Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001212
Narine Mesropyan, Elizabeth Huaroc Moquillaza, Johannes Chang, Philipp Lutz, Christoph Katemann, Kilian Weiss, Oliver M Weber, Johannes M Peeters, Tatjana Dell, Daniel Kuetting, Claus C Pieper, Can Yueksel, Mariya Doneva, Dimitrios C Karampinos, Julian A Luetkens, Alexander Isaak
Objectives: The diagnostic value of conventional T1 mapping for noninvasive assessment of liver fibrosis is limited in the presence of hepatic steatosis. To evaluate the diagnostic value of water T1 (wT1) with continuous inversion-recovery Look-Locker (CIR-LL) method, integrating spiral readout, Dixon, and dictionary-based processing, for the fat-corrected assessment of hepatic fibrosis in patients with chronic liver disease (CLD).
Materials and methods: In this prospective study, consecutive participants with CLD underwent liver magnetic resonance imaging (MRI), which included assessment of MR-elastography (MRE)-derived liver stiffness, proton density fat fraction (PDFF), T1 relaxation times using modified Look-Locker inversion recovery (T1-MOLLI) and extracellular volume fraction (ECV), and wT1 relaxation times. MRE served as the reference standard to evaluate the diagnostic performance of MRI-based mapping parameters. Significant fibrosis (≥F2) was defined as MRE-derived liver stiffness >3.66 kPa in patients with PDFF≤5%, or >3.14 kPa in patients with PDFF>5%. Statistical analysis included Student t test, receiver operating characteristic (ROC) analysis, and Spearman correlation coefficient.
Results: A total of 81 CLD patients (mean age, 50±14 y; 32 female; 40 patients with PDFF>5%) were included. All measured mapping values were significantly higher in patients with significant fibrosis compared with those without (eg, wT1: 628±82 vs. 546±41 ms, P <0.001). wT1 showed a strong correlation with MRE-derived liver stiffness, outperforming T1-MOLLI and ECV mapping [whole cohort: r =0.67 (wT1) vs. 0.53 (T1-MOLLI) vs. 0.48 (ECV); cohort with PDFF>5%: r =0.69 (wT1) vs. 0.44 (T1) vs. 0.49 (ECV); P <0.05 in each case, respectively]. wT1 had a superior diagnostic performance for the detection of significant fibrosis [whole cohort, area under the curve (AUC): 0.82 (wT1); 0.77 (T1-MOLLI); 0.73 (ECV), P <0.001 in each case; cohort with PDFF>5%, AUC: 0.84, P =0.002 (wT1), 0.70, P =0.04 (T1-MOLLI), 0.70, P =0.04 (ECV)].
Conclusion: Compared with T1-MOLLI and ECV mapping, the proposed fat-corrected CIR-LL wT1 method proved to be a more robust marker of hepatic fibrosis in CLD, also in the presence of hepatic steatosis.
目的:在肝脂肪变性的情况下,常规T1测图对肝纤维化无创评估的诊断价值有限。采用连续反转恢复Look-Locker (cirr - ll)方法,综合螺旋读数、Dixon和基于字典的处理,评估水T1 (wT1)在慢性肝病(CLD)患者肝纤维化脂肪校正评估中的诊断价值。材料和方法:在这项前瞻性研究中,连续的CLD参与者接受了肝脏磁共振成像(MRI),包括评估磁共振弹性成像(MRE)衍生的肝脏刚度、质子密度脂肪分数(PDFF)、T1弛豫时间(使用改进的Look-Locker反转恢复(T1- molli)和细胞外体积分数(ECV),以及wT1弛豫时间。以MRE为参考标准评价基于mri的作图参数的诊断性能。显著纤维化(≥F2)定义为:在PDFF≤5%的患者中,mre来源的肝硬度>3.66 kPa,或在PDFF>5%的患者中,>3.14 kPa。统计分析包括学生t检验、受试者工作特征(ROC)分析、Spearman相关系数分析。结果:共81例CLD患者(平均年龄50±14岁;32岁的女性;纳入40例PDFF患者(5%)。与无纤维化患者相比,有明显纤维化患者的所有测量映射值均显著升高(例如,wT1: 628±82 vs 546±41 ms, P5%: r=0.69 (wT1) vs. 0.44 (T1) vs. 0.49 (ECV);P5%, AUC: 0.84, P = 0.002 (wT1), 0.70, P = 0.04 (T1-MOLLI), 0.70, P = 0.04 (ECV)]。结论:与T1-MOLLI和ECV作图相比,本文提出的脂肪校正cirr - ll wT1方法被证明是CLD中肝纤维化的更强大的标志物,也存在肝脂肪变性。
{"title":"Dixon-Based Water T1 Mapping for Fat-Corrected Assessment of Hepatic Fibrosis in Chronic Liver Disease.","authors":"Narine Mesropyan, Elizabeth Huaroc Moquillaza, Johannes Chang, Philipp Lutz, Christoph Katemann, Kilian Weiss, Oliver M Weber, Johannes M Peeters, Tatjana Dell, Daniel Kuetting, Claus C Pieper, Can Yueksel, Mariya Doneva, Dimitrios C Karampinos, Julian A Luetkens, Alexander Isaak","doi":"10.1097/RLI.0000000000001212","DOIUrl":"10.1097/RLI.0000000000001212","url":null,"abstract":"<p><strong>Objectives: </strong>The diagnostic value of conventional T1 mapping for noninvasive assessment of liver fibrosis is limited in the presence of hepatic steatosis. To evaluate the diagnostic value of water T1 (wT1) with continuous inversion-recovery Look-Locker (CIR-LL) method, integrating spiral readout, Dixon, and dictionary-based processing, for the fat-corrected assessment of hepatic fibrosis in patients with chronic liver disease (CLD).</p><p><strong>Materials and methods: </strong>In this prospective study, consecutive participants with CLD underwent liver magnetic resonance imaging (MRI), which included assessment of MR-elastography (MRE)-derived liver stiffness, proton density fat fraction (PDFF), T1 relaxation times using modified Look-Locker inversion recovery (T1-MOLLI) and extracellular volume fraction (ECV), and wT1 relaxation times. MRE served as the reference standard to evaluate the diagnostic performance of MRI-based mapping parameters. Significant fibrosis (≥F2) was defined as MRE-derived liver stiffness >3.66 kPa in patients with PDFF≤5%, or >3.14 kPa in patients with PDFF>5%. Statistical analysis included Student t test, receiver operating characteristic (ROC) analysis, and Spearman correlation coefficient.</p><p><strong>Results: </strong>A total of 81 CLD patients (mean age, 50±14 y; 32 female; 40 patients with PDFF>5%) were included. All measured mapping values were significantly higher in patients with significant fibrosis compared with those without (eg, wT1: 628±82 vs. 546±41 ms, P <0.001). wT1 showed a strong correlation with MRE-derived liver stiffness, outperforming T1-MOLLI and ECV mapping [whole cohort: r =0.67 (wT1) vs. 0.53 (T1-MOLLI) vs. 0.48 (ECV); cohort with PDFF>5%: r =0.69 (wT1) vs. 0.44 (T1) vs. 0.49 (ECV); P <0.05 in each case, respectively]. wT1 had a superior diagnostic performance for the detection of significant fibrosis [whole cohort, area under the curve (AUC): 0.82 (wT1); 0.77 (T1-MOLLI); 0.73 (ECV), P <0.001 in each case; cohort with PDFF>5%, AUC: 0.84, P =0.002 (wT1), 0.70, P =0.04 (T1-MOLLI), 0.70, P =0.04 (ECV)].</p><p><strong>Conclusion: </strong>Compared with T1-MOLLI and ECV mapping, the proposed fat-corrected CIR-LL wT1 method proved to be a more robust marker of hepatic fibrosis in CLD, also in the presence of hepatic steatosis.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"84-91"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001209
Laura Degand, Clément Abi-Nader, Alexandre Bône, Rebeca Vetil, Davide Placido, Piotr Chmura, Marc-Michel Rohé, Federico De Masi, Søren Brunak
Purpose: To evaluate PANCANAI, a previously developed AI model for pancreatic cancer (PC) detection, on a longitudinal cohort of patients. In particular, aiming for PC detection on scans acquired before histopathologic diagnosis was assessed.
Materials and methods: The model has been previously trained to predict PC suspicion on 2134 portal venous CTs. In this study, the algorithm was evaluated on a retrospective cohort of Danish patients with biopsy-confirmed PC and with CT scans acquired between 2006 and 2016. The sensitivity was measured, and bootstrapping was performed to provide median and 95% CI.
Results: The study included 1083 PC patients (mean age: 69 y ± 11, 575 men). CT scans were divided into 2 groups: (1) concurrent diagnosis (CD): 1022 CT scans acquired within 2 months around histopathologic diagnosis, and (2) prediagnosis (PD): 198 CT scans acquired before histopathologic diagnosis (median 7 months before diagnosis). The sensitivity was 91.8% (938 of 1022; 95% CI: 89.9-93.5) and 68.7% (137 of 198; 95% CI: 62.1-75.3) on the CD and PD groups, respectively. Sensitivity on CT scans acquired 1 year or more before diagnosis was 53.9% (36 of 67; 95% CI: 41.8-65.7). Sensitivity on CT scans acquired at stage I was 82.9% (29 of 35; 95% CI: 68.6-94.3).
Conclusion: PANCANAI showed high sensitivity for automatic PC detection on a large retrospective cohort of biopsy-confirmed patients. PC suspicion was detected in more than half of the CT scans that were acquired at least a year before histopathologic diagnosis.
{"title":"Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans.","authors":"Laura Degand, Clément Abi-Nader, Alexandre Bône, Rebeca Vetil, Davide Placido, Piotr Chmura, Marc-Michel Rohé, Federico De Masi, Søren Brunak","doi":"10.1097/RLI.0000000000001209","DOIUrl":"10.1097/RLI.0000000000001209","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate PANCANAI, a previously developed AI model for pancreatic cancer (PC) detection, on a longitudinal cohort of patients. In particular, aiming for PC detection on scans acquired before histopathologic diagnosis was assessed.</p><p><strong>Materials and methods: </strong>The model has been previously trained to predict PC suspicion on 2134 portal venous CTs. In this study, the algorithm was evaluated on a retrospective cohort of Danish patients with biopsy-confirmed PC and with CT scans acquired between 2006 and 2016. The sensitivity was measured, and bootstrapping was performed to provide median and 95% CI.</p><p><strong>Results: </strong>The study included 1083 PC patients (mean age: 69 y ± 11, 575 men). CT scans were divided into 2 groups: (1) concurrent diagnosis (CD): 1022 CT scans acquired within 2 months around histopathologic diagnosis, and (2) prediagnosis (PD): 198 CT scans acquired before histopathologic diagnosis (median 7 months before diagnosis). The sensitivity was 91.8% (938 of 1022; 95% CI: 89.9-93.5) and 68.7% (137 of 198; 95% CI: 62.1-75.3) on the CD and PD groups, respectively. Sensitivity on CT scans acquired 1 year or more before diagnosis was 53.9% (36 of 67; 95% CI: 41.8-65.7). Sensitivity on CT scans acquired at stage I was 82.9% (29 of 35; 95% CI: 68.6-94.3).</p><p><strong>Conclusion: </strong>PANCANAI showed high sensitivity for automatic PC detection on a large retrospective cohort of biopsy-confirmed patients. PC suspicion was detected in more than half of the CT scans that were acquired at least a year before histopathologic diagnosis.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"75-83"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12736417/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144475251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001215
Kathrin Barbara Krug, Darius G Schafigh, Andra-Iza Iuga, Mathilda Weisthoff, Jean-Philip Weber, Wolfram Malter, David Maintz, Pascal A T Baltzer, Mathew G Wallis, Martin Hellmich, Konstantin Klein
<p><strong>Background: </strong>Focal breast lesions are observed in up to 5.8% of CT examinations performed in female patients for a wide variety of indications not affecting the breast. To simplify and standardize the further procedure in the case of breast masses visualized by computed tomography (CT), an easy and robust diagnostic approach in assigning surely benign findings, uncertain findings and probably malignant findings is warranted.</p><p><strong>Objective: </strong>We aimed (1) to determine the diagnostic gain of quantitative measurements of the iodine content in breast masses visualized in contrast-enhanced dual energy (DE) CT examinations additional to the assessment of qualitative image features; and (2) to generate an interactive hierarchical decision tree allowing to assess the individual probability of benign or malignant findings.</p><p><strong>Materials and methods: </strong>All contrast-enhanced DECT examinations performed in adult females from January 2018 to December 2020 were retrospectively screened for solid breast masses. Subsequently, the DECT images with confirmed breast masses were evaluated independently by 3 radiologists experienced in breast imaging using a structured questionnaire. First, the image characteristics of the ACR-BIRADS atlas on MRI were queried, and an assessment of the probability of benignancy or malignancy was requested. Second, the iodine content in the breast masses was interactively measured, and the readers were asked to provide a further assessment of the biological identity. Third, a decision tree was developed using a nonparametric supervised (machine) learning algorithm.</p><p><strong>Results: </strong>During the survey period, 5.591 contrast-enhanced DECT examinations of the chest were carried out in adult female patients. Six hundred eighty-seven DECTs (12.3%) displayed breast masses. The study group comprised 415 female patients (7.4%) with a benign or malignant breast mass confirmed by histology (155, 37.4%), a constant CT-course of ≥2 years without interfering therapy (202, 48.8%) and/or noninvasive breast imaging (57, 13.8%). Neither in the first step nor in the second step of the evaluations a cancer confirmed in the reference standard was classified as certainly benign. Subgroup analyses showed that the combined qualitative and quantitative approach was diagnostically superior compared with the sole descriptor-based assessments in 757 assessments of DECT evaluations with ACR 1+2 breast densities (AUC = 0.961 vs 0.924, lower bound 0.940 vs 0.893, upper bounds 0.982 vs 0.956, P = 0.001) and for the 541 assessments of DECT examinations visualizing masses in denser ACR 3+4 parenchyma (AUC = 0.972 vs 0.948, lower bound 0.953 vs 0.923, upper bound 0.991 vs 0.974, P = 0.043). Including iodine content into the descriptive image evaluations proved to be superior to the solely descriptor-based assessments in 456 assessments of lesions with >5 to 10 mm diameter and in 370 assessments of lesio
背景:在各种不影响乳房的适应症中,女性患者的CT检查中发现局灶性乳腺病变的比例高达5.8%。为了简化和规范计算机断层扫描(CT)乳腺肿块的进一步诊断程序,一种简单而可靠的诊断方法可以确定是良性的,不确定的和可能是恶性的。目的:我们的目的是(1)确定对比增强双能(DE) CT检查显示的乳腺肿块中碘含量的定量测量的诊断价值,以及定性图像特征的评估;(2)生成交互式分层决策树,以评估良性或恶性结果的个体概率。材料和方法:回顾性筛查2018年1月至2020年12月期间所有成年女性行对比增强DECT检查的实性乳房肿块。随后,3名具有乳腺影像学经验的放射科医生使用结构化问卷对确诊乳腺肿块的DECT图像进行独立评估。首先,查询ACR-BIRADS图谱在MRI上的图像特征,并对其良恶性概率进行评估。其次,交互式测量乳房肿块中的碘含量,并要求读者提供进一步的生物身份评估。第三,利用非参数监督(机器)学习算法构建决策树。结果:调查期间,对成年女性患者进行胸部增强DECT检查5591次。687例dect(12.3%)显示乳腺肿块。研究组包括415例(7.4%)女性患者,经组织学证实为乳腺良性或恶性肿块(155例,37.4%),连续ct治疗≥2年,无干扰治疗(202例,48.8%)和/或无创乳腺成像(57例,13.8%)。在评估的第一步和第二步中,在参考标准中确认的癌症都没有被归类为肯定是良性的。子群分析表明,结合定性和定量的方法诊断优越而DECT的唯一descriptor-based评估757年评估评估与ACR 1 + 2乳房密度(AUC = 0.961 vs 0.924,下界0.940 vs 0.893,上界0.982 vs 0.956, P = 0.001)和541年的评估DECT考试可视化质量密度ACR 3 + 4薄壁组织(AUC = 0.972 vs 0.948,下界0.953 vs 0.923,最大值0.991 vs 0.974,P = 0.043)。在456例直径为5 ~ 10 mm的病变评估和370例直径为10 ~ 20 mm的病变评估中,将碘含量纳入描述性图像评估证明优于仅基于描述符的评估(P分别= 0.002、0.002和0.018)。肿块轮廓被证明是步骤3中建立的良性和恶性病变鉴别交互分类树的第一层次决策层。在第二级层次中,自动生成的碘含量分类允许生成3个类似于BIRADS分类的诊断预测因子,深度为2个分支。结论:DECT检测的乳腺肿块碘含量信息增加了对病变生物学意义评估的诊断确定性。本文提出的非参数决策树有助于将语义和定量图像数据交互结合,用于乳腺肿块的临床常规诊断。
{"title":"Assignment of the Biological Identity of Breast Masses in Contrast-enhanced Spectral Computed Tomography Examinations of Chest Carried Out in Clinical Routine Diagnostics.","authors":"Kathrin Barbara Krug, Darius G Schafigh, Andra-Iza Iuga, Mathilda Weisthoff, Jean-Philip Weber, Wolfram Malter, David Maintz, Pascal A T Baltzer, Mathew G Wallis, Martin Hellmich, Konstantin Klein","doi":"10.1097/RLI.0000000000001215","DOIUrl":"10.1097/RLI.0000000000001215","url":null,"abstract":"<p><strong>Background: </strong>Focal breast lesions are observed in up to 5.8% of CT examinations performed in female patients for a wide variety of indications not affecting the breast. To simplify and standardize the further procedure in the case of breast masses visualized by computed tomography (CT), an easy and robust diagnostic approach in assigning surely benign findings, uncertain findings and probably malignant findings is warranted.</p><p><strong>Objective: </strong>We aimed (1) to determine the diagnostic gain of quantitative measurements of the iodine content in breast masses visualized in contrast-enhanced dual energy (DE) CT examinations additional to the assessment of qualitative image features; and (2) to generate an interactive hierarchical decision tree allowing to assess the individual probability of benign or malignant findings.</p><p><strong>Materials and methods: </strong>All contrast-enhanced DECT examinations performed in adult females from January 2018 to December 2020 were retrospectively screened for solid breast masses. Subsequently, the DECT images with confirmed breast masses were evaluated independently by 3 radiologists experienced in breast imaging using a structured questionnaire. First, the image characteristics of the ACR-BIRADS atlas on MRI were queried, and an assessment of the probability of benignancy or malignancy was requested. Second, the iodine content in the breast masses was interactively measured, and the readers were asked to provide a further assessment of the biological identity. Third, a decision tree was developed using a nonparametric supervised (machine) learning algorithm.</p><p><strong>Results: </strong>During the survey period, 5.591 contrast-enhanced DECT examinations of the chest were carried out in adult female patients. Six hundred eighty-seven DECTs (12.3%) displayed breast masses. The study group comprised 415 female patients (7.4%) with a benign or malignant breast mass confirmed by histology (155, 37.4%), a constant CT-course of ≥2 years without interfering therapy (202, 48.8%) and/or noninvasive breast imaging (57, 13.8%). Neither in the first step nor in the second step of the evaluations a cancer confirmed in the reference standard was classified as certainly benign. Subgroup analyses showed that the combined qualitative and quantitative approach was diagnostically superior compared with the sole descriptor-based assessments in 757 assessments of DECT evaluations with ACR 1+2 breast densities (AUC = 0.961 vs 0.924, lower bound 0.940 vs 0.893, upper bounds 0.982 vs 0.956, P = 0.001) and for the 541 assessments of DECT examinations visualizing masses in denser ACR 3+4 parenchyma (AUC = 0.972 vs 0.948, lower bound 0.953 vs 0.923, upper bound 0.991 vs 0.974, P = 0.043). Including iodine content into the descriptive image evaluations proved to be superior to the solely descriptor-based assessments in 456 assessments of lesions with >5 to 10 mm diameter and in 370 assessments of lesio","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"92-102"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144730951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001214
Mahesh B Keerthivasan, Mary Bruno, Eddy Solomon, Ryan Brown, Douglas Brantner, Kai Tobias Block, Hersh Chandarana
Objectives: Quantitative proton density fat fraction (PDFF) and R2* estimation at lower field strengths, such as 0.55 T, is challenging due to lower signal-to-noise ratio, reduced fat water chemical shift, and increased T2* relaxation times. In this study, we propose a 3D hybrid technique for abdominal imaging at 0.55 T that enables the simultaneous acquisition of T2-weighted and T1-weighted images and quantification of fat fraction and R2* parameters.
Materials and methods: Numerical simulations were performed to optimize a prototype radial hybrid turbo spin echo gradient echo (TSE-GRE) acquisition scheme for improved PDFF and R2* estimation accuracy. Phantom imaging experiments with and without motion were performed to evaluate the sensitivity of the estimation to external motion. Eleven volunteers were imaged on a prototype 0.55 T system. Data were acquired using the proposed technique under free-breathing conditions, and motion-compensated reconstruction was performed using the respiratory signal from a pilot-tone device. Image contrast and estimation performance were compared with conventional acquisition schemes in vitro and in vivo.
Results: Numerical simulations indicated R2* estimation accuracy was more sensitive to the choice of echo time compared with PDFF. Performing motion compensation reduced the mean error in R2* from 24 to 5 s -1 while the mean error in PDFF only reduced from 2.7% to 1.6%. The proposed technique generated T2-weighted images with comparable relative liver-spleen contrast as conventional imaging and there were no significant differences ( P >0.05) in the PDFF and R2* values estimated from the hybrid technique compared with conventional multi-echo GRE. Further, the free-breathing acquisition allowed improved slice coverage while overcoming breath-hold limitations of conventional acquisition schemes.
Conclusions: The use of a hybrid TSE-GRE acquisition technique can allow simultaneous morphological and quantitative PDFF and R2* estimation at 0.55 T under free-breathing conditions.
{"title":"Free-Breathing Hybrid Technique for Simultaneous Morphological and Quantitative Abdominal Imaging at 0.55 T.","authors":"Mahesh B Keerthivasan, Mary Bruno, Eddy Solomon, Ryan Brown, Douglas Brantner, Kai Tobias Block, Hersh Chandarana","doi":"10.1097/RLI.0000000000001214","DOIUrl":"10.1097/RLI.0000000000001214","url":null,"abstract":"<p><strong>Objectives: </strong>Quantitative proton density fat fraction (PDFF) and R2* estimation at lower field strengths, such as 0.55 T, is challenging due to lower signal-to-noise ratio, reduced fat water chemical shift, and increased T2* relaxation times. In this study, we propose a 3D hybrid technique for abdominal imaging at 0.55 T that enables the simultaneous acquisition of T2-weighted and T1-weighted images and quantification of fat fraction and R2* parameters.</p><p><strong>Materials and methods: </strong>Numerical simulations were performed to optimize a prototype radial hybrid turbo spin echo gradient echo (TSE-GRE) acquisition scheme for improved PDFF and R2* estimation accuracy. Phantom imaging experiments with and without motion were performed to evaluate the sensitivity of the estimation to external motion. Eleven volunteers were imaged on a prototype 0.55 T system. Data were acquired using the proposed technique under free-breathing conditions, and motion-compensated reconstruction was performed using the respiratory signal from a pilot-tone device. Image contrast and estimation performance were compared with conventional acquisition schemes in vitro and in vivo.</p><p><strong>Results: </strong>Numerical simulations indicated R2* estimation accuracy was more sensitive to the choice of echo time compared with PDFF. Performing motion compensation reduced the mean error in R2* from 24 to 5 s -1 while the mean error in PDFF only reduced from 2.7% to 1.6%. The proposed technique generated T2-weighted images with comparable relative liver-spleen contrast as conventional imaging and there were no significant differences ( P >0.05) in the PDFF and R2* values estimated from the hybrid technique compared with conventional multi-echo GRE. Further, the free-breathing acquisition allowed improved slice coverage while overcoming breath-hold limitations of conventional acquisition schemes.</p><p><strong>Conclusions: </strong>The use of a hybrid TSE-GRE acquisition technique can allow simultaneous morphological and quantitative PDFF and R2* estimation at 0.55 T under free-breathing conditions.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"111-120"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144284371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001218
Lavanya Umapathy, Patricia M Johnson, Tarun Dutt, Angela Tong, Sumit Chopra, Daniel K Sodickson, Hersh Chandarana
<p><strong>Objectives: </strong>Despite its high negative predictive value (NPV) for clinically significant prostate cancer (csPCa), MRI suffers from a substantial number of false positives, especially for intermediate-risk cases. In this work, we determine whether a deep learning model trained with PI-RADS-guided representation learning can disambiguate the PI-RADS 3 classification, detect csPCa from bi-parametric prostate MR images, and avoid unnecessary benign biopsies.</p><p><strong>Materials and methods: </strong>This study included 28,263 MR examinations and radiology reports from 21,938 men imaged for known or suspected prostate cancer between 2015 and 2023 at our institution (21 imaging locations with 34 readers), with 6352 subsequent biopsies. We trained a deep learning model, a representation learner (RL), to learn how radiologists interpret conventionally acquired T2-weighted and diffusion-weighted MR images, using exams in which the radiologists are confident in their risk assessments (PI-RADS 1 and 2 for the absence of csPCa vs. PI-RADS 4 and 5 for the presence of csPCa, n=21,465). We then trained biopsy-decision models to detect csPCa (Gleason score ≥7) using these learned image representations, and compared them to the performance of radiologists, and of models trained on other clinical variables (age, prostate volume, PSA, and PSA density) for treatment-naïve test cohorts consisting of only PI-RADS 3 (n=253, csPCa=103) and all PI-RADS (n=531, csPCa=300) cases.</p><p><strong>Results: </strong>On the 2 test cohorts (PI-RADS-3-only, all-PI-RADS), RL-based biopsy-decision models consistently yielded higher AUCs in detecting csPCa (AUC=0.73 [0.66, 0.79], 0.88 [0.85, 0.91]) compared with radiologists (equivocal, AUC=0.79 [0.75, 0.83]) and the clinical model (AUCs=0.69 [0.62, 0.75], 0.78 [0.74, 0.82]). In the PIRADS-3-only cohort, all of whom would be biopsied using our institution's standard of care, the RL decision model avoided 41% (62/150) of benign biopsies compared with the clinical model (26%, P <0.001), and improved biopsy yield by 10% compared with the PI-RADS ≥3 decision strategy (0.50 vs. 0.40). Furthermore, on the all-PI-RADS cohort, RL decision model avoided 27% of additional benign biopsies (138/231) compared to radiologists (33%, P <0.001) with comparable sensitivity (93% vs. 92%), higher NPV (0.87 vs. 0.77), and biopsy yield (0.75 vs. 0.64). The combination of clinical and RL decision models further avoided benign biopsies (46% in PI-RADS-3-only and 62% in all-PI-RADS) while improving NPV (0.82, 0.88) and biopsy yields (0.52, 0.76) across the 2 test cohorts.</p><p><strong>Conclusions: </strong>Our PI-RADS-guided deep learning RL model learns summary representations from bi-parametric prostate MR images that can provide additional information to disambiguate intermediate-risk PI-RADS 3 assessments. The resulting RL-based biopsy decision models also outperformed radiologists in avoiding benign biopsies while maintaining com
{"title":"Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies.","authors":"Lavanya Umapathy, Patricia M Johnson, Tarun Dutt, Angela Tong, Sumit Chopra, Daniel K Sodickson, Hersh Chandarana","doi":"10.1097/RLI.0000000000001218","DOIUrl":"10.1097/RLI.0000000000001218","url":null,"abstract":"<p><strong>Objectives: </strong>Despite its high negative predictive value (NPV) for clinically significant prostate cancer (csPCa), MRI suffers from a substantial number of false positives, especially for intermediate-risk cases. In this work, we determine whether a deep learning model trained with PI-RADS-guided representation learning can disambiguate the PI-RADS 3 classification, detect csPCa from bi-parametric prostate MR images, and avoid unnecessary benign biopsies.</p><p><strong>Materials and methods: </strong>This study included 28,263 MR examinations and radiology reports from 21,938 men imaged for known or suspected prostate cancer between 2015 and 2023 at our institution (21 imaging locations with 34 readers), with 6352 subsequent biopsies. We trained a deep learning model, a representation learner (RL), to learn how radiologists interpret conventionally acquired T2-weighted and diffusion-weighted MR images, using exams in which the radiologists are confident in their risk assessments (PI-RADS 1 and 2 for the absence of csPCa vs. PI-RADS 4 and 5 for the presence of csPCa, n=21,465). We then trained biopsy-decision models to detect csPCa (Gleason score ≥7) using these learned image representations, and compared them to the performance of radiologists, and of models trained on other clinical variables (age, prostate volume, PSA, and PSA density) for treatment-naïve test cohorts consisting of only PI-RADS 3 (n=253, csPCa=103) and all PI-RADS (n=531, csPCa=300) cases.</p><p><strong>Results: </strong>On the 2 test cohorts (PI-RADS-3-only, all-PI-RADS), RL-based biopsy-decision models consistently yielded higher AUCs in detecting csPCa (AUC=0.73 [0.66, 0.79], 0.88 [0.85, 0.91]) compared with radiologists (equivocal, AUC=0.79 [0.75, 0.83]) and the clinical model (AUCs=0.69 [0.62, 0.75], 0.78 [0.74, 0.82]). In the PIRADS-3-only cohort, all of whom would be biopsied using our institution's standard of care, the RL decision model avoided 41% (62/150) of benign biopsies compared with the clinical model (26%, P <0.001), and improved biopsy yield by 10% compared with the PI-RADS ≥3 decision strategy (0.50 vs. 0.40). Furthermore, on the all-PI-RADS cohort, RL decision model avoided 27% of additional benign biopsies (138/231) compared to radiologists (33%, P <0.001) with comparable sensitivity (93% vs. 92%), higher NPV (0.87 vs. 0.77), and biopsy yield (0.75 vs. 0.64). The combination of clinical and RL decision models further avoided benign biopsies (46% in PI-RADS-3-only and 62% in all-PI-RADS) while improving NPV (0.82, 0.88) and biopsy yields (0.52, 0.76) across the 2 test cohorts.</p><p><strong>Conclusions: </strong>Our PI-RADS-guided deep learning RL model learns summary representations from bi-parametric prostate MR images that can provide additional information to disambiguate intermediate-risk PI-RADS 3 assessments. The resulting RL-based biopsy decision models also outperformed radiologists in avoiding benign biopsies while maintaining com","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"127-135"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12336996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144527976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001217
Khuld A Saeedi, Govind B Chavhan, Tanja Gonska, Vicky L Ng, Blayne A Sayed, Caroline Rutten
Background and aims: There is scarcity of data on the prevalence of abnormal pancreaticobiliary junction (APBJ) in children. This study aimed to determine the frequency and clinical significance of APBJ including pancreas divisum (PD) and common channel (CC) using magnetic resonance cholangiopancreatography (MRCP).
Materials and methods: Single-center, retrospective study of MRCPs in children aged 0 to 18 years from 2012 to 2022. Two independent readers assessed PBJ visibility, abnormalities (PD, CC, other), and CC length. Findings were correlated with presenting diagnoses of choledochal cyst, biliary lithiasis, and pancreatitis.
Results: A total of 631 MRCPs were included (46.8% females; mean age: 12 ± 5 y). The PBJ was visible in 85.7% of cases. APBJ was observed in 114/631 (18.1%) children, with PD in 47 (7.4%) cases and CC in 61 (9.7%) cases, with an average length of 9 mm (range, 3 to 22 mm). There was a significant inverse association between PD and biliary lithiasis ( P = 0.02). There was no association between PD and pancreatitis. CC was significantly associated with choledochal cyst ( P < 0.0001), pancreatitis ( P = 0.004) and biliary lithiasis ( P < 0.0001), with 21/61 (34.4%) of CC demonstrating stones within (median age: 3.8 y). The CC length was also significantly associated with complications ( P = 0.014), with complication-free cases having a median length of 7 mm (range, 4 to 8) compared with 11 mm (range, 3 to 25) in complicated cases.
Conclusion: APBJ is a frequent finding on pediatric MRCP. CC is significantly associated with choledochal cyst, pancreatitis and lithiasis, and may show stones within them, particularly in small children. PD is inversely associated with biliary lithiasis. Careful PBJ assessment is important in children.
{"title":"Abnormal Pancreaticobiliary Junction in Children: Frequency on Magnetic Resonance Cholangiopancreatography and Associated Pancreaticobiliary Diseases.","authors":"Khuld A Saeedi, Govind B Chavhan, Tanja Gonska, Vicky L Ng, Blayne A Sayed, Caroline Rutten","doi":"10.1097/RLI.0000000000001217","DOIUrl":"10.1097/RLI.0000000000001217","url":null,"abstract":"<p><strong>Background and aims: </strong>There is scarcity of data on the prevalence of abnormal pancreaticobiliary junction (APBJ) in children. This study aimed to determine the frequency and clinical significance of APBJ including pancreas divisum (PD) and common channel (CC) using magnetic resonance cholangiopancreatography (MRCP).</p><p><strong>Materials and methods: </strong>Single-center, retrospective study of MRCPs in children aged 0 to 18 years from 2012 to 2022. Two independent readers assessed PBJ visibility, abnormalities (PD, CC, other), and CC length. Findings were correlated with presenting diagnoses of choledochal cyst, biliary lithiasis, and pancreatitis.</p><p><strong>Results: </strong>A total of 631 MRCPs were included (46.8% females; mean age: 12 ± 5 y). The PBJ was visible in 85.7% of cases. APBJ was observed in 114/631 (18.1%) children, with PD in 47 (7.4%) cases and CC in 61 (9.7%) cases, with an average length of 9 mm (range, 3 to 22 mm). There was a significant inverse association between PD and biliary lithiasis ( P = 0.02). There was no association between PD and pancreatitis. CC was significantly associated with choledochal cyst ( P < 0.0001), pancreatitis ( P = 0.004) and biliary lithiasis ( P < 0.0001), with 21/61 (34.4%) of CC demonstrating stones within (median age: 3.8 y). The CC length was also significantly associated with complications ( P = 0.014), with complication-free cases having a median length of 7 mm (range, 4 to 8) compared with 11 mm (range, 3 to 25) in complicated cases.</p><p><strong>Conclusion: </strong>APBJ is a frequent finding on pediatric MRCP. CC is significantly associated with choledochal cyst, pancreatitis and lithiasis, and may show stones within them, particularly in small children. PD is inversely associated with biliary lithiasis. Careful PBJ assessment is important in children.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"121-126"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001213
Andreas Henkel, Sergej Geiger, Julia Wagenpfeil, Daniel L Kuetting, Julian A Luetkens, Claus C Pieper
Objectives: Contrast-enhanced MR lymphangiography (CE-MRL) with pedal interstitial injection of a gadolinium-based contrast agent is increasingly employed in patients with lymphedema (off-label use). However, data on short-term tolerability and possible long-term adverse effects are limited. This study aimed to report clinical experiences regarding the tolerability and long-term safety of CE-MRL.
Materials and methods: A total of 168 patients (36 male; mean age 49.1±16.4 y) with clinically diagnosed lymphedema underwent clinically indicated CE-MRL. A total of 8 mL of diluted MR contrast agent (6 mL 1.0 mmol/mL Gadobutrol, 2 mL saline solution) was prepared. After intradermal administration of 0.2 mL local anesthetic, 1 mL of this contrast agent solution was injected intradermally into each interdigital space. To assess tolerability, patients were asked after the examination about their experience regarding remaining motionless during the examination, confinement in the MRI scanner, interdigital contrast injection, and the overall experience [5-point Likert scale (1: very easy/well tolerable, 5: very difficult/intolerable)]. Adverse events were systematically recorded during a clinical follow-up visit (≥3 mo after CE-MRL) through direct patient inquiry and inspection of the injection sites.
Results: CE-MRL was technically successful in all cases. Mean clinical follow-up was 36±19 months (range: 3 to 81 mo). The ease of remaining motionless was rated as very easy or mostly easy in 98.2% of cases, the tolerability of confinement in the MRI scanner as well as tolerable or mostly tolerable in 97.6%, the contrast injection in 85.1%, and the overall experience in 97.6%. In addition, 95.8% of patients would recommend CE-MRL under similar conditions. Five patients reported transient irritation of the skin (n=3, 1.8%) and/or light interdigital pain (n=3, 1.8%) for 1 or 2 days at the injection site. No other adverse events were observed.
Conclusion: CE-MRL is well tolerated and safe. Intradermal interdigital contrast injection was the most uncomfortable part of the examination, but was still well tolerated by most patients without any long-term adverse events.
{"title":"Tolerability and Long-Term Safety of Gadolinium-Based Contrast-Enhanced Interstitial Pedal MR Lymphangiography in Patients With Lymphedema.","authors":"Andreas Henkel, Sergej Geiger, Julia Wagenpfeil, Daniel L Kuetting, Julian A Luetkens, Claus C Pieper","doi":"10.1097/RLI.0000000000001213","DOIUrl":"10.1097/RLI.0000000000001213","url":null,"abstract":"<p><strong>Objectives: </strong>Contrast-enhanced MR lymphangiography (CE-MRL) with pedal interstitial injection of a gadolinium-based contrast agent is increasingly employed in patients with lymphedema (off-label use). However, data on short-term tolerability and possible long-term adverse effects are limited. This study aimed to report clinical experiences regarding the tolerability and long-term safety of CE-MRL.</p><p><strong>Materials and methods: </strong>A total of 168 patients (36 male; mean age 49.1±16.4 y) with clinically diagnosed lymphedema underwent clinically indicated CE-MRL. A total of 8 mL of diluted MR contrast agent (6 mL 1.0 mmol/mL Gadobutrol, 2 mL saline solution) was prepared. After intradermal administration of 0.2 mL local anesthetic, 1 mL of this contrast agent solution was injected intradermally into each interdigital space. To assess tolerability, patients were asked after the examination about their experience regarding remaining motionless during the examination, confinement in the MRI scanner, interdigital contrast injection, and the overall experience [5-point Likert scale (1: very easy/well tolerable, 5: very difficult/intolerable)]. Adverse events were systematically recorded during a clinical follow-up visit (≥3 mo after CE-MRL) through direct patient inquiry and inspection of the injection sites.</p><p><strong>Results: </strong>CE-MRL was technically successful in all cases. Mean clinical follow-up was 36±19 months (range: 3 to 81 mo). The ease of remaining motionless was rated as very easy or mostly easy in 98.2% of cases, the tolerability of confinement in the MRI scanner as well as tolerable or mostly tolerable in 97.6%, the contrast injection in 85.1%, and the overall experience in 97.6%. In addition, 95.8% of patients would recommend CE-MRL under similar conditions. Five patients reported transient irritation of the skin (n=3, 1.8%) and/or light interdigital pain (n=3, 1.8%) for 1 or 2 days at the injection site. No other adverse events were observed.</p><p><strong>Conclusion: </strong>CE-MRL is well tolerated and safe. Intradermal interdigital contrast injection was the most uncomfortable part of the examination, but was still well tolerated by most patients without any long-term adverse events.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"103-110"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144258111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1097/RLI.0000000000001221
Antoine Janin-Manificat, Monica Sigovan, Eduardo Davila, Charles de Bourguignon, Salim Si-Mohamed, Loic Boussel, Benoit Cosset, Yoad Yagil, Antoine Millon, Philippe Douek, Sara Boccalini
Objectives: To compare the performance of conventional CT (conv-CT) and spectral CT (spectral-CT) for the detection and characterization of communications between the true (TL) and false lumen (FL) in aortic dissections, using 4D flow MRI as the reference.
Materials and methods: Eighteen patients with type A and type B aortic dissection who underwent 4D flow MRI, conv-CT and spectral-CT were retrospectively analyzed. For each patient, the examinations closest in time, without any intervention in-between, were retrieved and subjectively analyzed by 2 observers, independently for conv-CT and in consensus for MRI and spectral-CT. Communications between the two lumina were identified as: focal alterations in velocities corresponding to jet flows on 4D flow; both intimal tears and/or focal changes of contrast concentration corresponding to jet flows on conv-CT and spectral-CT. The number and location of communications were noted. The direction of the flow was assessed whenever the jet flow was visible. The performance of conventional and spectral-CT was calculated.
Results: Of the 176 communications detected with 4D flow, spectral-CT allowed visualization of 122(69%) compared with 58 (33%) for observer-1 and 38 (22%) for observer-2 for conv-CT, yielding an accuracy twice as high (63% vs 29% to 30%).Only jet flows, without visible intimal tears, were detected in 0 and 77 (63%) cases for conv-CT and spectral-CT, respectively.The flow was unidirectional FL-TL in 2 cases for MRI and spectral-CT and 1 case for conv-CT, bidirectional in 5 and 3 cases for MRI and spectral-CT, respectively. In all other cases, the direction was TL-FL.
Conclusion: Spectral-CT outperformed conv-CT for the detection of communications between TL and FL in aortic dissections. Spectral-CT allowed for direct visualization of flow jets, and their direction, through intimal tears.
{"title":"Spectral Computed Tomography for the Detection and Characterization of Communications Between the True and the False Lumen in Aortic Dissections.","authors":"Antoine Janin-Manificat, Monica Sigovan, Eduardo Davila, Charles de Bourguignon, Salim Si-Mohamed, Loic Boussel, Benoit Cosset, Yoad Yagil, Antoine Millon, Philippe Douek, Sara Boccalini","doi":"10.1097/RLI.0000000000001221","DOIUrl":"10.1097/RLI.0000000000001221","url":null,"abstract":"<p><strong>Objectives: </strong>To compare the performance of conventional CT (conv-CT) and spectral CT (spectral-CT) for the detection and characterization of communications between the true (TL) and false lumen (FL) in aortic dissections, using 4D flow MRI as the reference.</p><p><strong>Materials and methods: </strong>Eighteen patients with type A and type B aortic dissection who underwent 4D flow MRI, conv-CT and spectral-CT were retrospectively analyzed. For each patient, the examinations closest in time, without any intervention in-between, were retrieved and subjectively analyzed by 2 observers, independently for conv-CT and in consensus for MRI and spectral-CT. Communications between the two lumina were identified as: focal alterations in velocities corresponding to jet flows on 4D flow; both intimal tears and/or focal changes of contrast concentration corresponding to jet flows on conv-CT and spectral-CT. The number and location of communications were noted. The direction of the flow was assessed whenever the jet flow was visible. The performance of conventional and spectral-CT was calculated.</p><p><strong>Results: </strong>Of the 176 communications detected with 4D flow, spectral-CT allowed visualization of 122(69%) compared with 58 (33%) for observer-1 and 38 (22%) for observer-2 for conv-CT, yielding an accuracy twice as high (63% vs 29% to 30%).Only jet flows, without visible intimal tears, were detected in 0 and 77 (63%) cases for conv-CT and spectral-CT, respectively.The flow was unidirectional FL-TL in 2 cases for MRI and spectral-CT and 1 case for conv-CT, bidirectional in 5 and 3 cases for MRI and spectral-CT, respectively. In all other cases, the direction was TL-FL.</p><p><strong>Conclusion: </strong>Spectral-CT outperformed conv-CT for the detection of communications between TL and FL in aortic dissections. Spectral-CT allowed for direct visualization of flow jets, and their direction, through intimal tears.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":"136-144"},"PeriodicalIF":8.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12736396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145080262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-21DOI: 10.1097/RLI.0000000000001266
Zsolt Szucs-Farkas, Ludovic G Perrin, Badis M'Hamdi, Hasan Zaytoun, Andreas Christe, Adrian T Huber
Background and objectives: Following endovascular repair of an aortic aneurysm, patients need regular surveillance using CT to exclude endoleaks. The optimal technical parameters for photon-counting detector CT (PCD-CT) have not yet been established in this clinical context. This study examines the impact of the ultra-high resolution (UHR) mode and monoenergetic reconstructions at various keV on the detection of small endoleaks in experimental settings.
Materials and methods: An aneurysm phantom model mimicking medium- and large-sized patients was scanned using PCD-CT. Monoenergetic images (MEIs) were reconstructed with standard resolution at 40, 45, 50, 55, and 60 keV and with UHR at 45, 50, and 55 keV. Three independent blinded radiologists assessed 80 CT series containing 2880 simulated endoleaks with diameters of 2, 4, and 6 mm. The observers' ratings were analyzed and compared with the jackknife alternative free-response operational characteristics (JAFROC1) method by calculating a figure-of-merit for the performance ( A1 ). The Spearman R was calculated for the correlation between A1 and objective image quality.
Results: The best readers' performance was achieved with the 50 keV UHR, 55 keV standard, 55 keV UHR, and 60 keV standard series ( A1 =0.66 to 0.72) in the medium and with the 55 keV standard, 55 keV UHR, and 60 keV standard reconstructions ( A1 = 0.40 to 0.49) in the large phantom. UHR provided higher A1 than the standard reconstruction at 50 keV for 4 to 6 mm endoleaks ( A1 , 0.82 vs. 0.72; P =0.015 in medium and 0.42 vs. 0.30; P =0.028 in large phantom) and for 6 mm endoleaks ( A1 , 0.93 vs. 0.83; P =0.002 in medium and 0.53 vs. 0.36; P =0.013 in large phantom). In both phantoms, readers' performance correlated negatively with image noise (Spearman R =-0.83; P =0.01 in the medium and Spearman R =-0.98; P <0.001 in the large phantom) and showed no correlation with the contrast-to-noise ratio of endoleaks ( P =0.91 and 0.73).
Conclusions: The 55 keV standard or UHR and 60 keV standard reconstructions yielded the best performance for detecting small endoleaks with PCD-CT. The UHR mode improved performance at 50 keV for 4 to 6 mm and 6 mm endoleaks.
{"title":"Effect of Monoenergetic Reconstructions and Ultra-High-Resolution on the Detection of Small Endoleaks With Photon-Counting Detector CT.","authors":"Zsolt Szucs-Farkas, Ludovic G Perrin, Badis M'Hamdi, Hasan Zaytoun, Andreas Christe, Adrian T Huber","doi":"10.1097/RLI.0000000000001266","DOIUrl":"10.1097/RLI.0000000000001266","url":null,"abstract":"<p><strong>Background and objectives: </strong>Following endovascular repair of an aortic aneurysm, patients need regular surveillance using CT to exclude endoleaks. The optimal technical parameters for photon-counting detector CT (PCD-CT) have not yet been established in this clinical context. This study examines the impact of the ultra-high resolution (UHR) mode and monoenergetic reconstructions at various keV on the detection of small endoleaks in experimental settings.</p><p><strong>Materials and methods: </strong>An aneurysm phantom model mimicking medium- and large-sized patients was scanned using PCD-CT. Monoenergetic images (MEIs) were reconstructed with standard resolution at 40, 45, 50, 55, and 60 keV and with UHR at 45, 50, and 55 keV. Three independent blinded radiologists assessed 80 CT series containing 2880 simulated endoleaks with diameters of 2, 4, and 6 mm. The observers' ratings were analyzed and compared with the jackknife alternative free-response operational characteristics (JAFROC1) method by calculating a figure-of-merit for the performance ( A1 ). The Spearman R was calculated for the correlation between A1 and objective image quality.</p><p><strong>Results: </strong>The best readers' performance was achieved with the 50 keV UHR, 55 keV standard, 55 keV UHR, and 60 keV standard series ( A1 =0.66 to 0.72) in the medium and with the 55 keV standard, 55 keV UHR, and 60 keV standard reconstructions ( A1 = 0.40 to 0.49) in the large phantom. UHR provided higher A1 than the standard reconstruction at 50 keV for 4 to 6 mm endoleaks ( A1 , 0.82 vs. 0.72; P =0.015 in medium and 0.42 vs. 0.30; P =0.028 in large phantom) and for 6 mm endoleaks ( A1 , 0.93 vs. 0.83; P =0.002 in medium and 0.53 vs. 0.36; P =0.013 in large phantom). In both phantoms, readers' performance correlated negatively with image noise (Spearman R =-0.83; P =0.01 in the medium and Spearman R =-0.98; P <0.001 in the large phantom) and showed no correlation with the contrast-to-noise ratio of endoleaks ( P =0.91 and 0.73).</p><p><strong>Conclusions: </strong>The 55 keV standard or UHR and 60 keV standard reconstructions yielded the best performance for detecting small endoleaks with PCD-CT. The UHR mode improved performance at 50 keV for 4 to 6 mm and 6 mm endoleaks.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":""},"PeriodicalIF":8.0,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146010437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1097/RLI.0000000000001256
Martin Aepli, Andreas Fischer, Hannes A Rüdiger, Michael Leunig, Andrea B Rosskopf, Anika Stephan, Vincent A Stadelmann, Christian W A Pfirrmann
Background: Despite the increasing use of MARS (metal artifact reduction sequence) MRI to investigate painful total hip arthroplasties (THA), no validated criteria exist for diagnosing femoral stem loosening.
Purpose: To evaluate MARS MRI for the diagnosis of aseptic stem loosening and determine its diagnostic accuracy.
Materials and methods: One hundred fourteen consecutive cases with THA revision surgery and MARS MRI of the hip were retrospectively included. Two blinded musculoskeletal radiologists independently assessed periprosthetic bone resorption (PPBR), bone marrow edema (BME), periosteal reaction (PR), and periprosthetic osteolysis (PO) in 14 Gruen zones (GZ). Intraoperative findings at revision surgery served as the ground truth. A predictive model was created using binomial logistic regression models to predict the probability of a loose stem with maximizing positive predictive value (PPV) and accuracy. Interobserver reliability was assessed with absolute agreement, Cohen κ and Gwet AC1.
Results: During surgery, 66 stems were fixed and 48 loose. PPBR occurred significantly more frequently in loose stems across all GZs except GZ11. Proximal PPBR was also observed in fixed stems (up to 23%), whereas middle and distal PPBR were rare (≤3%). BME was most prevalent proximally in all stems (fixed/loose: 39%/60%) with significant differences medially and distally. PR was significantly more frequent in loose stems in the middle and distal GZs. PO were rare, most occurred in GZ7. The predictive model considering proximal PPBR, mid-distal PPBR, mid-distal PR, and distal BME performed with a sensitivity of 0.708, specificity of 0.970, PPV 0.944, negative predictive value 0.821. Interobserver agreement (Gwet AC1) in the considered zones was for PPBR between 0.80 and 0.98, BME 0.91 to 0.99, PR 0.87 to 0.97.
Conclusions: MARS MRI is reproducible and accurate for assessing stem loosening. PPBR, BME, and PR can also be found in fixed THA in the proximal region, whereas they indicate loosening in the middle and distal stem region.
{"title":"MARS MRI for the Diagnosis of Aseptic Stem Loosening in Cementless Total Hip Arthroplasty.","authors":"Martin Aepli, Andreas Fischer, Hannes A Rüdiger, Michael Leunig, Andrea B Rosskopf, Anika Stephan, Vincent A Stadelmann, Christian W A Pfirrmann","doi":"10.1097/RLI.0000000000001256","DOIUrl":"https://doi.org/10.1097/RLI.0000000000001256","url":null,"abstract":"<p><strong>Background: </strong>Despite the increasing use of MARS (metal artifact reduction sequence) MRI to investigate painful total hip arthroplasties (THA), no validated criteria exist for diagnosing femoral stem loosening.</p><p><strong>Purpose: </strong>To evaluate MARS MRI for the diagnosis of aseptic stem loosening and determine its diagnostic accuracy.</p><p><strong>Materials and methods: </strong>One hundred fourteen consecutive cases with THA revision surgery and MARS MRI of the hip were retrospectively included. Two blinded musculoskeletal radiologists independently assessed periprosthetic bone resorption (PPBR), bone marrow edema (BME), periosteal reaction (PR), and periprosthetic osteolysis (PO) in 14 Gruen zones (GZ). Intraoperative findings at revision surgery served as the ground truth. A predictive model was created using binomial logistic regression models to predict the probability of a loose stem with maximizing positive predictive value (PPV) and accuracy. Interobserver reliability was assessed with absolute agreement, Cohen κ and Gwet AC1.</p><p><strong>Results: </strong>During surgery, 66 stems were fixed and 48 loose. PPBR occurred significantly more frequently in loose stems across all GZs except GZ11. Proximal PPBR was also observed in fixed stems (up to 23%), whereas middle and distal PPBR were rare (≤3%). BME was most prevalent proximally in all stems (fixed/loose: 39%/60%) with significant differences medially and distally. PR was significantly more frequent in loose stems in the middle and distal GZs. PO were rare, most occurred in GZ7. The predictive model considering proximal PPBR, mid-distal PPBR, mid-distal PR, and distal BME performed with a sensitivity of 0.708, specificity of 0.970, PPV 0.944, negative predictive value 0.821. Interobserver agreement (Gwet AC1) in the considered zones was for PPBR between 0.80 and 0.98, BME 0.91 to 0.99, PR 0.87 to 0.97.</p><p><strong>Conclusions: </strong>MARS MRI is reproducible and accurate for assessing stem loosening. PPBR, BME, and PR can also be found in fixed THA in the proximal region, whereas they indicate loosening in the middle and distal stem region.</p>","PeriodicalId":14486,"journal":{"name":"Investigative Radiology","volume":" ","pages":""},"PeriodicalIF":8.0,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145989074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}