Pub Date : 2026-02-01Epub Date: 2026-01-20DOI: 10.21037/qims-2025-1657
Bin Long, Yong Peng, Long Yin, Di Tian, Peng Deng, Hongfen Peng, Wei Zhang, Jiamin Kang
Background: Magnetic resonance cholangiopancreatography (MRCP) is a widely used noninvasive imaging technique for evaluating the pancreaticobiliary ductal system, but its image quality is often affected by respiratory motion and background signal. The purpose of this study was evaluating the performance of contrast-enhanced single breath-hold three-dimensional variable flip-angle fast spin-echo breath-hold MRCP (3D SPACE BH MRCP) in examining patients with suspected pancreaticobiliary disease, with a specific focus on the resulting image quality.
Methods: Forty patients prospectively underwent pre- and postcontrast (intravenous gadolinium) 3D SPACE BH MRCP during the portal venous and equilibrium phases. Quantitative analysis measured signal intensity [common bile duct (CBD), liver, and background], signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast ratio (CR). Two radiologists independently scored subjective image quality on a four-point scale. Statistical analyses included Wilcoxon signed-rank tests and kappa statistics.
Results: As compared to precontrast sequences, postcontrast sequences demonstrated significant reductions in liver signal (-12.77%; P<0.05) and background noise (-17.98%; P<0.05), with increased CR (+2.17%, P<0.05). CBD signal, SNR, and CNR showed no significant differences between precontrast and postcontrast sequences (P>0.05). Subjective scores indicated a preference for postcontrast images over precontrast ones (Z =-2.714; P=0.007). Interobserver agreement was excellent (precontrast: κ =0.76; postcontrast: κ =0.79; P<0.01).
Conclusions: Postcontrast 3D SPACE BH MRCP acquired during the venous phase enhances background suppression and overall image quality without compromising biliary duct visualization, potentially improving diagnostic accuracy for pancreaticobiliary pathologies.
背景:磁共振胆管造影(MRCP)是一种广泛应用于胰胆管系统评估的无创成像技术,但其图像质量经常受到呼吸运动和背景信号的影响。本研究的目的是评估对比增强单次屏气三维可变翻转角快速自旋回声屏气MRCP (3D SPACE BH MRCP)在检查疑似胰胆道疾病患者中的表现,并特别关注所产生的图像质量。方法:40例患者在门静脉和平衡期分别行造影前和造影后(静脉注射钆)3D SPACE BH MRCP。定量分析测量信号强度[总胆管(CBD)、肝脏、背景]、信噪比(SNR)、噪声对比比(CNR)、对比度(CR)。两名放射科医生以四分制为主观图像质量打分。统计分析包括Wilcoxon sign -rank检验和kappa统计。结果:与对比前相比,对比后肝脏信号明显降低(-12.77%;P0.05)。主观评分表明对比后的图像比对比前的图像更受欢迎(Z =-2.714; P=0.007)。结论:在静脉期获得的3D SPACE BH MRCP增强了背景抑制和整体图像质量,而不影响胆管的可视化,有可能提高胰胆道病变的诊断准确性。
{"title":"Postcontrast application of single breath-hold three-dimensional variable flip-angle fast spin-echo breath-hold magnetic resonance cholangiopancreatography for evaluating the pancreaticobiliary ductal system.","authors":"Bin Long, Yong Peng, Long Yin, Di Tian, Peng Deng, Hongfen Peng, Wei Zhang, Jiamin Kang","doi":"10.21037/qims-2025-1657","DOIUrl":"10.21037/qims-2025-1657","url":null,"abstract":"<p><strong>Background: </strong>Magnetic resonance cholangiopancreatography (MRCP) is a widely used noninvasive imaging technique for evaluating the pancreaticobiliary ductal system, but its image quality is often affected by respiratory motion and background signal. The purpose of this study was evaluating the performance of contrast-enhanced single breath-hold three-dimensional variable flip-angle fast spin-echo breath-hold MRCP (3D SPACE BH MRCP) in examining patients with suspected pancreaticobiliary disease, with a specific focus on the resulting image quality.</p><p><strong>Methods: </strong>Forty patients prospectively underwent pre- and postcontrast (intravenous gadolinium) 3D SPACE BH MRCP during the portal venous and equilibrium phases. Quantitative analysis measured signal intensity [common bile duct (CBD), liver, and background], signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast ratio (CR). Two radiologists independently scored subjective image quality on a four-point scale. Statistical analyses included Wilcoxon signed-rank tests and kappa statistics.</p><p><strong>Results: </strong>As compared to precontrast sequences, postcontrast sequences demonstrated significant reductions in liver signal (-12.77%; P<0.05) and background noise (-17.98%; P<0.05), with increased CR (+2.17%, P<0.05). CBD signal, SNR, and CNR showed no significant differences between precontrast and postcontrast sequences (P>0.05). Subjective scores indicated a preference for postcontrast images over precontrast ones (Z =-2.714; P=0.007). Interobserver agreement was excellent (precontrast: κ =0.76; postcontrast: κ =0.79; P<0.01).</p><p><strong>Conclusions: </strong>Postcontrast 3D SPACE BH MRCP acquired during the venous phase enhances background suppression and overall image quality without compromising biliary duct visualization, potentially improving diagnostic accuracy for pancreaticobiliary pathologies.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"132"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Insulin resistance (IR) elevates the risk of coronary artery disease (CAD). The triglyceride-glucose (TyG) index is a reliable substitute indicator for IR. Computed tomography-derived fractional flow reserve (CT-FFR) and coronary flow reserve (CFR) effectively assess coronary vascular function. This study aimed to investigate the relationship between the TyG index and coronary vascular function assessed by CT-FFR and CFR in suspected CAD patients.
Methods: We enrolled 293 patients who underwent single-photon emission computed tomography (SPECT) along with coronary computed tomography angiography (CCTA), and analyzed the relationships among the CT-FFR, myocardial blood flow (MBF), CFR, and the TyG index.
Results: Among the patients, those with a higher TyG index exhibited a relatively lower CT-FFR (0.80 vs. 0.85; P=0.02), rest-MBF (0.80 vs. 0.83; P=0.01), stress-MBF (1.92 vs. 2.26; P=0.01), and CFR (2.49 vs. 2.72; P=0.42). The TyG index was weakly and negatively correlated with the left ventricular (LV) CFR (r=-0.153; P=0.009). Among the patients without obstructive CAD, those with a high TyG index had a significantly lower CFR than those with a low TyG index (2.54 vs. 2.95; P=0.01), but no such significant difference was found in relation to the CT-FFR (0.91 vs. 0.93; P=0.72). Of the 879 vessels examined, 448 (51%) exhibited a reduced CFR. Compared with the vessels with a normal CFR, those with a decreased CFR exhibited a significantly increased obstructive CAD rate (40% vs. 29%; P<0.001), a lower CT-FFR (0.90 vs. 0.93; P<0.001), and a higher TyG index (8.81 vs. 8.67; P<0.001). In the vessels without obstructive CAD, the TyG index was higher in those with a reduced CFR compared with those with a normal CFR (8.80 vs. 8.59; P<0.001). The patient-level analysis revealed that male sex, the TyG index, obstructive CAD, and the CT-FFR were independently associated with the LV-CFR. The TyG index remained associated with the LV-CFR after adjustment for conventional risk factors. The TyG index remained independently associated with a reduced CFR in the patients without obstructive CAD.
Conclusions: The TyG index was independently associated with coronary vascular function, including both epicardial artery and microcirculatory function. The patients without obstructive CAD and those with a decreased CFR exhibited an increased TyG index, indicating a relationship between the TyG index and microcirculatory dysfunction. The TyG index, as a marker of metabolic health, was also related to microvascular injury. Our results provide insights into the association between the TyG index and coronary vascular function, which may inform clinical risk assessment.
{"title":"Relationship between the triglyceride-glucose index and coronary vascular function in patients with suspected coronary artery disease.","authors":"Mengyu Chen, Bing Liu, Xu Li, Xiaohao Zhang, Wei Zhou, Jianming Li, Dong Li, Lijuan Fan","doi":"10.21037/qims-2024-2795","DOIUrl":"10.21037/qims-2024-2795","url":null,"abstract":"<p><strong>Background: </strong>Insulin resistance (IR) elevates the risk of coronary artery disease (CAD). The triglyceride-glucose (TyG) index is a reliable substitute indicator for IR. Computed tomography-derived fractional flow reserve (CT-FFR) and coronary flow reserve (CFR) effectively assess coronary vascular function. This study aimed to investigate the relationship between the TyG index and coronary vascular function assessed by CT-FFR and CFR in suspected CAD patients.</p><p><strong>Methods: </strong>We enrolled 293 patients who underwent single-photon emission computed tomography (SPECT) along with coronary computed tomography angiography (CCTA), and analyzed the relationships among the CT-FFR, myocardial blood flow (MBF), CFR, and the TyG index.</p><p><strong>Results: </strong>Among the patients, those with a higher TyG index exhibited a relatively lower CT-FFR (0.80 <i>vs</i>. 0.85; P=0.02), rest-MBF (0.80 <i>vs</i>. 0.83; P=0.01), stress-MBF (1.92 <i>vs</i>. 2.26; P=0.01), and CFR (2.49 <i>vs</i>. 2.72; P=0.42). The TyG index was weakly and negatively correlated with the left ventricular (LV) CFR (r=-0.153; P=0.009). Among the patients without obstructive CAD, those with a high TyG index had a significantly lower CFR than those with a low TyG index (2.54 <i>vs</i>. 2.95; P=0.01), but no such significant difference was found in relation to the CT-FFR (0.91 <i>vs</i>. 0.93; P=0.72). Of the 879 vessels examined, 448 (51%) exhibited a reduced CFR. Compared with the vessels with a normal CFR, those with a decreased CFR exhibited a significantly increased obstructive CAD rate (40% <i>vs</i>. 29%; P<0.001), a lower CT-FFR (0.90 <i>vs</i>. 0.93; P<0.001), and a higher TyG index (8.81 <i>vs</i>. 8.67; P<0.001). In the vessels without obstructive CAD, the TyG index was higher in those with a reduced CFR compared with those with a normal CFR (8.80 <i>vs</i>. 8.59; P<0.001). The patient-level analysis revealed that male sex, the TyG index, obstructive CAD, and the CT-FFR were independently associated with the LV-CFR. The TyG index remained associated with the LV-CFR after adjustment for conventional risk factors. The TyG index remained independently associated with a reduced CFR in the patients without obstructive CAD.</p><p><strong>Conclusions: </strong>The TyG index was independently associated with coronary vascular function, including both epicardial artery and microcirculatory function. The patients without obstructive CAD and those with a decreased CFR exhibited an increased TyG index, indicating a relationship between the TyG index and microcirculatory dysfunction. The TyG index, as a marker of metabolic health, was also related to microvascular injury. Our results provide insights into the association between the TyG index and coronary vascular function, which may inform clinical risk assessment.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"131"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883441/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-22DOI: 10.21037/qims-2025-758
Hao-Yang Bei, Zhong-Jie Kang, Ming Zhong, Chun-Fu Liu, Ke-Liang Yan, Xiao-Yu Tan, Yuan Dan, Jia-Yuan Wu, Yong-Guang Yang
Background: Microvascular invasion (MVI) is an independent risk factor for postoperative recurrence in hepatocellular carcinoma (HCC), making preoperative prediction clinically critical. This study aimed to identify factors associated with MVI and develop a clinically applicable predictive model using patient-derived variables, including serological markers, tumor morphology, and magnetic resonance imaging (MRI) features.
Methods: A retrospective analysis was conducted on 236 patients with HCC who underwent surgical resection between January 1, 2019, and December 31, 2022, at the Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Guangdong Medical University. Patients were randomly assigned to training and validation cohorts at a 1:1 ratio. Significant factors identified through univariate analysis with P values adjusted via the Benjamini-Hochberg method (adjusted P<0.05) were subjected to binary logistic regression to determine the independent risk factors for MVI in HCC. These factors were used to develop a nomogram for MVI prediction, with its diagnostic performance assessed through receiver operating characteristic (ROC) curves. Additionally, k-fold cross-validation (k=5) was performed to evaluate model stability.
Results: There were 236 patients included, with 118 in each cohort. Logistic regression identified four independent risk factors for MVI: arterial phase edge enhancement [odds ratio (OR) =4.610, P=0.011], incomplete tumor capsule (OR =4.513, P=0.013), alpha-fetoprotein (AFP) >800 ng/mL (OR =3.407, P=0.035), and intratumoral vascular enhancement (OR =6.300, P=0.022). In the training cohort, the area under the curve (AUC), sensitivity, specificity and Youden index (YI) of the nomogram were 0.871 (P<0.001), 78.8%, 80.0% and 0.645, respectively; while in the validation cohort, they were 0.878 (P<0.001), 83.9%, 86.2% and 0.689, respectively, with both cohorts' AUC results consistent with the average AUC of 0.860 from k-fold cross-validation. Decision curve analysis and calibration curve results confirmed high model accuracy and clinical benefit.
Conclusions: AFP >800 ng/mL, intratumoral vascular enhancement, arterial phase enhancement, and incomplete tumor capsule are independent risk factors for MVI in HCC. Combining serological, morphological, and MRI characteristics offers robust utility and accuracy in predicting MVI in HCC.
{"title":"Combined hematology, tumor morphology, and magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: a clinical study.","authors":"Hao-Yang Bei, Zhong-Jie Kang, Ming Zhong, Chun-Fu Liu, Ke-Liang Yan, Xiao-Yu Tan, Yuan Dan, Jia-Yuan Wu, Yong-Guang Yang","doi":"10.21037/qims-2025-758","DOIUrl":"10.21037/qims-2025-758","url":null,"abstract":"<p><strong>Background: </strong>Microvascular invasion (MVI) is an independent risk factor for postoperative recurrence in hepatocellular carcinoma (HCC), making preoperative prediction clinically critical. This study aimed to identify factors associated with MVI and develop a clinically applicable predictive model using patient-derived variables, including serological markers, tumor morphology, and magnetic resonance imaging (MRI) features.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 236 patients with HCC who underwent surgical resection between January 1, 2019, and December 31, 2022, at the Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Guangdong Medical University. Patients were randomly assigned to training and validation cohorts at a 1:1 ratio. Significant factors identified through univariate analysis with P values adjusted via the Benjamini-Hochberg method (adjusted P<0.05) were subjected to binary logistic regression to determine the independent risk factors for MVI in HCC. These factors were used to develop a nomogram for MVI prediction, with its diagnostic performance assessed through receiver operating characteristic (ROC) curves. Additionally, k-fold cross-validation (k=5) was performed to evaluate model stability.</p><p><strong>Results: </strong>There were 236 patients included, with 118 in each cohort. Logistic regression identified four independent risk factors for MVI: arterial phase edge enhancement [odds ratio (OR) =4.610, P=0.011], incomplete tumor capsule (OR =4.513, P=0.013), alpha-fetoprotein (AFP) >800 ng/mL (OR =3.407, P=0.035), and intratumoral vascular enhancement (OR =6.300, P=0.022). In the training cohort, the area under the curve (AUC), sensitivity, specificity and Youden index (YI) of the nomogram were 0.871 (P<0.001), 78.8%, 80.0% and 0.645, respectively; while in the validation cohort, they were 0.878 (P<0.001), 83.9%, 86.2% and 0.689, respectively, with both cohorts' AUC results consistent with the average AUC of 0.860 from k-fold cross-validation. Decision curve analysis and calibration curve results confirmed high model accuracy and clinical benefit.</p><p><strong>Conclusions: </strong>AFP >800 ng/mL, intratumoral vascular enhancement, arterial phase enhancement, and incomplete tumor capsule are independent risk factors for MVI in HCC. Combining serological, morphological, and MRI characteristics offers robust utility and accuracy in predicting MVI in HCC.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"144"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883496/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-22DOI: 10.21037/qims-20252-03
[This corrects the article DOI: 10.21037/qims-2024-2962.].
[这更正了文章DOI: 10.21037/qims-2024-2962。]
{"title":"Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy.","authors":"","doi":"10.21037/qims-20252-03","DOIUrl":"10.21037/qims-20252-03","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.21037/qims-2024-2962.].</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"196"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883589/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-23DOI: 10.21037/qims-2025-243
Yana Cosendey Toledo Mello Peixoto, Eloá Cristina Passucci Ambrosio, Paula Karine Jorge, Simone Soares, Cleide Felício Carvalho Carrara, Chiarella Sforza, Márcio de Menezes, Maria Aparecida Andrade Moreira Machado, Thais Marchini Oliveira
Background: Facial anthropometric analysis is a valuable tool for assessing growth and development in children. It allows for continuous patient monitoring, facilitates the identification of morphological variations and asymmetries, supports diagnostic processes, contributes to the planning and predictability of therapeutic interventions, and aids in evaluating treatment outcomes. This study aimed to evaluate Vectra H2® stereophotogrammetry system for facial anthropometry analysis in children.
Methods: Thirty participants were selected, ranging from 5 to 12 years old. Prior to the acquisition of facial images, nineteen anatomical landmarks were marked with a black eyeliner pen on the participants' faces, so that 14 linear measurements could be quantified. The three-dimensional (3D) image of the facial surface was captured using the stereophotogrammetry equipment. First, linear measurements were quantified directly on the participant's face using a digital caliper. In the second phase of the anthropometric analysis, the same linear measurements were taken on the 3D image using stereophotogrammetry system software. Intraclass correlation coefficient (ICC) test was applied to evaluate intra- and inter-examiner errors. For data analysis, Pearson's and Spearman's correlation coefficient tests were applied. The mean absolute difference (MAD) was used to describe the differences. Data were presented as mean/standard deviation and median/interquartile deviation.
Results: All 14 facial measurements showed statistically significant difference (P<0.05). The measurements Tr-G, G-Pn, G-Sn, Ene-Che, and End-Chd demonstrated very strong correlation (r values between 0.9485 and 0.9026), while Ald-Ale, Exe-Che, Sn-Ls, Sn-Pg, Ls-Li, Exd-Chd, and Chd-Che measurements exhibited strong correlation (r values between 0.8821 and 0.7094). Acd-Ace and Cphe-Cphd measurements showed moderate correlation (r=0.5790 and r=0.6982). The measurements Sn-Ls and Ene-Che presented a lower MAD value (0.53), and the measurements Ald-Ale showed the highest value (5.38).
Conclusions: Vectra H2® facial stereophotogrammetry system proved to be a validated and reliable method for facial anthropometry analysis in children.
{"title":"Vectra H2<sup>®</sup> stereophotogrammetry system evaluation for 3D facial analysis in children.","authors":"Yana Cosendey Toledo Mello Peixoto, Eloá Cristina Passucci Ambrosio, Paula Karine Jorge, Simone Soares, Cleide Felício Carvalho Carrara, Chiarella Sforza, Márcio de Menezes, Maria Aparecida Andrade Moreira Machado, Thais Marchini Oliveira","doi":"10.21037/qims-2025-243","DOIUrl":"10.21037/qims-2025-243","url":null,"abstract":"<p><strong>Background: </strong>Facial anthropometric analysis is a valuable tool for assessing growth and development in children. It allows for continuous patient monitoring, facilitates the identification of morphological variations and asymmetries, supports diagnostic processes, contributes to the planning and predictability of therapeutic interventions, and aids in evaluating treatment outcomes. This study aimed to evaluate Vectra H2<sup>®</sup> stereophotogrammetry system for facial anthropometry analysis in children.</p><p><strong>Methods: </strong>Thirty participants were selected, ranging from 5 to 12 years old. Prior to the acquisition of facial images, nineteen anatomical landmarks were marked with a black eyeliner pen on the participants' faces, so that 14 linear measurements could be quantified. The three-dimensional (3D) image of the facial surface was captured using the stereophotogrammetry equipment. First, linear measurements were quantified directly on the participant's face using a digital caliper. In the second phase of the anthropometric analysis, the same linear measurements were taken on the 3D image using stereophotogrammetry system software. Intraclass correlation coefficient (ICC) test was applied to evaluate intra- and inter-examiner errors. For data analysis, Pearson's and Spearman's correlation coefficient tests were applied. The mean absolute difference (MAD) was used to describe the differences. Data were presented as mean/standard deviation and median/interquartile deviation.</p><p><strong>Results: </strong>All 14 facial measurements showed statistically significant difference (P<0.05). The measurements Tr-G, G-Pn, G-Sn, Ene-Che, and End-Chd demonstrated very strong correlation (r values between 0.9485 and 0.9026), while Ald-Ale, Exe-Che, Sn-Ls, Sn-Pg, Ls-Li, Exd-Chd, and Chd-Che measurements exhibited strong correlation (r values between 0.8821 and 0.7094). Acd-Ace and Cphe-Cphd measurements showed moderate correlation (r=0.5790 and r=0.6982). The measurements Sn-Ls and Ene-Che presented a lower MAD value (0.53), and the measurements Ald-Ale showed the highest value (5.38).</p><p><strong>Conclusions: </strong>Vectra H2<sup>®</sup> facial stereophotogrammetry system proved to be a validated and reliable method for facial anthropometry analysis in children.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"124"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-14DOI: 10.21037/qims-2025-779
Jiong Wu, Rong Zou, Yixin Bai, Yumeng Hu, Jianping Xiang, Shu Wan
Background: The value of hemodynamics in intracranial atherosclerotic stenosis (ICAS) patients has not been fully studied. The purpose of this study was to analyze the correlation between fractional flow (FF) and hypoperfusion in patients with ICAS of the anterior circulation, and compare the performance differences between FF and diameter stenosis (DS) in distinguishing hypoperfusion.
Methods: This study included patients with anterior circulation artery stenosis. The determination of cerebral perfusion stages and the calculation of perfusion parameters were based on the magnetic resonance imaging (MRI) perfusion images. The patients were divided into a normal perfusion group and a hypoperfusion group (stages I and II). DS and FF values were calculated on the basis of digital subtraction angiography images.
Results: We analyzed 58 patients. FF was negatively correlated with relative time to peak (r=-0.41, P=0.002) and relative mean transit time (r=-0.27, P=0.037). In groups with a larger time to maximum tissue residue function, FF had a lower distribution interval. FF was significantly different between normal perfusion patients and hypoperfusion patients (0.71±0.17 vs. 0.52±0.18, P<0.05), while DS was not (0.66±0.17 vs. 0.54±0.13, P=0.087). Multivariate analysis indicated FF (odds ratio, 0.08; 95% confidence interval: 0.01-0.80) was the only independent factor. Receiver operating characteristic analysis revealed the area under the curve for differentiating hypoperfusion from normal perfusion. The areas under the curve were 0.739 (0.597-0.850) for DS and 0.772 (0.632-0.876) for FF. The accuracy, sensitivity and specificity at the optimal cutoff (FF=0.61) were 76.6% (58.8-92.1%), 76.4% (56.5-93.3%) and 78.7% (58.3-95.8%), respectively.
Conclusions: There is a correlation between MRI perfusion and FF in patients with anterior circulation ICAS. A low FF may indicate a higher time to maximum tissue residue function and a poorer hypoperfusion stage. FF provides hemodynamic information that is distinct from and complementary to the anatomical assessment of DS. The ability to compute FF intraoperatively could, in the future, provide real-time feedback on physiological improvement following revascularization.
{"title":"Correlation between fractional flow and magnetic resonance perfusion in patients with intracranial artery stenosis in the anterior circulation.","authors":"Jiong Wu, Rong Zou, Yixin Bai, Yumeng Hu, Jianping Xiang, Shu Wan","doi":"10.21037/qims-2025-779","DOIUrl":"10.21037/qims-2025-779","url":null,"abstract":"<p><strong>Background: </strong>The value of hemodynamics in intracranial atherosclerotic stenosis (ICAS) patients has not been fully studied. The purpose of this study was to analyze the correlation between fractional flow (FF) and hypoperfusion in patients with ICAS of the anterior circulation, and compare the performance differences between FF and diameter stenosis (DS) in distinguishing hypoperfusion.</p><p><strong>Methods: </strong>This study included patients with anterior circulation artery stenosis. The determination of cerebral perfusion stages and the calculation of perfusion parameters were based on the magnetic resonance imaging (MRI) perfusion images. The patients were divided into a normal perfusion group and a hypoperfusion group (stages I and II). DS and FF values were calculated on the basis of digital subtraction angiography images.</p><p><strong>Results: </strong>We analyzed 58 patients. FF was negatively correlated with relative time to peak (r=-0.41, P=0.002) and relative mean transit time (r=-0.27, P=0.037). In groups with a larger time to maximum tissue residue function, FF had a lower distribution interval. FF was significantly different between normal perfusion patients and hypoperfusion patients (0.71±0.17 <i>vs</i>. 0.52±0.18, P<0.05), while DS was not (0.66±0.17 <i>vs</i>. 0.54±0.13, P=0.087). Multivariate analysis indicated FF (odds ratio, 0.08; 95% confidence interval: 0.01-0.80) was the only independent factor. Receiver operating characteristic analysis revealed the area under the curve for differentiating hypoperfusion from normal perfusion. The areas under the curve were 0.739 (0.597-0.850) for DS and 0.772 (0.632-0.876) for FF. The accuracy, sensitivity and specificity at the optimal cutoff (FF=0.61) were 76.6% (58.8-92.1%), 76.4% (56.5-93.3%) and 78.7% (58.3-95.8%), respectively.</p><p><strong>Conclusions: </strong>There is a correlation between MRI perfusion and FF in patients with anterior circulation ICAS. A low FF may indicate a higher time to maximum tissue residue function and a poorer hypoperfusion stage. FF provides hemodynamic information that is distinct from and complementary to the anatomical assessment of DS. The ability to compute FF intraoperatively could, in the future, provide real-time feedback on physiological improvement following revascularization.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"178"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883506/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-21DOI: 10.21037/qims-2025-aw-2171
Josef Finsterer
{"title":"Multidimensional MRI is only one piece of the puzzle in the diagnosis of stroke-like episodes in MELAS.","authors":"Josef Finsterer","doi":"10.21037/qims-2025-aw-2171","DOIUrl":"10.21037/qims-2025-aw-2171","url":null,"abstract":"","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"182"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-22DOI: 10.21037/qims-24-2242
Peijian Wei, Yihang Li, Xinmu Li, Wenhao Zhu, Liang Xu, Junyi Wan, Fengwen Zhang, Gary Tse, Jeffrey Shi Kai Chan, Shouzheng Wang, Wenbin Ouyang, Fang Fang, Gejun Zhang, Xiangbin Pan
Background: With the increasing use of coronary computed tomography angiography (CCTA), isolated coronary artery fistulas (ICAFs) are increasingly identified during routine or non-targeted imaging, but the large-scale epidemiological and anatomical data remain limited. This study aims to explore the prevalence, anatomical features, and clinical manifestations of ICAFs in adults who underwent CCTA.
Methods: A retrospective analysis was performed on 378,556 consecutive adult patients who underwent CCTA at Fuwai Hospital between 2010 and 2022. Two experienced radiologists independently reviewed CCTA images to confirm the presence of ICAFs and assess their anatomical features, including origin, drainage site, and size. Demographic, clinical, and procedural data were analyzed to evaluate associations with symptoms and treatment strategies.
Results: A total of 252 adult patients with ICAFs were identified, yielding a prevalence of 0.07%. The mean age was 48.29±15.03 years, and 47.20% were male. The majority originated from the anterior descending artery (30.56%) and drained into the pulmonary artery (62.3%). The mean diameter of the fistula was 7.30±5.19 mm with 32.54% categorized as with large ICAFs. Symptomatic ICAFs patients were younger than asymptomatic patients (43.81±14.18 vs. 52.05±14.73 years, P=0.016). The average diameter of the draining site was larger in symptomatic ICAFs group (7.95 vs. 5.85 mm, P=0.033). Among the whole cohort, 70 patients underwent transcatheter closure and 28 patients underwent surgical closure, with no significant differences in baseline characteristics. The clinical efficacy was similar between both groups, however, transcatheter closure was infeasible in 15.71% of the attempted cases. Most untreated ICAFs patients maintained their physical activity levels and barely underwent follow-up assessments.
Conclusions: The prevalence of ICAFs was 0.07% among adult population who underwent CCTA. Large-sized ICAFs was the anatomical features significantly associated with clinical symptoms.
背景:随着冠状动脉计算机断层血管造影(CCTA)应用的增加,孤立性冠状动脉瘘(ICAFs)越来越多地在常规或非靶向成像中被发现,但大规模的流行病学和解剖学数据仍然有限。本研究旨在探讨成人行CCTA后icaf的患病率、解剖特征和临床表现。方法:对2010 - 2022年阜外医院连续行CCTA的378,556例成人患者进行回顾性分析。两名经验丰富的放射科医生独立检查了CCTA图像,以确认icaf的存在并评估其解剖学特征,包括起源、引流部位和大小。对人口学、临床和手术数据进行分析,以评估与症状和治疗策略的关系。结果:共发现252例成人icaf患者,患病率为0.07%。平均年龄48.29±15.03岁,男性占47.20%。大多数起源于前降支(30.56%),流入肺动脉(62.3%)。瘘道平均直径为7.30±5.19 mm,其中32.54%为大瘘道。有症状icaf患者比无症状icaf患者年轻(43.81±14.18∶52.05±14.73岁,P=0.016)。症状性ICAFs组引流部位平均直径较大(7.95 vs 5.85 mm, P=0.033)。在整个队列中,70例患者接受了经导管闭合,28例患者接受了手术闭合,基线特征无显著差异。两组患者的临床疗效相似,但15.71%的患者经导管关闭失败。大多数未经治疗的ICAFs患者维持其身体活动水平,几乎没有进行随访评估。结论:在接受CCTA的成人人群中,ICAFs患病率为0.07%。大尺寸icaf是与临床症状显著相关的解剖特征。
{"title":"Prevalence, management, and prognosis of isolated coronary artery fistulas: a 12-year single-center retrospective computed tomographic study.","authors":"Peijian Wei, Yihang Li, Xinmu Li, Wenhao Zhu, Liang Xu, Junyi Wan, Fengwen Zhang, Gary Tse, Jeffrey Shi Kai Chan, Shouzheng Wang, Wenbin Ouyang, Fang Fang, Gejun Zhang, Xiangbin Pan","doi":"10.21037/qims-24-2242","DOIUrl":"10.21037/qims-24-2242","url":null,"abstract":"<p><strong>Background: </strong>With the increasing use of coronary computed tomography angiography (CCTA), isolated coronary artery fistulas (ICAFs) are increasingly identified during routine or non-targeted imaging, but the large-scale epidemiological and anatomical data remain limited. This study aims to explore the prevalence, anatomical features, and clinical manifestations of ICAFs in adults who underwent CCTA.</p><p><strong>Methods: </strong>A retrospective analysis was performed on 378,556 consecutive adult patients who underwent CCTA at Fuwai Hospital between 2010 and 2022. Two experienced radiologists independently reviewed CCTA images to confirm the presence of ICAFs and assess their anatomical features, including origin, drainage site, and size. Demographic, clinical, and procedural data were analyzed to evaluate associations with symptoms and treatment strategies.</p><p><strong>Results: </strong>A total of 252 adult patients with ICAFs were identified, yielding a prevalence of 0.07%. The mean age was 48.29±15.03 years, and 47.20% were male. The majority originated from the anterior descending artery (30.56%) and drained into the pulmonary artery (62.3%). The mean diameter of the fistula was 7.30±5.19 mm with 32.54% categorized as with large ICAFs. Symptomatic ICAFs patients were younger than asymptomatic patients (43.81±14.18 <i>vs.</i> 52.05±14.73 years, P=0.016). The average diameter of the draining site was larger in symptomatic ICAFs group (7.95 <i>vs.</i> 5.85 mm, P=0.033). Among the whole cohort, 70 patients underwent transcatheter closure and 28 patients underwent surgical closure, with no significant differences in baseline characteristics. The clinical efficacy was similar between both groups, however, transcatheter closure was infeasible in 15.71% of the attempted cases. Most untreated ICAFs patients maintained their physical activity levels and barely underwent follow-up assessments.</p><p><strong>Conclusions: </strong>The prevalence of ICAFs was 0.07% among adult population who underwent CCTA. Large-sized ICAFs was the anatomical features significantly associated with clinical symptoms.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"174"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883524/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-09DOI: 10.21037/qims-2025-1937
Yuyue Hou, Yan Zhou, Ruolin Wu, Min Cui, Xiaotian Xia
{"title":"Single photon emission computed tomography/computed tomography clue to pulmonary metastasis in osteosarcoma: a diagnostic pitfall of technetium-99m methylene diphosphonate uptake.","authors":"Yuyue Hou, Yan Zhou, Ruolin Wu, Min Cui, Xiaotian Xia","doi":"10.21037/qims-2025-1937","DOIUrl":"10.21037/qims-2025-1937","url":null,"abstract":"","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"191"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883490/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-23DOI: 10.21037/qims-2025-1650
Samuel B Ogunlade, Lian Wang, Santo Maimone, Kristin A Robinson, Kaitlin M Moran, Amie Leon, Andrey P Morozov, Chidi T Nwachukwu, Haley P Letter
<p><strong>Background: </strong>Image-based artificial intelligence (AI) risk models can estimate short-term breast cancer risk directly from mammograms and may outperform traditional questionnaire-based tools. However, risk stratification remains particularly challenging in women with dense breasts who do not otherwise meet high-risk criteria. At our institutions, molecular breast imaging (MBI) is used as supplemental screening for this population. This study evaluated the performance and clinical utility of a mammography-based AI risk model (iCAD ProFound AI<sup>®</sup> Risk) in predicting short-term breast cancer risk among women with dense breasts undergoing MBI.</p><p><strong>Methods: </strong>This retrospective IRB-approved study included 416 non-actionable (BI-RADS category 1 or 2) screening digital breast tomosynthesis mammograms (BI-RADS C-D density) obtained from 2018 to 2023, all followed by MBI within one year. The cohort comprised 70 cancer cases (16.8%) and 346 (83.2%) non-cancer controls. Mammograms were retrospectively processed using the ProFound AI<sup>®</sup> Risk model to generate 1-year risk and density scores. Tyrer-Cuzick and Gail model scores were computed for comparison. Group differences were assessed using <i>t</i>-tests and effect sizes, and model discrimination was evaluated with ROC analysis using area under the curve (AUC), sensitivity, specificity, and 95% confidence intervals (CIs).</p><p><strong>Results: </strong>Across the full cohort, mean AI risk scores were higher in cancer cases than controls (0.41±0.35 <i>vs.</i> 0.37±0.21), although this difference was not statistically significant (P=0.239; Cohen's <i>d</i>=0.23). Subgroup analyses demonstrated progressively stronger discriminatory performance with increasing breast density. The greatest separation was observed in women with extremely dense breasts (category D), where the AI model achieved an AUC of 0.75 (95% CI: 0.61-0.89; P=0.049), with 69.3% sensitivity and 61.1% specificity at a threshold of 0.14. Effect size in this group was the largest (<i>d</i>=0.41). In contrast, traditional models showed limited and non-significant discrimination across all density categories, with AUC values ranging from 0.54 to 0.63. When stratified by cancer subtype, the AI model produced significantly higher risk scores in invasive lobular carcinoma (ILC) compared with controls (0.69±0.46 <i>vs.</i> 0.41±0.32; P=0.048; <i>d</i>=0.56). Although differences in ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) were not significant, risk scores trended higher for cancer cases. A similar pattern of increasing AI-estimated risk was observed with higher tumor grade, with the strongest separation seen in grade 2 cancers (P=0.089).</p><p><strong>Conclusions: </strong>Although overall differences between cancer and non-cancer groups were not statistically significant, the mammography-based AI risk model demonstrated meaningful and statistically significant discrimina
{"title":"Mammogram-based AI risk assessment in patients with dense breasts undergoing supplemental molecular breast imaging.","authors":"Samuel B Ogunlade, Lian Wang, Santo Maimone, Kristin A Robinson, Kaitlin M Moran, Amie Leon, Andrey P Morozov, Chidi T Nwachukwu, Haley P Letter","doi":"10.21037/qims-2025-1650","DOIUrl":"10.21037/qims-2025-1650","url":null,"abstract":"<p><strong>Background: </strong>Image-based artificial intelligence (AI) risk models can estimate short-term breast cancer risk directly from mammograms and may outperform traditional questionnaire-based tools. However, risk stratification remains particularly challenging in women with dense breasts who do not otherwise meet high-risk criteria. At our institutions, molecular breast imaging (MBI) is used as supplemental screening for this population. This study evaluated the performance and clinical utility of a mammography-based AI risk model (iCAD ProFound AI<sup>®</sup> Risk) in predicting short-term breast cancer risk among women with dense breasts undergoing MBI.</p><p><strong>Methods: </strong>This retrospective IRB-approved study included 416 non-actionable (BI-RADS category 1 or 2) screening digital breast tomosynthesis mammograms (BI-RADS C-D density) obtained from 2018 to 2023, all followed by MBI within one year. The cohort comprised 70 cancer cases (16.8%) and 346 (83.2%) non-cancer controls. Mammograms were retrospectively processed using the ProFound AI<sup>®</sup> Risk model to generate 1-year risk and density scores. Tyrer-Cuzick and Gail model scores were computed for comparison. Group differences were assessed using <i>t</i>-tests and effect sizes, and model discrimination was evaluated with ROC analysis using area under the curve (AUC), sensitivity, specificity, and 95% confidence intervals (CIs).</p><p><strong>Results: </strong>Across the full cohort, mean AI risk scores were higher in cancer cases than controls (0.41±0.35 <i>vs.</i> 0.37±0.21), although this difference was not statistically significant (P=0.239; Cohen's <i>d</i>=0.23). Subgroup analyses demonstrated progressively stronger discriminatory performance with increasing breast density. The greatest separation was observed in women with extremely dense breasts (category D), where the AI model achieved an AUC of 0.75 (95% CI: 0.61-0.89; P=0.049), with 69.3% sensitivity and 61.1% specificity at a threshold of 0.14. Effect size in this group was the largest (<i>d</i>=0.41). In contrast, traditional models showed limited and non-significant discrimination across all density categories, with AUC values ranging from 0.54 to 0.63. When stratified by cancer subtype, the AI model produced significantly higher risk scores in invasive lobular carcinoma (ILC) compared with controls (0.69±0.46 <i>vs.</i> 0.41±0.32; P=0.048; <i>d</i>=0.56). Although differences in ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) were not significant, risk scores trended higher for cancer cases. A similar pattern of increasing AI-estimated risk was observed with higher tumor grade, with the strongest separation seen in grade 2 cancers (P=0.089).</p><p><strong>Conclusions: </strong>Although overall differences between cancer and non-cancer groups were not statistically significant, the mammography-based AI risk model demonstrated meaningful and statistically significant discrimina","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"16 2","pages":"123"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12883439/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146159264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}