European Journal of Radiology最新文献

{"title":"Computed tomography-based absolute delta radiomics nomogram for predicting perineural invasion in hypopharyngeal squamous cell carcinoma","authors":"Jinyan Li ,&nbsp;Nan Jiang ,&nbsp;Juntao Zhang ,&nbsp;Wenyue Sun ,&nbsp;Zhan Wang ,&nbsp;Lixin Sun ,&nbsp;Ximing Wang","doi":"10.1016/j.ejrad.2024.111912","DOIUrl":"10.1016/j.ejrad.2024.111912","url":null,"abstract":"<div><h3>Objective</h3><div>To assess the efficacy of computed tomography (CT)-based radiomics nomogram in predicting perineural invasion (PNI) in patients with hypopharyngeal squamous cell carcinoma (HPSCC).</div></div><div><h3>Materials and Methods</h3><div>Overall, 146 patients were retrospectively recruited and divided into training and test cohorts at a 7:3 ratio. Radiomics features were extracted and delta and absolute delta radiomics features were calculated. Feature selection was performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator methods. Preliminary models were built using logistic regression, and the optimal one was selected as the radiomics signature. A nomogram was constructed by combining independent clinical factors and the radiomics signature. Its performance was evaluated using the area under the curve (AUC) values of receiver operating characteristic curves, decision curve analysis (DCA), and calibration curves.</div></div><div><h3>Results</h3><div>The radiomics signature comprised 14 absolute delta radiomics features. The nomogram, incorporating tumor thickness and radiomics signature, outperformed the other models (AUC = 0.79 and 0.78, training and test cohorts, respectively). The Delong test demonstrated that the nomogram’s predictive performance was significantly higher than that of the clinical model (p &lt; 0.05) in both cohorts. Calibration curves indicated good calibration, and the Hosmer–Lemeshow test confirmed a good fit (p = 0.969 and 0.429, training and test cohorts, respectively). DCA highlighted the nomogram’s considerable clinical usefulness.</div></div><div><h3>Conclusion</h3><div>The CT-based absolute delta radiomics nomogram can noninvasively and preoperatively predict PNI status in patients with HPSCC, providing a valuable tool for clinical decision making and individualized treatment plans.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111912"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solitary necrotic nodule of the liver: imaging features, differential diagnosis and management","authors":"Luigi Asmundo ,&nbsp;Luca Giaccardi ,&nbsp;Alberto Soro ,&nbsp;Rodolfo Lanocita ,&nbsp;Ciriaco Buonomenna ,&nbsp;Raffaella Vigorito ,&nbsp;Giuseppe Leoncini ,&nbsp;Vincenzo Mazzaferro ,&nbsp;Marta Vaiani","doi":"10.1016/j.ejrad.2024.111869","DOIUrl":"10.1016/j.ejrad.2024.111869","url":null,"abstract":"<div><div>Solitary necrotic nodule of the liver (SNNL) is a rare and benign liver lesion often discovered incidentally. Despite its occurrence, the exact cause of SNNL remains unknown, with various theories proposing traumatic, infectious, degenerative or transformative origins. The variable imaging characteristics of SNNLs frequently lead to misdiagnosis as malignant tumors, prompting patients to undergo unnecessary and high-risk procedures such as biopsies and surgeries. Moreover, biopsies often yield inconclusive results due to the presence of necrotic tissue within the lesion, posing challenges for accurate histologic diagnosis. This review aims to offer guidance on differentiating SNNLs from other liver lesions using multimodality imaging approaches. It will analyze essential imaging steps that should be performed and highlight those that should be avoided to enhance diagnostic accuracy and prevent unnecessary interventions.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111869"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142794610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Endovascular recanalization of subacute or chronic symptomatic occlusion of the internal carotid artery ophthalmic segment","authors":"Ling-Xiao Feng,&nbsp;Huili Gao,&nbsp;Jinlong Zhang,&nbsp;Jianjun Gu,&nbsp;Yongfeng Wang,&nbsp;Tianxiao Li,&nbsp;Bulang Gao","doi":"10.1016/j.ejrad.2024.111885","DOIUrl":"10.1016/j.ejrad.2024.111885","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the safety and effect of endovascular recanalization for subacute or chronic occlusion of the internal carotid artery (ICA) ophthalmic segment and risk factors for the prognosis.</div></div><div><h3>Materials and methods</h3><div>135 patients with subacute or chronic occlusion of the ICA ophthalmic segment were retrospectively enrolled to undergo endovascular recanalization, with the clinical, imaging and follow-up data being analyzed.</div></div><div><h3>Results</h3><div>Among 135 patients with ICA ophthalmic segment occlusion, hypertension was presented in 72 (53.3 %) patients, diabetes mellitus in 44 (32.6 %), coronary heart disease in 12 (8.9 %), smoking in 51 (37.8 %), and alcohol abuse in 38 (28.1 %). Endovascular recanalization was performed in all patients, and recanalization was successful in 130 (96.3 %). Five patients (3.7 %) were not recanalized because of intraprocedural complications. Periprocedural complications occurred in 16 patients, resulting in a total complication rate of 11.9 %. The mRS (modified Rankin Scale score) was 1.45 ± 0.03 after recanalization, significantly (P &lt; 0.001) better than that (2.25 ± 0.12) before recanalization. The NIHSS (National Institute of Health Stroke Scale) was 11.91 ± 0.67, significantly (P &lt; 0.0001) better than that (18.45 ± 1.33) before recanalization. Eighty-nine (65.9 %) patients underwent angiography at follow-up 6–86 (mean 48) months after recanalization, which demonstrated good prognosis in 72 (80.9 %) patients and poor prognosis in the other 17 (19.1 %) with instent restenosis &gt; 50 %. Telephone follow-up was conducted in 46 (34.1 %) patients 6–38 (mean 27) months after recanalization, which revealed good prognosis in 38 (82.6 %) patients and poor prognosis in 8 (17.4 %). In total, good prognosis was present in 110 (81.5 %) patients while poor prognosis in 25 (18.5 %). In angiographic follow-up, instent restenosis &gt; 50 % was present in nine (10.1 %) patients. Univariate analysis showed age (OR = 1.82), hypertension (OR = 2.38), diabetes mellitus (OR = 1.84), and alcohol abuse (OR = 1.49) were significant (P &lt; 0.05) risk factors, whereas multivariate analysis demonstrated that only hypertension (OR = 1.54) and diabetes mellitus (OR = 2.67) were significant (P &lt; 0.05) independent risk factors to affect the prognosis of recanalization.</div></div><div><h3>Conclusion</h3><div>Subacute or chronic occlusion of the internal carotid artery ophthalmic segment can be safely and efficiently recanalized using endovascular skills, and hypertension and diabetes mellitus are the independent risk factors for the prognosis of endovascular recanalization.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111885"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142846224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic performance of dual-energy computed tomography (DECT) quantitative parameters for detecting metastatic cervical lymph nodes in patients with papillary thyroid cancer: A systematic review and meta-analysis","authors":"Luyao Zhang ,&nbsp;Yize Li ,&nbsp;Ziqi Chen ,&nbsp;Xinpeng Dai ,&nbsp;Huimin Gao ,&nbsp;Yingmin Chen","doi":"10.1016/j.ejrad.2025.111917","DOIUrl":"10.1016/j.ejrad.2025.111917","url":null,"abstract":"<div><h3>Purpose</h3><div>This study systematically evaluated the diagnostic performance of dual-energy computed tomography (DECT) quantitative parameters in detecting cervical lymph node metastasis in patients with papillary thyroid cancer (PTC).</div></div><div><h3>Method</h3><div>We searched PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data databases for relevant original studies from database inception to March 2024. The quality of the included studies was evaluated using the QUADAS-2 tool. A bivariate random-effects model was used to calculate the pooled sensitivity and specificity of DECT. The threshold effect was determined by calculating Spearman correlation coefficients, <em>meta</em>-regression and subgroup analysis were performed to evaluate the sources of variability. Publication bias was assessed using the asymmetry of Deek’s funnel plot.</div></div><div><h3>Results</h3><div>Thirteen studies involving 951 patients (2,782 lymph nodes) were included in this <em>meta</em>-analysis. We analyzed four quantitative parameters of DECT, among which the normalized iodine concentration (NIC) in the arterial phase had the highest area under the receiver operating characteristic curve (AUC). The combined sensitivity, specificity, and AUC were 83 % (95 % confidence interval [CI]: 76 % – 89 %), 90 % (95 % CI: 82 % – 95 %), and 0.92 (95 % CI: 0.90 – 0.94), respectively. The Spearman correlation coefficient was − 0.244 (<em>p</em> = 0.4). Meta-regression and subgroup analysis revealed that use of blinding, mean patients’ age, female proportion, presence of Hashimoto’s thyroiditis, number of lymph nodes included in the study, and slice thickness were sources of heterogeneity for the NIC in the arterial phase. No significant publication bias was observed among the studies.</div></div><div><h3>Conclusions</h3><div>DECT, a noninvasive technique, can be used to distinguish metastatic from nonmetastatic cervical lymph nodes in patients with PTC by measuring quantitative lymph node parameters.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111917"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142947020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinicians’ perspectives on the use of artificial intelligence to triage MRI brain scans","authors":"Munaib Din ,&nbsp;Karan Daga ,&nbsp;Jihad Saoud ,&nbsp;David Wood ,&nbsp;Patrick Kierkegaard ,&nbsp;Peter Brex ,&nbsp;Thomas C Booth","doi":"10.1016/j.ejrad.2025.111921","DOIUrl":"10.1016/j.ejrad.2025.111921","url":null,"abstract":"<div><div>Artificial intelligence (AI) tools can triage radiology scans to streamline the patient pathway and also relieve clinician workload. Validated AI tools can mitigate the delays in reporting scans by flagging time-sensitive and actionable findings. In this study, we aim to investigate current stakeholder perspectives and identify obstacles to integrating AI in clinical pathways. We created a survey to ascertain the perspectives of 133 clinicians across the United Kingdom regarding the acceptability of an AI tool that triages MRI brain scans into ‘normal’ and ‘abnormal’. As part of this survey, we supplied clinicians with information on training and validation case numbers, model performance, validation using unseen data, and explainability saliency maps. With regards to the specific use case of AI in MRI brain scans, 71% of respondents preferred the use of an AI-assisted triage compared to the current system without triage, typically chronologically. Notably, information that explained and helped visualise the AI model's decision making was found to improve clinician confidence. When shown a heatmap, 60% of participants felt more confident in the AI’s decision. The results of this short communication demonstrate a positive support for the implementation of AI-assistive tools in triage.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111921"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142978076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Textural and geometric measures derived from digital tomosynthesis discriminate women with and without vertebral fracture","authors":"Ram N. Yadav ,&nbsp;Daniel J. Oravec ,&nbsp;Joshua Drost ,&nbsp;Michael J. Flynn ,&nbsp;George W. Divine ,&nbsp;Sudhaker D. Rao ,&nbsp;Yener N. Yeni","doi":"10.1016/j.ejrad.2025.111925","DOIUrl":"10.1016/j.ejrad.2025.111925","url":null,"abstract":"<div><div>Vertebral fractures are a common and debilitating consequence of osteoporosis. Bone mineral density (BMD), measured by dual energy x-ray absorptiometry (DXA), is the clinical standard for assessing overall bone quantity but falls short in accurately predicting vertebral fracture. Fracture risk prediction may be improved by incorporating metrics of microstructural organization from an appropriate imaging modality. Digital tomosynthesis (DTS)-derived textural and microstructural parameters have been previously correlated to vertebral bone strength <em>in vitro</em>, but the <em>in vivo</em> utility has not been explored. Therefore, the current study sought to establish the extent to which DTS-derived measurements of vertebral microstructure and size discriminate patients with and without vertebral fracture. In a cohort of 93 postmenopausal women with or without history of vertebral fracture, DTS-derived microstructural parameters and vertebral width were calculated for T12 and L1 vertebrae, as well as lumbar spine BMD and trabecular bone score (TBS) from DXA images. Fracture patients had lower BMD and TBS, while DTS-derived degree of anisotropy and vertebral width were higher, compared to nonfracture (p &lt; 0.02 to p &lt; 0.003) patients. The addition of DTS-derived parameters (fractal dimension, lacunarity, degree of anisotropy and vertebral width) improved discriminative capability for models of fracture status (AUC = 0.79) compared to BMD alone (AUC = 0.67). For twelve additional participants who were imaged twice, <em>in vivo</em> repeatability errors for DTS parameters were low (0.2 % − 7.3 %). The current results support the complementary use of DTS imaging for assessing bone quality and improving the accuracy of fracture risk assessment beyond that achievable by DXA alone.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111925"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143002665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Baseline and early changes in CT body composition can predict recurrence-free survival after radical gastrectomy: A sex-specific study","authors":"Anyi Song ,&nbsp;Zhaoheng Huang ,&nbsp;Jinghao Chen ,&nbsp;Haipeng Gong ,&nbsp;Chunyan Yang ,&nbsp;Yuan Zhang ,&nbsp;Xuan Jiang ,&nbsp;Zhengqi Zhu","doi":"10.1016/j.ejrad.2025.111935","DOIUrl":"10.1016/j.ejrad.2025.111935","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to explore the predictive value of baseline CT body composition and its early changes on recurrence-free survival (RFS) following radical gastrectomy, while also assessing potential sex-related differences.</div></div><div><h3>Methods</h3><div>We conducted a retrospective analysis of gastric cancer (GC) patients with confirmed pathology from October 2019 to May 2023. All patients underwent preoperative and postoperative CT scans to assess visceral fat area (VFA), subcutaneous fat area (SFA), skeletal muscle area (SMA), and skeletal muscle density (SMD), along with calculating their respective rates of change. Multivariate Cox regression analyses were used to identify independent predictors of RFS in male and female patients separately, and nomogram models were subsequently developed. The models’ predictive performance was assessed using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).</div></div><div><h3>Results</h3><div>The study included 287 patients, consisting of 185 males and 102 females. At baseline, males had a lower subcutaneous adipose tissue index (SATI) but higher skeletal muscle index (SMI) and SMD compared to females (<em>p</em>＜0.001). Postoperatively, both SATI and visceral adipose tissue index (VATI) were significantly lower in both males and females than their corresponding preoperative values (<em>p</em>＜0.005). In males, SMI (HR = 0.442, <em>p</em> = 0.002), VATI (HR = 1.843, <em>p</em> = 0.018), lymphocyte (LYM) (HR = 0.486, <em>p</em> = 0.040), pathological T stage (HR = 3.004, <em>p</em> = 0.003), and postoperative complication (POC) (HR = 1.893, <em>p</em> = 0.014) were found to be independent predictors of RFS. In females, independent predictors of RFS included SMI (HR = 0.361, <em>p</em> = 0.013), SATI change rate (δSATI) (HR = 0.428, <em>p</em> = 0.024), albumin (ALB) (HR = 0.242, <em>p</em> = 0.003), CEA (HR = 5.418, <em>p</em> &lt; 0.001), and POC (HR = 3.425, <em>p</em> &lt; 0.001). The male-specific nomogram model demonstrated predictive accuracy for recurrence-free survival (RFS), with areas under the ROC curve (AUC) of 0.621, 0.783, and 0.796 at 1, 2, and 3 years, respectively. Similarly, the female-specific nomogram model achieved AUCs of 0.796, 0.836, and 0.783 at the corresponding time points. Calibration curves indicated a strong concordance between predicted and observed outcomes, while DCA validated the clinical utility of both models. Additionally, the models effectively stratified patients into low-risk and high-risk groups.</div></div><div><h3>Conclusion</h3><div>Sex differences were observed in the predictive value of CT body composition for RFS after gastrectomy. By incorporating CT body composition parameters and clinical indicators, sex-specific nomogram models were developed, demonstrating effective prediction of RFS in gastric cancer patients post-surgery.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111935"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of proposed imaging criteria for estimating vessels encapsulating tumor clusters in hepatocellular carcinoma at CT and gadoxetic acid-enhanced MRI","authors":"Xiang-Pan Meng ,&nbsp;Xiaodie Qu ,&nbsp;Yi-Xuan Guo ,&nbsp;Xiumin Qi ,&nbsp;Linjie Bian ,&nbsp;Danping Wu ,&nbsp;Jitao Wang ,&nbsp;Xiang Pan ,&nbsp;Yongping Zhou ,&nbsp;Fang-Ming Chen ,&nbsp;Feiyun Wu ,&nbsp;Xiangming Fang","doi":"10.1016/j.ejrad.2025.111936","DOIUrl":"10.1016/j.ejrad.2025.111936","url":null,"abstract":"<div><h3>Purpose</h3><div>Vessels encapsulating tumor clusters (VETC) was implicated in the unfavourable prognosis of hepatocellular carcinoma (HCC). While potentially valuable for noninvasive evaluation, the proposed imaging criteria of VETC require external validation. This study aimed to evaluate the performance and prognostic value of these imaging criteria via CT and gadoxetic acid-enhanced MRI.</div></div><div><h3>Methods</h3><div>Retrospectively, we gathered study included 191 patients with a single HCC who underwent preoperative CT and gadoxetic acid-enhanced MRI at three tertiary care centers between January 2017 and May 2021. The performance of previously reported radiological feature-based criteria of VETC, including the SN (size and necrosis) score, the VETC nomogram, and Fan’s model, were evaluated using the area under the curve (AUC) and compared using the DeLong method. Imaging estimated VETC stratification was assessed for its association with early recurrence.</div></div><div><h3>Results</h3><div>Ninety-four patients (49.2%) were pathologically identified as VETC-positive HCC. No significant differences were found between CT and gadoxetic acid-enhanced MRI regarding the performance of the criteria (all<!--> <em>P</em> <!-->&gt; 0.05). However, the VETC nomogram, which incorporates tumor size, necrosis, and enhancement pattern, outperformed the SN score and Fan’s model (AUC: 0.825 vs. 0.716 and 0.588 at CT; 0.841 vs. 0.721 and 0.621 at gadoxetic acid-enhanced MRI, both<!--> <em>P</em> <!-->&lt; 0.001). Stratification using the VETC nomogram, validated on both CT and gadoxetic acid-enhanced MRI, was associated with early recurrence (<em>P</em> <!-->&lt; 0.05).</div></div><div><h3>Conclusion</h3><div>This study confirmed that the radiological feature-based criteria of VETC in HCC are applicable to both CT and gadoxetic acid-enhanced MRI, with the VETC nomogram showing strong discriminatory power in identifying VETC-positive HCC and predicting early recurrence.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111936"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice","authors":"Sönke Peters ,&nbsp;Lars Schmill ,&nbsp;Carl Alexander Gless ,&nbsp;Klarissa Stürner ,&nbsp;Olav Jansen ,&nbsp;Svea Seehafer","doi":"10.1016/j.ejrad.2025.111941","DOIUrl":"10.1016/j.ejrad.2025.111941","url":null,"abstract":"<div><h3>Objectives</h3><div>In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitoring. For this purpose, software solutions are available to support the radiologist with image interpretation and reporting of follow up imaging. Aim of this study was to evaluate an AI based software for longitudinal lesion detection with clinical data and to determine the influence of different MRI machines in such setting.</div></div><div><h3>Methods</h3><div>The database of a university hospital was screened for all follow up MRI of MS patients performed in 2023. The examinations were categorized in “initial and follow up imaging at the same MRI” or “initial and follow up imaging at different MRI”. The examinations were analysed with the AI based software mdbrain. The results concerning new and enlarging lesions were compared with the clinical radiologic report and with a gold standard reading.</div></div><div><h3>Results</h3><div>101 MRIs were performed at the same MRI machine and 130 at different scanners. The AI based software had a high sensitivity (1 and 0.786) and an acceptable specificity (0.74 and 0.549) concerning new or enlarging lesions in both settings. The negative predictive value was high (1 and 0.954), whereas the positive predictive value was low due to false positive new or enlarging lesions (0.444 and 0.177). The reasons for false positive lesions differed markedly in both groups.</div></div><div><h3>Conclusion</h3><div>For the evaluation of follow up MR images of MS patients, an AI-based imaging analysis can be beneficial in clinical routine, especially due to a very high negative predictive value.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111941"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143037671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the value of dynamic contrast-enhanced MRI for the diagnosis and follow-up of central cartilage tumors","authors":"Maryse Lejoly ,&nbsp;Thomas Van Den Berghe ,&nbsp;Felix Delbare ,&nbsp;Wouter C.J. Huysse ,&nbsp;David Creytens ,&nbsp;Gwen Sys ,&nbsp;Koenraad L. Verstraete","doi":"10.1016/j.ejrad.2024.111860","DOIUrl":"10.1016/j.ejrad.2024.111860","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the value of (dynamic) contrast-enhanced MRI for the diagnosis and follow-up of central cartilage tumors (CCT) of the proximal humerus, distal femur and proximal tibia.</div></div><div><h3>Materials &amp; methods</h3><div>97 patients (44 ± 11 years, 31men) with a CCT (histopathologically proven and/or &gt; 2 years follow-up (5 ± 3 years)) were retrospectively/consecutively included at the Ghent University Hospital (Belgium, 2003–2021). Thickness of the enhancing rim and dynamic contrast-enhanced MRI parameters of the entire tumor were calculated. Tumor volumes were calculated to assess tumor growth. Significant differences between enchondromas, atypical cartilaginous tumors, high-grade chondrosarcomas, tumors with and without growth at follow-up were evaluated and ROC-curves were analyzed.</div></div><div><h3>Results</h3><div>A significant difference (p = 0.015) existed in enhancing rim thickness between high-grade chondrosarcomas and other groups. A ROC-curve with an AUC of 0.89 and cut-off value of 1.2 mm had a sensitivity of 100 % and a specificity of 64 % to identify high-grade chondrosarcomas. A significant correlation was found between the relative maximal enhancement (Rel-Emax) of the whole tumor compared to muscle and the absolute growth rate (ρ = 0.75, p &lt; 0.001). Lesions with a Rel-Emax &lt; 1 remained stable or showed regression during follow-up (mean −0.1 ± 0.3 ml/year). Lesions with a Rel-Emax between 1 and 2 showed little growth (mean + 0.2 ± 0.2 ml/year), and lesions with a Rel-Emax &gt; 2 had the highest growth rate (mean 0.4 ± 0.2 ml/year).</div></div><div><h3>Conclusion</h3><div>A thick enhancing rim &gt; 1.2 mm has a high sensitivity to detect high-grade chondrosarcomas. The higher the Rel-Emax of the whole tumor compared to muscle, the higher the growth rate of a CCT.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"183 ","pages":"Article 111860"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142784780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}