Abdominal Radiology最新文献

{"title":"Standardizing the reporting of cholangiocarcinoma: the society of abdominal radiology disease focused panel on cholangiocarinoma lexicon.","authors":"Robert M Marks, Hina Arif, Maria Antonietta Bali, Ryan L Brunsing, Guilherme M Cunha, Hala Khasawneh, Maria El Homsi, Charanjeet Singh, Raj Paspulati, Andrea Kierans, Aliya Qayyum","doi":"10.1007/s00261-024-04769-9","DOIUrl":"https://doi.org/10.1007/s00261-024-04769-9","url":null,"abstract":"<p><p>In March 2023, the Society of Abdominal Radiology (SAR) Disease Focused Panel (DFP) on Cholangiocarcinoma (CCA) was formed. One of its initial tasks was for creation of a lexicon specific for CCA to complement the terms related to the Liver Imaging Reporting and Data System (LI-RADS) category M. A committee was formed and vetted 15 unique terms for CCA. The multidisciplinary members of the DFP passed each term by over 90% approval. The purpose of this paper is to describe the process for developing the lexicon, introduce the lexicon terms, and provide a pictorial atlas of the 15 vetted terms relating to the imaging findings of CCA.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942369","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":"Differentiation between renal cell carcinoma metastases to the pancreas and pancreatic neuroendocrine tumors in patients with renal cell carcinoma on CT or MRI.","authors":"Marie-Joy Nduwimana, Ceylan Colak, Cem Bilgin, Blake A Kassmeyer, Candice M Bolan, Christine O Menias, Sudhakar K Venkatesh","doi":"10.1007/s00261-024-04787-7","DOIUrl":"https://doi.org/10.1007/s00261-024-04787-7","url":null,"abstract":"<p><strong>Purpose: </strong>To determine whether renal cell carcinoma metastases (RCC-Mets) to the pancreas can be differentiated from pancreatic neuroendocrine tumors (PNETs) in patients with RCC on CT or MRI at presentation.</p><p><strong>Methods: </strong>This retrospective study included patients with biopsy-proven RCC-Mets (n = 102) or PNETs (n = 32) at diagnosis or after nephrectomy for RCC. Inter-observer agreement (Cohen kappa) was assessed in 95 patients with independent reads by two radiologists, with discrepancies resolved by consensus for final analysis. The remaining 39 cases underwent consensus reads by two different radiologists for final analysis. The CT/MRI images were reviewed for number, size, regional distribution, parenchymal location (exophytic or intrapancreatic), contrast-enhancement, and enhancement pattern of pancreatic lesions in the available phases. Statistical tests were conducted using two sample t-tests and Pearson's chi-squared test for numeric and categorical variables respectively.</p><p><strong>Results: </strong>The study group comprised of 134 patients (90 males) with 265 lesions (229 RCC-Mets and 36 PNETs). Patients with PNETs were significantly younger (62 ± 12 years vs. 67 ± 9 years, p = 0.013). Inter-observer agreement for CT/MRI features was excellent across multiple imaging variables (k = 0.86-1.00). Most PNETs were single lesions (88 vs. 63%, p = 0.008), smaller in size (14 mm vs. 23 mm, p = 0.042), more common in the body and tail (81 vs. 57%, p = 0.01), showed homogeneous contrast enhancement (64-79% vs. 39-49%, p < 0.01-0.03), less T1-hypointense (80 vs. 99%, p = 0.002) and more DWI hyperintense (71 vs. 58%, p < 0.001) compared to RCC-Mets.</p><p><strong>Conclusion: </strong>PNETs are typically single, occur in distal pancreas, and enhance homogeneously compared to RCC-Mets which are often multiple, occur in the proximal pancreas, and enhance heterogeneously.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942365","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":"Optimal virtual monoenergy for the detection of pancreatic adenocarcinoma during the pancreatic parenchymal phase on photon counting CT.","authors":"Andrew Ruff, Xiaochun Li, Judith D Goldberg, Mark Ehrhart, Luke Ginocchio, Paul Smereka, Thomas O'Donnell, Bari Dane","doi":"10.1007/s00261-024-04696-9","DOIUrl":"https://doi.org/10.1007/s00261-024-04696-9","url":null,"abstract":"<p><strong>Purpose: </strong>As the pancreas is a low contrast visibility organ, pancreatic ductal adenocarcinoma detection is challenging due to subtle attenuation differences between tumor and pancreatic parenchyma. Photon counting CT (PCCT) has superior iodine contrast-to-noise ratio than conventional CT and also affords the creation of low keV virtual monoenergetic images, both of which increase adenocarcinoma conspicuity. The purpose therefore was to identify the optimal virtual monoenergy for visualizing PDAC during the pancreatic parenchymal phase of enhancement at PCCT using both quantitative and qualitative analyses.</p><p><strong>Methods: </strong>Consecutive patients with pancreatic parenchymal phase PCCT source data were retrospectively identified by PACS search. For the quantitative analysis, region of interest (ROI) measurements were drawn in the pancreatic head, body, tail, pancreatic adenocarcinoma (if present), and psoas muscles on 40-120 keV virtual monoenergetic images in 10 keV increments. Based on the quantitative analysis results and vendor recommendations, four virtual monoenergies(40 keV, 55 keV, 70 keV, and 85 keV) were selected for additional qualitative analysis. Three radiologists blinded to four virtual monoenergies assessed overall image quality, image noise, pancreatic enhancement, and pancreatic mass conspicuity on 5-point Likert scales.</p><p><strong>Results: </strong>54 patients (28/54 male, mean[SD] age: 62 [13] years) were included. Quantitatively, 40 keV had the highest pancreatic parenchymal CNR and attenuation difference between the adenocarcinoma and parenchyma, but also the highest noise (HUsd). Qualitatively, 70 keV had the best overall image quality (Mean [SE]: 3.7[0.1]) and lower noise than 40 and 55 keV (3.6[0.08] vs. 1.8[0.07] and 2.7[0.05], respectively, p < .001). 40 keV had the greatest pancreatic enhancement (mean[SE] 4.6[0.11]). Adenocarcinoma conspicuity ratings were greatest at 40 keV and 55 keV, and not significantly different from each other (mean[SE] 4.4[0.13] and 4.3[0.14], respectively, Tukey adj-p =.20). 55 keV had greater overall image quality and lower noise than 40 keV (mean[SE] 3.4[0.08] vs. 2.5[0.08], Tukey adj-p < .001 and 2.7[0.05] vs. 1.8[0.07], Tukey adj-p < .001 respectively).</p><p><strong>Conclusion: </strong>55 keV pancreatic parenchymal phase virtual monoenergetic images afford optimal pancreatic assessment at PCCT for the visualization of pancreatic adenocarcinoma. Routinely viewing 55 keV virtual monoenergetic images at PCCT may improve PDAC detection.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942368","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":"Quality and impact of youtube for patient education on prostatic artery embolization.","authors":"Connor C Jacob, Mina S Makary","doi":"10.1007/s00261-024-04790-y","DOIUrl":"https://doi.org/10.1007/s00261-024-04790-y","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the quality of YouTube videos on patient education concerning prostatic artery embolization (PAE).</p><p><strong>Methods: </strong>All PAE videos on YouTube were evaluated in December 2023. The quality of the videos was evaluated utilizing the DISCERN Scale Criterion. The popularity and engagement of each video was assessed using the Video Power Index (VPI) and Viewer Impact Score (VIS), respectively. Comparisons of these metrics were conducted and stratified by the video source type including academic institution, interventional radiologist, and patient testimony. Data describing discussion of risks, benefits, and indications were further collected.</p><p><strong>Results: </strong>Of the 43 videos, video characteristics included duration (mean = 4.6 min), views (mean = 16,885), and likes (mean = 139). The mean DISCERN, VPI, and VIS scores were 47.9, 15.0, and 36.9, respectively. There was no correlation between quality, and popularity (R² = 0.09) or engagement (R² = 0.01). Videos featuring board-certified physicians did not significantly improved DISCERN scores (p = 0.13), VPI (p = 0.15), or VIS (p = 0.39) scores when compared to those without. Content by interventional radiologists demonstrated higher popularity compared to videos featuring other specialties (p = 0.04), but there was no difference in quality (p = 0.18).</p><p><strong>Conclusion: </strong>Educational videos about PAE on YouTube are of average quality. Clinicians should be aware of the general state of online information concerning PAE and guide patients towards high quality resources.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930348","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":"Imaging and management of complications post biliary-enteric anastomosis.","authors":"Wyanne Law, Jordan Swensson, Mackenzie Mayhew, Victor Zaydfudim, Rachita Khot","doi":"10.1007/s00261-024-04705-x","DOIUrl":"https://doi.org/10.1007/s00261-024-04705-x","url":null,"abstract":"<p><p>Biliary-enteric anastomosis is a common surgical procedure for benign and malignant pathologies involving bile ducts, pancreas and duodenum, as well as during liver transplantation. Imaging is key in detecting potential complications. Ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and nuclear scintigraphy provide complementary information. Ultrasound offers real-time assessment of bile duct dilation and fluid collection. CT scan, due to its wide availability, is often performed first and provides detailed cross-sectional anatomy. MRI, including MR cholangiography, excels in visualizing bile ducts and detecting subtle changes in anastomosis integrity. Common complications of BEA include bile leak, biliary anastomotic stricture, and cholangitis, each presenting with distinct imaging features. Effective imaging allows for early detection and management of these complications, improving patient outcomes. This review discusses the role of imaging in assessing post-BEA complications and emphasizes the importance of multimodal imaging approaches in the comprehensive evaluation of BEA and its complications.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930339","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":"Magnetic resonance imaging of hepatocellular carcinoma: a spectrum of uncommon morphologic subtypes, unusual imaging patterns and mimics.","authors":"Mindy X Wang, M Azfar Siddiqui, Alexandra Roudenko, Amita Kamath, Humaira Chaudhry, Roopa Ram, Amir A Borhani, Venkateswar Surabhi, Khaled M Elsayes, Robert M Marks, Maxime Ronot","doi":"10.1007/s00261-024-04773-z","DOIUrl":"https://doi.org/10.1007/s00261-024-04773-z","url":null,"abstract":"<p><p>Advances in imaging techniques have evolved, allowing for early noninvasive diagnosis and improved management of high-risk patients with hepatocellular carcinoma (HCC). The hallmark imaging features of HCC on multiphasic cross-sectional imaging can be explained by the multistep process of hepatocarcinogenesis and is seen in 60% of cases. However, approximately 40% of cases do not abide by the classic imaging appearance and may pose a diagnostic challenge for radiologists. These may be accounted by their morphologic subtypes with differing molecular and/or genetic features. Additionally, various malignant and benign lesions and pseudolesions may mimic HCC. This article aims to highlight the unusual cross-sectional imaging manifestations of HCC and describe its pitfalls and mimics.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142926279","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":"⁶⁸Ga-DOTA-FAPI-04 and ¹⁸F-FDG PET/CT: a head-to-head comparison for peritoneal carcinomatosis diagnostic accuracy.","authors":"Xiaolin Chen, Xiao Pang, Yan Zhao, Xinming Zhao, Yunuan Liu, Fenglian Jing, Huiqing Yuan, Xiaoshan Chen, Tianyue Li, Yingchen Wang, Yali Liu, Jingya Han, Jingmian Zhang, Jianfang Wang, Zhaoqi Zhang","doi":"10.1007/s00261-024-04653-6","DOIUrl":"https://doi.org/10.1007/s00261-024-04653-6","url":null,"abstract":"<p><strong>Purpose: </strong>The study aimed to compare the diagnostic accuracy of ⁶⁸Ga-DOTA-FAPI-04 (⁶⁸Ga-FAPI) and ¹⁸F-FDG PET/CT for peritoneal carcinomatosis (PC) in patients with various types of cancer.</p><p><strong>Methods: </strong>The study enrolled 113 patients with suspected peritoneal malignancy, each of whom underwent ⁶⁸Ga-FAPI and ¹⁸F-FDG PET/CT scans. Lesions in all patients were confirmed through pathology or radiological follow-up. The evaluation and comparison of diagnostic performance, visual scores, maximum standardized uptake value (SUV_max), mean tumor-to-background ratio (TBR), and the peritoneal cancer index (PCI) score were conducted.</p><p><strong>Results: </strong>Compared to ¹⁸F-FDG, ⁶⁸Ga-FAPI PET/CT presented higher sensitivity, negative predictive value, and accuracy for detecting PC on a patient-level (100% vs. 93.2%, 100% vs. 22.22% and 93.81% vs. 86.73%, respectively). Semi-quantitative evaluation revealed that ⁶⁸Ga-FAPI PET/CT had significantly higher SUV_max and TBR for PC [(6.06 ± 3.04 vs. 4.82 ± 2.75, P = 0.001) and (8.50 ± 5.01 vs. 2.92 ± 1.67, P < 0.001)]. The PCI_-FAPI score for PC was higher than the PCI_-FDG score (11.28 ± 7.10 vs. 5.69 ± 5.15, P < 0.001).</p><p><strong>Conclusions: </strong>⁶⁸Ga-FAPI has demonstrated superior diagnostic accuracy compared to ¹⁸F-FDG PET/CT in detecting PC with various types of cancer, particularly gastric cancer. Additionally, ⁶⁸Ga-FAPI has shown significantly higher uptake and PCI score in PC compared to ¹⁸F-FDG, indicating its potential importance in clinical.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918990","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":"Preoperative magnetic resonance evaluation of Struma Ovarii and its importance for the surgical modality: a retrospective study from two institutions.","authors":"Chunjuan Sun, Li Cai, Ming Liu, Xinlian Wang","doi":"10.1007/s00261-024-04789-5","DOIUrl":"https://doi.org/10.1007/s00261-024-04789-5","url":null,"abstract":"<p><strong>Objectives: </strong>To improve preoperative diagnostic accuracy of struma ovarii by retrospectively reviewing magnetic resonance (MR) findings. It is beneficial to choose the most appropriate surgical modality for the patient.</p><p><strong>Methods: </strong>We retrospectively reviewed the clinical course and MR characteristics of 52 patients who were diagnosed postoperatively with struma ovarii, pathologically, from two institutions. All patients were performed routine and contrast enhanced MR scans.</p><p><strong>Results: </strong>All tumors were unilateral. Forty- eight tumors (92.3%) were multicystic with variable signal intensity. On T2-weighted images, some loculi or small cysts with very low signal intensity were recognized in forty-two tumors (80.8%). The solid part of the tumor was significantly enhanced on T1-weighted enhanced image in forty-two cases (80.8%), without diffusion restriction in forty-one cases (97.6%). Diffusion restriction was observed in only one patient (2.4%). Laparoscopic surgery was performed in 32 patients (61.5%) whose preoperative diagnosis was benign or borderline. The rest 20 cases (38.5%) underwent exploratory laparotomy, including 14 cases with malignant diagnosis, 5 cases of mucinous cystadenoma and a case of giant serous cystadenoma.</p><p><strong>Conclusion: </strong>A mass composed of multiple cysts with variable signal intensity, some loculi or small cysts with very low signal intensity on T2-weighted image and the solid part of the tumor significantly enhanced on T1-weighted enhanced image without diffusion restriction are appeared to be the characteristic MR findings of struma ovarii. Accurate preoperative diagnosis of struma ovarii is beneficial to choose the most appropriate surgical approach for the patient.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142919005","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":"Preoperative discrimination of absence or presence of myometrial invasion in endometrial cancer with an MRI-based multimodal deep learning radiomics model.","authors":"Yuan Chen, Xiaohong Ruan, Ximiao Wang, Peijun Li, Yehang Chen, Bao Feng, Xianyan Wen, Junqi Sun, Changye Zheng, Yujian Zou, Bo Liang, Mingwei Li, Wansheng Long, Yuan Shen","doi":"10.1007/s00261-024-04766-y","DOIUrl":"https://doi.org/10.1007/s00261-024-04766-y","url":null,"abstract":"<p><strong>Objective: </strong>Accurate preoperative evaluation of myometrial invasion (MI) is essential for treatment decisions in endometrial cancer (EC). However, the diagnostic accuracy of commonly utilized magnetic resonance imaging (MRI) techniques for this assessment exhibits considerable variability. This study aims to enhance preoperative discrimination of absence or presence of MI by developing and validating a multimodal deep learning radiomics (MDLR) model based on MRI.</p><p><strong>Methods: </strong>During March 2010 and February 2023, 1139 EC patients (age 54.771 ± 8.465 years; range 24-89 years) from five independent centers were enrolled retrospectively. We utilized ResNet18 to extract multi-scale deep learning features from T2-weighted imaging followed by feature selection via Mann-Whitney U test. Subsequently, a Deep Learning Signature (DLS) was formulated using Integrated Sparse Bayesian Extreme Learning Machine. Furthermore, we developed Clinical Model (CM) based on clinical characteristics and MDLR model by integrating clinical characteristics with DLS. The area under the curve (AUC) was used for evaluating diagnostic performance of the models. Decision curve analysis (DCA) and integrated discrimination index (IDI) were used to assess the clinical benefit and compare the predictive performance of models.</p><p><strong>Results: </strong>The MDLR model comprised of age, histopathologic grade, subjective MR findings (TMD and Reading for MI status) and DLS demonstrated the best predictive performance. The AUC values for MDLR in training set, internal validation set, external validation set 1, and external validation set 2 were 0.899 (95% CI, 0.866-0.926), 0.874 (95% CI, 0.829-0.912), 0.862 (95% CI, 0.817-0.899) and 0.867 (95% CI, 0.806-0.914) respectively. The IDI and DCA showed higher diagnostic performance and clinical net benefits for the MDLR than for CM or DLS, which revealed MDLR may enhance decision-making support.</p><p><strong>Conclusions: </strong>The MDLR which incorporated clinical characteristics and DLS could improve preoperative accuracy in discriminating absence or presence of MI. This improvement may facilitate individualized treatment decision-making for EC.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142919001","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":"Exploring the potential of the combined diagnostic model of ADC value and bp-MRI VI-RADS in the evaluation of muscle invasion in bladder Cancer.","authors":"Zhichao Zhang, Weixiong Xiao, Yiqian Wang, Wei Zhang, Min Luo","doi":"10.1007/s00261-024-04788-6","DOIUrl":"https://doi.org/10.1007/s00261-024-04788-6","url":null,"abstract":"<p><strong>Objective: </strong>This study investigates the diagnostic value of Vesical Imaging Reporting and Data System (VI-RADS) in biparametric MRI (bp-MRI) for the detection of muscular infiltration in bladder cancer, and to investigate whether apparent diffusion coefficient (ADC) value can function as a potential indicator of bp-MRI VI-RADS for patient benefit.</p><p><strong>Materials and methods: </strong>This single-center retrospective study enrolled 81 patients with pathologically confirmed bladder cancer from October 2019 to November 2021. Two readers independently scored the T2-weighted images and diffusion-weighted images of each index lesion based on the VI-RADS criteria, subsequently deriving the bp-MRI VI-RADS scores. Both ADC values and bp-MRI VI-RADS scores were utilized to develop a simple model by logistic regression. Receiver-operating characteristic curve assessed all systems, while decision curve analysis (DCA) and calibration curves evaluated the model's performance.</p><p><strong>Results: </strong>The area under the curve (AUC) of bp-MRI VI-RADS was 0.886 (95% confidence interval [CI]: 0.801-0.971), with the diagnostic accuracy, sensitivity, and specificity being 0.753, 0.962, and 0.655 respectively. Regarding the ADC value, its AUC was 0.899 (95% CI: 0.821-0.977), and the diagnostic accuracy, sensitivity, and specificity were 0.877, 0.846, and 0.891. The AUC of the simple combined model achieved 0.942 (95% CI: 0.881-0.999), and the diagnostic accuracy, sensitivity, and specificity were 0.889, 0.885, and 0.891. The DeLong test verified that there was a statistically significant difference in AUC between the model and bp-MRI VI-RADS alone (P < 0.05). The simple model demonstrated excellent clinical applicability via DCA and calibration plots.</p><p><strong>Conclusions: </strong>The contrast-free bp-MRI VI-RADS demonstrates commendable diagnostic efficacy for diagnosing muscular infiltration in bladder cancer. Additionally, ADC values can complement bp-MRI VI-RADS, enhancing diagnostic performance.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142913239","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}