Abdominal Radiology最新文献

{"title":"Usefulness of multiphasic MRI in assessing suitability for SIRT in treatment of liver malignancies.","authors":"Cagri Erdim, Elife Akgun, Tevfik Guzelbey, Gulsah Yilmaz, Mehmet Hamza Turkcanoglu, Ali Dablan, Burcu Esen Akkas, Ozgur Kilickesmez","doi":"10.1007/s00261-025-04875-2","DOIUrl":"https://doi.org/10.1007/s00261-025-04875-2","url":null,"abstract":"<p><strong>Aim: </strong>To evaluate the predictive value of multiphasic magnetic resonance imaging (MRI) in identifying liver tumor perfusion characteristics and to compare it with hepatic artery perfusion scintigraphy findings in patients considered for selective internal radiation therapy (SIRT) with yttrium-90 (Y-90).</p><p><strong>Methods: </strong>This study included 93 patients diagnosed with primary or secondary liver cancer between May 2021 and February 2024, comprising 47 patients (27 M/20F) deemed unsuitable for SIRT and 46 patients (26 M/20F) eligible for SIRT. The relationship between multiphasic MRI and scintigraphy findings in determining perfusion of tumors was analyzed. Predictive performance was evaluated with receiver operating characteristic (ROC) analysis, and the optimal cut-off values were determined using the Youden index.</p><p><strong>Results: </strong>The SIRT unsuitable group had a lower frequency of intratumoral arterial phase hyperenhancement(APHE) (40.43% vs. 69.57%, p = 0.042), presence of hyperintensity on T2 sequence (72.34% vs. 95.65%, p = 0.026), lower lesion intensity in the portal phase (p = 0.033), and a lower lesion-to-liver intensity ratio in the portal phase (≤ 0.97, p = 0.011). The absence of intratumoral APHE [p = 0.049, AUC (95% CI) = 0.646 (0.508-0.783)] and a lesion-to-liver intensity ratio in the portal phase with a cut-off value of ≤ 0.97 [p = 0.011, AUC (95% CI) = 0.689 (0.564-0.815)] were significant predictors of SIRT unsuitability.</p><p><strong>Conclusion: </strong>Both the absence of intratumoral APHE and a lower lesion-to-liver intensity ratio in the portal phase were significant predictors of SIRT unsuitability.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646524","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":"Fallopian fimbriae entrapped in an ovarian endometriotic cyst mimicking malignancy: a case report.","authors":"Atsushi Yoshida, Shigeshi Kohno, Shojiro Oka, Yuko Someya, Shigeki Arizono, Tsuyoshi Suga, Reiichi Ishikura, Hiroe Itami, Shinichiro Maeda, Kumiko Ando","doi":"10.1007/s00261-025-04882-3","DOIUrl":"https://doi.org/10.1007/s00261-025-04882-3","url":null,"abstract":"<p><p>Ovarian endometriotic cysts are associated with an increased risk of clear cell and endometrioid carcinomas, as well as borderline neoplasms. Although contrast-enhancing nodules on magnetic resonance imaging (MRI) suggest malignancy, benign endometriotic cysts can also present with such features, complicating differentiation from malignancy. When malignancy is suspected, minimally invasive procedures, such as laparoscopic cystectomy, are typically avoided. However, preserving fertility and ovarian function warrants careful consideration when selecting invasive surgical procedures. From the perspective of selecting appropriate surgical approaches, accurate preoperative differentiation between benign and malignant ovarian tumors is essential. We present the first case of MRI showing fallopian fimbriae entrapped in an endometriotic cyst mimicking malignancy. A 49-year-old female presented with atypical genital bleeding. MRI revealed a right ovarian endometriotic cyst with a contrast-enhancing mural nodule (10 mm), suggestive of malignancy. The nodule demonstrated T2-weighted hypointensity equivalent to the cyst fluid without diffusion restriction. Laparotomy revealed the nodule as entrapped fallopian fimbriae within the endometriotic cyst, with no malignancy detected. In this case, the fallopian fimbriae entrapped in the endometriotic cyst appeared as an enhancing nodule because of their vascularity, mimicking malignancy. Fallopian fimbriae are inconspicuous structures that can produce false findings suggestive of malignancy, similar to other benign enhancing nodules, such as polypoid endometriosis and decidualization. However, their lack of diffusion restriction and low T2-weighted signal intensity may help distinguish them from malignancy. This knowledge is crucial for accurate diagnosis and avoiding unnecessary interventions.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646741","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":"Comparing two deep learning spectral reconstruction levels for abdominal evaluation using a rapid-kVp-switching dual-energy CT scanner.","authors":"Hakki Serdar Sagdic, Mohammadreza Hosseini-Siyanaki, Abheek Raviprasad, Sefat Munjerin, Daniella Fabri, Joseph Grajo, Victor Martins Tonso, Laura Magnelli, Daniela Hochhegger, Evelyn Anthony, Bruno Hochhegger, Reza Forghani","doi":"10.1007/s00261-025-04868-1","DOIUrl":"https://doi.org/10.1007/s00261-025-04868-1","url":null,"abstract":"<p><strong>Purpose: </strong>Deep Learning Spectral Reconstruction (DLSR) potentially improves dual-energy CT (DECT) image quality, but there is a paucity of research involving human abdominal DECT scans. The purpose of this study was to comprehensively evaluate image quality by quantitatively and qualitatively comparing strong and standard levels of a DLSR algorithm. Optimal virtual monochromatic image (VMI) energy levels were also evaluated.</p><p><strong>Methods: </strong>DECT scans of the abdomen/pelvis from 51 patients were retrospectively evaluated. VMIs were reconstructed at energy levels ranging from 35 to 200 keV using both standard and strong DLSR levels. For quantitative analysis, various abdominal structures were assessed using regions of interest, and mean signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) values were calculated. This was supplemented with a qualitative evaluation of VMIs reconstructed at 35, 45, 55, and 65 keV.</p><p><strong>Results: </strong>The strong-level DLSR demonstrated significantly better SNR and CNR values (p < 0.0001) compared to standard-level DLSR across all structures. The optimal SNR was observed at 70 keV (p < 0.0001), while the optimal CNR was found at 65 keV (p < 0.0001). The average qualitative scores between standard and strong DLSR were significantly different at 45, 55, and 65 keV (p < 0.0001). There was a moderate level of agreement between observers (ICC = 0.427, p < 0.0001).</p><p><strong>Conclusion: </strong>A DLSR set to a strong level significantly improves image quality compared to standard-level DLSR, potentially enhancing the diagnostic evaluation of abdominal DECT scans. In addition to achieving a very high SNR, 65 keV VMIs had the highest CNR, which differs from what is typically observed with traditional DECT using non-deep learning reconstruction approaches.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646761","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":"Intrahepatic cholangiocarcinoma: role of imaging as a critical component for multi-disciplinary treatment approach.","authors":"Betzaira G Childers, Jason W Denbo, Richard D Kim, Sarah E Hoffe, Tetiana Glushko, Aliya Qayyum, Daniel A Anaya","doi":"10.1007/s00261-025-04856-5","DOIUrl":"https://doi.org/10.1007/s00261-025-04856-5","url":null,"abstract":"<p><p>Cholangiocarcinoma (CCA) is a unifying title granted to epithelial adenocarcinomas specific to the bile ducts making up 10-25% of all hepatobiliary malignancies. CCA is more appropriately classified based on anatomic site of origin within the biliary tract into intrahepatic cholangiocarcinoma (iCCA), peri-hilar (pCCA) cholangiocarcinoma, and distal cholangiocarcinoma (dCCA). Intrahepatic cholangiocarcinoma makes up 10-20% of CCA and originates within and/or proximal to the second order bile ducts. The incidence of iCCA has been rising overtime with up to 1.26 per 100,000 persons, per year in the United States and up to 3.3 per 100, 000 persons, per year affected globally. Risk factors include chronic hepatic inflammation secondary to viral hepatitis, alcohol/NASH cirrhosis, biliary cystic lesions, and endemic causes, among other less common genetic drivers. Given its rarity, the recognition and diagnosis of cholangiocarcinoma, iCCA specifically, remains challenging resulting in delays in treatment initiation or any treatment at all. Median overall survival (mOS) for iCCA remains low. Early diagnosis, and stage-based treatment approaches have evolved and are associated with improved survival. To this goal, a multi-disciplinary treatment approach has been demonstrated to improve patient outcomes by providing expert evaluation as it pertains to an accurate imaging and histologic diagnosis, staging, radiologic and surgical review for resectability, operative expertise, post operative care, as well as comprehensive knowledge and implementation of systemic/targeted or liver directed therapies. Here, we discuss the central role of imaging in the diagnosis of intrahepatic cholangiocarcinoma to implement a comprehensive treatment plan that frequently involves multiple disciplines to achieve the best outcome for each patient.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646764","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":"Treatment-related changes in adenomyosis: a primer for radiologists.","authors":"Brunna Clemente Oliveira, Myra K Feldman, Priyanka Jha, Scott Young, Arnaldo Schizzi Cambiaghi, Luciana P Chamié","doi":"10.1007/s00261-025-04866-3","DOIUrl":"https://doi.org/10.1007/s00261-025-04866-3","url":null,"abstract":"<p><p>Adenomyosis is a common, estrogen-dependent condition where endometrial tissue grows within the myometrium, often accompanied by smooth muscle hypertrophy. Initially thought to represent a condition primarily seen in multiparas with menorrhagia, and dysmenorrhea, adenomyosis is now increasingly recognized in younger patients and those with infertility and subfertility. As a result, conservative treatments aimed at preserving the uterus and improving reproductive outcomes have gained attention to treat adenomyosis. While research has largely focused on managing abnormal uterine bleeding and dysmenorrhea, there is limited evidence on the treatment of infertility associated with adenomyosis, particularly in terms of imaging follow-up. This paper reviews the emerging literature, highlighting key imaging findings before and after uterus-preserving treatments for adenomyosis, to better inform management and decision-making.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646518","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 mucinous cystic neoplasms and simple cysts of the liver: a systematic review and meta-analysis.","authors":"Gita Manzari Tavakoli, Mahshad Afsharzadeh, Mahya Mobinikhaledi, Shima Behzad, Hamed Ghorani, Faeze Salahshour","doi":"10.1007/s00261-025-04874-3","DOIUrl":"https://doi.org/10.1007/s00261-025-04874-3","url":null,"abstract":"<p><strong>Purpose: </strong>Radiologic examinations frequently identify cystic liver lesions, which encompass various entities from simple benign cysts to malignant neoplasms. This work analyses the available data to compare diagnostic features of biliary cystic neoplasms and hepatic simple cysts.</p><p><strong>Methods: </strong>A systematic search of PubMed, Scopus, Embase, and Web of Science up to October 2024 was conducted. The characteristics were categorized into hepatic simple cysts (HSC) and mucinous cystic neoplasms (MCN), including biliary cystadenoma (BCA) and cystadenocarcinoma (BCAC) detected by imaging modalities including ultrasound, CT scans with IV contrast, or MRI. We analyzed biliary cystic neoplasms and hepatic simple cysts across multiple studies using Review Manager Ver. 5, calculating summary measures for each feature.</p><p><strong>Results: </strong>The study analyzed 577 lesions in 577 patients and 49 studies. Hepatic simple cysts were the most common finding, with 349 identified, mainly in the right hepatic lobe, presented with abdominal pain or incidentally. Intracystic septation was found in 50.1% of HSC lesions, with thick septation in 10.52% of lesions. 228 (49.9%) patients were diagnosed with MCN, with abdominal swelling and pain as the most common presentation. Septation was the most common radiological feature of MCNs, with thick septa in 50.61%. MCNs had internal septa, solid mural nodule, upstream bile duct dilation, presence in the left hepatic lobe, septal thickening, cystic wall enhancement, calcifications, and internal debris. The presence of a cyst in the left lobe was more related to MCNs.</p><p><strong>Conclusion: </strong>Characterizing cystic liver lesions necessitates a comprehensive evaluation of the lesions' location, size, and complexity. Imaging and clinical findings are essential for a final diagnosis.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646738","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":"Diagnosis of moderate-to-severe hepatic steatosis using deep learning-based automated attenuation measurements on contrast-enhanced CT.","authors":"Hae Young Kim, Kyung Jin Lee, Seung Soo Lee, Se Jin Choi, Dong Hwan Kim, Subin Heo, Hyeon Ji Jang, Sang Hyun Choi","doi":"10.1007/s00261-025-04872-5","DOIUrl":"https://doi.org/10.1007/s00261-025-04872-5","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the utility of deep learning-based automated attenuation measurements on contrast-enhanced CT (CECT) for diagnosing moderate-to-severe hepatic steatosis (HS), using histology as reference standard.</p><p><strong>Methods: </strong>This retrospective study included 3,620 liver donors (2,393 men and 1,227 women; mean age, 31.7 ± 9.4 years), divided into the development (n = 2,714) and test (n = 906) cohorts. Attenuation values of the liver and spleen on CECT were measured both manually and using a deep learning algorithm (before and after radiologists' correction of segmentation errors). Performance of: (1) liver attenuation and (2) liver-spleen attenuation difference for diagnosing moderate-to-severe HS (> 33%) was assessed using the area under the receiver operating characteristic curve (AUC). Three different criteria targeting 95% sensitivity, 95% specificity, and the maximum Youden's index, respectively, for diagnosing moderate-to-severe HS, were developed and validated.</p><p><strong>Results: </strong>The performance of deep learning-based measurements did not differ significantly, with or without radiologists' corrections (p = 0.13). Liver-spleen attenuation difference outperformed liver attenuation alone in diagnosing moderate-to-severe HS in both deep learning-based (AUC, 0.868 vs. 0.821; p = 0.001) and manual (AUC, 0.871 vs. 0.823; p = 0.001) measurements. In the test cohort, the criterion targeting 95% sensitivity for diagnosing moderate-to-severe HS (liver-spleen attenuation difference ≤ 2.8 HU) yielded 92.0% (69/75) sensitivity and 48.5% (403/831) specificity. The criterion targeting 95% specificity (liver-spleen attenuation difference ≤ -18.8 HU) yielded 53.3% (40/75) sensitivity and 95.7% (795/831) specificity. The criterion targeting the maximum Youden's index (liver-spleen attenuation difference ≤ -8.2 HU) yielded 82.7% (62/75) sensitivity and 80.7% (671/831) specificity.</p><p><strong>Conclusion: </strong>Deep learning-based automated measurements of liver and spleen attenuation on CECT can be used reliably to detect moderate-to-severe HS.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646763","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 interventions in vascular malformations of the gastrointestinal tract.","authors":"Divij Agarwal, Sanchita Gupta, Hemanga K Bhattacharjee, Chandan J Das","doi":"10.1007/s00261-025-04880-5","DOIUrl":"https://doi.org/10.1007/s00261-025-04880-5","url":null,"abstract":"<p><p>Vascular malformations of the gastrointestinal (GI) tract are a rare yet significant cause of GI bleeding, that can present at any age and require a high index of suspicion for timely diagnosis. While the majority of lesions may be asymptomatic and detected incidentally on imaging, they may also present with anemia if there is occult blood loss, as acute GI bleeding, or as lead points for intussusception. The presence of multiple vascular malformations may be associated with underlying syndromes, such as Hereditary Hemorrhagic Telangiectasia syndrome and Klippel-Trénaunay syndrome. While luminal endoscopy is the first-line diagnostic test to evaluate overt and occult GI bleeding, imaging plays a very significant role in detecting these vascular malformations and planning the best treatment approach. In this review, we describe the various imaging findings of GI tract vascular malformations and available treatment options, focusing on endovascular interventional treatments where possible.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646744","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":"Radiotherapy volume delineation based on MRI and ¹⁸F-FDG-PET/MRI in locally recurrent rectal cancer.","authors":"Yu-Kun Lin, Lei-Lei Zhu, Jun Zhao, Zuo-Lin Xiang","doi":"10.1007/s00261-025-04859-2","DOIUrl":"https://doi.org/10.1007/s00261-025-04859-2","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the value of ¹⁸F-FDG-positron emission tomography (PET)/magnetic resonance imaging (MRI) functional imaging in the radiotherapy of locally recurrent rectal cancer by comparing the target volume delineation based on PET/MRI and MRI.</p><p><strong>Materials and methods: </strong>Twenty-six patients who were diagnosed with locally recurrent rectal cancer were included in this study. Patients underwent PET/MRI, and the target volume was delineated independently by three radiation oncologists. The degree of overlap, spatial consistency, and difference in the target volume delineated based on the two methods were compared. The efficacy of PET/MRI and MRI in detecting metastatic lymph nodes was analyzed.</p><p><strong>Results: </strong>In radiotherapy for patients with recurrent rectal cancer, the gross tumor volume (GTV), clinical target area (CTV), and nodal gross tumor volume (GTVn) delineated based on MRI and PET/MRI were correlated (P < 0.001, P < 0.001, and P < 0.001, respectively). Differences in CTV were statistically significant (P < 0.001), and the CTV greatly overlapped spatially. There is spatial heterogeneity in GTV and GTVn based on the two imaging modalities. Metastatic lymph node analysis revealed that the detection efficiency of the two modalities was the same at the population level. There was no significant difference in the number of metastatic lymph nodes detected (P = 0.521).</p><p><strong>Conclusion: </strong>PET/MRI can improve the accuracy of target volume delineation and has similar advantages to MRI in assessing the number of metastatic lymph nodes in patients with recurrent rectal cancer.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646516","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":"Bi-parametric MRI-based quantification radiomics model for the noninvasive prediction of histopathology and biochemical recurrence after prostate cancer surgery: a multicenter study.","authors":"Si Yu Wu, Ying Wang, Ping Fan, Tianqi Xu, Pengxi Han, Yan Deng, Yiming Song, Ximing Wang, Mian Zhang","doi":"10.1007/s00261-025-04873-4","DOIUrl":"https://doi.org/10.1007/s00261-025-04873-4","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>To develop and evaluate the performance of a noninvasive radiomics combined model based on preoperative bi-parametric MRI to assess biochemical recurrence (BCR) risk factors and to predict biochemical recurrence free survival in PCa patients.</p><p><strong>Materials and methods: </strong>Pretreatment bp-MRI and clinicopathology data of 666 (discovery cohort, 545; test cohort, 121) PCa patients from four centers between January 2015 to March 2023 were retrospectively included. To predict BCR, extracapsular extension (ECE), pelvic lymph node metastasis (PLNM), and Gleason Grade group (GG), the pred-BCR, pred-ECE, pred-PLNM, and pred-GG models were developed, respectively. Subsequently, a logistic regression algorithm was used to combine one or more radiomics models and clinicopathology variables into radiomics-clinicopathology combined models (M1, M2) and radiomics-clinical combined model without pathology results (M3) for predicting BCR.</p><p><strong>Results: </strong>In the test cohort, the AUCs for the pred-BCR, pred-ECE, pred-PLNM, and pred-GG models were 0.841, 0.764, 0.896, and 0.698. Of the three combined models, M3 has the best prediction performance with an AUC of 0.884, M2 is the following with an AUC of 0.863, and M1 has the lowest performance with an AUC of 0.838 (95% CI 0.750-0.925) in the test cohort. Delong's test showed that the M3 was significantly higher (M1 vs. M3, p = 0.028; M2 vs. M3, p = 0.044).</p><p><strong>Conclusion: </strong>The combined model developed in this study, which is not dependent on pathologic biopsies, can noninvasively predict postoperative histopathology and BCR after PCa, therefore may provide decision support for follow-up and treatment strategies for patients in the postoperative period.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646756","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}