Abdominal Radiology最新文献

{"title":"Non-contrast cine magnetic resonance urography in evaluating and monitoring of primary obstructive megaureter: a case series study.","authors":"Liqing Xu, Zhenyu Li, Yiming Zhang, Xiang Wang, Xinfei Li, Zhihua Li, Kunlin Yang, Zihao Tao, Liqun Zhou, He Wang, Xuesong Li","doi":"10.1007/s00261-025-04938-4","DOIUrl":"https://doi.org/10.1007/s00261-025-04938-4","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the feasibility and usefulness of cine magnetic resonance urography (MRU) as a novel examination for primary obstructive megaureter (POM).</p><p><strong>Material and methods: </strong>The study was conducted on 44 patients with POM who underwent cine MRU from May 2020 to October 2022. Referring to the international system of vesicoureteral reflux, patients were divided into the low-risk (grade I-IV) and the high-risk (grade V) groups. From the ureterovesical orifice to the ureteropelvic junction, the ureteral contraction ratio was measured at every 10% of the total length of the ureter.</p><p><strong>Results: </strong>A total of 44 patients and 53 ureters with POM who underwent cine MRU were included. The contraction ratios were lower in the high-risk group than those in the low-risk group, with significant differences at the distal 10% (12.91% vs 29.02%, p < 0.001) and 20% levels (16.50% vs 32.34%, p = 0.019). After surgery, the ureteral contraction ratios at the 10% and 20% levels have a significant improvement (42.05% vs 21.00%, p = 0.001; 52.30% vs 27.50%, p = 0.003). We further found the ureteral contraction ratio at the 10% level being as a predictor of surgical technique. When the ureteral contraction ratio at 10% level was less than 12.67%, reimplantation may be more appropriate (AUC = 0.900, p < 0.001; The Youden index = 0.800).</p><p><strong>Conclusion: </strong>The ureteral contractile activity at different levels in cine MRU can be used to evaluate the severity and treatment effectiveness, and also have certain reference value for the selection of surgical methods. Larger, multicenter studies are warranted to validate these findings.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143963541","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":"A case of plasmacytoid urothelial carcinoma with characteristic radiological findings.","authors":"Fumiko Yagi, Hirotaka Akita, Kazuhiro Matsumoto, Takeo Kosaka, Akihisa Ueno, Shunsuke Nakamura, Yuki Hasunuma, Tomo Taketani, Hajime Okita, Mototsugu Oya, Masahiro Jinzaki","doi":"10.1007/s00261-025-04940-w","DOIUrl":"https://doi.org/10.1007/s00261-025-04940-w","url":null,"abstract":"<p><p>Plasmacytoid urothelial carcinoma (PUC) is a rare and an aggressive subtype of invasive urothelial carcinoma, often diagnosed at advanced stages with poor prognosis. We report a case of PUC with characteristic radiological findings. A male patient in his 70s presented with nocturnal urinary incontinence; cystoscopy findings suggested cancer. Magnetic resonance imaging (MRI) revealed a 6-mm-sized protruding lesion of the bladder with early contrast enhancement and diffusion restriction, indicative of bladder cancer. Additionally, a diffuse bladder wall thickening, abnormal signal intensity, and contrast enhancement were observed around the bladder. Fluorodeoxyglucose (FDG) positron emission tomography/computed tomography showed no significant FDG uptake in the lesion. The possibility of peritoneal dissemination of gastrointestinal malignancy was considered; however, no obvious primary lesions were identified. PUC was suggested as a differential diagnosis, prompting random bladder biopsies during resection of a protruding lesion in the bladder. Immunohistochemical staining confirmed PUC, with positivity for CD138, CK7, and GATA3 and negativity for CDX-2 and E-cadherin. Following treatment with gemcitabine and cisplatin, the lesion size decreased. Diagnosis of PUC can be difficult because the lesion is not easily detected by cystoscopy, misdiagnosed as peritoneal dissemination of gastrointestinal cancer on CT or MRI, or histopathologically similar to plasmacytoma or malignant lymphoma. PUC may present with pelvic peritoneal spread of the tumor as thick sheets extending along the fascial planes, which may be a characteristic imaging finding. Radiologists must be aware of these typical imaging findings to ensure accurate diagnosis of PUC.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143962620","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":"Comparison of different machine learning methods in the prediction of early recurrence in HCC patients with Gd-EOB-DTPA-MRI.","authors":"Shu Wen Sun, Xun Xu, Qiu Ping Liu, Fei Peng Zhu, Yu Dong Zhang, Xi Sheng Liu","doi":"10.1007/s00261-025-04932-w","DOIUrl":"https://doi.org/10.1007/s00261-025-04932-w","url":null,"abstract":"<p><strong>Purpose: </strong>To develop machine learning models that are driven by Gd-EOB-DTPA-MRI features for the preoperative prediction of early recurrence in HCC and compare them to the previously proposed ERASL-pre method.</p><p><strong>Methods: </strong>This retrospective study consisted of 311 consecutive patients who underwent curative hepatic resection between January 2013 and July 2021. Among them, 131 patients with early recurrence of HCC and 180 patients without early recurrence of HCC. The MR images were independently reviewed by two radiologists. Logistic regression, classification tree, random forest, extreme gradient boosting (XGBoost), support vector machines (SVM), and neural network (Nnet) were the six machine learning algorithms used. The baseline model was ERASL-pre. Different models' discrimination, calibration, and overall performance were evaluated and compared.</p><p><strong>Results: </strong>The baseline ERASL-pre obtained AUCs of 0.703 and 0.716, respectively. In comparison to ERASL-pre, the AUCs for logistic regression, random forest, and SVM were higher but not substantially different. XGBoost produced AUCs for Readers 1 and 2 of 0.720 and 0.685, respectively. Nnet achieved marginally lower but not statistically different AUCs in comparison to ERASL-pre, whereas the classification tree achieved the lowest AUCs. The logistic regression model had the optimal overall net benefit across the majority of the range of reasonable threshold probabilities. Good agreement was observed between prediction and observation in the ERASL-pre and the logistic regression model for both readers.</p><p><strong>Conclusion: </strong>The logistic regression model performed better in predicting an early recurrence of HCC with Gd-EOB-DTPA MRI. In addition, the model is more sensitive than the baseline ERASL-pre model.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952001","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":"Differentiating uterine adenosarcoma from endometrial polyps: MRI imaging features.","authors":"Kumi Harada, Yasuhisa Kurata, Yuki Himoto, Aki Kido, Mitsuhiro Kirita, Atsushi Yoshida, Yuka Kuriyama Matsumoto, Junzo Hamanishi, Sachiko Minamiguchi, Hiroaki Ito, Akitoshi Nakashima, Takashi Minamisaka, Sayaka Daido, Kaoru Abiko, Koki Moriyoshi, Kumiko Ando, Shigeki Arizono, Takuya Aoki, Shigeo Hara, Masaki Mandai, Yuji Nakamoto","doi":"10.1007/s00261-025-04905-z","DOIUrl":"https://doi.org/10.1007/s00261-025-04905-z","url":null,"abstract":"<p><strong>Objective: </strong>This study was conducted to identify MRI features distinguishing uterine adenosarcoma from endometrial polyps and to predict the presence or absence of sarcomatous overgrowth (SO), a pathological finding linked to poor prognosis.</p><p><strong>Methods: </strong>This multicenter retrospective study included 11 cases of uterine adenosarcoma, with 5 showing SO and 6 without, and 20 cases of endometrial polyps measuring 3 cm or greater diameter. Quantitative evaluations (tumor volume, cystic lesion size, diffusion-weighted imaging [DWI] signal ratio, apparent diffusion coefficient [ADC] value, and normalized ADC value) and qualitative evaluations (degree of hemorrhage, signal intensity on T2-weighted imaging and DWI, number of cystic lesions, degree of contrast enhancement, and tumor localization) were performed. The evaluation parameters were compared between uterine adenosarcoma and endometrial polyp groups, and between SO and non-SO subgroups within uterine adenosarcoma.</p><p><strong>Results: </strong>Uterine adenosarcoma had significantly larger tumor volumes (median 192,324 mm³ vs. 15,717 mm³, p < 0.001), larger cystic lesions (median 17.7 mm vs. 6.7 mm, p = 0.0074), and higher DWI signal ratios (median 1.50 vs. 1.08, p = 0.008) along with significantly lower ADC values (median 961.5 × 10^- 6 mm²/s vs. 1222.3 × 10^- 6 mm²/s, p = 0.048) and normalized ADC values (median 0.34 vs. 0.49, p = 0.001) compared to endometrial polyps. Gross hemorrhage (9/11 vs. 1/20, p < 0.001) and high signal intensity on DWI (10/11 vs. 4/20, p < 0.001) were observed more frequently with uterine adenosarcomas. No significant difference was found between uterine adenosarcomas with SO and without SO for any quantitative or qualitative evaluation parameter.</p><p><strong>Conclusions: </strong>This study identified key imaging features of uterine adenosarcoma, including larger tumor volume, larger cystic lesions, gross intratumoral hemorrhage, higher DWI signal intensity, and lower ADC values. These findings can facilitate preoperative differentiation of uterine adenosarcoma from endometrial polyps.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143955526","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":"Development of a model combining CEUS LI-RADS and clinical features for predicting glypican-3 expression in hepatocellular carcinoma.","authors":"Fen Huang, Jinshu Pang, Yuquan Wu, Yueting Sun, Rong Wen, Xiumei Bai, Wanxian Nong, Ruizhi Gao, Yun He, Cuiling Li, Guangliang Huang, Hong Yang","doi":"10.1007/s00261-025-04861-8","DOIUrl":"https://doi.org/10.1007/s00261-025-04861-8","url":null,"abstract":"<p><strong>Objective: </strong>To establish a predictive model incorporating clinical features and contrast-enhanced ultrasound (CEUS) liver Imaging Reporting and Data System (LI-RADS) for predicting glypican-3 (GPC3) expression in hepatocellular carcinoma (HCC).</p><p><strong>Methods: </strong>A total of 142 HCC patients between January 2020 to June 2021 in our institution were retrospectively analyzed. All patients underwent CEUS before surgery, and the reference standard was immunohistochemical analysis of surgical specimen. The clinical features, conventional ultrasound features, and CEUS LI-RADS features of patients in the GPC3-positive and GPC3-negative groups were evaluated and compared. The variables screened by multivariable logistic regression were used to develop a model for predicting GPC3 expression and the predictive precision and clinical utility of the model was evaluated using receiver operating characteristic analysis and decision curve analysis.</p><p><strong>Results: </strong>Among the 142 HCC patients, 96 (67.6%) were classified as LR-4/5 lesions, 46 (32.4%) were classified as LR-M lesions, 101 (71.1%) were GPC3-positive and 41 (28.9%) were negative. Multivariable logistic regression analysis showed that younger age (OR = 0.947; 95% CI: 0.910-0.985; p = 0.007), alpha-fetoprotein > 400 ng/ml (OR = 5.202; 95% CI: 1.808-14.966; p = 0.002) and LI-RADS M (OR = 2.822; 95% CI: 1.101-7.236; p = 0.031) was independent risk factors for GPC3-positive HCC. The model combining clinical features and LI-RADS categories showed better performance than single variable, with AUC of 0.759 (p < 0.05). The nomogram and decision curves revealed substantial clinical benefit of the prediction model in predicting GPC3 expression.</p><p><strong>Conclusion: </strong>The combined model incorporating clinical features and CEUS LI-RADS achieved a satisfactory performance for predicting GPC3 expression in HCC patients.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143965477","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":"The nVR model: prediction of LI-RADS treatment response nonviable recurrence of hepatocellular carcinoma after primary transarterial chemoembolization.","authors":"Shuhang Zhang, Weilang Wang, Xiuming Zhang, Binyan Zhong, Feng Feng, Wu Cai, Binrong Li, Varsha Ajith Menon, Shuwei Zhou, Teng Zhang, Xunjun Chen, Shenghong Ju, Yuan-Cheng Wang","doi":"10.1007/s00261-025-04924-w","DOIUrl":"https://doi.org/10.1007/s00261-025-04924-w","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to build a prediction model based on MRI features and clinical characteristics for early tumor recurrence (< 12 months) in lesions which evaluated as LR-TR nonviable at first follow up (1-2 months) after transaterial chemoembolization (TACE).</p><p><strong>Methods: </strong>This multicenter retrospective study included consecutive patients with hepatocellular carcinoma (HCC) who underwent initial TACE from five centers between February 2015 and October 2022. Additionally, patients from a completed clinical trial (NCT03113955) were also included for this retrospective analysis. Nineteen baseline imaging features and six first follow-up imaging features were evaluated for lesions classified as LR-TR nonviable at the first post-TACE imaging assessment. A predictive model integrating clinical and MRI features for early recurrence of LR-TR nonviable lesions was developed with logistic regression analyses and validated on a 5-fold cross-validation. The model's performance was further validated by analyzing relapse-free survival (RFS) using Kaplan-Meier curves.</p><p><strong>Results: </strong>Non-smooth margin (OR: 4.69; 95% CI: 1.91, 11.56; P = 0.001) and peritumoral hyperintensity on T2-weighted imaging or diffusion-weighted imaging (OR: 6.12; 95% CI: 2.53, 14.80; P < 0.001) were identified as independent risk factors for early recurrence of LR-TR nonviable lesions. The non-Viable Recurrence (nVR) model, developed using these two features, achieved area under the receiver operating characteristic curve of 0.759 (0.734, 0.784) in the training cohort and 0.765 (0.632, 0.898) in the validation cohort. Patients were stratified into high-risk and low-risk groups based on the Youden index, with RFS significantly differing between these groups in both the training (P < 0.001) and validation cohorts (P = 0.009).</p><p><strong>Conclusion: </strong>Based on two radiologic features, the nVR model has demonstrated relatively reliable efficacy in predicting early post-TACE recurrence.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143955950","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":"Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma","authors":"Junghwa Choi,&nbsp;Andrew Gordon,&nbsp;Aydin Eresen,&nbsp;Zhuoli Zhang,&nbsp;Amir Borhani,&nbsp;Ulas Bagci,&nbsp;Robert Lewandowski,&nbsp;Dong-Hyun Kim","doi":"10.1007/s00261-025-04916-w","DOIUrl":"10.1007/s00261-025-04916-w","url":null,"abstract":"<div><p>The tumor microenvironment (TME) of hepatocellular carcinoma (HCC) has garnered significant attention, especially with the rise of immunotherapy as a treatment strategy. Radiomics, an innovative technique, offers valuable insights into the intricate structure of the TME. This review highlights recent advancements in radiomics for analyzing the HCC TME, identifies key areas that warrant further research, and explores comprehensive multi-omics approaches that extend the potential of radiomics to new frontiers.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4661 - 4675"},"PeriodicalIF":2.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143956643","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":"Surgery-confirmed internal hernia with or without Roux-en-Y anastomosis: diagnostic performance of six CT signs","authors":"Hyun Kyung Yang,&nbsp;Joao Baptista Rezende-Neto,&nbsp;Viviane Willig Brasil,&nbsp;Errol Colak","doi":"10.1007/s00261-025-04927-7","DOIUrl":"10.1007/s00261-025-04927-7","url":null,"abstract":"<div><h3>Purpose</h3><p>To assess the diagnostic performance and generalizability of established CT signs of internal hernias across a broad patient population including those with and without Roux-en Y anastomosis.</p><h3>Methods</h3><p>Our institutional review board approved this retrospective study. CT scans of 21 patients (11 women, 10 men) with surgically confirmed internal hernia and 52 control patients (23 women, 29 men) in whom internal hernia was suspected on CT but subsequently excluded surgically were reviewed. Six CT signs were evaluated: non-duodenal small bowel (ND-SB) behind the superior mesenteric artery (SMA), right-sided jejunojejunal anastomosis in applicable patients, “swirl” sign, superior mesenteric vein compression, “mushroom” sign, and clustered small bowel (SB) loops. Sensitivity, specificity, and odds ratios with 95% confidence intervals were calculated for each sign using logistic regression.</p><h3>Results</h3><p>Logistic regression identified the “mushroom” sign, clustered SB, and ND-SB behind the SMA as significant independent predictors of internal hernia with an area under the receiver operating characteristic curve of 0.746. The sensitivity, specificity, and odds ratio of the “mushroom” sign, clustered SB, and ND-SB behind the SMA were 38.1%, 86.5%, 3.96 (95% CI, 1.21–12.97), 47.6%, 75.0%, 2.73 (95% CI, 0.94–7.89), and 33.3%, 88.2%, 3.75 (95% CI, 1.08–13.02), respectively.</p><h3>Conclusion</h3><p>The “mushroom” sign, clustered SB, and ND-SB behind the SMA are valuable CT findings in diagnosing internal hernias irrespective of Roux-en-Y anastomosis. In particular, ND-SB behind the SMA and the “mushroom” sign are highly specific.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4533 - 4540"},"PeriodicalIF":2.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960638","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 of endometriosis-related infertility","authors":"Kristine S. Burk,&nbsp;Hina Arif-Tiwari,&nbsp;Tanya Chawla,&nbsp;Haatal B. Dave,&nbsp;Izabela Pires Franco,&nbsp;Pamela Causa-Andrieu,&nbsp;Liina Poder,&nbsp;Luciana P. Chamie","doi":"10.1007/s00261-025-04926-8","DOIUrl":"10.1007/s00261-025-04926-8","url":null,"abstract":"<div><p>Endometriosis is a common cause of subfertility and infertility through myriad mechanisms. Imaging of endometriosis is critical for its diagnosis, characterization, and treatment. Understanding its imaging appearance, surgical management, and implications for assisted reproductive therapy is essential to providing the most clinically relevant and impactful reports in endometriosis patients. This manuscript will review imaging techniques used to diagnose and characterize endometriosis-related infertility. We will describe relevant imaging findings by anatomic site and review the impact of surgery and ART on its appearance.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4960 - 4970"},"PeriodicalIF":2.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143957242","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":"The pitfalls of fixed-ratio data splitting in radiomics model performance evaluation","authors":"Haoru Wang","doi":"10.1007/s00261-025-04936-6","DOIUrl":"10.1007/s00261-025-04936-6","url":null,"abstract":"<div><p>Over the past decade, radiomics has seen exponential growth, with over ten thousand publications in PubMed and a steady increase in related studies in journals like <i>Abdominal Radiology</i>. Despite the potential of radiomics, a major challenge lies in validating radiomics models, as most studies rely on single-center datasets with fixed-ratio splits, which can lead to variability in performance due to randomness in data splitting. Therefore, researchers should adopt more robust cross-validation methods rather than relying solely on the fixed-ratio holdout method to ensure robust and reliable radiomics model performance evaluation.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"5044 - 5046"},"PeriodicalIF":2.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960901","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}