Abdominal Radiology最新文献

{"title":"Transforming adnexal mass assessment: how large language model improve ovarian-adnexal reporting and data system interpretation and sonographer performance","authors":"Yueting Sun,&nbsp;Hui Shen,&nbsp;Lihe Zhang,&nbsp;Yuting Jiang,&nbsp;Qiao Zheng,&nbsp;Liu Du,&nbsp;Miao He,&nbsp;Lihong Wu,&nbsp;Hongning Xie","doi":"10.1007/s00261-026-05498-x","DOIUrl":"10.1007/s00261-026-05498-x","url":null,"abstract":"<div><h3>Objectives</h3><p>To assess the accuracy of large language models (LLMs) in Ovarian-Adnexal Reporting and Data System (O-RADS) categorization based on free-text ultrasound reports and to explore their potential to support radiologists with varying levels of experience.</p><h3>Materials and methods</h3><p>This retrospective study included patients with suspected adnexal masses from October 2022 to May 2024. A reference standard for O-RADS categorization was established by consensus of three senior radiologists. Surgical pathology served as the gold standard for determining benign versus malignant nature. Three LLMs (ChatGPT-4o, ChatGPT-5, Gemini 2.5 Pro) were prompted with O-RADS rules using few-shot learning. Intra-LLM agreement and accuracy against the reference standard were evaluated, along with structured error analysis for systematic misclassification patterns. In a crossover design, a subset of 150 lesions was interpreted independently by two junior and two senior readers with and without LLM assistance. Diagnostic performance (area under the receiver operating characteristic curve [AUC]), inter-reader agreement, and agreement with the reference standard were compared between assisted and unassisted readings.</p><h3>Results</h3><p>A total of 302 patients with 324 lesions were analyzed. All three LLMs demonstrated substantial intra-LLM agreement (κ = 0.65–0.77) and high categorization accuracy against the reference standard, with no significant differences among models (<i>p</i> = 0.70). Error analysis revealed that misclassifications were concentrated in lesions with borderline morphologic features. With LLM assistance, junior radiologists showed higher inter-reader agreement and agreement with the reference standard (weighted κ ≥ 0.85), along with a non-significant trend toward better diagnostic performance (mean ΔAUC = 0.10; <i>p</i> = 0.06). In contrast, senior readers showed stable performance (mean ΔAUC = 0.01; <i>p</i> = 0.22). In discordant cases, junior readers accepted LLM suggestions in 60.78%-72.34% of instances, compared with only 2.04%-2.33% among seniors.</p><h3>Conclusion</h3><p>LLMs demonstrated high accuracy and reliability in O-RADS ultrasound categorization based on free-text reports. Their assistance was associated with increased O-RADS categorization performance and a non-significant trend toward better diagnostic performance among junior readers, suggesting their potential as an adjunct tool for less experienced radiologists, however, these observed effects predominantly reflect substantial reliance on LLM suggestions rather than independent skill improvement.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 10","pages":"5251 - 5260"},"PeriodicalIF":2.3,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147718979","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":"Evaluation of pan-alimentary MRI examinations: intrasubject variability and examination duration","authors":"Fredrika Sofia Magnuson,&nbsp;Tina Okdahl,&nbsp;Davide Bertoli,&nbsp;Isabelle Myriam Larsen,&nbsp;Nina Marie Videbech,&nbsp;Maja Veitland Ilkjær,&nbsp;Jens Brøndum Frøkjær,&nbsp;Asbjørn Mohr Drewes,&nbsp;Klaus Krogh,&nbsp;Esben Bolvig Mark","doi":"10.1007/s00261-026-05399-z","DOIUrl":"10.1007/s00261-026-05399-z","url":null,"abstract":"<div><h3>Background</h3><p>Many gastrointestinal (GI) disorders entail disturbances in GI functions such as motility and volume. Magnetic resonance imaging (MRI) can assess GI motility and volumes in one single examination; however, challenges with clinical implementation with pan-alimentary MRI can be intrasubject variability and time-consuming examinations.</p><h3>Objectives</h3><p>This study aims to examine 1) intrasubject variability in MRI-assessed gut volumes, motility and whole-gut transit time 2) propose a shortened pan-alimentary MRI examination, and 3) demonstrate feasibility of clinical implementation of pan-alimentary MRI.</p><h3>Methods</h3><p>Five individual MRI studies were included in this study. The intrasubject variability of MRI measurements was assessed in 40 healthy subjects scanned twice with more than two weeks between examinations. Parameters were assessed with the intraclass correlation coefficient (ICC) and included gastric half-emptying time, small bowel motility index, whole gut transit capsule score, and segmental volumes of stomach, small bowel and colon. A shortened MRI examination was tested using estimations of gastric half-emptying time calculated using either a five datapoint- and a three datapoint postprandial MRI examination, performed in 86 individuals. Feasibility of clinical implementation was exemplified by two patient cases.</p><h3>Results</h3><p>Gastric half-emptying time showed moderate reproducibility (ICC: 0.53 [95% CI: 0.31-0.74]). Fasting small bowel motility index had an ICC of 0.66 [0.45-0.82], and fasting total colon volume had an ICC of 0.47 [0.23-0.72]. Whole gut transit capsule scores had poor reproducibility (ICC: 0.27 [0.04-0.76]). Reducing scan datapoints for calculating gastric half-emptying time, maintained accuracy (concordance correlation coefficient: 0.93-0.95). Feasibility of implementation was shown by successful examinations at both a minor- and a university hospital.</p><h3>Conclusion</h3><p>Despite fluctuating ICCs of intrasubject variation measurements, physiological variances are to be expected when assessing the GI tract. The proposed shortened MRI examination is applicable outside specialized research settings and may provide new insights in patients with motility disorders.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 10","pages":"4858 - 4871"},"PeriodicalIF":2.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00261-026-05399-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719322","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":"Natural history of focal nodular hyperplasia on gadoxetic acid–enhanced MRI: a multicenter cohort study","authors":"Fei Xing,&nbsp;Shuangshuang Lu,&nbsp;Tingyan Shi,&nbsp;Wei Xing,&nbsp;Ming Qi,&nbsp;Yahong Bao,&nbsp;Jiyong Gu","doi":"10.1007/s00261-026-05518-w","DOIUrl":"10.1007/s00261-026-05518-w","url":null,"abstract":"<div><h3>Purpose</h3><p>To investigate the natural history and longitudinal imaging evolution of focal nodular hyperplasia (FNH) using gadoxetic acid–enhanced MRI (EOB-MRI) in a multicenter cohort.</p><h3>Methods</h3><p>This retrospective multicenter cohort study enrolled patients with FNH who underwent both baseline and follow-up EOB-MRI. Lesion evolution was assessed using three complementary metrics: absolute diameter change (threshold ≥ 0.5 cm), relative percentage change (threshold ≥ 10%), and annual diameter change (cm/year). Hepatobiliary phase (HBP) phenotype transitions from baseline to final follow-up were assessed using a predefined four-tier classification system (types A–D). Multilevel mixed-effects models were applied to evaluate associations between clinical variables and longitudinal changes in lesion size.</p><h3>Results</h3><p>A total of 93 patients with 128 FNH lesions were included. Over a median follow-up of 39.2 months (range: 12.1–84.8 months), the majority of lesions remained stable (78/128, 60.9%) or decreased in size (37/128, 28.9%), whereas a minority exhibited interval enlargement (13/128, 10.2%). Among enlarging lesions, longitudinal HBP phenotype transitions were observed, including four from type A to type C, two from type D to type C, and one from type B to type D. At final follow-up, the mean lesion diameter was modestly but significantly smaller than at baseline (3.15 ± 1.52 cm vs. 3.31 ± 1.33 cm; <i>P</i> = 0.014), corresponding to a mean relative change of −6.2% and a mean annual change of −0.05 cm/year. Multilevel mixed-effects models revealed no independent associations between lesion enlargement or continuous diameter changes and any of the evaluated clinical variables, including sex, age, baseline body mass index, hepatic steatosis, oral contraceptive use, pregnancy history, or follow-up duration (all <i>P</i> &gt; 0.05).</p><h3>Conclusion</h3><p>Longitudinal EOB-MRI follow-up demonstrates that FNH exhibits a largely indolent natural history, with predominant lesion stability or spontaneous regression. Clinically significant enlargement is infrequent and shows no association with hormonal or other clinical factors. These findings support conservative management and indicate that routine imaging surveillance may be unnecessary in asymptomatic patients with typical imaging features.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 11","pages":"5519 - 5528"},"PeriodicalIF":2.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719346","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":"Automated report-based tracking of pancreatic cysts: implications for guideline-defined growth classification","authors":"Chenchan Huang,&nbsp;Beisong Liu,&nbsp;Stella K. Kang,&nbsp;Jay Karajgikar,&nbsp;Timothy Liu,&nbsp;Ebrahim K. Rasromani,&nbsp;Mikhail Roubakha,&nbsp;Yiqiu Shen","doi":"10.1007/s00261-026-05497-y","DOIUrl":"10.1007/s00261-026-05497-y","url":null,"abstract":"<div><h3>Purpose</h3><p>To develop and evaluate a hybrid large language model (LLM)– and rule-based algorithm for tracking pancreatic cystic lesions (PCLs) across serial radiology reports and apply it to a single-center cohort to characterize cyst growth using first-to-last and consecutive comparisons.</p><h3>Methods</h3><p>This retrospective study included all abdominal imaging reports interpreted by abdominal radiologists between 2005 and 2024. A validated LLM identified reports describing PCLs. A hybrid algorithm combining LLM-extracted cyst features (size, location) with rule-based logic matched dominant cysts across serial reports. Two blinded radiologists independently annotated cyst matches in a subset of reports. Agreement between algorithm and radiologists was assessed using percent agreement and Cohen’s κ. Discrepancies were adjudicated by a third radiologist for error analysis. Absolute size–based growth was assessed according to American College of Radiology (ACR) criteria, whereas cyst growth rate as a worrisome feature was assessed per Kyoto criterion, using both first-to-last and consecutive studies. Predictors of meeting the Kyoto cyst growth rate criterion were analyzed using multivariable Cox regression.</p><h3>Results</h3><p>In 58 patients with 418 longitudinal reports, agreement with the adjudicated reference standard was 96%. Cohen’s κ was 0.81 (95% CI: 0.66–0.91). The overall cohort included 8,176 patients (61.8% female; mean age 67.6 ± 11.7 years) with 8,389 cysts across 28,489 reports over 40.6 ± 28.5 months (annual growth rate = 0.35 mm/year). ACR absolute growth criteria classified a higher proportion of cysts than the Kyoto cyst growth rate criterion using first-to-last examinations (16.3% vs. 7.4%, <i>p</i> &lt; 0.001), whereas Kyoto cyst growth rate criterion identified a higher proportion using consecutive examinations (21.4% vs. 14%, <i>p</i> &lt; 0.001). Larger baseline cyst size predicted meeting the Kyoto cyst growth rate criterion (HR 1.9–4.0; highest HR 4.0, 95% CI 3.08–5.21; <i>p</i> &lt; 0.001).</p><h3>Conclusion</h3><p>A hybrid LLM–rule-based algorithm enables reliable automated longitudinal tracking of PCLs across serial radiology reports. When applied at scale, cyst growth classification varied according to the guideline framework and interval comparison method used, and baseline cyst size was the strongest predictor of meeting Kyoto growth rate threshold.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 10","pages":"5024 - 5036"},"PeriodicalIF":2.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719343","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":"Perianal pathology beyond fistulizing disease: spectrum of MRI findings and diagnostic pitfalls","authors":"Roberto Fornell-Perez","doi":"10.1007/s00261-026-05503-3","DOIUrl":"10.1007/s00261-026-05503-3","url":null,"abstract":"<div><p>Magnetic resonance imaging (MRI) of the perianal region is frequently performed in the context of fistulizing disease; however, a broad spectrum of non-fistulizing conditions may also affect this region. A wide variety of inflammatory, infectious, vascular, cystic, and neoplastic conditions, as well as anatomical variants and post-surgical changes, may involve the perianal region and often present with overlapping or nonspecific clinical manifestations.</p><p>MRI, owing to its superior soft tissue contrast and multiplanar capability, plays a central role in the evaluation of perianal pathology. Beyond lesion detection, MRI enables accurate characterization, assessment of disease extent, and differentiation between entities that may be clinically indistinguishable, thereby supporting appropriate therapeutic decision-making. Importantly, perianal abnormalities may also be incidentally detected on pelvic MRI studies performed for unrelated indications. In such cases, unfamiliarity with the full spectrum of perianal findings may represent a source of diagnostic uncertainty, particularly for less experienced radiologists.</p><p>This review focuses on the MRI appearance of non-fistulizing perianal pathology, emphasizing key imaging features that aid in differential diagnosis across a broad range of benign and malignant conditions. Representative cases from routine clinical practice are presented to illustrate typical and atypical imaging patterns, as well as common diagnostic pitfalls. Selected complementary computed tomography findings are included when relevant.</p><p>Given the relative infrequency of many perianal conditions, comprehensive knowledge of their MRI features, along with recognition of normal anatomical variants and expected post-treatment appearances, is essential. Such familiarity helps avoid misinterpretation, unnecessary invasive procedures, and delayed diagnosis, ultimately contributing to improved patient management and clinical outcomes.</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":"51 10","pages":"4872 - 4889"},"PeriodicalIF":2.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719328","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":"Reproducibility of ROI methods and reliability of conventional versus chemical shift-encoded MRI for hepatic fat and iron quantification","authors":"Hilton Leao Filho,&nbsp;Virginia Goncalves,&nbsp;Nathalia Mendonca,&nbsp;Rafael Sachetin,&nbsp;Abdalla Skaf","doi":"10.1007/s00261-026-05508-y","DOIUrl":"10.1007/s00261-026-05508-y","url":null,"abstract":"<div><h3>Purpose</h3><p>To compare the inter-reader reproducibility of two ROI placement strategies (circular versus freehand geographic) for hepatic PDFF and R2* quantification, and determine R2* thresholds above which conventional techniques show increasing disagreement relative to confounder-corrected chemical shift-encoded (CSE) methods, used as the reference technique.</p><h3>Materials and methods</h3><p>In this retrospective study, consecutive adults underwent abdominal MRI at 1.5 T with CSE and conventional sequences. Four radiologists (two seniors, two fellows) independently measured PDFF and R2* using both strategies. Inter-reader agreement was assessed using ICC; conventional–CSE agreement was evaluated with MAE stratified by R2* thresholds.</p><h3>Results</h3><p>Excellent interreader agreement was observed for all strategies: PDFF ICCs were 0.974 (five-ROI mean) and 0.975 (geographic); R2* ICCs were 0.983 for both. Correlation between strategies was near-perfect (PDFF: <i>r</i> = 0.995; R2*: <i>r</i> = 0.991). No significant differences were found between experience levels. A sliding threshold analysis identified conventional R2* = 45 s^⁻¹ as a proposed exploratory cutoff (bootstrap 95% CI: 40–70 s^⁻¹): below this value, conventional PDFF maintained low error (MAE = 3.2% points [pp]; 17.9% exceeding 5 pp), whereas above 80 s^⁻¹, MAE increased to 11.2 pp with 93.8% exceeding 5 pp. Conventional R2* systematically overestimated iron with increasing PDFF (MAE = 12.8 s^⁻¹ at PDFF ≥ 20%). In this study, reproducibility refers to inter-reader consistency (ICC), whereas agreement denotes error relative to the CSE reference (MAE).</p><h3>Conclusion</h3><p>Both ROI strategies yield excellent, comparable reproducibility regardless of reader experience. A proposed exploratory three-zone framework using conventional R2* (GREEN &lt; 45 s^⁻¹, YELLOW 45–80, RED ≥ 80) provides preliminary guidance regarding when conventional PDFF shows lower error relative to the CSE reference and when CSE methods should be strongly considered, pending external validation.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 11","pages":"5507 - 5518"},"PeriodicalIF":2.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719321","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":"Artificial intelligence in hepatocellular carcinoma: imaging-based subtyping and prediction of treatment response and prognosis","authors":"Maria El Homsi,&nbsp;Carl Sabottke,&nbsp;Charanjeet Singh,&nbsp;Carla Harmath,&nbsp;Bradley Spieler","doi":"10.1007/s00261-026-05520-2","DOIUrl":"10.1007/s00261-026-05520-2","url":null,"abstract":"<div><p>Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, accounting for nearly 90% of primary liver cancers worldwide. It is a biologically heterogeneous malignancy with variable aggressiveness and treatment response. Imaging is central to the diagnosis and staging of HCC but offers limited insights into tumor biology. Advances in artificial intelligence (AI) and radiomics enable the extraction of quantitative imaging features from CT and MRI which can be used to assess tumor heterogeneity, predict response to therapy, and aid risk stratification. In addition, emerging evidence suggests that certain imaging features can aid in distinguishing HCC subtypes, raising the possibility that imaging could extend beyond diagnosis and staging to subtype classification. For example, rim arterial phase hyperenhancement, corona enhancement, intratumoral arteries, peritumoral hypointensity on hepatobiliary phase imaging, tumor in vein, and necrosis are associated with macrotrabecular-massive HCC. This review summarizes the current landscape of AI and radiomics in advancing imaging-based HCC assessment, specifically for HCC subtype classification and treatment response prediction and prognostication. Current progress, limitations, and future directions for integrating AI and radiomics into HCC management are also discussed.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 11","pages":"5337 - 5345"},"PeriodicalIF":2.3,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147701819","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":"MRI risk stratification in metabolic dysfunction–associated steatotic liver disease (MASLD): from diffuse liver disease to focal lesions","authors":"Gabriela Carboni,&nbsp;Natália Henz Concatto,&nbsp;Rubia Vanceta,&nbsp;Henrique Meira Guerra,&nbsp;Alice Schuch","doi":"10.1007/s00261-026-05502-4","DOIUrl":"10.1007/s00261-026-05502-4","url":null,"abstract":"<div><p>Metabolic dysfunction–associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide. Hepatic steatosis, its imaging hallmark, is a frequent incidental finding in abdominal imaging, often prompting further clinical evaluation. Despite this, the integration of imaging-derived biomarkers into structured risk stratification pathways and longitudinal disease management remains inconsistent in clinical practice. This narrative review outlines the role of multiparametric magnetic resonance imaging (MRI) in the assessment of MASLD, focusing on clinically actionable applications for abdominal radiology. Quantitative MRI biomarkers — including proton density fat fraction (MRI-PDFF), magnetic resonance elastography (MRE), R2* iron quantification, and gadoxetic acid–enhanced MRI — provide complementary information for evaluation of steatosis, fibrosis, iron overload, hepatocellular function, and focal liver lesions. The contribution of multiparametric MRI to opportunistic disease detection, identification of clinically significant fibrosis, and longitudinal monitoring of disease progression and therapeutic response is summarized. Key imaging pitfalls in steatotic livers are addressed, including altered lesion conspicuity, heterogeneous fat and stiffness distribution, focal stiffness abnormalities, and diagnostic challenges related to hepatocellular carcinoma in non-cirrhotic MASLD. Multiparametric MRI enables comprehensive, noninvasive, whole-liver evaluation of MASLD and supports imaging-informed risk stratification and longitudinal disease management in abdominal radiology practice.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 10","pages":"4997 - 5011"},"PeriodicalIF":2.3,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147694645","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":"CT imaging features as predictors of homologous recombination deficiency and prognosis in high-grade serous ovarian cancer","authors":"Seii Kojo,&nbsp;Akiyo Takada,&nbsp;Hajime Yokota,&nbsp;Satoyo Otsuka,&nbsp;Ayumu Matsuoka,&nbsp;Kyoko Nishikimi,&nbsp;Shinichi Tate,&nbsp;Hiroki Yoshida,&nbsp;Haruto Sugawara,&nbsp;Sakie Namba,&nbsp;Takuro Horikoshi,&nbsp;Katsuhiro Nasu,&nbsp;Takashi Uno","doi":"10.1007/s00261-026-05459-4","DOIUrl":"10.1007/s00261-026-05459-4","url":null,"abstract":"<div><h3>Purpose</h3><p>To investigate the association between preoperative CT imaging features and homologous recombination deficiency (HRD) status in patients with high-grade serous ovarian cancer (HGSOC), and to assess their prognostic implications.</p><h3>Methods</h3><p>This retrospective study included 125 patients with stage III–IV HGSOC who underwent preoperative contrast-enhanced CT and BRCA/HRD testing. CT features, including the morphology of ovarian lesions and the location or characteristics of peritoneal dissemination, were evaluated by radiologists who were blinded to the genetic status. Associations between CT features and BRCA/HRD status were evaluated using logistic regression. Kaplan–Meier analysis and multivariate Cox regression were used to evaluate associations with progression-free survival (PFS).</p><h3>Results</h3><p>Out of 125 patients (mean age, 62.5 +/− 10.7 years [standard deviation]), 75 patients were HRD-positive. HRD-positive status was significantly associated with a nodular PD pattern and absence of small bowel mesenteric involvement. A combined CT feature-based classification incorporating these two features yielded a sensitivity of 40.0%, specificity of 88.0%, and accuracy of 68.8% for predicting HRD positivity. This classification was also significantly associated with PFS (<i>p</i> = 0.022). In contrast, no significant association was observed between PD pattern and BRCA mutation status. Upper abdominal dissemination was more frequent in BRCA wild-type cases.</p><h3>Conclusion</h3><p>CT imaging features were associated with HRD status and prognosis in HGSOC, and the proposed CT-based classification showed fair discriminatory performance.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 10","pages":"5240 - 5250"},"PeriodicalIF":2.3,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00261-026-05459-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147694624","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":"Correction to: 68Ga‑DOTA‑FAPI‑04 and 18F‑FDG PET/CT: a head‑to‑head comparison for peritoneal carcinomatosis diagnostic accuracy","authors":"Xiaolin Chen,&nbsp;Xiao Pang,&nbsp;Yan Zhao,&nbsp;Yunuan Liu,&nbsp;Fenglian Jing,&nbsp;Huiqing Yuan,&nbsp;Xiaoshan Chen,&nbsp;Tianyue Li,&nbsp;Yingchen Wang,&nbsp;Yali Liu,&nbsp;Jingya Han,&nbsp;Jingmian Zhang,&nbsp;Jianfang Wang,&nbsp;Zhaoqi Zhang,&nbsp;Xinming Zhao","doi":"10.1007/s00261-026-05478-1","DOIUrl":"10.1007/s00261-026-05478-1","url":null,"abstract":"","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"51 10","pages":"5335 - 5335"},"PeriodicalIF":2.3,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680091","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}