Abdominal radiology (New York)最新文献

{"title":"Photon-counting detector CT for follow-up after TACE in hepatocellular carcinoma: effects of reconstruction kernel and sharpness.","authors":"Meng Yuan, Dandan Wang, Zhongxing Shi, Zhongqi Sun, Yingzhu Zhao, Tiancai Yan, Yu Yuan, Zheng Xu, Huijie Jiang","doi":"10.1007/s00261-026-05810-9","DOIUrl":"https://doi.org/10.1007/s00261-026-05810-9","url":null,"abstract":"<p><strong>Purpose: </strong>To compare the performance of different reconstruction kernels and sharpness levels in photon-counting detector CT (PCD-CT) for post-transarterial chemoembolization (TACE) imaging of hepatocellular carcinoma (HCC), with particular emphasis on residual viable tumor conspicuity, and to identify reconstruction settings that may improve clinical follow-up assessment.</p><p><strong>Methods: </strong>In this retrospective study, 72 patients with HCC undergoing TACE were included. Triple-phase contrast-enhanced CT images were reconstructed using body regular (Br) and quantitative regular (Qr) kernels at four different sharpness levels (36, 40, 44, and 48). Quantitative analysis included image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and edge sharpness. Subjective image quality was assessed by two readers using a 5-point Likert scale.</p><p><strong>Results: </strong>Increasing kernel sharpness significantly increased image noise and decreased SNR and CNR across all contrast-enhanced phases (e.g., arterial phase, Br kernel, noise 16.8 ± 2.1 to 36.1 ± 4.2; CNR_VT-L, median 2.4 [IQR: 1.3-4.2] to 1.2 [IQR: 0.6-1.9]). At matched sharpness levels, Qr kernels exhibited slightly lower image noise and higher viable tumor SNR than Br kernels, particularly at low-to-moderate sharpness. Edge sharpness improved with increasing kernel sharpness for both Br and Qr, with Br demonstrating higher edge clarity for viable tumor-lipiodol deposition. Subjective assessment showed very good inter-reader agreement (κ = 0.81-0.95). Overall image quality decreased with higher kernel sharpness, whereas task-specific evaluations revealed kernel-dependent differences: Br44 provided superior vessel and viable tumor-lipiodol visualization, while Qr40 achieved better residual viable tumor clarity.</p><p><strong>Conclusion: </strong>Reconstruction kernel type and sharpness level significantly influence quantitative and subjective image quality in post-TACE PCD-CT of HCC. Optimized reconstruction kernel and sharpness settings may improve residual viable tumor conspicuity and facilitate lesion assessment.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149122501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging of mass-forming intrahepatic cholangiocarcinoma: from detection to personalized treatments.","authors":"Cesare Maino, Paolo Niccolò Franco, Antonio Vizzuso, Maria Vittoria Bazzocchi, Francesco Cortese, Giuseppe Di Giovanni, Davide Ippolito, Matteo Renzulli, Riccardo Inchingolo","doi":"10.1007/s00261-026-05773-x","DOIUrl":"https://doi.org/10.1007/s00261-026-05773-x","url":null,"abstract":"<p><p>Mass-forming intrahepatic cholangiocarcinoma (MF-iCCA) represents the most frequent phenotype of intrahepatic CCA in Europe, yet its insidious clinical onset and tendency toward late presentation translate into a poor prognosis, with only 20-30% of patients eligible for curative resection. In this context, imaging plays a pivotal role, spanning from initial lesion detection and characterization to staging, treatment selection, and response assessment. Contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) constitute the backbone of diagnostic workup, with complementary strengths: CT offers superior spatial resolution for vascular assessment, while MRI, enhanced by diffusion-weighted imaging (DWI) and hepato-biliary phase sequences, provides higher sensitivity for intrahepatic staging and tumor delineation. Contrast-enhanced ultrasound (CEUS) serves as a valuable adjunct for differential diagnosis. Accurate resectability assessment requires careful evaluation of vascular involvement, future liver remnant (FLR) volume, and metastatic spread, with 18 F-FDG-PET playing an incremental role in nodal staging. In the era of personalized therapy, including chemo-immunotherapy, targeted agents, and locoregional treatments, functional response criteria beyond RECIST 1.1 are increasingly essential. A thorough knowledge of expected post-treatment imaging appearances is critical to avoid misclassification of treatment effects as disease progression. This narrative review aims to provide a comprehensive, imaging-focused overview of MF-iCCA, covering its radiological features and differential diagnosis, the role of imaging in staging and resectability assessment, imaging-based criteria guiding personalized treatment selection, and expected post-treatment imaging findings.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149122417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Interventional management of acute mesenteric venous thrombosis: a systematic review of current evidence, emerging techniques and future perspectives.","authors":"Michael Köhler, Ziad Maksoud, Gala Nacul Mora, Gesa Helen Pöhler","doi":"10.1007/s00261-026-05806-5","DOIUrl":"https://doi.org/10.1007/s00261-026-05806-5","url":null,"abstract":"","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149121788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lateral pelvic lymph nodes in rectal cancer: a narrative review.","authors":"Daniel Linhares Cardoso, Cesar Gabriel Rocha da Costa Paloschi, Emanuela Mendes Junqueira de Barros, Anna Gabriela Dos Santos Souza, João Miranda, Zhaohui Jin, Yasamin Sharifzadeh, Ryan W Kendziora, Eric J Dozois, Natally Horvat","doi":"10.1007/s00261-026-05805-6","DOIUrl":"https://doi.org/10.1007/s00261-026-05805-6","url":null,"abstract":"<p><p>Lateral pelvic lymph node (LPLN) involvement represents a critical determinant of oncologic outcomes in rectal cancer, directly influencing the risks of local recurrence, distant metastasis, and overall survival. High-resolution rectal magnetic resonance imaging (MRI) is the modality of choice for both initial staging and post-treatment restaging. A comprehensive approach integrating nodal size, morphology and primary tumor characteristics and treatment response is indicated for accurate evaluation. The optimal management of LPLNs differs between Eastern and Western practices, although a convergence toward selective, risk-adapted strategies is increasingly recognized. Familiarity with the imaging anatomy of the lateral pelvis and current high-risk criteria are essential for radiologists involved in the multidisciplinary care of rectal cancer patients.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149066980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A rapid automated segmentation method for total kidney volume measurement on unenhanced computed tomography in autosomal dominant polycystic kidney disease.","authors":"Yingying Hu, Tianpei Zhao, Yunpeng Gao, Peiyao Zhang, Tongxi Liu, Yue Lin, Shuya Gao, Tongyin Zhang, Yinghao Xu, Bing Li, Yu Zhang, Sheng Xie, Li Zhou, Hongliang Sun","doi":"10.1007/s00261-026-05799-1","DOIUrl":"https://doi.org/10.1007/s00261-026-05799-1","url":null,"abstract":"<p><strong>Purpose: </strong>To develop and validate a fully automated deep learning-based method for total kidney volume (TKV) measurement from unenhanced computed tomography (CT) images in patients with autosomal dominant polycystic kidney disease (ADPKD).</p><p><strong>Methods: </strong>A fully automated kidney segmentation model based on the nnU-Net framework was developed using unenhanced CT images from 236 patients, including 111 patients with ADPKD. The development dataset was divided into a training cohort and an internal testing cohort. An independent cohort of 70 patients with ADPKD was used for validation, including longitudinal scans from 20 patients. The reference standard consisted of semi-automated kidney segmentation followed by slice-by-slice manual correction performed independently by two experienced radiologists. Automated and reference segmentations were compared using the Dice similarity coefficient (DSC), intraclass correlation coefficient (ICC), linear regression and Bland-Altman analysis.</p><p><strong>Results: </strong>Automated segmentation exhibited excellent spatial agreement with the reference standard, with a mean DSC of 0.96 ± 0.01 for TKV. Volumetric agreement was near perfect (ICC = 0.999; 95% confidence interval, 0.998-0.999), with minimal bias (-0.14%) and high precision (±2.09%). Longitudinal analysis demonstrated robust agreement for kidney growth assessment (ICC = 0.99; bias, - 0.64%; precision, ± 4.81%). The automated method required approximately 5 s per case, compared with 30 min for expert-assisted reference segmentation.</p><p><strong>Conclusion: </strong>This automated segmentation method enables fast, accurate, and reproducible TKV quantification from unenhanced CT images in patients with ADPKD, offering a clinically feasible alternative to manual volumetric analysis.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149067001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic performance of large language models for discrepancy detection in non-English resident-authored abdominal CT and MRI reports: a Turkish-language evaluation.","authors":"Mehmet Ali Ozel, Ibrahim Feyyaz Naldemir, Aslıhan Unal Ozen, Yavuz Selim Zenginbal, Mustafa Dagli","doi":"10.1007/s00261-026-05807-4","DOIUrl":"https://doi.org/10.1007/s00261-026-05807-4","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the diagnostic performance of large language models (LLMs) for detecting clinically meaningful discrepancies in non-English, resident-authored abdominal CT and MRI reports, using Turkish-language reports as a test setting, and to compare the educational quality of model-generated feedback.</p><p><strong>Methods: </strong>This retrospective study included 488 abdominal imaging reports, comprising 317 CT and 171 MRI examinations, each with a resident-authored preliminary report and an attending-approved final report. Two abdominal radiologists established an expert consensus reference standard using both report pairs and corresponding imaging studies. Three LLMs-GPT-5.3, Claude 4.6 Sonnet, and Gemini 3.0 Pro-were prompted to detect and classify discrepancies and generate brief educational feedback. Importantly, models evaluated text-based report pairs without direct image access. Primary outcomes were event-level discrepancy detection sensitivity and false-positive behavior; educational feedback was assessed using a 5-point Likert scale.</p><p><strong>Results: </strong>The reference standard identified 776 clinically meaningful discrepancies in 390 reports; 98 reports were error-free. Event-level sensitivity differed significantly among models (p < 0.001). Claude 4.6 Sonnet achieved the highest overall sensitivity (93.4%), followed by GPT-5.3 (91.9%) and Gemini 3.0 Pro (72.6%). Claude also showed the highest sensitivity for major discrepancies (97.8%) and the lowest false-positive rate (0.6%). Gemini 3.0 Pro achieved the highest educational feedback score (4.60 ± 0.65), followed by GPT-5.3 (4.41 ± 0.68) and Claude 4.6 Sonnet (3.95 ± 0.80; p < 0.001).</p><p><strong>Conclusion: </strong>Under a single structured prompt, LLMs showed model-dependent performance in the text-based comparison of Turkish preliminary and final abdominal radiology reports. These single-center findings do not establish image-based diagnostic accuracy or readiness for autonomous clinical use and require prospective multicenter validation.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149066944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of post-hepatectomy liver failure risk in patients with colorectal cancer liver metastases utilizing gadoxetic acid-enhanced MRI radiomics with automatic segmentation and image registration.","authors":"Qian Xing, Yong Cui, Ming Liu, Hai-Tao Zhu, Xiao-Lei Gu, Xiao-Ting Li, Bao-Cai Xing, Ying-Shi Sun","doi":"10.1007/s00261-026-05801-w","DOIUrl":"https://doi.org/10.1007/s00261-026-05801-w","url":null,"abstract":"<p><strong>Objectives: </strong>To develop and validate a radiomics model based on gadoxetic acidenhanced MRI, which can better reflect the future liver remnant (FLR) and its function through automatic segmentation and image registration, thereby predicting the risk of post-hepatectomy liver failure (PHLF) in patients with colorectal cancer liver metastases (CRLM).</p><p><strong>Methods: </strong>This retrospective study analyzed 134 CRLM patients who were divided into a training group (n = 93) and a validation group (n = 41). Model-_Whole was constructed using the entire liver on preoperative hepatobiliary phase (HBP) obtained by automatic segmentation excluding the region of liver metastases. Model-_FLR was constructed using the FLR on the HBP by registering postoperative CT and preoperative MR. Model-_Clinical was constructed using general characteristics, preoperative data, intraoperative data and imaging parameters by univariate and multivariate analyses. Model-_{Clinical-radiomics} was constructed using the optimal radiomics model and features from clinical model. The models were used to predict low-grade PHLF (without PHLF or PHLF Grade A) and high-grade PHLF (PHLF Grade B or C).</p><p><strong>Results: </strong>There were three and five radiomics features used for constructing Model-_Whole and Model-_FLR. The number of resected lesions and international normalized ratio (INR) were used for constructing Model-_Clinical. The AUC of Model-_{Clinical-radiomics} was 0.912 (95%CI: 0.835-0.961) and 0.896 (95%CI: 0.760-0.969) in the training group and the validation group, higher than that of any other models.</p><p><strong>Conclusion: </strong>Model-_{Clinical-radiomics}, which was based on Model-_FLR, had good efficacy in predicting PHLF.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149067006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic performance of diffusion-weighted imaging with quantitative apparent diffusion coefficient for detecting residual or recurrent hepatocellular carcinoma after TACE: a meta-analysis.","authors":"Xiaoxuan Wang","doi":"10.1007/s00261-026-05753-1","DOIUrl":"https://doi.org/10.1007/s00261-026-05753-1","url":null,"abstract":"<p><strong>Background: </strong>Accurate detection of residual or recurrent hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE) is critical for guiding subsequent management but remains challenging with conventional imaging. Diffusion-weighted imaging (DWI) with quantitative apparent diffusion coefficient (ADC) has emerged as a functional MRI technique that may improve diagnostic accuracy in this setting, though evidence remains heterogeneous.</p><p><strong>Objective: </strong>To assess the diagnostic performance of DWI combined with quantitative ADC for identifying residual or recurrent HCC following TACE.</p><p><strong>Methods: </strong>A literature search of PubMed, Embase, Web of Science, and the Cochrane Library was conducted for studies published up to September 2025. Pooled estimates for sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curve metrics were derived using a bivariate random-effects model to account for anticipated heterogeneity.</p><p><strong>Results: </strong>The meta-analysis included 16 studies, encompassing 818 patients and 971 lesions. The pooled sensitivity was 0.78 (95% CI: 0.70-0.85), and the pooled specificity was 0.83 (95% CI: 0.77-0.87). The pooled PLR was 4.53 (95% CI: 3.28-6.26), the NLR was 0.26 (95% CI: 0.18-0.37), and the DOR was 13.89 (95% CI: 8.46-22.82). The area under the SROC curve was 0.88 (95% CI: 0.85-0.90). Subgroup analysis indicated that the diagnostic accuracy (AUC) was significantly higher in prospective studies compared to retrospective studies.</p><p><strong>Conclusions: </strong>DWI with quantitative ADC demonstrates good overall diagnostic accuracy for detecting residual or recurrent HCC after TACE. The technique offers moderate-to-high specificity but more modest sensitivity, and should currently be considered a complementary adjunct to conventional imaging rather than a standalone replacement.</p><p><strong>Registration: </strong>The review protocol was registered on INPLASY platform (Registration number: INPLASY2025100047).</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149066984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding the image: finding diagnostic signals in multi-modality abdominal artifacts.","authors":"Gabrielle Dickerson, Joseph Chirico, Andreas Loening, Jade J Wong-You-Cheong, Barton Frederick Lane, Florence Xini Doo","doi":"10.1007/s00261-026-05800-x","DOIUrl":"https://doi.org/10.1007/s00261-026-05800-x","url":null,"abstract":"<p><p>Imaging artifacts and related physiologic, pathologic, and iatrogenic phenomena are common across every radiology modality and often provide useful diagnostic information. This pictorial essay introduces a structured, four-category framework for recognizing and interpreting abdominal artifacts and related phenomena (ARPs): (1) the \"Virtual Biopsy,\" encompassing ARPs that aid in characterizing tissue composition and pathology; (2) the \"Flowmeter,\" representing ARPs that provide insight into physiologic or pathologic flow states; (3) the \"Signpost,\" describing ARPs that direct attention toward or mimic the underlying pathology; and (4) the \"Tiebreaker,\" reviewing ARPs that prompt multi-modality correlation or other problem-solving to reach the correct diagnosis. Representative clinical cases illustrate each category across medical imaging modalities. This framework provides a systematic approach to incorporating ARPs into diagnostic reasoning.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149043294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conspicuity and characterization of pre-selected hypodense hepatic lesions in pancreatic cancer patients: limited clinical value of dual-energy portal phase CT.","authors":"Riccardo De Robertis, Silvia Fiorese, Nicolò Cardobi, Laura Logiudice, Calogero Cicero, Mirko D'Onofrio","doi":"10.1007/s00261-026-05802-9","DOIUrl":"https://doi.org/10.1007/s00261-026-05802-9","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the impact of 50-keV virtual monoenergetic images (VMIs) and iodine metrics on conspicuity and characterization of hypodense hepatic lesions in pancreatic ductal adenocarcinoma (PDAC) patients undergoing dual-energy portal phase CT.</p><p><strong>Methods: </strong>Consecutive patients with hypodense hepatic lesions who underwent dual-energy portal phase CT between January and December 2025 were retrospectively identified. Lesions were pre-selected by a resident. Two radiologists independently evaluated blended and 50-keV VMIs for lesion conspicuity and confidence for metastasis using 5-point Likert scales. Contrast-to-noise ratio (CNR) and iodine metrics were calculated. Subjective scores and CNRs were compared using the Wilcoxon test. Diagnostic performance for characterization was assessed using histopathology and/or imaging as the reference standard. Iodine metrics were compared using non-parametric tests. Subgroup analyses included lesions ≤ 10 mm and those in steatotic livers.</p><p><strong>Results: </strong>181 lesions in 86 patients were included (58% metastases). Interobserver agreement was good/very good, except for diagnostic confidence in steatotic livers (k = 0.58/0.48). No differences were found between image sets in subjective conspicuity, diagnostic confidence, or characterization performance. Metastases had higher CNR on 50-keV VMIs than on blended images in the overall cohort (9.9 ± 5.7 vs. 8.5 ± 5.3, p < 0.001) and for lesions ≤ 10 mm (9.5 ± 5.1 vs. 8 ± 4, p = 0.003), but not in steatotic livers. Iodine metrics were higher in metastases than in cysts, with substantial overlap with non-cystic benign lesions.</p><p><strong>Conclusion: </strong>50-keV VMIs improve objective conspicuity but not subjective conspicuity, diagnostic confidence, or characterization performance. Iodine metrics provide complementary information but cannot distinguish metastases from non-cystic benign lesions.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149043262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}