Abdominal radiology (New York)最新文献

{"title":"Photon counting detector CTA for prostate arterial evaluation during the workup for prostate artery embolization.","authors":"Forrest Linch, Prabhakar Rajiah, Michael Jundt, Alison Bashier, Kevin Wymer, Meghan Cooper, Derek Lomas, Andrea Ferrero, Christopher Favazza, Thomas Foley, Eric Williamson, Margot Potts, Jeremy Collins, Scott Thompson","doi":"10.1007/s00261-026-05826-1","DOIUrl":"https://doi.org/10.1007/s00261-026-05826-1","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate small field of view (FOV) ultra-high spatial resolution pelvic photon-counting detector prostate CT angiograms (UHR PCD CTA) for identifying prostate arterial anatomy and extraprostatic anastomoses in patients undergoing workup for prostate artery embolization (PAE).</p><p><strong>Methods: </strong>IRB-approved retrospective imaging and electronic medical record review of men who consecutively underwent UHR PCD CTA for PAE workup at our institution from 8/1/2022 to 12/1/2024. UHR PCD CTAs were evaluated by two vascular and interventional radiologists for main and accessory candidate prostatic arteries (PA/s) and anastomoses to penile, bladder, or rectal arteries. A main PA was defined as supplying the central gland and an accessory PA was defined as supplying the peripheral zone. PAs were categorized using the Carnevale classification. In patients who proceeded to PAE, digital subtraction angiograms (DSA) were retrospectively compared with UHR PCD CTA findings.</p><p><strong>Results: </strong>UHR PCD CTA was obtained prior to PAE consultation for 50 men. We evaluated 100 pelvic sides, identifying 180 candidate PAs with a median of 3 candidate PAs per patient (mean, 3.6; range, 2-7). Overall, 56% (101/180) of candidate PAs were main and 44% (79/180) were accessory. Abridged Carnevale classifications: Type 5-21% (38/180). Eight accessory candidate PAs arose from the superior rectal artery. At least one candidate anastomosis arose from 40% (72/180) of candidate PAs. Of 95 total candidate anastomoses, 69 were extraprostatic (30 rectal, 20 bladder, 19 penile) and 26 were intraprostatic collaterals; 56% (53/95) arose from accessory and 44% (42/95) from main candidate PAs. Twenty-eight of 50 (56%) men underwent PAE, during which 72% (74/103) of available candidate PAs were selected, and prostatic supply was confirmed by DSA in 100% (74/74) of selected vessels.</p><p><strong>Conclusion: </strong>Small FOV UHR PCD CTA is useful in identifying candidate PA supply, as well as potential extraprostatic anastomoses, providing an arterial roadmap for PAE planning. Candidate PA supply was confirmed by DSA in all selected vessels among patients who proceeded to PAE.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217798","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":"Radiological lymphoceles and clinically relevant lymphatic complications after retroperitoneal lymph node dissection for testicular cancer: a longitudinal imaging study.","authors":"Sebastian Lenart, Hamed Wafa, Ute Pichler, Friedrich Aigner, Leonhard Gruber, Alexander Hoeller, Gerald Klinglmair, Reinhard Peschel, Clemens Mikulits, Irene Resch, Renate Pichler","doi":"10.1007/s00261-026-05840-3","DOIUrl":"https://doi.org/10.1007/s00261-026-05840-3","url":null,"abstract":"<p><strong>Purpose: </strong>Postoperative lymphoceles are recognized complications of retroperitoneal lymph node dissection (RPLND) for testicular germ cell tumours (TGCT). Previous studies have predominantly reported symptomatic or intervention-requiring lymphoceles, whereas the incidence, temporal evolution, and clinical relevance of lymphoceles on postoperative imaging remain poorly defined. We evaluated radiologically detected lymphoceles and clinically relevant lymphatic complications after post-chemotherapy RPLND (PC-RPLND) using routine serial imaging.</p><p><strong>Methods: </strong>This retrospective single-centre cohort study included 86 consecutive patients who underwent PC-RPLND under a standardized perioperative management protocol. Postoperative imaging consisted of ultrasound at postoperative day 5-7 and 3-4 weeks, followed by computed tomography at 3 and 12 months. The primary endpoint was the incidence of any imaging-detected lymphocele during follow-up. Secondary endpoints included lymphocele prevalence at each imaging time point, clinically relevant lymphatic complications, postoperative complications, and exploratory factors associated with lymphocele formation.</p><p><strong>Results: </strong>Of 86 included patients, 85 were evaluable for the primary endpoint. Overall, 46 patients (54.1%) had at least one imaging-detected lymphocele during follow-up. Lymphoceles were most frequently detected at discharge (36/84, 42.9%) and decreased over time to 32.8% (19/58) at 3-4 weeks, 31.5% (17/54) at 3 months, and 15.8% (9/57) at 12 months. Clinical follow-up was available for 65 patients. Clinically relevant lymphatic complications occurred in only 3 patients (4.6%), comprising two cases of lymphatic/chylous ascites and one lymphatic fistula associated with a small precaval lymphocele. Among 49 patients with paired 3- and 12-month CT, 10 of 16 lymphoceles present at 3 months had resolved by 12 months, whereas only one was newly detected (exact McNemar p = .012). Exploratory analyses identified no significant associations between imaging-detected lymphocele formation and patient characteristics, tumour-related factors, surgical approach, or extent of lymphadenectomy.</p><p><strong>Conclusions: </strong>Lymphoceles are frequently detected by routine serial imaging after PC-RPLND but rarely translate into clinically relevant lymphatic morbidity. Radiologically detected lymphoceles should therefore be distinguished from clinically relevant lymphatic complications when interpreting surveillance imaging, counselling patients, and reporting postoperative outcomes after RPLND.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217973","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":"Photon-counting computed tomography and magnetic resonance imaging in rectal cancer: reassessment of normalized iodine concentration and apparent diffusion coefficient in an expanded cohort.","authors":"Saher Saeed, Iram Shahzadi, Julius Henning Niehoff, Julian Schreck, Maria Sophie Katz, Maximillian Miller, Christoph Moenninghoff, Jan Robert Kroeger, Jan Borggrefe, Alexey Surov","doi":"10.1007/s00261-026-05831-4","DOIUrl":"https://doi.org/10.1007/s00261-026-05831-4","url":null,"abstract":"<p><strong>Objectives: </strong>To reassess pretreatment photon-counting computed tomography (PCCT)-derived normalized iodine concentration (NIC) in an expanded rectal-cancer cohort, using magnetic resonance imaging (MRI)-derived apparent diffusion coefficient (ADC) as a within-cohort reference marker for histopathologic treatment response.</p><p><strong>Methods: </strong>This single-center retrospective study included 63 patients with rectal adenocarcinoma who underwent pretreatment pelvic MRI and contrast-enhanced PCCT, followed by neoadjuvant treatment and surgical resection. Dworak tumor regression grades 0-1 were classified as poor response (n = 22) and grades 2-4 as moderate/good response (n = 41). MRI and PCCT were performed a median of 3 days apart (IQR, 1-4.5). The previously reported NIC threshold of ≥ 0.36 was reassessed without re-optimization. Twenty-one of 63 patients overlapped with the preceding pilot cohort; therefore, the present study is an expanded reassessment rather than an independent external validation.</p><p><strong>Results: </strong>Twenty-two patients showed poor response and 41 moderate/good response. ADC interobserver agreement was excellent (ICC, 0.959; 95% confidence interval [CI], 0.90-0.98). In the 61 patients with paired numeric NIC measurements from both observers, NIC interobserver agreement was also excellent (ICC, 0.905; bootstrap 95% CI, 0.858-0.936). Mean ADC was lower in poor responders than in moderate/good responders (0.876 ± 0.186 vs. 1.035 ± 0.208 × 10⁻³ mm²/s; p = 0.003; AUC, 0.738; 95% CI, 0.608-0.867). NIC did not differ between groups (median, 0.313 vs. 0.370; p = 0.91; AUC, 0.509; 95% CI, 0.362-0.656). Applying the previously published NIC threshold ≥ 0.36 yielded sensitivity 53.7%, specificity 63.6%, and accuracy 57.1% for Dworak grades 2-4. Adding NIC to ADC did not improve model fit (likelihood-ratio p = 0.601).</p><p><strong>Conclusion: </strong>In this exploratory expanded cohort, lower pretreatment ADC was associated with Dworak grades 0-1. Single-phase portal-venous NIC measured with the described two-dimensional ROI approach did not reproduce the high performance reported in the pilot study and showed no evidence of improved model fit beyond ADC in this cohort. These findings require independent prospective validation.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217920","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":"Deep learning reconstruction in prostate MRI: technical principles, clinical applications, and future directions.","authors":"Mandeep Singh Virk, Naveen Rajamohan, Barun Bagga, Angela Tong","doi":"10.1007/s00261-026-05827-0","DOIUrl":"https://doi.org/10.1007/s00261-026-05827-0","url":null,"abstract":"<p><p>Multiparametric magnetic resonance imaging (mpMRI) has become integral to the detection, localization, risk stratification, and management of prostate cancer. Increasing utilization of prostate MRI in screening, active surveillance, targeted biopsy guidance, and treatment planning has amplified the demand for faster imaging protocols while maintaining high diagnostic quality. Conventional MRI acceleration strategies, including parallel imaging and compressed sensing, improve acquisition efficiency but remain limited by trade-offs involving signal-to-noise ratio (SNR), image sharpness, artifacts, and reconstruction complexity. Deep learning reconstruction (DLR) has emerged as a promising artificial intelligence-based approach for MRI acceleration and image enhancement. Unlike traditional reconstruction methods that rely primarily on predefined mathematical models, DLR uses neural networks to learn image priors and reconstruction features from MRI data. Published studies suggest that DLR may enable accelerated acquisitions while maintaining or, in some settings, improving image quality through denoising, artifact reduction, and improved spatial resolution and lesion conspicuity. However, these effects vary according to the reconstruction algorithm, sequence, acceleration factor, and clinical setting. Variational networks combine physics-based MRI constraints with learned regularization and represent an important framework for DLR. In prostate MRI, available studies have reported substantial reductions in acquisition time for T2-weighted and diffusion-weighted imaging while generally maintaining perceived image quality. Reported benefits include improved lesion conspicuity, reader confidence, and delineation of anatomic structures. Current evidence suggests that DLR generally preserves PI-RADS assessment and diagnostic performance rather than systematically altering lesion categorization; however, evidence demonstrating improvements in diagnostic accuracy or clinical outcomes remains limited. Important limitations include vendor and algorithm dependence, potential reconstruction artifacts, variability in quantitative imaging metrics, limited multicenter validation, and uncertain generalizability across scanners, protocols, and clinical settings. This review summarizes the technical principles underlying DLR, discusses current clinical applications in prostate MRI, highlights representative studies and workflow implications, reviews limitations, and outlines future directions for this rapidly evolving technology.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208394","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":"Test order, timing, and multidisciplinary review predict management change in sequential fluoroscopic and MR defecography.","authors":"Renata R Almeida, Christine Boatright, Aleksandra Stankiewicz","doi":"10.1007/s00261-026-05797-3","DOIUrl":"https://doi.org/10.1007/s00261-026-05797-3","url":null,"abstract":"<p><strong>Purpose: </strong>To determine whether sequential fluoroscopic defecography (FLD) and MR defecography (MRD) change clinical management of patients with pelvic floor dysfunction and to identify factors associated with management change.</p><p><strong>Methods: </strong>Multi-institutional retrospective study including adults who underwent both FL and MR defecography within 3 years, without interval surgery. Primary outcome was management change attributed to the second examination. Clinical information, test order & timing, multidisciplinary review, and imaging variables were compared between patients with and without management change. Univariate analyses were performed overall and by first-modality subgroup. Multivariable logistic regression was performed in the overall cohort.</p><p><strong>Results: </strong>Of 46 patients, 24 underwent FLD first and 22 underwent MRD first. Management changed after second examination in 23.9% (11/46). FLD-first order (adjusted OR, 72.70; 95% CI, 2.77-1909.81; p = 0.010), shorter interval between examinations (adjusted OR per 30 days, 0.74; 95% CI, 0.68-1.00; p = 0.038), and wider MR resting anorectal angle (adjusted OR per degree, 1.10; 95% CI, 1.02-1.20; p = 0.016) were independent predictors of management change. MRD after FLD showed more frequent new second-test abnormalities than FLD after MRD (16/24 [66.7%] vs. 5/22 [22.7%], p = 0.0037), particularly new cystocele detection (41.7% vs. 0%, p = 0.0006). In the FLD-first subgroup, multidisciplinary review was associated with management change (5/5 [100%] vs. 5/19 [26.3%], p = 0.0059).</p><p><strong>Conclusion: </strong>Sequential multimodality defecography changed management in approximately one-quarter of patients. Its value was greatest when MRD followed FLD, especially when examinations were performed closely together. MRD after FLD detected a higher frequency of second-test abnormalities, particularly cystocele. The association between multidisciplinary review and management change suggests that the clinical impact of sequential defecography depends not only on the added imaging findings but also on how they are integrated into treatment planning.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149198457","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":"Deep learning reconstruction and dual-energy CT in hepatocellular carcinoma: considerations for clinical translation.","authors":"Sumayyah Muhammad","doi":"10.1007/s00261-026-05823-4","DOIUrl":"https://doi.org/10.1007/s00261-026-05823-4","url":null,"abstract":"","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149187466","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":"Machine learning-assisted monitoring of radiofrequency ablation in hepatic tumors using spectral traces.","authors":"Ramy Abdlaty, Mohamed Basyouny, Mohamed Abbass","doi":"10.1007/s00261-026-05791-9","DOIUrl":"https://doi.org/10.1007/s00261-026-05791-9","url":null,"abstract":"<p><strong>Purpose: </strong>Accurate intraoperative assessment of radiofrequency ablation (RFA) margins in hepatic malignancies remains a significant clinical challenge.</p><p><strong>Methods: </strong>This study investigates the efficacy of hyperspectral imaging (HSI) for objective, spatially resolved discrimination of ablated tissue, viable tumor, and normal parenchyma in 10 ex vivo liver specimens. Analysis of visible-near-infrared (VNIR) reflectance revealed distinct spectral signatures, characterized by a consistent monotonic hierarchy (ablated < normal < tumor), enabling reliable tissue differentiation. Segmentation performance was systematically evaluated using four supervised classifiers: Spectral Angle Mapper (SAM), Support Vector Machine (SVM), Random Forest (RF), and Linear Discriminant Analysis (LDA). The total delineated tissue area exhibited notable inter-method variability, ranging from 137,283 to 189,289 pixels (+ 37.9%), underscoring sensitivity to classifier architecture.</p><p><strong>Results: </strong>Nevertheless, all approaches maintained biologically coherent tissue distributions, with normal parenchyma predominating (44-56%), followed by tumor (25-39%) and ablated regions (17-20%). That is consistently indicating the necessity for monitoring ablative margins. SAM, SVM, and LDA classifiers achieved class-specific detection errors around 3.5% and 18%. LDA attained the highest overall accuracy (94.5%), demonstrating the potential of HSI for reliable, intraoperative image-guided tissue characterization. Dimensionality reduction across 462 spectral bands identified an optimal discriminative window within 643-698 nm, supporting the development of streamlined multispectral systems.</p><p><strong>Conclusion: </strong>Overall, HSI is neither a contact nor destructive modality for quantitative RFA assessment. Despite classifier-dependent variability necessitating standardized or ensemble strategies, these findings support its prospective integration into real-time surgical guidance, pending in vivo validation.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149187417","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":"Predicting advanced-stage recurrence in resected hepatocellular carcinoma using preoperative gadoxetic acid-enhanced MRI radiomics.","authors":"Jun Gu Kang, Kyunghwa Han, Leeha Ryu, Dasom Kim, Hyungjin Rhee, Jin-Young Choi","doi":"10.1007/s00261-026-05816-3","DOIUrl":"https://doi.org/10.1007/s00261-026-05816-3","url":null,"abstract":"<p><strong>Objectives: </strong>To develop and validate a preoperative gadoxetic acid-enhanced MRI-based radiomics model for predicting the time to advanced-stage recurrence in patients undergoing resection for hepatocellular carcinoma (HCC).</p><p><strong>Materials and methods: </strong>This retrospective single-center study included patients with Barcelona Clinic Liver Cancer (BCLC) stage 0/A HCC who underwent resection between 2009 and 2014. Patients were temporally divided into training (n = 272; 2009-2011) and validation (n = 210; 2012-2014) cohorts. Time to advanced-stage recurrence was defined as the interval from resection to macrovascular invasion and/or extrahepatic metastasis. Two radiologists segmented tumors on hepatobiliary phase images, followed by 3-mm peritumoral expansion and propagation to co-registered dynamic T1- and T2-weighted images. After extraction of Image Biomarker Standardization Initiative-compliant features, a radiomics model was developed using least absolute shrinkage and selection operator (LASSO)-Cox regression. Model performance and inter-reader reproducibility of binary risk stratification were evaluated using the concordance index (C-index) and Cohen's kappa, respectively.</p><p><strong>Results: </strong>Five-year advanced-stage recurrence occurred in 15% of the training (42/272) and validation (32/210) cohorts. In the validation cohort, the radiomics model yielded a C-index of 0.716 (95% CI, 0.631-0.801). This outperformed the preoperative BCLC (0.597; 95% CI 0.551-0.644) and Hong Kong Liver Cancer (0.594; 95% CI 0.516-0.672) staging systems, and was equivalent to the postoperative clinicopathological model (0.716; 95% CI 0.626-0.807). Radiomic-based risk stratification showed good inter-reader reproducibility (kappa = 0.757).</p><p><strong>Conclusion: </strong>The preoperative radiomics model outperformed staging systems and was comparable to the postoperative clinicopathological model in predicting advanced-stage recurrence, relying entirely on noninvasive data.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149187573","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":"Limited incremental value and cross-cohort transferability of CT radiomics for survival prediction after TACE in hepatocellular carcinoma.","authors":"Krzysztof Bartnik, Belgutei Tsevegmed","doi":"10.1007/s00261-026-05830-5","DOIUrl":"https://doi.org/10.1007/s00261-026-05830-5","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate whether pretreatment CT radiomics adds information for overall survival (OS) prediction among patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE), and assess frozen imaging-model performance in an independent cohort.</p><p><strong>Methods: </strong>This retrospective study included 221 WAW-TACE and 98 HCC-TACE-SEG patients with pretreatment arterial and portal venous CT. Incremental value of a tumor-radiomics Random Survival Forest score (R1) beyond cohort-specific clinical Cox models (C0) was evaluated within each cohort using 5-fold cross-validation repeated 10 times. External validation was restricted to frozen WAW-trained R1 models (Top-K = 5, 10, 15) applied to HCC-TACE-SEG without refitting; the combined C0 + R1 model was not externally validated.</p><p><strong>Results: </strong>WAW-TACE included 162 deaths and HCC-TACE-SEG 86 deaths. In WAW-TACE, C0, R1 Top-K = 15, and C0 + R1 achieved C-indices of 0.646 ± 0.043, 0.593 ± 0.049, and 0.639 ± 0.045, respectively. Corresponding HCC-TACE-SEG estimates were 0.496 ± 0.087, 0.530 ± 0.072, and 0.495 ± 0.094. Thus, R1 did not consistently improve cohort-specific clinical reference models. In frozen external application, Top-K = 5, 10, and 15 achieved C-indices of 0.463 (95% CI 0.397-0.532), 0.535 (0.468-0.608), and 0.528 (0.460-0.598), respectively.</p><p><strong>Conclusion: </strong>The evaluated models showed no consistent incremental value for OS prediction within these TACE cohorts and limited frozen-model discrimination in the clinically distinct HCC-TACE-SEG cohort. These findings do not support clinical use of these models or establish a general limitation of CT radiomics.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149187431","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":"Associations between tissue stiffness, tumor response to transarterial chemoembolization and prognosis in hepatocellular carcinoma: insights from multifrequency 3D-magnetic resonance elastography.","authors":"Jie Chen, Zhen Zhang, Zheng Ye, Yali Qu, Liping Deng, Yuan Yuan, Guoyong Chen, Hehan Tang, Bin Song","doi":"10.1007/s00261-026-05828-z","DOIUrl":"https://doi.org/10.1007/s00261-026-05828-z","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the correlation between tissue stiffness, as measured across various target tissues using multifrequency three-dimensional magnetic resonance elastography (3D-MRE), and tumor responses to transarterial chemoembolization (TACE), as well as post-treatment prognosis in patients with hepatocellular carcinoma (HCC).</p><p><strong>Methods: </strong>HCC patients scheduled for TACE treatment were prospectively recruited and received multifrequency 3D-MRE before the initiation of TACE procedure. Measurements of tumor stiffness (TS), liver stiffness (LS), and spleen stiffness (SS) were conducted at frequencies of 60 Hz and 30 Hz, respectively. Treatment response was assessed using the mRECIST. Patient follow-up was conducted to evaluate overall survival outcomes.</p><p><strong>Results: </strong>The final patient cohort consisted of 43 patients (mean age: 56.66±10.13 years; 34 males), including 16 non-responders and 27 responders. Non-responders exhibited significantly elevated TS (4.10±2.54 vs. 2.68±1.61kPa, p=0.035), LS (2.88±1.43 vs. 1.97±0.59kPa, p=0.026), and SS (4.03±0.90 vs. 3.13±1.08kPa, p=0.008) at the frequency of 30Hz. Firth's penalized univariable logistic analysis identified age (adjusted odds ratio [OR]=0.93, P=0.036), tumor number (OR=0.69, P=0.035), LS at 60Hz (OR=0.79, p=0.046), TS at 30Hz (OR=0.73, p=0.037), LS at 30Hz (OR=0.44, p=0.008), and SS at 30Hz (OR=0.44, P=0.009) as potential predictors of treatment response. The area under the receiver operating characteristic curve for predicting treatment response was 0.69 for age, tumor number and TS at 30Hz, 0.67 for LS at both 60Hz and 30Hz, and 0.75 for SS at 30Hz. Univariable Cox regression identified TS at both 60Hz (hazard ratio=1.15, p=0.014) and 30Hz (hazard ratio=1.40, p=0.010) as potential predictors of overall survival.</p><p><strong>Conclusion: </strong>Spleen stiffness measured at 30 Hz via 3D-MRE may serve as a potential predictor of treatment response to TACE in HCC patients, whereas tumor stiffness measured at both 60Hz and 30Hz appears to correlate with overall survival. Further research is necessary to validate these preliminary associations.</p>","PeriodicalId":520541,"journal":{"name":"Abdominal radiology (New York)","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172310","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}