European Journal of Radiology最新文献

{"title":"Four-dimensional computed tomography in expiratory central airway collapse: Disrupting diagnostic paradigms","authors":"David Abia-Trujillo ,&nbsp;Alejandra Yu Lee-Mateus ,&nbsp;Justin T. Stowell ,&nbsp;Sushilkumar K. Sonavane ,&nbsp;Rolf A. Grage ,&nbsp;Omran Saifi ,&nbsp;Chanel M. Wood ,&nbsp;Elizabeth M. Johnson ,&nbsp;Patricia J. Mergo ,&nbsp;Gonzalo Labarca ,&nbsp;Sebastian Fernandez-Bussy ,&nbsp;Carlos A. Rojas","doi":"10.1016/j.ejrad.2025.112536","DOIUrl":"10.1016/j.ejrad.2025.112536","url":null,"abstract":"<div><h3>Objective</h3><div>Expiratory central airway collapse (ECAC) is an under-recognized condition, currently diagnosed by the gold standard dynamic bronchoscopy. Several expiratory chest CT protocols have been used for the initial workup of ECAC with variable accuracy. We compared three expiratory chest CT protocols to determine which one holds the closest correlation with dynamic bronchoscopy to detect ECAC.</div></div><div><h3>Materials and Methods</h3><div>We performed a retrospective study of patients who underwent either static end expiratory (SEE), static forced expiratory (SFE), or four-dimensional forced expiratory (4D-FE) CT for the evaluation of ECAC and a confirmatory dynamic bronchoscopy. Chest CT collapsibility index was calculated and compared to the percentage of collapsibility observed during dynamic bronchoscopy using Cohen’s Kappa coefficient and diagnostic accuracy assessment.</div></div><div><h3>Results</h3><div>A total of 96 patients were reviewed (median age: 64 years; median BMI: 32.1 kg/m²; 71 % female). Kappa’s coefficient of agreement was 0.735 (substantial agreement) for the 4D-FE protocol, 0.248 (fair agreement) for the SFE protocol, and 0.187 (slight agreement) for the SEE protocol, with dynamic bronchoscopy. The 4D-FE protocol presented the highest sensitivity for detecting ECAC (92.5 %) and identifying severe disease (65.6 %), and the lowest median radiation exposure (530.0 mGy-cm) among the three imaging protocols.</div></div><div><h3>Conclusion</h3><div>The 4D-FE protocol showed the highest correlation with the gold standard dynamic bronchoscopy for the diagnosis of ECAC and required less radiation exposure than the static expiratory CT protocols.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112536"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145603306","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":"Diagnostic performance of Doppler ultrasound for acute appendicitis: A systematic review and diagnostic test accuracy meta-analysis","authors":"Javier Arredondo Montero ,&nbsp;María Rico-Jiménez","doi":"10.1016/j.ejrad.2025.112538","DOIUrl":"10.1016/j.ejrad.2025.112538","url":null,"abstract":"<div><div>This systematic review and <em>meta</em>-analysis of diagnostic test accuracy evaluated the performance of Doppler ultrasound (DUS) in diagnosing acute appendicitis (AA) and its ability to distinguish complicated appendicitis (CAA) from non-complicated acute appendicitis (NCAA). The review was prospectively registered in PROSPERO (CRD42025641841), and a comprehensive search was conducted across PubMed, Web of Science, Scopus, and Ovid. Twenty-one studies were included. Study quality was assessed using the QUADAS-2 tool. Continuous quantitative parameters were synthesized using random-effects models (REML) while diagnostic performance data were analyzed through hierarchical models. For diagnosing AA, Spectral Doppler (SD) peak systolic velocity (PSV) showed a pooled sensitivity of 94 % [89–97] and specificity of 87 % [71–95], while SD resistive index (RI) showed a pooled sensitivity of 81 % [68–89] and specificity of 88 % [73–95]. Color Doppler (CD) achieved a pooled sensitivity of 82 % [70–90], specificity of 97 % [92–99], and AUC of 0.97 [0.95–0.98], with borderline evidence of small-study effects (Deeks’ test p = 0.08). By contrast, evidence for discriminating CAA from NCAA was limited and heterogeneous, precluding reliable conclusions. DUS—particularly CD and SD—shows high accuracy when the appendix is visualized. Yet, because most studies excluded non-visualized cases, these estimates are inflated by spectrum bias and cannot be generalized to unselected populations. CD’s high specificity (97 %) supports its role as a reliable rule-in tool in selected patients, but its true performance in routine practice remains unknown and requires prospective validation.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112538"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145603323","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":"Deep learning-reconstructed hepatobiliary MRI: Enhancing biliary delineation, lesion margin sharpness, and small lesion detection","authors":"Haoran Dai ,&nbsp;Jili Chen ,&nbsp;Kai Liu ,&nbsp;Ming Zhang ,&nbsp;Caixia Fu ,&nbsp;Dominik Nickel ,&nbsp;Wei Sun ,&nbsp;Bin Feng ,&nbsp;Caizhong Chen ,&nbsp;Chun Yang ,&nbsp;Xuhao Song ,&nbsp;Mengsu Zeng","doi":"10.1016/j.ejrad.2025.112574","DOIUrl":"10.1016/j.ejrad.2025.112574","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the comparative performance of a deep learning-reconstructed T1-weighted volumetric interpolated breath-hold examination (DL VIBE) on hepatobiliary phase MRI against the conventional T1 VIBE in biliary tree visualization, lesion detection, and artifact suppression.</div></div><div><h3>Materials and methods</h3><div>This retrospective study included 94 patients with suspected hepatic lesions (145 lesions, March-May 2025). All underwent gadoxetic acid-enhanced MRI at hepatobiliary phase using DL-VIBE (1.5 mm slice thickness) and conventional VIBE (3.0 mm). Blinded evaluations assessed biliary anatomy, lesion margins, and image quality through quantitative metrics (edge rise distance [ERD], CNR) and qualitative scoring.</div></div><div><h3>Results</h3><div>DL-VIBE demonstrated superior biliary visualization with 163 % higher tertiary duct detection (2.45 vs. 0.93 branches, p &lt; 0.001) and improved continuity scores (2.97 vs. 2.60, p &lt; 0.001). Lesion margins showed significantly improved sharpness (ERD: 0.93 ± 0.50 mm vs. 1.51 ± 0.10 mm; <em>P</em> &lt; 0.001), while lesion detection rates were significantly higher overall (97.2 % vs. 91.0 %; <em>P</em> = 0.005) and particularly for micro lesions (96.3 % vs. 87.6 %; <em>P</em> = 0.004). DL-VIBE reduced image noise (3.82 vs. 2.25, p &lt; 0.001) and suppressed ringing artifacts (3.55 vs. 2.30, p &lt; 0.001) while maintaining bile duct CNR gains (230.50 vs. 135.14, p &lt; 0.001), though with marginally lower texture naturalness (2.85 vs. 3.45, p = 0.001).</div></div><div><h3>Conclusion</h3><div>DL-VIBE improves biliary microanatomy delineation, lesion margin resolution, and small lesion detection in gadoxetic acid-enhanced hepatobiliary MRI, suggesting clinical utility for precision imaging within standard breath-hold durations.</div></div><div><h3>Clinical relevance statement</h3><div>DL-reconstructed 1.5-mm HBP VIBE serves as an improved alternative to conventional 3-mm VIBE, offering enhanced tertiary bile duct visualization and subcentimeter lesion detection for better clinical decision-making.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112574"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622728","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 lung texture analysis for assessing interstitial lung disease in systemic sclerosis: Diagnostic accuracy in photon-counting-detector and conventional energy-integrating-detector CT","authors":"Jasmin Happe ,&nbsp;Cosimo Bruni ,&nbsp;Lisa Jungblut ,&nbsp;Nicholas Landini ,&nbsp;Cecilia Strappa ,&nbsp;Christian Bluethgen ,&nbsp;Muriel Elhai ,&nbsp;Rucsandra Dobrota ,&nbsp;Carina Mihai ,&nbsp;Sinziana Muraru ,&nbsp;Anna-Maria Hoffmann-Vold ,&nbsp;Anna Rita Larici ,&nbsp;Thomas Frauenfelder ,&nbsp;Oliver Distler ,&nbsp;Jonas Kroschke","doi":"10.1016/j.ejrad.2025.112605","DOIUrl":"10.1016/j.ejrad.2025.112605","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the performance of automated Lung Texture Analysis (LTA) in assessing interstitial lung disease (ILD) in systemic sclerosis (SSc) using low-dose photon-counting detector CT (PCD-CT) compared to conventional low-dose energy-integrating detector CT (EID-CT).</div></div><div><h3>Materials and Methods</h3><div>In this study of a prospectively enrolled SSc cohort, a post-hoc analysis on 186 patients (93 PCD-CT, 93 EID-CT), matched by propensity scoring, was performed. Visual ILD assessment by three expert radiologists served as the reference standard. Image quality assessment was performed using Likert-scales by expert radiologists and signal-to-noise ratios (SNR). Quantitative ILD features and extent were extracted using LTA (Imbio, CALIPER-based). Diagnostic accuracy was assessed using ROC-AUC analysis.</div></div><div><h3>Results</h3><div>LTA-based assessment of ILD on PCD-CT demonstrated a higher AUC for detecting ILD presence (AUC = 0.846) compared to EID-CT (AUC = 0.772). PCD-CT also exhibited superior AUCs in identifying specific ILD features, including ground-glass opacities, reticulation, and honeycombing. However, EID-CT showed higher AUCs than PCD-CT in detecting extensive ILD (&gt;20 % lung involvement; AUC = 0.978 vs. 0.842). Despite significantly lower radiation dose, PCD-CT achieved comparable SNR and superior image quality ratings on Likert-scale.</div></div><div><h3>Conclusion</h3><div>Both EID-CT and PCD-CT demonstrated acceptable to excellent AUC values, indicating their strong applicability in ILD assessment. Further, LTA using PCD-CT consistently provided excellent AUCs for detecting individual ILD features in SSc, supporting its clinical utility despite being trained on PCD-CT data. PCD-CT’s enhanced image quality and lower radiation dose make it a promising tool for longitudinal ILD assessment. Further multicenter validation is warranted.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112605"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145767612","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 perfusion imaging parameters with and without symptom progression in mild stroke patients due to large/medium vessel occlusion","authors":"Koichiro Shindo ,&nbsp;Kazutaka Uchida ,&nbsp;Fumihiro Sakakibara ,&nbsp;Manabu Shirakawa ,&nbsp;Yoji Kuramoto ,&nbsp;Shinichi Yoshimura","doi":"10.1016/j.ejrad.2025.112617","DOIUrl":"10.1016/j.ejrad.2025.112617","url":null,"abstract":"<div><h3>Background and purpose</h3><div>The association between stroke progression in mild stroke due to large or medium vessel occlusion and perfusion imaging parameters remain uncertain. This study aimed to identify perfusion imaging parameters that predict progressive and/or disabling stroke after hospitalization.</div></div><div><h3>Materials and methods</h3><div>This retrospective study analyzed 527 consecutive patients with acute large or medium vessel occlusion (April 2019–March 2024) using Rapid processing of Perfusion and Diffusion (RAPID) imaging. Patients with National Institutes of Health Stroke Scale (NIHSS) ≤ 5 and cervical/internal carotid artery or middle cerebral artery occlusion were classified into the progressive/disabling stroke (PD) group (worsening NIHSS ≥ 4 or disabling deficit despite best medical treatment without EVT) or the non-PD group. Patient characteristics and RAPID imaging parameters (relative cerebral blood flow &lt; 30 %; time-to-maximum [Tmax] &gt; 4, &gt;6, &gt;8, and &gt; 10 s; and mismatch volume) were compared. Modified Rankin scale (mRS) 0–2 and 0–1 at 90 days were defined as functional outcomes. Statistical analyses included Student’s <em>t</em>-test, Wilcoxon rank-sum test, and Youden index.</div></div><div><h3>Results</h3><div>Among 37 patients (mean age, 70.6 ± 15.1 years; 64.9 % male), Tmax &gt; 6 s (73 mL vs. 17 mL, p = 0.007) and mismatch volume (73 mL vs. 16 mL, p = 0.005) were significantly higher in the PD group (n = 9) than in the non-PD group (n = 28). Receiver operating characteristic analysis identified 63 mL as the optimal cutoff value for Tmax &gt; 6 s (sensitivity: 0.78, specificity: 0.82, area under the curve [AUC]: 0.80) and mismatch volume (sensitivity: 0.78, specificity: 0.82, AUC: 0.82). The PD group had significantly worse functional outcomes at 90 days than the non-PD group (mRS 0–2: 3/8 [37.5 %] vs. 23/26 [88.5 %], p = 0.009; mRS 0–1: 2/8 [25.0 %] vs. 19/26 [73.1 %], p = 0.03).</div></div><div><h3>Conclusions</h3><div>The prediction of progressive stroke and/or disabling stroke based on perfusion imaging parameters upon admission would allow triage of patients requiring endovascular treatment.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112617"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145780484","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":"Comment on “ Analysis of clinical and imaging characteristics of pseudocirrhosis in breast cancer liver metastasis”","authors":"Antonio Manenti ,&nbsp;Stefania Caramaschi ,&nbsp;Luca Reggiani Bonetti ,&nbsp;Gianrocco Manco","doi":"10.1016/j.ejrad.2025.112563","DOIUrl":"10.1016/j.ejrad.2025.112563","url":null,"abstract":"","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112563"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578560","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":"Robotic navigation-assisted radio-frequency ablation of lung tumors: a pilot study","authors":"Yi Fang ,&nbsp;Milan Sigdel ,&nbsp;Manoj Sigdel ,&nbsp;Madan Sigdel ,&nbsp;Roshan Bhattarai ,&nbsp;Mikias Legesse Gebremedhin ,&nbsp;Zhanguo Sun ,&nbsp;Xinwei Han ,&nbsp;Dechao Jiao","doi":"10.1016/j.ejrad.2026.112655","DOIUrl":"10.1016/j.ejrad.2026.112655","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the feasibility and safety of percutaneous radiofrequency ablation (RFA) of lung tumors under the guidance of robotic navigation system.</div></div><div><h3>Material and methods</h3><div>From January 2022 to December 2023, 62 cases with solitary lung tumors who underwent RFA procedure at our department and were divided into two groups: the robotic navigation assisted puncture (RNAP) group (n = 26) and manual puncture (MP) group (n = 36). Two groups were compared in terms of technical success (TS), puncture scoring (PS), CT scan times, Total procedure time (TPT), puncture time (PT), radiation exposure (RE), complete ablation (CA) rate and local tumor progression rate (LTP) rate.</div></div><div><h3>Results</h3><div>PS, PT, total number of CT scans, and RE showed significance between patients in the RNAP compared to those in the MP group (15/8/2/1 vs. 6/8/18/4, P = <strong>&lt;0.001</strong>; 13.71 min vs. 16.97 mins, P <strong>&lt; 0.01</strong>; 4.57 vs 6.94, P <strong>&lt; 0.01</strong>; 2215.38 vs. 4615 mGy.cm, P <strong>&lt; 0.01</strong>). TS, TPT, major complications, CA rate and LTP rate showed no difference (100 % vs.100 %; 40.52 min vs. 42.53 min; 11.53 % vs. 11.11 %; 88.46 % vs. 86.11 %; 11.53 % % vs. 13.88 %; respectively, and all P &gt; 0.05).</div></div><div><h3>Conclusions</h3><div>Robotic navigation-assisted radiofrequency ablation of lung tumors is a feasible and safe technique. It can minimize needle adjustments, thereby shortening puncture time and reducing radiation exposure for patients.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112655"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145965740","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 biomarkers are key to recognizing fatal breast cancers arising in the major ducts","authors":"László Tabár ,&nbsp;Peter B. Dean ,&nbsp;Tony Hsiu-Hsi Chen ,&nbsp;Wendy Yi-Ying Wu ,&nbsp;Robert A. Smith ,&nbsp;Chen-Yang Hsu ,&nbsp;Amy Ming-Fang Yen","doi":"10.1016/j.ejrad.2025.112564","DOIUrl":"10.1016/j.ejrad.2025.112564","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;The significant decrease in breast cancer deaths achieved by organized mammography screening programs and treatment of breast cancer at an early phase is a remarkable achievement in clinical cancer research. A remaining challenge is to recognize the breast cancers we are still failing to manage effectively, even when women attend screening regularly and receive modern therapeutic regimens. Many of these fatal tumours originate in the major lactiferous ducts through the carcinogenic process of neoductgenesis with the formation of invasive neoducts. The proposed name for these malignancies is ductal adenocarcinoma of the breast (DAB). Using imaging biomarkers correlated with large format histopathology, we sought to identify the DAB subgroups with the highest fatality.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Method&lt;/h3&gt;&lt;div&gt;All histologically proven breast cancer cases (n = 3587) in women of all ages, diagnosed in our Institution from January 2008-June 2022 and followed up through 2023, were prospectively classified into their apparent site of tumour origin using imaging biomarkers mammographic tumour features. These have been correlated with large format histopathology and long-term, patient outcome. Breast cancers originating from the major lactiferous ducts (DAB) formed a subgroup of 570 consecutive cases, which were further subdivided according to their imaging biomarkers. The frequency of occurrence of the combined necrosis producing cases, the combined fluid producing cases and the non-calcified architectural distortion type DAB cases were compared with the death rate within each of these combined subgroups.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;Patients with the necrosis-producing DAB subtypes had a significantly elevated, 4.33-fold risk of breast cancer-specific death (95% CI: 1.73–10.84) compared with the fluid-producing DAB subtypes. Patients with the non-calcified architectural distortion DAB subtype had a non-significant 2.51-fold higher risk (95 % CI: 0.87–7.23 compared with the fluid-producing DAB subtypes. The majority of breast cancer deaths, 51/67 (76 %), were in the 317 women having fragmented casting type calcifications on the mammogram. Biopsied axillary node and distant metastases of some fatal cases revealed structures closely resembling neoducts.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusions&lt;/h3&gt;&lt;div&gt;Perception and recognition of the imaging biomarkers of the DAB subgroups are necessary first steps in controlling these malignancies, since these biomarkers indicate the site of tumour origin and have documented prognostic value. Reliable imaging-histopathologic correlation of these extensive, diffusely invasive malignancies calls for the use of a large section histopathology technique. The duct-like structures of each DAB subgroup are newly formed invasive neoducts produced by the carcinogenic process of neoductgenesis; they are not pre-existing ducts and can metastasize to the lymph nodes and to distant organs. These observations ch","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112564"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145691112","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":"Elevated 18F-FDG uptake in non-metastatic lymph nodes of POLE-mutated endometrial cancer on PET/CT","authors":"Maho Kurihara ,&nbsp;Yu Iwabuchi ,&nbsp;Yoshitake Yamada ,&nbsp;Atsushi Shimizu ,&nbsp;Takuma Yoshimura ,&nbsp;Kensuke Sakai ,&nbsp;Tatsuyuki Chiyoda ,&nbsp;Kohei Nakamura ,&nbsp;Hiroshi Nishihara ,&nbsp;Wataru Yamagami ,&nbsp;Masahiro Jinzaki","doi":"10.1016/j.ejrad.2025.112620","DOIUrl":"10.1016/j.ejrad.2025.112620","url":null,"abstract":"<div><h3>Purpose</h3><div>DNA polymerase epsilon (<em>POLE</em>) exonuclease domain-mutated endometrial cancer (EC) is associated with a favorable prognosis and significant immune cell infiltration. Cancers with significant immune cell infiltration often exhibit higher maximum standardized uptake value (SUVmax) on ¹⁸F-fluorodeoxyglucose (FDG)-positron emission tomography/computed tomography (PET/CT). This study aimed to evaluate the correlation between <em>POLE</em> status and FDG-PET/CT imaging in patients with EC.</div></div><div><h3>Methods</h3><div>This retrospective study enrolled 102 patients (mean age, 56.2 ± 11.8 years) with EC who underwent preoperative FDG-PET/CT between July 2018 and August 2023. Patients were categorized into molecular subtypes based on molecular profiling. SUVmax of the primary tumor and lymph nodes was measured, and correlations with molecular subtypes were examined.</div></div><div><h3>Results</h3><div>The SUVmax in the primary tumor of <em>POLE</em>-mutated ECs was higher than that in non-<em>POLE</em>-mutated ECs (mean ± SD, 13.21 ± 4.78 vs 9.82 ± 3.78; <em>p</em> = 0.001). Multiple regression analysis showed that <em>POLE</em> status was associated with SUVmax in primary tumors (B = 2.30, <em>p</em> = 0.031). The SUVmax in non-metastatic lymph nodes of <em>POLE</em>-mutated ECs was higher than that in non<em>-POLE-</em>mutated ECs (median SUVmax, 1.31 [IQR, 1.05–2.21] vs. 1.06 [IQR, 0.91–1.20]; <em>p</em> = 0.003). Multiple regression analysis revealed that <em>POLE</em> status was the only factor associated with SUVmax in non-metastatic lymph nodes (B = 0.339, p = 0.046), while age, BMI, blood glucose level, histological type, and primary tumor size showed no significant association.</div></div><div><h3>Conclusion</h3><div>Patients with <em>POLE</em>-mutated EC exhibit high SUVmax in primary tumors and also tend to show elevated uptake in non-metastatic lymph nodes.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112620"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145818168","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":"mpMRI-based interpretable machine learning model for predicting castration-resistant prostate cancer risk","authors":"Siang Shen ,&nbsp;Bitian Liu ,&nbsp;Yutong Li ,&nbsp;Yiying Zeng ,&nbsp;Shanshan Ren ,&nbsp;Rui Yin ,&nbsp;Han Ma ,&nbsp;Shen Pan","doi":"10.1016/j.ejrad.2025.112521","DOIUrl":"10.1016/j.ejrad.2025.112521","url":null,"abstract":"<div><h3>Rationale and objectives</h3><div>Androgen deprivation therapy (ADT) efficacy exhibits significant interindividual heterogeneity in advanced prostate cancer (PCa). This study aim to develop and validate a machine learning model based on multiparametric MRI (mpMRI) to predict the risk of Castration-Resistant Prostate Cancer (CRPC) progression in advanced PCa.</div></div><div><h3>Materials and methods</h3><div>In this retrospective study, 180 advanced PCa patients who underwent mpMRI before ADT were collected from two hospitals between January 2014 and October 2024. Radiomic features were selected by using variance threshold, Least Absolute Shrinkage and Selection Operator and recursive feature elimination. Random forest and logistic regression model selected clinical features. We developed eight machine learning classifiers, a stacking ensemble model by integrating the optimally performing classifier. Model performance was evaluated using confusion matrices, accuracy, precision, recall, F1-score, and area under curve (AUC). SHapley Additive exPlanations was employed for both global and local model interpretability. Intergroup differences were analyzed using one-way Analysis of Variance or Kruskal-Wallis tests.</div></div><div><h3>Results</h3><div>180 patients (mean age 72, range 51–90 years) were stratified by the time to CRPC into groups: very high-risk (&lt;1 year, n = 49), high-risk (1–4 years, n = 65) and low-risk (&gt;4 years, n = 66). The mpMRI-clinical combined model performed better than mpMRI-alone model (AUC:0.84;95 %CI:0.73, 0.92).The stacking model further enhanced CRPC prediction, internal test set (AUC: 0.89; 95 %CI:0.81, 0.93) and external test set (0.82; 95 %CI:0.72, 0.89). In low-risk group, stacking model demonstrated the strongest discriminative capability AUC (0.89;95 %CI:0.77, 0.97).</div></div><div><h3>Conclusion</h3><div>The Stacking model demonstrated favorable predictive capability for CRPC progression risk in advanced Pca, facilitating clinically actionable risk-stratified interventions.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112521"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145603343","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}