European Radiology最新文献

{"title":"Letter to the Editor: Magnetic resonance fingerprinting in the quantitative assessment of bone metastases-technical developments and clinical future.","authors":"Ali Kemal Sivrioglu","doi":"10.1007/s00330-026-12621-5","DOIUrl":"10.1007/s00330-026-12621-5","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8483-8484"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147873877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor: Microflow imaging for ultrasound risk stratification of thyroid nodules: potential roles and key considerations.","authors":"Dong Gyu Na","doi":"10.1007/s00330-026-12661-x","DOIUrl":"10.1007/s00330-026-12661-x","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8489-8491"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148149131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply to the Letter to the Editor: Comparison of three algorithms to measure breast density on mammograms in a population-based screening cohort.","authors":"Jim Peters, Daniëlle van der Waal, Carla H van Gils, Mireille J M Broeders","doi":"10.1007/s00330-026-12881-1","DOIUrl":"10.1007/s00330-026-12881-1","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8361-8362"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149001507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor: Bridging the surgical benefit-survival paradox of preoperative MRI in DCIS.","authors":"Runhe Zhou","doi":"10.1007/s00330-026-12919-4","DOIUrl":"10.1007/s00330-026-12919-4","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8407-8408"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148988811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spectral CT-based habitat analysis for predicting pathologic response to neoadjuvant therapy in gastric cancer.","authors":"Yaru You, Mengchen Yuan, Xiaofei Yang, Yusong Chen, Jinjin Dang, Xuejun Chen, Jing Li, Jianbo Gao","doi":"10.1007/s00330-026-12727-w","DOIUrl":"10.1007/s00330-026-12727-w","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the predictive value of habitat imaging based on spectral CT-derived iodine maps (IMs) for pathologic response to neoadjuvant therapy (NAT) in gastric cancer (GC).</p><p><strong>Materials and methods: </strong>This retrospective, two-center study included 151 patients with pathologically confirmed GC who underwent NAT followed by gastrectomy between July 2022 and June 2025. All patients underwent dual-phase, contrast-enhanced, dual-layer spectral CT scans before NAT. Based on tumor regression grade, patients were categorized as responders or non-responders. In venous-phase IMs, tumor voxels in the entire lesion were clustered into distinct habitats using the k-means algorithm. The volume fraction of each habitat and an intratumoral heterogeneity score (ITHscore) were calculated. Univariate analysis and logistic regression analyses determined predictive parameters among clinicopathologic and IM-based variables. A weighted logistic regression model for responders was developed and validated using fivefold cross-validation and an external test set.</p><p><strong>Results: </strong>Among the 151 patients, 54 (35.8%) were responders. Three distinct perfusion habitats (high, middle, and low) were identified. Responders exhibited a higher volume fraction of the low-perfusion habitat and a lower ITHscore (both p < 0.05). By integrating these two metrics, patients were stratified into four perfusion subtypes, with response rates ranging from 75.0% to 17.4% (p < 0.001). The predictive model combining perfusion subtype and Lauren classification achieved an average area under the curve (AUC) of 0.794 (0.751-0.836) in internal cross-validation and 0.782 (0.605-0.909) in the external test set.</p><p><strong>Conclusion: </strong>IM-derived habitat imaging can distinguish distinct perfusion subtypes, suggesting a promising approach for predicting pathologic response to NAT in GC.</p><p><strong>Key points: </strong>Question Accurately predicting the efficacy of neoadjuvant therapy prior to treatment in gastric cancer remains challenging due to the lack of reliable biomarkers. Findings Perfusion subtypes identified through iodine map-based habitat imaging effectively predict tumor regression in gastric cancer following neoadjuvant therapy. Clinical relevance Iodine map-based habitat imaging is a promising biomarker for noninvasively predicting pathologic response to neoadjuvant therapy in patients with gastric cancer, thereby enabling more personalized treatment strategies for this population.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8249-8263"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148387379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APEX-NET: automated pancreatic evaluation network using early non-contrast CT.","authors":"Fang Wang, Zixing Huang, Zhong Xue, Qing Zhou, Qian Li, Yuxi Liu, Jinjie Qin, ShiZe Qin, Yi Wang, Dinggang Shen","doi":"10.1007/s00330-026-12683-5","DOIUrl":"10.1007/s00330-026-12683-5","url":null,"abstract":"<p><strong>Objectives: </strong>To develop and validate APEX-NET for early diagnosis and severity stratification of acute pancreatitis (AP) using non-contrast CT (NCCT), by leveraging contrast-enhanced CT (CECT) feature learning.</p><p><strong>Materials and methods: </strong>This five-center retrospective and prospective study included 3383 patients, comprising AP and Non-AP (abdominal pain patients and healthy individuals) patients. APEX-NET was trained and evaluated to perform pancreas segmentation, AP diagnosis (AP vs Non-AP), and severity prediction (mild, moderately severe, or severe per the revised Atlanta classification) using 3 internal and 2 external cohorts. A feature mapping module was employed to derive simulated CECT features from NCCT based on paired NCCT-CECT feature learning. The model was further evaluated with subgroup analyses, and a reader study was conducted by comparing its performance with six radiologists of varying experiences. Evaluation metrics included the Dice similarity coefficient, area under the receiver operating characteristic curve (AUC), and accuracy.</p><p><strong>Results: </strong>For AP diagnosis, APEX-NET achieved AUCs of 0.949, 0.958, 0.981, and 0.955 in the validation, internal, and two external testing cohorts, respectively. For severity prediction, APEX-NET significantly outperformed the NCCT model (p < 0.05), with macro-average AUCs of 0.873 (validation) and 0.872 (internal testing). The advantage of APEX-NET had been demonstrated in almost all the age, gender, and etiology subgroups. In the reader study, APEX-NET performed comparably to senior radiologists and superior to junior radiologists (p < 0.05).</p><p><strong>Conclusion: </strong>APEX-NET enables accurate NCCT-based diagnosis and early severity stratification of AP, demonstrating strong potential for clinical integration to overcome the inherent delay of CECT-based assessment.</p><p><strong>Key points: </strong>Question The absence of an accurate method for predicting AP severity from early NCCT, the initial diagnostic scan, thus forgoing the critical intervention window. Findings Achieve accurate severity prediction for AP by incorporating contrast-enhanced feature learning. Demonstrate robust performance across diverse demographic groups, etiologies, and imaging parameters. Clinical relevance The APEX-NET, an integrated deep learning framework using NCCT, accelerated the diagnosis and severity stratification of AP, demonstrating performance comparable to senior radiologists and direct potential for clinical workflow integration by reducing reliance on delayed contrast-enhanced scans.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8212-8224"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148351377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply to the Letter to the Editor: Depot corticosteroid injections in tendinopathy-Primum non nocere? Revisiting the risks of intratendinous injection.","authors":"Zachary Elijah Stewart, John Wilson, Kenneth S Lee","doi":"10.1007/s00330-026-12685-3","DOIUrl":"10.1007/s00330-026-12685-3","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8497-8498"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148257946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of three algorithms to measure breast density on mammograms in a population-based screening cohort.","authors":"Jim Peters, Daniëlle van der Waal, Carla H van Gils, Mireille J M Broeders","doi":"10.1007/s00330-026-12681-7","DOIUrl":"10.1007/s00330-026-12681-7","url":null,"abstract":"<p><strong>Objectives: </strong>To compare breast density assessments from three automated algorithms by evaluating their agreement and associations with breast cancer risk in a large screening population.</p><p><strong>Materials and methods: </strong>We included 61,514 women from the Dutch population-based PRISMA screening cohort (2014-2019). Breast density was quantified on one screening mammogram per participant using Volpara Density Grade 4th and 5th edition, Quantra Density Assessment Software, and iCAD Density Assessment. Agreement between categorical outputs was assessed via weighted kappa statistics. Breast cancer cases were identified through linkage with the Netherlands Cancer Registry (follow-up until December 2022). Associations with five-year breast cancer risk were analyzed using Cox proportional hazards models. Discriminative ability was evaluated using the area under the receiver operating characteristic curve (AUC).</p><p><strong>Results: </strong>Good agreement was observed between algorithms (kappa: 0.725-0.826); the strongest across-vendor agreement was between Volpara Density Grade 5th edition and Quantra Density Assessment Software (kappa = 0.795). However, the proportion of women classified with extremely dense breasts (category D) varied (3.1-8.4%). During a median follow-up of 4.2 years, 777 breast cancer cases were identified. Both breast cancer risk and interval cancer risk increased with higher density, with similar magnitudes across algorithms. Categorical measures yielded similar AUCs to distinguish between women with and without breast cancer (0.53-0.55) and between screen-detected and interval cancers (0.57-0.60).</p><p><strong>Conclusion: </strong>Three automated density assessment algorithms show strong agreement and comparable associations with breast cancer risk. However, differences in categorization-particularly the proportions classified as entirely fatty or extremely dense-should be considered in personalized screening strategies, as these may influence the capacity needed for potential supplemental screening.</p><p><strong>Key points: </strong>Question How do three automated breast density measurement algorithms compare in terms of agreement and their association with breast cancer risk in a large screening cohort? Findings The three algorithms showed strong agreement (kappa = 0.725-0.826) and similar associations with breast cancer risk. Proportions of mammograms classified as density categories A or D varied. Clinical relevance The strong agreement and similar associations with breast cancer risk support algorithm interchangeability, but variations in the proportion of mammograms classified as entirely fatty (category A) or extremely dense (category D) may impact capacity requirements for personalized screening.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8347-8358"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661706/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148210664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biological effects of ¹⁸F-FDG administration and CT dose during PET/CT: chromosomal aberrations in a two-center prospective observational study.","authors":"Yuri Kawashima, Yasuha Kinugasa, Mana Ishibashi, Wataru Fukumoto, Yoshihiro Miyata, Reiko Ideguchi, Chiemi Sakai, Mari Ishida, Seiko Hirota, Shinji Yoshinaga, Ikuno Nishibuchi, Yuji Murakami, Gloriamaris Loy-Caraos, Namkhai Bayasgalan, Suvd Bayarjargal, Lin Shi, Jiying Sun, Yasunori Horikoshi, Morihito Okada, Yuko Nakamura, Kazuo Awai, Takashi Kudo, Satoshi Tashiro","doi":"10.1007/s00330-026-12731-0","DOIUrl":"10.1007/s00330-026-12731-0","url":null,"abstract":"<p><strong>Objective: </strong>To assess the radiation effects of internal ¹⁸F-fluorodeoxyglucose (FDG) administration and external CT exposures during PET/CT, using reduced-dose and standard-dose CT protocols, on chromosomes in peripheral blood lymphocytes (PBLs).</p><p><strong>Materials and methods: </strong>This prospective two-center observational study included patients undergoing clinically indicated FDG-PET/CT using different CT dose protocols. Peripheral blood was sampled at three time points: before FDG administration, after FDG administration, and after CT acquisition. Unstable chromosomal aberrations (CAs) in PBLs were quantified at each time point. Non-parametric tests were used for group comparisons, and associations between radiation dose parameters and changes in CAs were evaluated using generalized linear mixed-effects models.</p><p><strong>Results: </strong>A total of 101 consecutive patients were enrolled in the reduced-dose protocol center (Center RD; mean age 70 ± 9 years [standard deviation], 55 men) and 56 patients in the standard-dose protocol center (Center SD; 64 ± 11 years, 31 men). The CA-evaluable population comprised 101 patients in Center RD and 55 patients in Center SD. FDG administration did not significantly increase CAs at either center. Following CT acquisition, no significant increase in CAs was observed with the reduced-dose protocol, whereas CAs increased significantly with the standard-dose protocol (Center SD: p = 0.016).</p><p><strong>Conclusion: </strong>FDG administration had no detectable impact on CAs, whereas CT effective dose was associated with CA frequency after multivariable adjustment, with no evidence of a synergistic interaction with FDG. These findings support CT dose optimization and the use of reduced-dose CT protocols in PET/CT when clinically appropriate.</p><p><strong>Key points: </strong>Question How do internal 18F-fluorodeoxyglucose (FDG) and external CT exposures during PET/CT affect chromosomes, and how do these effects differ between reduced- and standard-dose CT protocols? Findings Chromosomal aberrations increased after standard-dose PET/CT, and CT effective dose, but not FDG effective dose, was independently associated with chromosomal aberration frequency after multivariable adjustment. Clinical relevance CT effective dose was independently associated with chromosomal aberration frequency, while age and prior chemotherapy also influenced CA frequency. This provides biological justification for CT dose optimization and broader use of reduced-dose PET/CT when clinically appropriate.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8264-8276"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148469814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply to the Letter to the Editor: Methodological considerations in assessing patient perspectives on artificial intelligence in symptomatic breast imaging.","authors":"Sneha Singh, Rory Crean, Jessica O'Driscoll, Caitriona Cahir, Hayley Briody, Marie Bambrick, Neasa NiMhuircheartaigh, Niamh Hambly, Deirdre Duke, Maeve Mullooly, Nuala A Healy","doi":"10.1007/s00330-026-12620-6","DOIUrl":"10.1007/s00330-026-12620-6","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8481-8482"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148041708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}