European RadiologyPub Date : 2026-11-01Epub Date: 2026-06-25DOI: 10.1007/s00330-026-12707-0
Woo Sang Jung, Hyeondong Yang, Jin Wook Choi, Yoon Seon Park, Kyeong Rim Yoon, Kwang-Chun Cho
{"title":"Reply to the Letter to the Editor: Correlation between computational fluid dynamics-derived low wall shear stress and vessel wall enhancement on high-resolution MR vessel wall imaging in intracranial aneurysms.","authors":"Woo Sang Jung, Hyeondong Yang, Jin Wook Choi, Yoon Seon Park, Kyeong Rim Yoon, Kwang-Chun Cho","doi":"10.1007/s00330-026-12707-0","DOIUrl":"10.1007/s00330-026-12707-0","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8501-8502"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148316536","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-06-19DOI: 10.1007/s00330-026-12695-1
Raquel Tendero, Andrés Larroza, Francisco Javier Pérez-Benito, Juan Carlos Perez-Cortes, Marta Román, Rafael Llobet
{"title":"Reply to the Letter to the Editor: Breast cancer risk prediction with artificial intelligence-statistical improvement versus clinical impact.","authors":"Raquel Tendero, Andrés Larroza, Francisco Javier Pérez-Benito, Juan Carlos Perez-Cortes, Marta Román, Rafael Llobet","doi":"10.1007/s00330-026-12695-1","DOIUrl":"10.1007/s00330-026-12695-1","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8509-8510"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148276666","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-06-19DOI: 10.1007/s00330-026-12653-x
Andrea Carolina Munive, Maria José Gutierrez Sierra, David Fernando Torres Cortés
{"title":"Letter to the Editor: Implementing ESR Essentials for trauma care-challenges and opportunities from a Latin American perspective.","authors":"Andrea Carolina Munive, Maria José Gutierrez Sierra, David Fernando Torres Cortés","doi":"10.1007/s00330-026-12653-x","DOIUrl":"10.1007/s00330-026-12653-x","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8485-8486"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148276619","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-07-06DOI: 10.1007/s00330-026-12715-0
Yiqiao Yan, Chuan Liu, Hang Fu, Ke Xu, Huayan Xu
{"title":"Efficacy evaluation of artificial intelligence in radiological imaging diagnosis based on randomized controlled trials: a scoping review.","authors":"Yiqiao Yan, Chuan Liu, Hang Fu, Ke Xu, Huayan Xu","doi":"10.1007/s00330-026-12715-0","DOIUrl":"10.1007/s00330-026-12715-0","url":null,"abstract":"<p><strong>Objective: </strong>Artificial intelligence (AI) demonstrates significant potential in medical imaging diagnosis, yet its real-world clinical value requires validation through high-quality randomized controlled trials (RCTs). Existing RCTs report heterogeneous results across settings and outcomes, motivating a scoping review to map current evidence and identify gaps.</p><p><strong>Materials and methods: </strong>This scoping review mapped RCTs published up to March 2026 that evaluated AI tools for imaging-based diagnosis in radiology in clinical settings. We systematically searched PubMed, Embase, and Web of Science, screened studies using predefined eligibility criteria, and extracted study characteristics and outcomes. Risk of bias was assessed using QUADAS-2 and the RoB 2 tool, and findings were synthesized descriptively in line with PRISMA-ScR.</p><p><strong>Results: </strong>By analyzing the included RCTs, AI tools for imaging-based diagnosis in radiology were mainly deployed as clinician-facing decision aids and were generally associated with higher sensitivity or lesion detection rates and shorter image-processing time. However, the benefits were smaller in complex scenarios such as emergency care, and low specificity remained a common limitation.</p><p><strong>Conclusion: </strong>Overall, AI tools for imaging-based diagnosis in radiology are currently used mainly as clinician-facing decision aids and may be most beneficial in standardized tasks, with effects varying across clinical settings. Larger multicenter prospective RCTs with consistent, clinically meaningful endpoints are needed to support robust clinical translation.</p><p><strong>Key points: </strong>Question Is there any high-quality evidence from randomized controlled trials (RCTs) to evaluate the clinical benefits of artificial intelligence (AI) in radiological image diagnosis? Findings Through a review of nine RCTs, AI tools for imaging-based diagnosis tended to raise sensitivity, but gains were smaller in emergency care and specificity often remained low. Clinical relevance As an assistive tool, AI can improve imaging sensitivity and reduce missed diagnoses in standardized scenarios; however, further high-quality RCT evidence is still needed.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8175-8184"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148390400","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-06-03DOI: 10.1007/s00330-026-12657-7
Georgios Agrotis, Erik Thimansson, Ivo G Schoots
{"title":"Reference standards in AI-assisted MRI readings in prostate cancer screening: primetime for benchmarking.","authors":"Georgios Agrotis, Erik Thimansson, Ivo G Schoots","doi":"10.1007/s00330-026-12657-7","DOIUrl":"10.1007/s00330-026-12657-7","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8516-8518"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148149094","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-07-11DOI: 10.1007/s00330-026-12726-x
O D Bijlstra, S van Mossel, B Boekestijn, M C Burgmans, E L van Persijn van Meerten, D D D Rietbergen, S Shahbazi Feshtali, R J Swijnenburg, F H P van Velden, H Koffijberg, L F de Geus-Oei, J S D Mieog
{"title":"Improved detection of local tumor progression after ablation or resection of colorectal liver metastases using [<sup>18</sup>F]FDG-PET/contrast-enhanced CT versus contrast-enhanced CT alone: results from a Dutch prospective cohort.","authors":"O D Bijlstra, S van Mossel, B Boekestijn, M C Burgmans, E L van Persijn van Meerten, D D D Rietbergen, S Shahbazi Feshtali, R J Swijnenburg, F H P van Velden, H Koffijberg, L F de Geus-Oei, J S D Mieog","doi":"10.1007/s00330-026-12726-x","DOIUrl":"10.1007/s00330-026-12726-x","url":null,"abstract":"<p><strong>Objective: </strong>Post-treatment surveillance after locally treated colorectal liver metastases involves CEA measurement and contrast-enhanced CT (CECT) scans. However, reactive tissue around ablated lesions can appear similar to viable tumor tissue on CECT, complicating the detection of local tumor progression (LTP). Therefore, a new imaging protocol was initiated, which incorporates [<sup>18</sup>F]FDG-PET/CT to complement CECT. This study evaluated the diagnostic accuracy of [<sup>18</sup>F]FDG-PET/CECT for early detection of disease progression after resection or thermal ablation, compared to CECT alone.</p><p><strong>Materials and methods: </strong>The study analyzed a prospective cohort of patients undergoing thermal ablation or resection, who received CECT and [<sup>18</sup>F]FDG-PET/CT scans 3-5 months post-treatment. Disease progression was confirmed by histology, consensus during a multidisciplinary team meeting or after extended follow-up. Diagnostic accuracy of [<sup>18</sup>F]FDG-PET/CECT was compared to standard practice (CEA serum levels and CECT).</p><p><strong>Results: </strong>The final analysis included 64 patients with 154 lesions. 37 patients underwent ablation, 14 patients underwent resection, and 13 patients underwent combination therapy, resulting in 93 (60%) lesions being treated with thermal ablation and 61 (40%) lesions with resection. Disease progression was found in 66% of patients, with LTP detected in 25% of treated lesions. Compared to CECT, [<sup>18</sup>F]FDG-PET/CECT had a higher diagnostic accuracy for detecting local progression after thermal ablation (AUC 0.97 vs. 0.73, p = 0.001) and hepatic resection (AUC 0.96 vs. 0.69, p = 0.03), and for detection of extrahepatic disease (AUC 0.91 vs. 0.79, p = 0.03). CEA serum levels had low diagnostic accuracy for detecting disease progression (AUC 0.60).</p><p><strong>Conclusion: </strong>[<sup>18</sup>F]FDG-PET/CECT improves diagnostic accuracy in the early follow-up of patients with locally treated colorectal liver metastases.</p><p><strong>Key points: </strong>Question: Interpreting CECT scans after local treatment of colorectal liver metastases can be challenging because reactive tissue around treated lesions can appear similar to viable tumor tissue.</p><p><strong>Findings: </strong>[<sup>18</sup>F]FDG-PET/CECT improves the diagnostic accuracy of detecting local tumor progression after thermal ablation and resection of colorectal liver metastases.</p><p><strong>Clinical relevance: </strong>[<sup>18</sup>F]FDG-PET/CECT should be considered during follow-up after local treatment of colorectal liver metastases to identify and treat local tumor progression earlier.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8197-8205"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148419803","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-07-01DOI: 10.1007/s00330-026-12706-1
Mohamed A Abdelatty, Aleksandra Stankiewicz, Francesca Maccioni, Rebeca Mirón Mombiela, Basma Amer, Sandra Sousa, Sonya Snape, Carlos Carnelli, Rita Lucas, Geertje Balk-Roos, Andelib Babatürk, Rania F El Sayed
{"title":"ESR Essentials: pelvic floor imaging-practice recommendations by the European Society of Urogenital Radiology.","authors":"Mohamed A Abdelatty, Aleksandra Stankiewicz, Francesca Maccioni, Rebeca Mirón Mombiela, Basma Amer, Sandra Sousa, Sonya Snape, Carlos Carnelli, Rita Lucas, Geertje Balk-Roos, Andelib Babatürk, Rania F El Sayed","doi":"10.1007/s00330-026-12706-1","DOIUrl":"10.1007/s00330-026-12706-1","url":null,"abstract":"<p><p>Pelvic floor dysfunction is a common and underdiagnosed condition affecting urinary, gastrointestinal, and sexual function. Imaging plays a pivotal role in diagnosis and treatment planning, yet approaches to technique, interpretation, and reporting remain inconsistent. This article, authored by members of the ESUR Pelvic Floor Working Group, provides practical recommendations for the use of fluoroscopic defecography, MR defecography, and pelvic floor ultrasound, including standardized protocols, key measurements, and a structured, compartment-based interpretation strategy. We detail the imaging features of anterior, middle, and posterior compartment disorders and highlight common pitfalls. Implementing these recommendations by adopting the suggested protocols and reporting approach in routine practice will help ensure consistent, clinically relevant pelvic floor assessments. KEY POINTS: Pelvic floor dysfunction frequently involves multiple compartments, and MRI provides a detailed structural and functional assessment of all pelvic compartments. Fluoroscopic defecography remains the mainstay for the evaluation of defecatory disorders. Pelvic floor ultrasound is increasingly valuable for triaging pelvic floor dysfunction and for detailed assessment of pelvic floor anatomy and anal sphincter integrity.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8422-8439"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148367348","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":"ESR Essentials: uterine cancers-practice recommendations by the European Society of Urogenital Radiology.","authors":"Roberta Valerieva Ninkova, Silvia Bottazzi, Yulia Lakhman, Benedetta Gui, Stefania Rizzo, Isabelle Thomassin Naggara, Lucia Manganaro, Stephanie Nougaret","doi":"10.1007/s00330-026-12705-2","DOIUrl":"10.1007/s00330-026-12705-2","url":null,"abstract":"<p><p>Uterine cancers include endometrial cancer (EC), cervical cancer (CC), and uterine sarcomas, with leiomyosarcoma being the most common subtype. Each tumour type has distinct biological behaviour, imaging features, and treatment approaches. Radiologists must be familiar with normal uterine anatomy and its variations, as well as key imaging characteristics and common patterns of tumour spread to ensure accurate staging and optimal treatment selection. MRI is the imaging modality of choice for evaluating uterine malignancies due to its excellent soft tissue contrast and multiplanar capabilities. Accurate assessment requires dedicated multiparametric protocols, as recommended by the European Society of Urogenital Radiology (ESUR), including high-resolution T2-weighted imaging, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) sequences when appropriate. 18-Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) complements MRI in patients with CC by providing the highest accuracy for detecting lymph-node and distant metastases. CT is mainly used for systemic evaluation. This article presents a practical guide for radiologists, describing the main clinical indications, patient preparation, and tailored MRI protocols. It also highlights key imaging findings that should be evaluated and reported. KEY POINTS: MRI is the preferred imaging modality for evaluating uterine malignancies due to its superior soft tissue contrast and multiplanar capabilities. Common clinical indications include MRI staging of endometrial and cervical cancers, assessment of eligibility for fertility preservation, and characterisation of indeterminate myometrial lesions. Adherence to established imaging guidelines is strongly recommended to ensure high-quality images as well as complete and clinically relevant radiology reports.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8409-8421"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661753/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148360095","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-06-17DOI: 10.1007/s00330-026-12680-8
Fan Yang, Haoran Wei, Michael Iv, Ya Zhang, Sai Wang, Xiaolu Li, Xiaoduo Yu, Lin Li, Yanfeng Zhao, Dehong Luo, Meng Lin, Hongmei Zhang
{"title":"MRI-based assessment of tumor aggressiveness in nasopharyngeal carcinoma: risk stratification and survival prediction.","authors":"Fan Yang, Haoran Wei, Michael Iv, Ya Zhang, Sai Wang, Xiaolu Li, Xiaoduo Yu, Lin Li, Yanfeng Zhao, Dehong Luo, Meng Lin, Hongmei Zhang","doi":"10.1007/s00330-026-12680-8","DOIUrl":"10.1007/s00330-026-12680-8","url":null,"abstract":"<p><strong>Objectives: </strong>MRI can reveal the signal characteristics and invasive potential of tumors. Our study aimed to explore the potential of MRI-identified primary tumor aggressiveness-related factors in nasopharyngeal carcinoma (NPC).</p><p><strong>Materials and methods: </strong>This study retrospectively included patients with NPC from three institutes, and a prospective cohort was also included. A total of 12 imaging factors were evaluated in each patient. Univariate and multivariable Cox analyses were used to explore its predictive value. The model performance was calculated and compared, and Kaplan-Meier curves were used to compare survival outcomes.</p><p><strong>Results: </strong>This study included 505 patients (mean age, 49.1 years, 384 males; Training cohort: 311; validation cohorts: 74, 68, and 52). Three imaging factors (Radiological depth, Tumor growth type, and Expanded enhancement area) were selected to construct the I-score. The median value of I-score was 8 (interquartile range: 5, 9), and there was no significant difference among the three cohorts (p = 0.866). The performance of the I-score (C-index: 0.693-0.753) was significantly higher than that of the Clinic model (p < 0.05) and TNM stage (p < 0.05). The similar results were found in validation cohorts 1, 2, and 3 (I-score: 0.672-0.752, 0.665-0.719, and 0.676-0.763). The 5-fold cross-validation (iteration = 1000) also showed robust results. The high-risk group identified by I-score had significantly worse survival compared with the low-risk group in four cohorts (all p < 0.05).</p><p><strong>Conclusion: </strong>Radiological depth, tumor growth type, and expanded enhancement area are crucial factors in the risk stratification for NPC.</p><p><strong>Key points: </strong>Question Can the MRI features of the primary tumor predict prognosis in patients with nasopharyngeal carcinoma? Findings Critical MRI features of primary tumor, including Radiological depth, Tumor growth type, and expanded enhancement area, serve as significant predictors of long-term survival in nasopharyngeal carcinoma. Clinical relevance In this retrospective study of 505 patients across four independent cohorts, the I-score constructed by Radiological depth, Tumor growth type, and Expanded enhancement area showed high performance in prognosis prediction, potentially supporting individualized therapy decision-making.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8083-8096"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148270986","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}
European RadiologyPub Date : 2026-11-01Epub Date: 2026-05-28DOI: 10.1007/s00330-026-12619-z
Hasan Nawaz Tahir, Ali Zar Qureshi, Anfal Khan, Shahnila Javed, Syeda Bushra Rizvi, Yousaf Ali
{"title":"Letter to the Editor: Methodological considerations in assessing patient perspectives on artificial intelligence in symptomatic breast imaging.","authors":"Hasan Nawaz Tahir, Ali Zar Qureshi, Anfal Khan, Shahnila Javed, Syeda Bushra Rizvi, Yousaf Ali","doi":"10.1007/s00330-026-12619-z","DOIUrl":"10.1007/s00330-026-12619-z","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"8479-8480"},"PeriodicalIF":6.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148041628","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}