Diagnostic and Interventional Imaging最新文献

{"title":"Inter-reader variability for quality assessment of synthetically degraded prostate MR images aligned with PIQUAL version 2.","authors":"Kang-Lung Lee, Jobie Budd, Shu-Huei Shen, Dimitri A Kessler, Chan Kyo Kim, Daniel Margolis, Haytham Shebel, Valdair Francisco Muglia, Jorge Abreu-Gomez, Nicola Schieda, Baris Turkbey, Hilde Kjernlie Andersen, Fabien Bryans, Antony Rix, Shuncong Wang, Po-Hsiang Liao, Chao-Yu Guo, Martin Graves, Andrei Purysko, Francesco Giganti, Maarten de Rooij, Tristan Barrett","doi":"10.1016/j.diii.2026.09.002","DOIUrl":"https://doi.org/10.1016/j.diii.2026.09.002","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate expert radiologists' perceptions of the quality of magnetic resonance imaging (MRI) of the prostate for images that underwent controlled degradation.</p><p><strong>Materials and methods: </strong>Seven-levels of controlled degradations were applied to 10 single-slice image sets, with T2-weighted images degraded using Gaussian noise and blur, and diffusion-weighted images degraded using noise, blur, and elastic deformation. Twelve image sets of varying apparent-diffusion coefficient (ADC)-T2-weighted anatomical mismatch were also included. Ten expert radiologists independently assessed image quality using prostate imaging quality (PI-QUAL) aligned criteria. Inter-reader agreement was evaluated using proportion agreement and Gwet's agreement coefficient 1 (AC1).</p><p><strong>Results: </strong>For T2-weighted images, image quality adequacy declined with increasing noise and blur, with inter-reader agreement highest at minimal and severe degradation (AC1 up to 0.98), and lowest at intermediate levels (AC1 as low as -0.03), demonstrating a U-shaped pattern. For diffusion-weighted imaging, image quality adequacy similarly decreased with increasing blur, and warping, while agreement for noise-degraded images increased from moderate at baseline to substantial at the highest noise levels. ADC- T2-weighted alignment agreement was almost perfect for mismatches < 5 mm (AC1, 0.93), but poor for > 5 mm mismatches (AC1, -0.08).</p><p><strong>Conclusion: </strong>Expert radiologists' assessment of image quality is subjective, with inter-reader agreement varying with image quality and type. Higher agreement is demonstrated for extreme MRI examinations of optimal or markedly poor quality, with the greatest disagreement at moderate degradation levels. Diffusion-weighted images, in particular, show more variable assessments, highlighting its susceptibility to noise and artifacts.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149075934","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":"Optimizing 3D FLAIR imaging of endolymphatic hydrops: Benefits and limitations of deep learning reconstruction.","authors":"Fatma Boubaker, Jeanne Stemart, Gabriela Hossu, Cécile Parietti-Winkler, Dominik Nickel, Pedro Augusto Gondim Teixeira, Alain Blum, Michael Eliezer, Romain Gillet","doi":"10.1016/j.diii.2026.09.003","DOIUrl":"https://doi.org/10.1016/j.diii.2026.09.003","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate the influence of deep learning reconstruction (DLR) on image quality and diagnostic performance of three-dimensional (3D) fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) of the inner ear.</p><p><strong>Material and methods: </strong>Fifty-three patients (32 women; mean age, 57.4 ± 16.1 [standard deviation (SD)] years) were prospectively included. All patients underwent 3D FLAIR MRI of the inner ear. Four MRI sequences were analyzed, including conventional FLAIR (acquisition time, 7 min 14 s), high-resolution FLAIR (6 min 54 s), DLR-FLAIR (6 min 54 s), and accelerated DLR-FLAIR (5 min 34 s). Signal-to-noise ratio (SNR) was measured for objective analysis. Two readers independently evaluated diagnostic performance using conventional 3D FLAIR images as the standard of reference, and image quality (i.e., motion artifacts, noise, edge sharpness, global quality). Interobserver agreement was assessed using kappa statistics and Bland Altman analysis.</p><p><strong>Results: </strong>DLR significantly increased SNR compared to non-DLR sequences (P < 0.001), with the highest SNR values observed for DLR-FLAIR images (91.2 ± 29.2 [SD]). Subjective analysis showed significant noise reduction and improved global image quality with DLR-FLAIR images (P < 0.001). Sensitivities for the diagnosis of inner-ear findings of the different sequences ranged between 62.5% and 100% and specificities between 92.1% and 100%, with no significant differences between sequences. Interobserver agreement was substantial to almost perfect for most findings but decreased for subtle structures and with the accelerated DLR-FLAIR sequence. Bland Altman analysis showed no systematic bias but increased variability with DLR.</p><p><strong>Conclusion: </strong>DLR significantly improves image quality in 3D FLAIR imaging of the inner ear, without compromising diagnostic performance. However, it may influence interobserver variability, particularly for subtle findings and accelerated acquisitions, which may modify diagnostic behavior, highlighting the importance of adapted interpretation strategies.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041533","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":"From beautiful color maps to clinical decisions: The next step for spectral CT.","authors":"Rémi Grange, Sébastien Mulé","doi":"10.1016/j.diii.2026.09.001","DOIUrl":"https://doi.org/10.1016/j.diii.2026.09.001","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149009087","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":"Prostatic artery embolization for benign prostatic hyperplasia: State of the art","authors":"Camille Cherrak,&nbsp;Xavier Guerra,&nbsp;Julien Panneau,&nbsp;Vincent Vidal,&nbsp;Jafar Golzarian,&nbsp;Charles Dariane,&nbsp;Marc Sapoval,&nbsp;Tom Boeken","doi":"10.1016/j.diii.2026.03.002","DOIUrl":"10.1016/j.diii.2026.03.002","url":null,"abstract":"<div><div>Over the past 25 years, prostatic artery embolization has emerged as a minimally invasive, organ-sparing alternative for managing benign prostatic hyperplasia. Though once considered experimental, it is now endorsed by major international radiological and urological societies as a valid therapeutic option for select patients. Its clinical efficacy has been proven, demonstrating durable improvement in lower urinary tract symptoms and quality of life. In the last five years, significant progress has been made in patient selection, imaging guidance, and embolic materials. This includes the introduction of liquid embolic agents, which are a promising innovation, but are still the subject of controversy and lack long-term outcome data. Meanwhile, artificial intelligence is emerging as a promising tool to support patient selection, procedural planning, and intraoperative guidance. However, its clinical implementation is still in its early stages. This review offers a thorough synthesis of the latest evidence and ongoing developments in prostatic artery embolization. It highlights significant progress and ongoing controversies, pinpoints knowledge gaps, and discusses their implications for clinical practice and future research.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 285-295"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500551","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":"Prostatic artery embolization: Toward clinical integration","authors":"Matthias Barral,&nbsp;Eva Fourage,&nbsp;Julien Frandon","doi":"10.1016/j.diii.2026.04.002","DOIUrl":"10.1016/j.diii.2026.04.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 283-284"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822534","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":"Evaluating the role of the main pancreatic duct in intraductal papillary mucinous neoplasm grading: A multi-structure radiomics-based machine learning approach","authors":"Emir A. Syailendra,&nbsp;Felipe Lopez-Ramirez,&nbsp;Florent Tixier,&nbsp;Alejandra Blanco,&nbsp;Hajra Arshad,&nbsp;Mohammad Yasrab,&nbsp;Zahra F. Rahmatullah,&nbsp;Ammar A. Javed,&nbsp;Jin He,&nbsp;Anne Marie Lennon,&nbsp;Ralph H. Hruban,&nbsp;Elham Afghani,&nbsp;Satomi Kawamoto,&nbsp;Linda C. Chu,&nbsp;Elliot K. Fishman","doi":"10.1016/j.diii.2026.02.002","DOIUrl":"10.1016/j.diii.2026.02.002","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to evaluate the contribution of radiomics features extracted from various pancreatic structures on computed tomography (CT) images, including the main pancreatic duct and cystic lesion, for predicting the pathological grade of intraductal papillary mucinous neoplasms (IPMNs) using machine learning models.</div></div><div><h3>Materials and methods</h3><div>A retrospective study using preoperative CT images obtained during the venous phase of enhancement in patients with pathologically confirmed IPMNs (2003–2024) was conducted. Main pancreatic ducts and cysts were manually segmented. Machine learning models were trained to classify IPMNs into high-grade/associated invasive carcinoma (HG/I) IPMNs or low-grade (LG) IPMNs using radiomics features from three structures (<em>i.e</em>., cysts, main pancreatic duct, and a combination of both structures). Model performance was evaluated using area under the receiver operating characteristic curve (AUC). SHapley Additive exPlanations (SHAP) values were used to interpret feature importance.</div></div><div><h3>Results</h3><div>A total of 274 patients with IPMNs were included. There were 149 patients with HG/I IPMNs (70 women [47 %]; median age, 71.0 years; age range: 29–92) and 125 patients with LG IPMNs (73 women [58.4 %]; median age, 68.0 years; range: 35–86). HG/I IPMNs were predominantly mixed-type IPMNs (51.7 %; 77/149). LG IPMNs were unspecified (51/125; 40.8 %), main/mixed (40/125; 32 %), or branch-duct type (34/125; 27.2 %). A support vector machine trained on combined features achieved the largest AUC (0.85; 95 % confidence interval [CI]: 0.85–0.87; <em>P</em> &lt; 0.001), with 90 % sensitivity (95 % CI: 90–93), and 60 % specificity (95 % CI: 58–62). SHAP analysis identified main pancreatic duct radiomics features as having the largest contribution to model output.</div></div><div><h3>Conclusion</h3><div>Integrating CT-based radiomics features from pancreatic ducts and cysts improves classification performance, with main pancreatic duct features being the most contributive predictor of IPMN grade.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 296-305"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146259627","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":"Decoding the pancreatic duct: Multi-structure radiomics redefines risk stratification and early cancer detection in intraductal papillary mucinous neoplasm","authors":"Maxime Barat,&nbsp;Anna Pellat,&nbsp;Philippe Soyer","doi":"10.1016/j.diii.2026.02.008","DOIUrl":"10.1016/j.diii.2026.02.008","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 279-280"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147379080","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":"Pancreatic ductal adenocarcinoma in IgG4-related disease","authors":"Thi Thuy Linh Nguyen,&nbsp;Maxime Barat,&nbsp;Ugo Marchese","doi":"10.1016/j.diii.2026.03.003","DOIUrl":"10.1016/j.diii.2026.03.003","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 316-317"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147575834","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":"Improving prognostication in rare metastatic cancers treated with novel immunotherapy: Comparing transversal versus longitudinal assessment and molecular versus radiological response criteria","authors":"Amandine Crombé","doi":"10.1016/j.diii.2026.03.004","DOIUrl":"10.1016/j.diii.2026.03.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 281-282"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147700155","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":"Total tumor volume and growth rate at 3 months on MRI outperform baseline imaging and circulating tumor DNA for predicting survival of patients with metastatic uveal melanoma receiving tebentafusp","authors":"Toulsie Ramtohul,&nbsp;Xavier-Louis Jasawant,&nbsp;José Luis Sandoval,&nbsp;Léah Mailly-Giacchetti,&nbsp;Gaëlle Pierron,&nbsp;Nathalie Cassoux,&nbsp;Pascale Mariani,&nbsp;Marc-Henri Stern,&nbsp;Shufang Renault,&nbsp;Aurore Rampanou,&nbsp;Raphael Sanchez,&nbsp;Sophie Piperno-Neumann,&nbsp;Vincent Servois,&nbsp;Manuel Rodrigues","doi":"10.1016/j.diii.2026.02.009","DOIUrl":"10.1016/j.diii.2026.02.009","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to determine whether liver magnetic resonance imaging (MRI)-derived tumor burden and growth rate at 3 months better predict overall survival (OS) than baseline imaging, circulating tumor DNA (ctDNA), and RECIST objective response in patients with hepatic metastases from metastatic uveal melanoma (mUM) treated with tebentafusp.</div></div><div><h3>Materials and methods</h3><div>A total of 88 patients with mUM treated with tebentafusp between 2018 and 2022 who underwent MRI examination at baseline and at three months following initiation of tebentafusp were retrospectively included. There were 52 women and 36 men, with a median age of 59.0 years (Q1, 52.0; Q3, 66.5; range: 30–77 years). Hepatic metastases were segmented to compute total tumor volumes at baseline (TTV₀) and at 3 months (TTV_m3) and the exponential tumor growth rate between scans (TGR_m3, %/month). When available, ctDNA was quantified at the same time points. Associations with OS were assessed using Cox models and Harrell’s concordance index (C-index) with 95 % confidence intervals obtained by 1,000-iteration bootstrap resampling. A three-tier MRI risk score combined median-based TTV_m3 and TGR_m3 cutoffs.</div></div><div><h3>Results</h3><div>In multivariable analysis, greater TTV_m3 and TGR_m3 were independently associated with shorter OS (hazard ratio [HR] per doubling of TTV_m3, 1.25; 95 % confidence interval [CI]: 1.15–1.35; HR per +10 %/month TGR_m3, 1.18; 95 % CI; 1.08–1.29; both <em>P</em> &lt; 0.001), whereas baseline tumor volume and RECIST objective response were not. The MRI risk score yielded three well-separated OS curves (log-rank <em>P</em> &lt; 0.001) and a C-index of 0.79 (bootstrap 95 % CI: 0.71–0.86), outperforming ctDNA-based models (C-index, 0.73; <em>P</em> = 0.01) and RECIST objective response (C-index, 0.65; <em>P</em> &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>Dynamic liver MRI biomarkers in patients with mUM under tebentafusp, particularly month-3 total tumor volume and growth rate, provide independent prognostic information beyond baseline imaging, ctDNA, and RECIST and support MRI-based risk stratification as a central decision tool in mUM.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 9","pages":"Pages 306-315"},"PeriodicalIF":11.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147349188","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}