Valérie Bousson , Ariane Vallot , Pierre Guétat , Grégoire Attané , Jean-Michel Sverzut , Camille Yardin , Marie Nauwelaers , Catherine Phan , Philippe Bossard , Nicolas Benoist
{"title":"A review of current applications of photon-counting CT in musculoskeletal imaging","authors":"Valérie Bousson , Ariane Vallot , Pierre Guétat , Grégoire Attané , Jean-Michel Sverzut , Camille Yardin , Marie Nauwelaers , Catherine Phan , Philippe Bossard , Nicolas Benoist","doi":"10.1016/j.diii.2026.01.006","DOIUrl":"10.1016/j.diii.2026.01.006","url":null,"abstract":"<div><div>Photon-counting computed tomography (PCCT) is a significant technological advancement in musculoskeletal imaging. Unlike traditional CT detectors, which are energy-integrating detectors, PCCT uses direct-conversion technology, or photon-counting detectors. This enables ultra-high spatial resolution, systematic spectral imaging, and effective electronic noise reduction without increasing radiation exposure. This review article illustrates the potential benefit of PCCT in clinical practice across a broad spectrum of musculoskeletal disorders. PCCT is expected to improve the detection and characterization of fractures, infections, inflammatory and degenerative arthropathies, bone marrow disorders, tumors, congenital bone diseases, and postoperative complications. It will also assist with interventional procedures. PCCT holds great promise for opportunistic imaging and artificial intelligence-driven analytics in musculoskeletal radiology.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 6","pages":"Pages 207-219"},"PeriodicalIF":8.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042036","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}
Rakhshan Kamran, Bryan Buckley, Andreu F Costa, Bruce B Forster, Sebastian Mafeld, Jai Shankar, Adnan Sheikh, Carolina Souza, Michael N Patlas
{"title":"Canadian radiology: 2026 update.","authors":"Rakhshan Kamran, Bryan Buckley, Andreu F Costa, Bruce B Forster, Sebastian Mafeld, Jai Shankar, Adnan Sheikh, Carolina Souza, Michael N Patlas","doi":"10.1016/j.diii.2026.05.001","DOIUrl":"https://doi.org/10.1016/j.diii.2026.05.001","url":null,"abstract":"<p><p>Canadian radiology continues to produce scholarship that is technically sophisticated, clinically relevant, and increasingly attentive to the wider systems in which imaging is delivered. The purpose of this article was to provide an update on selected work shaping radiology in Canada across major subspecialties and domains of practice. In abdominal radiology, notable developments include oncologic imaging research, disease-specific guidance, referral recommendations, and updated approaches to contrast media hypersensitivity. Canadian researchers have made significant contributions to cardiothoracic radiology, including works in cardiac magnetic resonance imaging, opportunistic cardiovascular risk assessment, low-dose imaging techniques, artificial intelligence evaluation, climate-related imaging research, and consensus guidance. Canadian interventional radiology continues to demonstrate strong international influence through major clinical trials, translational device development, and scholarship addressing access and environmental sustainability. In musculoskeletal radiology, recent work has focused on fracture risk assessment, imaging utilization in acute sports injury, and evidence-based referral pathways. In neuroradiology, Canadian centers remain highly influential in acute ischemic stroke imaging and intervention, imaging for brain-based death determination and prognostication in critically ill patients, and the emerging role of middle meningeal artery embolization for chronic subdural hematoma. Collectively, these contributions reflect a field marked by methodological rigor, clinical relevance, and a strong commitment to translating evidence into practice.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147934326","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}
Maxime Barat, Lucia Parlati, Raphael Dautry, Philippe Soyer, Stylianos Tzedakis, Anthony Dohan
{"title":"The growing role of interventional oncology in the management of hepatic malignancies in France: A nationwide analysis of intervention trends from the French national hospital discharge database.","authors":"Maxime Barat, Lucia Parlati, Raphael Dautry, Philippe Soyer, Stylianos Tzedakis, Anthony Dohan","doi":"10.1016/j.diii.2026.05.002","DOIUrl":"https://doi.org/10.1016/j.diii.2026.05.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2026-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147934640","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}
Bouchra Habib Geryes , Salma Moalla , Esteban De Saint Etienne , Aurélie Moussier , François Pontana , Nathalie Boddaert , Valérie Pontvianne , Volodia Dangouloff-Ros
{"title":"Photon-counting CT in pediatric patients: A multi-institutional evaluation of protocols and radiation exposure in 4,772 patients","authors":"Bouchra Habib Geryes , Salma Moalla , Esteban De Saint Etienne , Aurélie Moussier , François Pontana , Nathalie Boddaert , Valérie Pontvianne , Volodia Dangouloff-Ros","doi":"10.1016/j.diii.2025.11.010","DOIUrl":"10.1016/j.diii.2025.11.010","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to provide protocol guidance and evaluate radiation dose levels in pediatric photon-counting computed tomography (PCCT) applications.</div></div><div><h3>Materials and methods</h3><div>This multi-institutional, retrospective study included data from PCCT examinations performed between January 2024 and May 2025 in three medical institutions. Protocols were developed through expert consensus to optimize image quality and minimize motion artifacts and radiation exposure in children. Volume CT dose indexes (CTDIvol, in mGy) and dose-length products (DLP, in mGy·cm) were collected across ten body regions and stratified into five weight groups.</div></div><div><h3>Results</h3><div>A total of 4772 patients who underwent a total of 6464 pediatric PCCT examinations were included. There were 2719 male (56.97 %) and 2053 female (43.02 %) pediatric patients with a mean age of 7.9 ± 5.5 (standard deviation [SD]) years (range: 4 days–17.9 years), and a mean weight of 29.6 ± 20.3 (SD) kg (range: 2–79 kg). A total of 2110 PCCT examinations (32.64 %) involved children up to preschool age (< 15 kg and < 4 years). The chest (33.54 %; 2168/6464) and head (25.91 %; 1675/6464) were the most frequent regions examined, followed by the ear, nose and throat (11.36 %; 736/6464), the heart (8.65 %; 559/6464) and the abdomen/pelvis (5.09 %; 329/6464). Median CTDIvol for non-contrast head PCCT ranged from 16.1 to 24.0 mGy and DLP from 311 to 608 mGy·cm, while for non-contrast chest PCCT, median CTDIvol ranged from 0.3 to 0.8 mGy and DLP from 7 to 27 mGy·cm. CTDIvol and DLP increased with patient body weight.</div></div><div><h3>Conclusion</h3><div>This multi-institutional study provides practical protocol guidance for PCCT and updated dose benchmarks adapted to pediatric patients. These findings support the safe integration of PCCT into clinical practice and offer a flexible reference framework that centers can adapt to optimize image quality and radiation protection in children.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 5","pages":"Pages 186-197"},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649345","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}
Ramata Coulibaly , Antoine Robert , Angèle Houmeau , Christian A. Hernandez , Agnieszka Gutwinska , Maria Nicole Antonuccio , Simon Rit , Joël Greffier , Salim A. Si-Mohamed
{"title":"First evaluation of color K-edge image quality using spectral photon-counting CT combined with two contrast agents: A phantom study","authors":"Ramata Coulibaly , Antoine Robert , Angèle Houmeau , Christian A. Hernandez , Agnieszka Gutwinska , Maria Nicole Antonuccio , Simon Rit , Joël Greffier , Salim A. Si-Mohamed","doi":"10.1016/j.diii.2025.11.005","DOIUrl":"10.1016/j.diii.2025.11.005","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to assess the image quality of color K-edge imaging obtained with a spectral photon-counting CT (SPCCT) scanner using a spectral phantom with a mixture of iodine-based and gadolinium-based contrast agents.</div></div><div><h3>Materials and methods</h3><div>A clinical SPCCT scanner prototype was used to scan a spectral phantom. Three dedicated cavities were filled with three contrast agents including iodine alone, gadolinium alone and a mixture of both. Two concentrations of 0.5 and 2 mg/mL were evaluated using nine helical PCCT scans at 120 kVp and 150 mAs. Conventional, color iodine and color K-edge gadolinium images were obtained through a material decomposition algorithm using three basis materials (water, iodine, gadolinium). Attenuation (in Hounsfield unit [HU]), iodine and gadolinium concentrations and task-based transfer function (TTF) were measured on each cavity and image. The noise power spectrum (NPS) was calculated on the phantom's background.</div></div><div><h3>Results</h3><div>Color K-edge imaging differentiated iodine and gadolinium but underestimated their concentrations. Gadolinium concentrations were underestimated by 9.4 ± 2.2 (standard deviation [SD]) % and 9.2 ± 1.0 (SD) % for gadolinium alone, 14.9 ± 2.3 (SD) % and 11.4 ± 1.2 (SD) % for the mixture, at 0.5 and 2 mg/mL, respectively. Similar TTF values at 50 % were found for color iodine (0.43 ± 0.01 [SD] mm<sup>−1</sup>) and color K-edge gadolinium (0.45 ± 0.03 (SD) mm<sup>−1</sup>) images for respective cavities at 2 mg/mL but the lowest values were found for color K-edge gadolinium images (0.43 ± 0.01 [SD] mm<sup>−1</sup> <em>vs</em>. 0.29 ± 0.01 [SD] mm<sup>−1</sup>) at 0.5 mg/mL. The value of noise magnitude was 24.75 HU, 0.06 mg/mL and 0.03 mg/mL for conventional, color iodine and color K-edge gadolinium images, respectively.</div></div><div><h3>Conclusion</h3><div>Color K-edge imaging helps distinguish between contrast agents while being associated with lownoise magnitude, high-frequency spatial noise and high spatial resolution.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 5","pages":"Pages 179-185"},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145688495","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}
Jules Dupont , Fiona Frau , Victor Robic , Marina Manso Jimeno , Letuan Phan , Stéphanie Nougaret , Samy Ammari , Paul Henry Cournède , Antoine Italiano , Nathalie Lassau , Amandine Crombé
{"title":"Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches","authors":"Jules Dupont , Fiona Frau , Victor Robic , Marina Manso Jimeno , Letuan Phan , Stéphanie Nougaret , Samy Ammari , Paul Henry Cournède , Antoine Italiano , Nathalie Lassau , Amandine Crombé","doi":"10.1016/j.diii.2026.02.001","DOIUrl":"10.1016/j.diii.2026.02.001","url":null,"abstract":"<div><div>Radiomics seeks to convert medical images into quantitative biomarkers capable of capturing tumor phenotype, microenvironment, and underlying biology. Over the past fifteen years, the field has expanded beyond handcrafted radiomic features toward deep radiomics, multi-site radiomics, and multi-omics integration, while the need for interpretability has become increasingly central. The aim of this article was to define and clarify these major methodological and conceptual evolutions, to summarize current innovations in deep, explainable, multi-site, and multi-omics radiomics, and to identify the remaining challenges that must be addressed before clinical translation. We first outline how deep learning architectures, including convolutional neural networks, autoencoders, vision transformers, and mask image modeling, enable the extraction of high-level, data-driven imaging representations that theoretically surpass the descriptive power of classical handcrafted radiomic features. Because tumors often display heterogeneous behavior across metastatic sites, we then describe the transition from single-site radiomics to patient-level multi-site approaches integrating all lesions, using aggregation methods, radiomic distance metrics, or attention-based multi-instance learning. Next, we highlight the efforts to harmonize imaging acquisition, preprocessing, and feature extraction across centers, and the growing role of multi-omics frameworks that integrate radiomics with genomic, transcriptomic, immunologic, and clinical data to provide a more complete picture of tumor biology. As model complexity increases, explainable artificial intelligence methods (<em>e.g</em>., class activation maps, permutation importance, and Shapley values), structured reporting frameworks, and intrinsically interpretable model architectures should be viewed as complementary rather than competing approaches to ensure transparency, interpretability, and clinical trust. Despite major progress, key challenges persist, including confounding factors, limited public datasets, multicenter variability, inconsistent reporting, and the absence of prospective radiomics-driven clinical trials. Ultimately, radiomics will reach clinical maturity only through the joint advancement of methodological rigor, harmonization, interpretability, and multi-omics integration.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 5","pages":"Pages 165-178"},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146198206","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":"Using regadenoson for stress first-pass perfusion cardiac MR imaging: How, when, and why?","authors":"Bon-Marin Mulot , Hajer Chennoufi , Matthieu Demeyere , Sara Boccalini , Jean-Nicolas Dacher","doi":"10.1016/j.diii.2026.01.001","DOIUrl":"10.1016/j.diii.2026.01.001","url":null,"abstract":"<div><div>Cardiac magnetic resonance imaging (MRI) is a valuable tool for ruling out coronary artery disease, assessing cardiac viability, diagnosing myocardial ischemia, and providing prognostic information. Cardiac MRI, including vasodilator-induced first-pass perfusion imaging, is recommended for patients with a high probability of coronary disease, prior to revascularization, and when a viability assessment is necessary. Adenosine is the most commonly used vasodilating agent for stress cardiac MRI worldwide. However, regadenoson, which is an adenosine A2A receptor agonist, is a highly suitable alternative for stress cardiac MRI due to its kinetic properties, ease of use, single-dose administration, limited contraindications, and prognostic value. This technical note describes the characteristics and safety profile of regadenoson and discusses its application to cardiac MRI and reimbursement issues.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 5","pages":"Pages 198-201"},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145949202","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}