Diagnostic and Interventional Imaging最新文献

{"title":"Hepatobiliary MRI contrast agents: Properties, clinical applications and future directions.","authors":"Edouard Reizine, Riccardo Sartoris, Maxime Barat, Maxime Ronot, Sébastien Mulé, Laurent Milot, Anita Paisant","doi":"10.1016/j.diii.2026.04.007","DOIUrl":"https://doi.org/10.1016/j.diii.2026.04.007","url":null,"abstract":"<p><p>Hepatobiliary contrast agents (HBAs) are gadolinium-based contrast agent characterized by hepatocellular uptake and hepatobiliary excretion. The hepatobiliary phase has become an essential tool of modern magnetic resonance imaging (MRI) of the liver and refines the diagnostic capabilities of MRI. The specific characteristic of HBAs allows the combination of MRI dynamic vascular imaging with unique lesion characterization, biliary anatomy and liver functional assessment. The practical use of HBAs in the non-invasive diagnosis of benign hepatocellular lesions must be known, as imaging patterns are specific for focal nodular hyperplasia and hepatic adenomas, and may vary according to adenoma subtypes. HBAs for the non-invasive diagnosis of hepatocellular carcinomas are integrated into Western and Eastern guidelines and on specific criteria for use and interpretation. Metastatic liver disease also represents a major application. Emerging applications include advanced biliary imaging, functional assessment of the liver, and potential role in surveillance strategies. This review summarizes the properties of HBAs, including their pharmacokinetics, safety, and technical considerations for image acquisition. It also discusses their role in characterizing focal liver lesions, highlighting their strengths and limitations.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844561","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":"The impact of artificial intelligence on emergency musculoskeletal imaging.","authors":"Mickael Tordjman, Ali Guermazi","doi":"10.1016/j.diii.2026.04.005","DOIUrl":"https://doi.org/10.1016/j.diii.2026.04.005","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2026-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822556","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, Eva Fourage, Julien Frandon","doi":"10.1016/j.diii.2026.04.002","DOIUrl":"https://doi.org/10.1016/j.diii.2026.04.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","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":"Photon-counting CT in pediatric patients: A multi-institutional evaluation of protocols and radiation exposure in 4,772 patients","authors":"Bouchra Habib Geryes ,&nbsp;Salma Moalla ,&nbsp;Esteban De Saint Etienne ,&nbsp;Aurélie Moussier ,&nbsp;François Pontana ,&nbsp;Nathalie Boddaert ,&nbsp;Valérie Pontvianne ,&nbsp;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 (&lt; 15 kg and &lt; 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}

{"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 ,&nbsp;Antoine Robert ,&nbsp;Angèle Houmeau ,&nbsp;Christian A. Hernandez ,&nbsp;Agnieszka Gutwinska ,&nbsp;Maria Nicole Antonuccio ,&nbsp;Simon Rit ,&nbsp;Joël Greffier ,&nbsp;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⁻¹) and color K-edge gadolinium (0.45 ± 0.03 (SD) mm⁻¹) 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⁻¹ <em>vs</em>. 0.29 ± 0.01 [SD] mm⁻¹) 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}

{"title":"Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches","authors":"Jules Dupont ,&nbsp;Fiona Frau ,&nbsp;Victor Robic ,&nbsp;Marina Manso Jimeno ,&nbsp;Letuan Phan ,&nbsp;Stéphanie Nougaret ,&nbsp;Samy Ammari ,&nbsp;Paul Henry Cournède ,&nbsp;Antoine Italiano ,&nbsp;Nathalie Lassau ,&nbsp;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 ,&nbsp;Hajer Chennoufi ,&nbsp;Matthieu Demeyere ,&nbsp;Sara Boccalini ,&nbsp;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}

{"title":"Photon-counting CT: A game changer in pediatric CT","authors":"Joël Greffier,&nbsp;Djamel Dabli","doi":"10.1016/j.diii.2025.12.003","DOIUrl":"10.1016/j.diii.2025.12.003","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 5","pages":"Pages 161-162"},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145901535","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":"Color K-edge image quality in spectral photon-counting CT with dual contrast agents: Toward true multi-contrast imaging","authors":"Christos Gkizas ,&nbsp;Francois Pontana","doi":"10.1016/j.diii.2026.02.004","DOIUrl":"10.1016/j.diii.2026.02.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 5","pages":"Pages 163-164"},"PeriodicalIF":8.1,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147356303","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":"Optical coherence tomography in neurovascular intervention: Technical aspects and emerging directions.","authors":"Géraud Forestier, Giovanni J Ughi, Maxime Baudouin, Romain Chauvet, Kévin Janot, Jonathan Cortese, Charles Roux, Francesco Diana, Nicolas Dubois, Nicole M Cancelliere, Charbel Mounayer, Vitor M Pereira, Aymeric Rouchaud","doi":"10.1016/j.diii.2026.04.003","DOIUrl":"https://doi.org/10.1016/j.diii.2026.04.003","url":null,"abstract":"<p><p>Since its initial introduction to interventional cardiology over two decades ago, optical coherence tomography (OCT) has emerged as a powerful tool in neurovascular intervention. This intravascular imaging modality uses near-infrared light to provide cross-sectional visualization of the vessel wall with a resolution approaching 10 μm. The resolution of OCT far surpasses that of other imaging techniques. This higher resolution enables radiologists to directly assess arterial wall disease, including atherosclerotic plaque, aneurysm, and thrombus, as well as the interaction between therapeutic devices and the arterial wall in real time, providing actionable information during neurovascular interventions. The growing reliance on endovascular approaches to treat intracranial aneurysms and ischemia underscores the importance of precise vessel evaluation during treatment to provide accurate imaging guidance. However, digital subtraction angiography and cone beam computed tomography angiography often fail to reveal underlying arterial disease and other key features, such as the presence of thrombi, dissections, and malapposed stents, that could lead to incomplete treatment and acute and chronic complications. By enabling direct visualization of these microstructural details, OCT may overcome some of the most persistent challenges in neurovascular practice, ultimately improving diagnostic accuracy, procedural safety, and long-term patient outcomes. Nevertheless, integrating OCT into neurovascular settings remains challenging. There is still a lack of large-scale clinical validation, and existing coronary devices are not suitable for reliable use in tortuous intracranial vascular circulations. To overcome the technical limitations of current technologies, neuroOCT technology was designed specifically for neurovascular use and was evaluated in a first-in-human study. This technology will enable future clinical studies to investigate using neuroOCT to guide and optimize neurovascular treatments. This review article aims to provide a comprehensive perspective on the potential of neuroOCT in neurovascular practice. It highlights the technology's technical principles, current applications, limitations, and prospects for reshaping vascular imaging and therapy in the brain.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822575","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}