{"title":"The evolving role of cardiac CT: Emerging technologies and clinical impact.","authors":"Seitaro Oda, Mami Iima, Masahiro Yanagawa, Tsukasa Saida, Satoru Ide, Koji Takumi, Rintaro Ito, Ryo Kurokawa, Maya Honda, Kentaro Nishioka, Akihiko Sakata, Keitaro Sofue, Daiju Ueda, Shunsuke Sugawara, Tadashi Watabe, Mariko Kawamura, Kenji Hirata, Shinji Naganawa","doi":"10.1016/j.diii.2026.10.001","DOIUrl":"https://doi.org/10.1016/j.diii.2026.10.001","url":null,"abstract":"<p><p>Cardiac computed tomography (CT) has progressed from a non-invasive test primarily used to exclude obstructive coronary artery disease into a comprehensive cardiovascular imaging platform for coronary artery disease, myocardial disease, valvular heart disease, and structural heart disease. Coronary CT angiography (CCTA) is now endorsed as a first-line test in appropriately selected patients with stable chest pain or suspected chronic coronary syndromes because it can exclude obstructive disease, depict coronary atherosclerotic burden, support preventive treatment, and inform referral for invasive coronary angiography. At the same time, contemporary cardiac CT is moving beyond luminal stenosis. CT-derived fractional flow reserve and myocardial CT perfusion add a functional assessment of ischemia, whereas late iodine enhancement, CT-derived extracellular volume fraction, myocardial strain, and pericoronary fat attenuation index provide information on fibrosis, ventricular mechanics, vascular inflammation, and prognosis. Cardiac CT also has an established role in transcatheter valve therapy, left atrial appendage occlusion, and prosthetic valve assessment by providing a three-dimensional roadmap for device selection, access planning, and complication prediction. Photon-counting detector CT and artificial intelligence are further expanding the capabilities of cardiac CT through higher spatial resolution, spectral quantification, automated segmentation, quantitative plaque analysis, image reconstruction, and structured reporting. This review summarizes the evidence, technical foundations, clinical applications, and implementation challenges of contemporary cardiac CT, with an emphasis on its transition toward a decision-making platform for personalized cardiovascular care.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149225235","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":"When less is not more: How effective is ultra-low-dose CT for cancer follow-up?","authors":"Paul Calame, Philippe Soyer","doi":"10.1016/j.diii.2026.09.004","DOIUrl":"https://doi.org/10.1016/j.diii.2026.09.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149128728","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":"Rethinking personalization in prostatic artery embolization: It is not who we treat, but how","authors":"Maxime Barat, Tom Boeken","doi":"10.1016/j.diii.2026.06.004","DOIUrl":"10.1016/j.diii.2026.06.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 10","pages":"Pages 321-322"},"PeriodicalIF":11.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148319985","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}
Aurore Sajust de Bergues de Escalup, Loïc Duron, Pierre Seners, Candice Sabben, Michael Obadia, Amélie Yavchitz, Julien Savatovsky, Augustin Lecler
{"title":"Prediction of functional outcome in patients with ischemic stroke using advanced diffusion-weighted MRI parameters at 3 Tesla","authors":"Aurore Sajust de Bergues de Escalup, Loïc Duron, Pierre Seners, Candice Sabben, Michael Obadia, Amélie Yavchitz, Julien Savatovsky, Augustin Lecler","doi":"10.1016/j.diii.2026.03.001","DOIUrl":"10.1016/j.diii.2026.03.001","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to prospectively evaluate the contribution of intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) for predicting outcome after ischemic stroke.</div></div><div><h3>Materials and methods</h3><div>Patients with acute ischemic stroke who underwent brain MRI at 3 Tesla, including a multi-b diffusion-weighted imaging sequence were prospectively included. Mean, maximum (max) and minimum (min) of diffusion parameters, including apparent diffusion coefficient (ADC), D, D*, f, f·D* and K were extracted from the infarct core and normal-appearing parenchyma. The primary endpoint was 3-month modified Rankin scale (mRS). Associations were tested by univariable ordinal logistic regression with false discovery rate correction. Model performance was assessed using area under the receiver operating characteristic curve (AUC) analysis and the ranked probability score.</div></div><div><h3>Results</h3><div>A total of 157 patients were included. There were 83 men and 74 women with a mean age of 70 ± 16 (standard deviation) years (range: 23–100 years). In univariable analyses, ADCmin in the infarct core was the strongest predictor of worse functional outcome at 3 months (OR, 0.37; <em>P</em> < 0.001). Within the infarct core, nine other parameters were significantly associated with mRS (one ADC, six IVIM and two DKI metrics). In the normal-appearing parenchyma, eight parameters (two ADC, four IVIM and two DKI metrics) were significantly associated with outcome. In multivariable analysis, the model combining ADCmin and Kmin in the core with ADCmax in the normal-appearing parenchyma provided the highest prognostic performance, with an AUC of 0.81 (95 % confidence interval [CI]: 0.77–0.86) compared to ADCmin alone (AUC, 0.75; 95 % CI: 0.67–0.82) (<em>P</em> < 0.0001).</div></div><div><h3>Conclusion</h3><div>A combination of advanced diffusion MRI parameters could predict functional outcome in patients with ischemic stroke with higher precision than standard ADC alone.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 10","pages":"Pages 335-342"},"PeriodicalIF":11.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147491996","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}
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
{"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":"10.1016/j.diii.2026.04.003","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 10","pages":"Pages 323-334"},"PeriodicalIF":11.1,"publicationDate":"2026-10-01","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Skander Sammoud, Djamel Dabli, Fabien De Oliveira, Chris Serrand, Paul Segui, Tarek Kammoun, Ghizlane Touimi Ben Jelloun, Houssem Loukil, Adrien Zoppardo, Maxime Pastor, Joël Greffier, Florence Longueville, Jean-Paul Beregi, Stéphane Droupy, Julien Frandon
{"title":"Quantitative CT biomarkers for predicting clinical outcomes after prostatic artery embolization: Results of the prospective pilot EMBOPERF study","authors":"Skander Sammoud, Djamel Dabli, Fabien De Oliveira, Chris Serrand, Paul Segui, Tarek Kammoun, Ghizlane Touimi Ben Jelloun, Houssem Loukil, Adrien Zoppardo, Maxime Pastor, Joël Greffier, Florence Longueville, Jean-Paul Beregi, Stéphane Droupy, Julien Frandon","doi":"10.1016/j.diii.2026.05.003","DOIUrl":"10.1016/j.diii.2026.05.003","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to prospectively evaluate whether quantitative variables obtained using computed tomography (CT) perfusion and dual-energy CT (DECT) can predict 3-month clinical success after prostatic artery embolization (PAE) in patients with benign prostatic hyperplasia (BPH).</div></div><div><h3>Materials and methods</h3><div>Thirty-eight men (mean age, 74.1 ± 9.2 [standard deviation (SD)] years; mean prostate volume, 107.7 ± 45.1 [SD] mL) with symptomatic BPH underwent CT perfusion and DECT (venous phase at 80 s; delayed phase at 3 min) before PAE. Quantitative variables included the perfusion integrated total enhancement (ITE), delayed-phase iodine charge, and venous-to-delayed iodine charge ratio. Clinical success was defined as the removal of an indwelling catheter or a reduction of at least 25 % in the International Prostate Symptom Score (IPSS) and/or an improvement of at least one point in quality of life (QoL) after three months. Statistical analyses included group comparisons, receiver-operating characteristic (ROC) analysis, and targeted multivariable logistic regression analysis.</div></div><div><h3>Results</h3><div>Clinical success was achieved in 31/38 patients (82 %). Patients with successful PAE had a significantly greater ITE (0.117 ± 0.175 [SD]) and a higher venous-to-delayed iodine charge ratio (0.886 ± 0.138 [SD]) than those with failed PAE (0.051 ± 0.020 [SD], and 0.650 ± 0.096 [SD], respectively; <em>P</em> = 0.018 and <em>P</em> < 0.001, respectively. Venous-to-delayed iodine charge ratio yielded 81 % sensitivity (95 % confidence interval [CI]: 62–93), 100 % specificity (95 % CI: 59–100) and an area under the ROC curve (AUC) of 0.931 (95 % CI: 0.850–1.000) to predict clinical success of PAE. In multivariable analysis, the venous-to-delayed iodine charge ratio remained an independent predictor of PAE success (<em>P</em> = 0.030).</div></div><div><h3>Conclusion</h3><div>The CT-derived venous-to-delayed iodine charge ratio is a promising noninvasive biomarker for predicting clinical success after PAE in patients with BPH. These findings could improve patient selection and personalize BPH management.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 10","pages":"Pages 343-349"},"PeriodicalIF":11.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147982866","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}