Diagnostic and Interventional Imaging最新文献

{"title":"Emerging paradigms in molecular imaging of neuroendocrine tumors: From dual-tracer PET to somatostatin receptor antagonists.","authors":"Anna Pellat, Anne Ségolène Cottereau","doi":"10.1016/j.diii.2025.07.006","DOIUrl":"https://doi.org/10.1016/j.diii.2025.07.006","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144709578","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":"Are we really ready to use radiomics and deep learning for clinical decision support in radiology?","authors":"Guillaume Chassagnon","doi":"10.1016/j.diii.2025.07.004","DOIUrl":"https://doi.org/10.1016/j.diii.2025.07.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144709577","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":"Imaging features of hepatic peribiliary cysts in liver cirrhosis.","authors":"Emma Gauwin, Maxime Barat, Emma Canniff","doi":"10.1016/j.diii.2025.07.002","DOIUrl":"https://doi.org/10.1016/j.diii.2025.07.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668729","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 angiography with a dedicated gadolinium-based contrast agent for spectral photon-counting computed tomography.","authors":"Christian Alejandro Hernandez-Fajardo, François Lux, Tristan Doussineau, Sandrine Dufort, Jean-Baptiste Langlois, Angele Houmeau, Agnieszka Gutwinska, Ramata Seydou Coulibaly, Antoine Robert, Geraldine Le Duc, Olivier Tillement, Philippe Douek, Salim Si-Mohamed","doi":"10.1016/j.diii.2025.07.001","DOIUrl":"https://doi.org/10.1016/j.diii.2025.07.001","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to investigate the feasibility of using a gadolinium (Gd)-based ultrasmall rigid platform (USRP) for angiography imaging using color K-edge imaging with spectral photon-counting CT technology in a rabbit model.</p><p><strong>Materials and methods: </strong>Ten atherosclerotic rabbits with a mean weight of 3.1 ± 0.5 (standard deviation) kg, underwent intravenous administration of an USRP solution (15 mL; 2.5 mL/s; 0.27 mol Gd³⁺/L). A sub-group of six rabbits also received gadoteric acid (7.8 mL; 1.4 mL/s; 0.5 mol Gd³⁺/L) for paired comparisons. Rabbits were imaged using a clinical SPCCT prototype (120 kVp; 100 mAs; 0.5-s rotation time; 1.17 pitch). The whole aorta was scanned 6 s post-injection (first pass), followed by abdominal scanning at 30 s, 1-, 3- and 10 min. Two-readers assigned aneurysm grades (expressed as a % vessel dilatation). Median, 25^th, and 75^th percentiles were used to compare first-pass signals. Mean signal differences in biodistribution for both agents were compared in the aorta, vena cava, and renal pelvis using t-test or Wilcoxon signed-rank test. Signals from both conventional CT and color K-edge images were analyzed.</p><p><strong>Results: </strong>Mean aneurysm grades for both image types were 45 %. A matching first-pass signal was achieved for both agents (P = 0.98), with median concentrations of 7.8 mg/mL (6.9, 8.4) vs. 7.6 mg/mL (6.4, 8.6) for USRP and gadoteric acid, respectively. Following timepoints showed similar blood pool signal among agents, but a minimal increase in average signal (mean signal difference = 17 Hounsfield unit or 0.2 mg/mL; P < 0.05) for both vessels in favor of USRP. High Gd concentrations in the renal pelvis for both agents indicated similar renal excretion profiles (mean signal difference of 0.9 mg/mL; P > 0.05).</p><p><strong>Conclusion: </strong>Gd-based USRPs can be used for color K-edge angiography imaging, representing viable contrast media candidates for emerging spectral photon-counting CT applications.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144643873","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":"Contribution of a new super-resolution deep-learning image reconstruction algorithm coupled with an extended matrix to cardiac CT image quality.","authors":"Joël Greffier, Djamel Dabli, Fabien de Oliveira, Jean-Paul Beregi, Mickaël Ohana","doi":"10.1016/j.diii.2025.06.004","DOIUrl":"https://doi.org/10.1016/j.diii.2025.06.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561647","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":"Generative T2*-weighted images as a substitute for true T2*-weighted images on brain MRI in patients with acute stroke","authors":"Antoine Pelcat ,&nbsp;Alice Le Berre ,&nbsp;Wagih Ben Hassen ,&nbsp;Clement Debacker ,&nbsp;Sylvain Charron ,&nbsp;Bertrand Thirion ,&nbsp;Laurence Legrand ,&nbsp;Guillaume Turc ,&nbsp;Catherine Oppenheim ,&nbsp;Joseph Benzakoun","doi":"10.1016/j.diii.2025.03.004","DOIUrl":"10.1016/j.diii.2025.03.004","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to validate a deep learning algorithm that generates T2*-weighted images from diffusion-weighted (DW) images and to compare its performance with that of true T2*-weighted images for hemorrhage detection on MRI in patients with acute stroke.</div></div><div><h3>Materials and methods</h3><div>This single-center, retrospective study included DW- and T2*-weighted images obtained less than 48 hours after symptom onset in consecutive patients admitted for acute stroke. Datasets were divided into training (60 %), validation (20 %), and test (20 %) sets, with stratification by stroke type (hemorrhagic/ischemic). A generative adversarial network was trained to produce generative T2*-weighted images using DW images. Concordance between true T2*-weighted images and generative T2*-weighted images for hemorrhage detection was independently graded by two readers into three categories (parenchymal hematoma, hemorrhagic infarct or no hemorrhage), and discordances were resolved by consensus reading. Sensitivity, specificity and accuracy of generative T2*-weighted images were estimated using true T2*-weighted images as the standard of reference.</div></div><div><h3>Results</h3><div>A total of 1491 MRI sets from 939 patients (487 women, 452 men) with a median age of 71 years (first quartile, 57; third quartile, 81; range: 21–101) were included. In the test set (n = 300), there were no differences between true T2*-weighted images and generative T2*-weighted images for intraobserver reproducibility (κ = 0.97 [95 % CI: 0.95–0.99] vs. 0.95 [95 % CI: 0.92–0.97]; <em>P</em> = 0.27) and interobserver reproducibility (κ = 0.93 [95 % CI: 0.90–0.97] vs. 0.92 [95 % CI: 0.88–0.96]; <em>P</em> = 0.64). After consensus reading, concordance between true T2*-weighted images and generative T2*-weighted images was excellent (κ = 0.92; 95 % CI: 0.91–0.96). Generative T2*-weighted images achieved 90 % sensitivity (73/81; 95 % CI: 81–96), 97 % specificity (213/219; 95 % CI: 94–99) and 95 % accuracy (286/300; 95 % CI: 92–97) for the diagnosis of any cerebral hemorrhage (hemorrhagic infarct or parenchymal hemorrhage).</div></div><div><h3>Conclusion</h3><div>Generative T2*-weighted images and true T2*-weighted images have non-different diagnostic performances for hemorrhage detection in patients with acute stroke and may be used to shorten MRI protocols.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 7","pages":"Pages 264-271"},"PeriodicalIF":4.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670166","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":"SIAD (Societé d'Imagerie Abdominale et Digestive) and AFEF (Association Française pour l'Etude du Foie) best practice position paper on the implementation of ultrasound elastography in clinical practice","authors":"Lucia Parlati ,&nbsp;Christophe Aubé ,&nbsp;Maïté Lewin ,&nbsp;Jérôme Boursier ,&nbsp;Maxime Ronot ,&nbsp;Anita Paisant","doi":"10.1016/j.diii.2025.03.010","DOIUrl":"10.1016/j.diii.2025.03.010","url":null,"abstract":"<div><h3>Purpose</h3><div>The diagnosis of liver fibrosis is critical in managing chronic liver diseases. The EASL guidelines now recognize ultrasound elastography as a valuable, non-invasive method for assessing liver fibrosis. However, there is a lack of uniform use and reporting of the technique. The purpose of this position paper was to provide guidance on using ultrasound elastography techniques and interpreting results in clinical practice.</div></div><div><h3>Materials and methods</h3><div>A French national consensus panel of experts in radiology and hepatology, convened by SIAD (Société d'Imagerie Abdominale et Digestive) and AFEF (Association Française pour l'Etude du Foie), developed a position statement paper on best practices in ultrasound elastography. They were established using an online Delphi methodology that included an online panel discussion and item preparation. Consensus was achieved when ≥ 80 % of the participants agreed with a specific recommendation.</div></div><div><h3>Results</h3><div>The accuracy and reliability of ultrasound elastography results could be significantly affected by a variety of operator-related and patient-related factors. Standard recommendations have been established in two areas, including recommendations for measurements and factors affecting results and reliability, and guidelines for standardized reporting of ultrasound elastography results.</div></div><div><h3>Conclusion</h3><div>This position paper is a comprehensive and accessible guide for clinicians that outlines best practices and standardized protocols to improve the reliability of ultrasound elastography assessments.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 7","pages":"Pages 272-279"},"PeriodicalIF":4.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053888","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":"Dual diagnostic capabilities of photon-counting CT: From coronary artery evaluation to myocardial characterization","authors":"Jan M. Brendel ,&nbsp;Aurelien Bustin ,&nbsp;Gilles Soulat","doi":"10.1016/j.diii.2025.04.002","DOIUrl":"10.1016/j.diii.2025.04.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 7","pages":"Pages 241-242"},"PeriodicalIF":4.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812721","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":"Can generative T2*-weighted images replace true T2*-weighted images in brain MRI?","authors":"Thomas Tourdias ,&nbsp;Alexandre Bani-Sadr ,&nbsp;Augustin Lecler","doi":"10.1016/j.diii.2025.03.011","DOIUrl":"10.1016/j.diii.2025.03.011","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 7","pages":"Pages 245-246"},"PeriodicalIF":4.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054905","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-derived extracellular volume in acute myocarditis: Comparison with cardiac MRI","authors":"Christos Gkizas ,&nbsp;Benjamin Longere ,&nbsp;Olga Sliwicka ,&nbsp;Aimee Rodriguez Musso ,&nbsp;Gilles Lemesle ,&nbsp;Cedric Croisille ,&nbsp;Mehdi Haidar ,&nbsp;Francois Pontana","doi":"10.1016/j.diii.2025.03.001","DOIUrl":"10.1016/j.diii.2025.03.001","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to evaluate the feasibility and the accuracy of myocardial late iodine enhancement for extracellular volume (ECV) quantification using dual-source photon-counting detector computed tomography (PCD-CT) in patients with suspected acute myocarditis by comparison with cardiac MRI.</div></div><div><h3>Materials and methods</h3><div>Patients with clinical suspicion of myocarditis who were referred for coronary CT angiography (CCTA) to exclude coronary artery disease were included in this retrospective study. All patients underwent CCTA examination using a first-generation PCD-CT, which included slate iodine enhancement images. ECV was calculated from the iodine ratio of the myocardium to the blood pool on late iodine enhancement PCD-CT images. A comprehensive cardiac MRI protocol was used as the reference method to confirm myocarditis according to the Lake Louise 2018 criteria. All subjects underwent CCTA using PCD-CT and cardiac MRI within 24 h. The mean dose-length product of late enhancement PCD-CT scanning was calculated. Correlations between ECV PCD-CT (endocardial, epicardial, midcardial, and global), cardiac MRI-LGE, and right and left ventricular ejection fractions were assessed using Pearson correlation test. ECV values derived from PCD-CT and those from cardiac MRI were compared using Bland Altman plots and linear regression analysis. Areas under the receiver operating characteristic curves (AUCs) were used to determine the optimal thresholds of ECV-PCD-CT and ECV-MRI for differentiating patients with myocarditis from those not meeting the Lake Louise criteria.</div></div><div><h3>Results</h3><div>Thirty-two patients were included. There were 19 men and 13 women with a mean age of 35.9 ± 15.0 (standard deviation [SD]) years; age range: 21–51). The mean dose-length product of late enhancement PCD-CT scanning was 96 ± 32 (SD) mGy.cm. No significant differences in mean global ECV were found between ECV calculated with the PCD-CT (29.4 ± 4.5 [SD] %) and that calculated with cardiac MRI (30.0 ± 4.1 [SD] %) (<em>P</em> = 0.69). ECV-CT was greater in patients with cardiac MRI-confirmed myocarditis (31.65 ± 3.6 [SD] %) by comparison with those with normal findings (25.6 ± 3.2 [SD] %) (<em>P</em> &lt; 0.01). ECV-CT strongly correlated with LGE mass (<em>r</em> = 0.82) and showed strong segmental correlation with ECV-MRI (basal: <em>r</em> = 0.95; mid-ventricular: <em>r</em> = 0.91). An ECV-CT threshold of 26.9 % yielded an AUC of 0.95 (95 % CI: 0.84–1.00) for the diagnosis of myocarditis.</div></div><div><h3>Conclusion</h3><div>Calculation of ECV using iodine maps derived from late iodine enhancement cardiac PCD-CT images is both feasible and accurate at low radiation doses. PCD-CT appears as a promising non-invasive imaging modality for the diagnostic and prognostic assessment of acute myocarditis in the setting of chest pain.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 7","pages":"Pages 255-263"},"PeriodicalIF":4.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659125","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}