Diagnostic and Interventional Imaging最新文献

{"title":"First in-human gadolinium K-edge imaging with spectral photon counting CT","authors":"Sara Boccalini , Salim Si-Mohamed , Klaus Erhard , Marine Bordet , Yoad Yagil , Philippe Douek","doi":"10.1016/j.diii.2024.12.004","DOIUrl":"10.1016/j.diii.2024.12.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 5","pages":"Pages 192-195"},"PeriodicalIF":4.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014592","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":"Robotics and artificial intelligence in the real world of interventional radiology: Innovation or illusion?","authors":"Baptiste Bonnet , Lambros Tselikas","doi":"10.1016/j.diii.2025.01.006","DOIUrl":"10.1016/j.diii.2025.01.006","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 5","pages":"Pages 145-146"},"PeriodicalIF":4.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143123914","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":"Myocardial scar detection in patients with implantable cardiac device: Wideband free-breathing motion-corrected black-blood late gadolinium enhancement could be the answer","authors":"Farah Cadour , Benjamin Longère","doi":"10.1016/j.diii.2025.01.002","DOIUrl":"10.1016/j.diii.2025.01.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 5","pages":"Pages 143-144"},"PeriodicalIF":4.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014593","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":"Evaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration","authors":"Francois H. Cornelis ,&nbsp;Dimitrios K Filippiadis ,&nbsp;Philipp Wiggermann ,&nbsp;Stephen B. Solomon ,&nbsp;David C. Madoff ,&nbsp;Laurent Milot ,&nbsp;Sylvain Bodard","doi":"10.1016/j.diii.2025.01.004","DOIUrl":"10.1016/j.diii.2025.01.004","url":null,"abstract":"<div><h3>Purpose</h3><div>Navigation and robotic systems aim to improve the accuracy and efficiency of percutaneous image-guided interventions, but the evaluation of their autonomy and integration of advanced imaging and artificial intelligence (AI) is lacking. The purpose of this study was to evaluate the level of automation and integration of advanced imaging and artificial intelligence in navigation and robotic systems for percutaneous image-guided interventions, using established and novel metrics to categorize and compare their capabilities.</div></div><div><h3>Materials and methods</h3><div>Following PRISMA guidelines, a systematic review was conducted to identify studies on clinically validated navigation and robotic systems published between 2000 and May 2024. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched. Data on navigation devices were extracted and analyzed. The levels of autonomy in surgical robotics (LASR) classification system (from 1 to 5) was used to analyze automation. A novel taxonomy, the Levels of Integration of Advanced Imaging and AI (LIAI2) classification system, was created to categorize the integration of imaging technologies and AI (from 1 to 5). These two scores were combined into an aggregate score (from 1 to 10) to reflect the autonomy in percutaneous image-guided intervention.</div></div><div><h3>Results</h3><div>The review included 20 studies assessing two navigation systems and eight robotic devices. The median LASR score was 1 (Q1, Q3: 1, 1), the median LIAI2 score was 2 (Q1, Q3: 2, 3), and the median aggregate score was 3 (Q1, Q3: 3, 4). Only one robotic system (10 % of those reviewed) achieved the highest LASR qualification in the literature, a level 2/5. Four systems (40 %) shared the highest rating for LIAI2, which was a score of 3/5. Four systems (40 %) achieved the highest aggregate scores of 4/10.</div></div><div><h3>Conclusion</h3><div>None of the navigation and robotic systems achieved full autonomy for percutaneous image-guided intervention. The LASR and LIAI2 scales can guide innovation by identifying areas for further development and integration.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 5","pages":"Pages 157-168"},"PeriodicalIF":4.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068969","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":"Endovascular management of pelvic congestion syndrome: An expert consensus statement from the French Society of Cardiovascular Imaging (SFICV), Interventional Radiology Federation (FRI), College of French Radiology Teachers (CERF), and French Society of Women's Imaging (SIFEM).","authors":"Vincent Le Pennec, Frédéric Douane, Jean Luc Brun, Francine Thouveny, Thomas Martinelli, Marine Bravetti, Charles Mastier, Yan Le Bras, André Rogopoulos, Pierre Antoine Barral, Henri Marret, Pascal Chabrot, Alexis Jacquier, Quentin Senechal, Gary Doppelt, Julien Frandon","doi":"10.1016/j.diii.2025.04.004","DOIUrl":"https://doi.org/10.1016/j.diii.2025.04.004","url":null,"abstract":"<p><strong>Purpose: </strong>Pelvic congestion syndrome (PCS) is a major cause of chronic pelvic pain in women of reproductive age. It is often associated with pelvic venous insufficiency and venous dilatation of the ovarian and uterine veins, resulting in a variety of symptoms exacerbated by venous hypertension. Despite its prevalence, PCS lacks standardized diagnostic and management protocols, making effective treatment challenging. The purpose of this expert consensus statement was to summarize the opinions of French radiologists and gynecologists regarding the diagnosis, imaging, treatment, and management of PCS.</p><p><strong>Materials and methods: </strong>A working group of 14 expert radiologists and gynecologists from various French medical centers used a Delphi panel approach with several rounds of remote and face-to-face meetings to formulate and refine expert opinions based on the current literature and clinical expertise. These opinions were categorized according to diagnostic criteria, imaging techniques, therapeutic options, and follow-up protocols.</p><p><strong>Results: </strong>The group formulated 72 initial opinions, and 65 were retained after rigorous evaluation for consensus. Key diagnostic tools include Doppler ultrasound for detection of venous reflux and magnetic resonance imaging for detailed assessment of venous anatomy. Endovascular embolization was highlighted as the primary treatment approach and recommended after thorough imaging evaluation. Noninvasive treatments and multidisciplinary care were also emphasized for comprehensive management. The expert opinion also included post-treatment follow-up to assess quality of life and symptom resolution.</p><p><strong>Conclusion: </strong>This structured consensus approach helped develop standardized expert opinions on management of, providing clear guidelines for diagnosis, treatment, and follow-up. These guidelines should improve clinical practice and patient care in the management of PCS.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051346","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":"Standard of care versus standard of care plus Ericksonian hypnosis for percutaneous liver biopsy: Results of a randomized control trial","authors":"Maxime Barat ,&nbsp;Camille Ollivier ,&nbsp;Linda Taibi ,&nbsp;Véronique Nitsche ,&nbsp;Philippe Sogni ,&nbsp;Philippe Soyer ,&nbsp;Lucia Parlati ,&nbsp;Anthony Dohan ,&nbsp;Hendy Abdoul ,&nbsp;Marie-Pierre Revel","doi":"10.1016/j.diii.2024.09.009","DOIUrl":"10.1016/j.diii.2024.09.009","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to compare levels of pain and anxiety during percutaneous ultrasound-guided liver biopsy between patients receiving standard of care and those receiving standard of care plus the support of Ericksonian hypnosis.</div></div><div><h3>Materials and methods</h3><div>This prospective, single-center, single-blind, randomized controlled superiority trial included 70 participants. Participants were randomly assigned to either the standard of care group and received oral anxiolytic medications with reassuring conversational support, or to the experimental group, and received Ericksonian hypnosis (<em>i.e., conversational hypnosis</em>) in addition to standard of care. The primary outcome was the level of pain experienced during the biopsy, measured on a 10-point visual analog scale (0 indicating no pain to 10 indicating excruciating pain). Secondary outcomes included anxiety level during the biopsy, pain level within one hour of the biopsy measured using the same 10-point visual analog scale, amount of analgesic medication taken in the 24 h following the biopsy, and patient willingness to undergo another ultrasound-guided percutaneous liver biopsy in the future.</div></div><div><h3>Results</h3><div>Thirty-six participants were included in the standard of care group, and 34 were included in the experimental group. The mean score of pain experienced during the biopsy was lower in the experimental group (2.4 ± 1.9 [standard deviation (SD)]) compared to the standard of care group (4.4 ± 2.6 [SD]) (<em>P</em> = 0.001). The level of anxiety experienced during the biopsy was lower in the hypnosis group (2.1 ± 1.8 [SD]) compared to the standard of care group (4.8 ± 2.4 [SD]) (<em>P</em> &lt; 0.001). No significant differences in other secondary outcomes were observed between the two groups.</div></div><div><h3>Conclusion</h3><div>The addition of Ericksonian hypnosis to standard of care reduces the pain experienced by patients during percutaneous ultrasound-guided percutaneous liver biopsy by comparison with standard of care alone.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 3","pages":"Pages 93-97"},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367076","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":"Evaluation of a deep learning-based software to automatically detect and quantify breast arterial calcifications on digital mammogram","authors":"Laetitia Saccenti ,&nbsp;Bilel Ben Jedida ,&nbsp;Lise Minssen ,&nbsp;Refaat Nouri ,&nbsp;Lina El Bejjani ,&nbsp;Haifa Remili ,&nbsp;An Voquang ,&nbsp;Vania Tacher ,&nbsp;Hicham Kobeiter ,&nbsp;Alain Luciani ,&nbsp;Jean Francois Deux ,&nbsp;Thu Ha Dao","doi":"10.1016/j.diii.2024.10.001","DOIUrl":"10.1016/j.diii.2024.10.001","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to evaluate an artificial intelligence (AI) software that automatically detects and quantifies breast arterial calcifications (BAC).</div></div><div><h3>Materials and methods</h3><div>Women who underwent both mammography and thoracic computed tomography (CT) from 2009 to 2018 were retrospectively included in this single-center study. Deep learning-based software was used to automatically detect and quantify BAC with a BAC AI score ranging from 0 to 10-points. Results were compared using Spearman correlation test with a previously described BAC manual score based on radiologists’ visual quantification of BAC on the mammogram. Coronary artery calcification (CAC) score was manually scored using a 12-point scale on CT. The diagnostic performance of the marked BAC AI score (defined as BAC AI score ≥ 5) for the detection of marked CAC (CAC score ≥ 4) was analyzed in terms of sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC).</div></div><div><h3>Results</h3><div>A total of 502 women with a median age of 62 years (age range: 42–96 years) were included. The BAC AI score showed a very strong correlation with the BAC manual score (<em>r</em> = 0.83). Marked BAC AI score had 32.7 % sensitivity (37/113; 95 % confidence interval [CI]: 24.2–42.2), 96.1 % specificity (374/389; 95 % CI: 93.7–97.8), 71.2 % positive predictive value (37/52; 95 % CI: 56.9–82.9), 83.1 % negative predictive value (374/450; 95 % CI: 79.3–86.5), and 81.9 % accuracy (411/502; 95 % CI: 78.2–85.1) for the diagnosis of marked CAC. The AUC of the marked BAC AI score for the diagnosis of marked CAC was 0.64 (95 % CI: 0.60–0.69).</div></div><div><h3>Conclusion</h3><div>The automated BAC AI score shows a very strong correlation with manual BAC scoring in this external validation cohort. The automated BAC AI score may be a useful tool to promote the integration of BAC into mammography reports and to improve awareness of a woman's cardiovascular risk status.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 3","pages":"Pages 98-104"},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570245","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}

{"title":"CT features of tension neck subcutaneous emphysema (tension pneumocollum)","authors":"Mohamed S. Muneer ,&nbsp;Rowa A. Mohamed ,&nbsp;Tarik F. Massoud","doi":"10.1016/j.diii.2024.10.007","DOIUrl":"10.1016/j.diii.2024.10.007","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 3","pages":"Pages 107-108"},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142576623","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":"Shaping the future of MRI in upper abdominal imaging: The promise of deep learning reconstruction","authors":"Anita Paisant ,&nbsp;Sébastien Mulé","doi":"10.1016/j.diii.2024.12.003","DOIUrl":"10.1016/j.diii.2024.12.003","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 3","pages":"Pages 83-84"},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068970","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":"Breast arterial calcification can be integrated into mammographic reports with minimal effort from radiologists","authors":"Masako Kataoka","doi":"10.1016/j.diii.2024.11.004","DOIUrl":"10.1016/j.diii.2024.11.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 3","pages":"Pages 81-82"},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142819708","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}