Diagnostic and Interventional Imaging最新文献

{"title":"Laser-focused ablative therapy for prostate cancer and benign prostatic hyperplasia: A review of current applications and future directions.","authors":"François Cornud, Eric M Walser, Katelijne Cc de Bie, Arnaud Lefevre, Marc Galiano","doi":"10.1016/j.diii.2025.04.001","DOIUrl":"https://doi.org/10.1016/j.diii.2025.04.001","url":null,"abstract":"<p><p>Focal Laser ablation (FLA), or interstitial Laser thermotherapy, is a promising minimally invasive approach for the treatment of localized prostate cancer and benign prostatic hyperplasia. This technique is gaining popularity among patients due to its ability to preserve pre-treatment quality of life. The examination is performed under magnetic resonance imaging (in bore) or ultrasound guidance, via a percutaneous transrectal or transperineal route. Under transperineal ultrasound guidance, FLA can use up to four Laser fibers to create confluent zones of tissue ablation, enabling treatment of larger prostate- or tumor volumes. Primary indications for FLA include intermediate-risk localized prostate cancer and benign prostatic hyperplasia refractory to medical treatment due to ineffectiveness or side effects. The intervention is typically performed under light sedation or under locoregional anesthesia. FLA lasts approximately 10 min, with a total intervention time of < 60 min on an outpatient basis. Patients are often discharged with either a suprapubic or bladder catheter to prevent urinary retention, especially if the ablated area is close to the urethra. Minor complications are rare and limited to transient voiding dysfunction, urinary tract infection, or hematuria. Major complications, such as rectoprostatic fistula, are avoided by rectoprostatic hydrodissection. FLA is an effective, well-tolerated option in the minimally invasive treatment of prostate disease, offering rapid treatment times, low complication rates, and preservation of quality of life for appropriately selected patients. However, variability in recurrence rates following FLA for prostate cancer highlights the need for further investigation into optimal patient selection for this treatment.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035593","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":"Image quality and dose reduction with photon counting detector CT: Comparison between ultra-high resolution mode and standard mode using a phantom study.","authors":"Joël Greffier, Claire Van Ngoc Ty, Skander Sammoud, Cédric Croisille, Jean-Paul Beregi, Djamel Dabli, Isabelle Fitton","doi":"10.1016/j.diii.2025.03.009","DOIUrl":"https://doi.org/10.1016/j.diii.2025.03.009","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to assess the image quality and dose reduction potential of ultra-high resolution (UHR) mode compared with standard mode, both available on a commercial photon-counting detector computed tomography (PCCT) scanner.</p><p><strong>Materials and methods: </strong>Images were acquired on a PCCT with a phantom using UHR and standard modes at three dose levels (3/6/12 mGy). Raw data were reconstructed using soft tissue (Br36) and bone (Br68) reconstruction kernels and 0.4-mm slice thickness. Noise power spectrum (NPS) and task-based transfer function (TTF) were calculated to assess noise magnitude, noise texture (f_av), and spatial resolution (f₅₀), respectively. Detectability indexes (d') were calculated to model the detection of two abdominal lesions for a Br36 soft tissue reconstruction kernel and three bone lesions for a Br68 bone reconstruction kernel.</p><p><strong>Results: </strong>At all dose levels, noise magnitude values were lower with UHR than with standard mode (mean difference, -18.0 ± 2.6 [standard deviation (SD)] % for Br36 and -33.9 ± 2.3 [SD] % for Br68). Noise texture was lower with UHR than with standard mode (mean difference, -4.2 ± 0.9 [SD] % for Br36 and -16.0 ± 1.8 [SD] % for Br68). For the solid water insert and Br36, f₅₀ values were similar for both UHR (0.34 ± [SD] 0.04 mm^-1) and standard (0.33 ± [SD] 0.04 mm^-1) modes. For Br68, f₅₀ values were greater with UHR than with standard for iodine (mean difference, 18.5 ± 1.9 [SD] %) and bone (11.7 ± 5.7 [SD] %) inserts. For all simulated lesions, d' values were greater with UHR than with standard and, compared to standard, the dose reduction potential with UHR was -32.9 ± 0.0 (SD) % for abdominal lesions and -68.7 ± 3.2 (SD) % for bone lesions.</p><p><strong>Conclusion: </strong>Compared to the standard mode, the UHR mode offers lower noise levels and better detectability of abdominal and bone lesions, paving the way for potential dose reduction with PCCT in clinical applications.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812728","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":"Real-world validation of a deep learning algorithm for chest radiography in the emergency department: A tale of two specialties.","authors":"Bo Gong","doi":"10.1016/j.diii.2025.03.008","DOIUrl":"https://doi.org/10.1016/j.diii.2025.03.008","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812680","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":"Efficacy of a deep learning-based software for chest X-ray analysis in an emergency department.","authors":"Sathiyamurthy Selvam, Olivier Peyrony, Arben Elezi, Adelia Braganca, Anne-Marie Zagdanski, Lucie Biard, Jessica Assouline, Guillaume Chassagnon, Guillaume Mulier, Constance de Margerie-Mellon","doi":"10.1016/j.diii.2025.03.007","DOIUrl":"https://doi.org/10.1016/j.diii.2025.03.007","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate the efficacy of a deep learning (DL)-based computer-aided detection (CAD) system for the detection of abnormalities on chest X-rays performed in an emergency department setting, where readers have access to relevant clinical information.</p><p><strong>Materials and methods: </strong>Four hundred and four consecutive chest X-rays performed over a two-month period in patients presenting to an emergency department with respiratory symptoms were retrospectively collected. Five readers (two radiologists, three emergency physicians) with access to clinical information were asked to identify five abnormalities (i.e., consolidation, lung nodule, pleural effusion, pneumothorax, mediastinal/hilar mass) in the dataset without assistance, and then after a 2-week period, with the assistance of a DL-based CAD system. The reference standard was a chest X-ray consensus review by two experienced radiologists. Reader performances were compared between the reading sessions, and interobserver agreement was assessed using Fleiss' kappa test.</p><p><strong>Results: </strong>The dataset included 118 occurrences of the five abnormalities in 103 chest X-rays. The CAD system improved sensitivity for consolidation, pleural effusion, and nodule, with respective absolute differences of 8.3 % (95 % CI: 3.8-12.7; P < 0.001), 7.9 % (95 % CI: 1.7-14.1; P = 0.012), and 29.5 % (95 % CI: 19.8-38.2; P < 0.001), respectively. Specificity was greater than 89 % for all abnormalities and showed a minimal but significant decrease with DL for nodules and mediastinal/hilar masses (-1.8 % [95 % CI: -2.7 - -0.9]; P < 0.001 and -0.8 % [95 % CI: -1.5 - -0.2]; P = 0.005). Inter-observer agreement improved with DL, with kappa values ranging from 0.40 [95 % CI: 0.37-0.43] for mediastinal/hilar mass to 0.84 [95 % CI: 0.81-0.87] for pneumothorax.</p><p><strong>Conclusion: </strong>Our results suggest that DL-assisted reading increases the sensitivity for detecting important chest X-ray abnormalities in the emergency department, even when clinical information is available to the radiologist.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781705","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}

{"title":"Does genicular artery embolization compromise future knee surgery in patients with knee osteoarthritis? A strategic call to the community","authors":"Marc Sapoval ,&nbsp;Olivier Pellerin ,&nbsp;Axel Boyer ,&nbsp;Carole Déan ,&nbsp;Tom Boeken","doi":"10.1016/j.diii.2024.12.006","DOIUrl":"10.1016/j.diii.2024.12.006","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 3","pages":"Pages 105-106"},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025388","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}