Diagnostic and Interventional Imaging最新文献

{"title":"Single- and multi-site radiomics may improve overall survival prediction for patients with metastatic lung adenocarcinoma","authors":"Cécile Masson-Grehaigne ,&nbsp;Mathilde Lafon ,&nbsp;Jean Palussière ,&nbsp;Laura Leroy ,&nbsp;Benjamin Bonhomme ,&nbsp;Eva Jambon ,&nbsp;Antoine Italiano ,&nbsp;Sophie Cousin ,&nbsp;Amandine Crombé","doi":"10.1016/j.diii.2024.07.005","DOIUrl":"10.1016/j.diii.2024.07.005","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to assess whether single-site and multi-site radiomics could improve the prediction of overall survival (OS) of patients with metastatic lung adenocarcinoma compared to clinicopathological model.</div></div><div><h3>Materials and methods</h3><div>Adults with metastatic lung adenocarcinoma, pretreatment whole-body contrast-enhanced computed tomography examinations, and performance status (WHO-PS) ≤ 2 were included in this retrospective single-center study, and randomly assigned to training and testing cohorts. Radiomics features (RFs) were extracted from all measurable lesions with volume ≥ 1 cm³. Radiomics prognostic scores based on the largest tumor (RPS_largest) and the average RF values across all tumors per patient (RPS_average) were developed in the training cohort using 5-fold cross-validated LASSO-penalized Cox regression. Intra-patient inter-tumor heterogeneity (IPITH) metrics were calculated to quantify the radiophenotypic dissimilarities among all tumors within each patient. A clinicopathological model was built in the training cohort using stepwise Cox regression and enriched with combinations of RPS_average, RPS_largest and IPITH. Models were compared with the concordance index in the independent testing cohort.</div></div><div><h3>Results</h3><div>A total of 300 patients (median age: 63.7 years; 40.7% women; median OS, 16.3 months) with 1359 lesions were included (200 and 100 patients in the training and testing cohorts, respectively). The clinicopathological model included WHO-PS = 2 (hazard ratio [HR] = 3.26; <em>P</em> &lt; 0.0001), EGFR, ALK, ROS1 or RET mutations (HR = 0.57; <em>P =</em> 0.0347), IVB stage (HR = 1.65; <em>P =</em> 0.0211), and liver metastases (HR = 1.47; <em>P =</em> 0.0670). In the testing cohort, RPS_average, RPS_largest and IPITH were associated with OS (HR = 85.50, <em>P =</em> 0.0038; HR = 18.83, <em>P =</em> 0.0082 and HR = 8.00, <em>P =</em> 0.0327, respectively). The highest concordance index was achieved with the combination of clinicopathological variables and RPS_average, significantly better than that of the clinicopathological model (concordance index = 0.7150 vs. 0.695, respectively; <em>P =</em> 0.0049)</div></div><div><h3>Conclusion</h3><div>Single-site and multi-site radiomics-based scores are associated with OS in patients with metastatic lung adenocarcinoma. RPS_average improves the clinicopathological model.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 439-452"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082364","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":"Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future","authors":"","doi":"10.1016/j.diii.2024.06.002","DOIUrl":"10.1016/j.diii.2024.06.002","url":null,"abstract":"<div><div>The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the industry, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. However, the increasing adoption of AI systems also raises concerns about their environmental impact, particularly in the context of climate change. This review explores the intersection of climate change and AI in healthcare, examining the challenges posed by the energy consumption and carbon footprint of AI systems, as well as the potential solutions to mitigate their environmental impact. The review highlights the energy-intensive nature of AI model training and deployment, the contribution of data centers to greenhouse gas emissions, and the generation of electronic waste. To address these challenges, the development of energy-efficient AI models, the adoption of green computing practices, and the integration of renewable energy sources are discussed as potential solutions. The review also emphasizes the role of AI in optimizing healthcare workflows, reducing resource waste, and facilitating sustainable practices such as telemedicine. Furthermore, the importance of policy and governance frameworks, global initiatives, and collaborative efforts in promoting sustainable AI practices in healthcare is explored. The review concludes by outlining best practices for sustainable AI deployment, including eco-design, lifecycle assessment, responsible data management, and continuous monitoring and improvement. As the healthcare industry continues to embrace AI technologies, prioritizing sustainability and environmental responsibility is crucial to ensure that the benefits of AI are realized while actively contributing to the preservation of our planet.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 453-459"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141451977","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":"Canadian radiology: 2024 update","authors":"","doi":"10.1016/j.diii.2024.06.004","DOIUrl":"10.1016/j.diii.2024.06.004","url":null,"abstract":"<div><div>Radiology in Canada is advancing through innovations in clinical practices and research methodologies. Recent developments focus on refining evidence-based practice guidelines, exploring innovative imaging techniques and enhancing diagnostic processes through artificial intelligence. Within the global radiology community, Canadian institutions play an important role by engaging in international collaborations, such as with the American College of Radiology to refine implementation of the Ovarian-Adnexal Reporting and Data System for ultrasound and magnetic resonance imaging. Additionally, researchers have participated in multidisciplinary collaborations to evaluate the performance of artificial intelligence-driven diagnostic tools for chronic liver disease and pediatric brain tumors. Beyond clinical radiology, efforts extend to addressing gender disparities in the field, improving educational practices, and enhancing the environmental sustainability of radiology departments. These advancements highlight Canada's role in the global radiology community, showcasing a commitment to improving patient outcomes and advancing the field through research and innovation. This update underscores the importance of continued collaboration and innovation to address emerging challenges and further enhance the quality and efficacy of radiology practices worldwide.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 460-465"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141471762","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":"Temporal bone remodeling is an indicator of transverse sinus stenosis on computed tomography","authors":"","doi":"10.1016/j.diii.2024.05.005","DOIUrl":"10.1016/j.diii.2024.05.005","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to identify potential association between transverse sinus stenosis (TSS) and temporal bone thinning downstream of TSS on computed tomography (CT).</div></div><div><h3>Materials and methods</h3><div>Clinical and radiological data of patients with venous pulsatile tinnitus due to TSS (TSS group) and treated with stenting from 2019 to 2022 were retrospectively collected. An age-matched control group of patients with venous or neutral pulsatile tinnitus (control group) was built. CT measurements of temporal bone thickness were performed at the level of transverse-sigmoid sinus junction (E1) and the occipitomastoid suture (E2). E1; E2 and E1/E2 ratios obtained in TSS and control groups were compared.</div></div><div><h3>Results</h3><div>A total of 122 patients with venous pulsatile tinnitus were included. There were 56 patients with TSS (TSS group; 56 women; mean age, 35.5 ± 11.3 [standard deviation] years) and 66 patients without TSS (control group; 54 women; mean age, 37.7 ± 10.5 [standard deviation] years). E1 measurements and E1/E2 ratios on the symptomatic and dominant sides were significantly lower in the TSS group by comparison with the contralateral side of the same group (<em>P</em> &lt; 0.05) and the ipsilateral side of the control group (<em>P</em> &lt; 0.05). There were no differences in median E2 values between the TSS group (6.8 mm; range: 3.5–10.8 mm) and the control group (7.1 mm; range: 2.9–11.2 mm) (<em>P</em> = 0.098). E1 = 0 mm was found only in the TSS group. At receiver operating characteristic (ROC) analysis, an E1/E2 ratio threshold of 0.562 maximized the ability to predict presence of TSS. An E1/E2 ratio &lt; 0.562 was predictive of symptomatic TSS with an accuracy of 74% (95% confidence interval: 65–82%). The AUC for the diagnosis of TSS was 0.807 (95% CI: 0.729–0.885).</div></div><div><h3>Conclusion</h3><div>Temporal bone thickness is significantly reduced downstream of the stenosis on the pulsatile tinnitus side and may be a good indicator of symptomatic TSS.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 419-429"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312014","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":"Injectable chitosan hydrogel effectively controls lesion growth in a venous malformation murine model","authors":"Ha-Long Nguyen ,&nbsp;Ricardo Holderbaum Do Amaral ,&nbsp;Sophie Lerouge ,&nbsp;An-Katrien De Roo ,&nbsp;Fatemeh Zehtabi ,&nbsp;Miikka Vikkula ,&nbsp;Gilles Soulez","doi":"10.1016/j.diii.2024.07.004","DOIUrl":"10.1016/j.diii.2024.07.004","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to evaluate the safety and efficacy of intralesional injection of chitosan hydrogel (CH) combined with sodium tetradecyl sulfate (STS) to sclerose and embolize venous malformations (VMs) by comparison with 3% STS foam and placebo in a mouse model.</div></div><div><h3>Materials and methods</h3><div>Subcutaneous VMs were created by injecting HUVEC_TIE2-L914F cells, mixed with matrigel, into the back of athymic mice (Day [D] 0). After VM-like lesions were established at D10, 70 lesions were randomly assigned to one of six treatment groups (untreated, saline, 3% STS-foam, CH, 1% STS-CH, 3% STS-CH). For 3% STS-foam, the standard Tessari technique was performed. VMs were regularly evaluated every 2–3 days to measure lesion size until the time of collection at D30 (primary endpoint). At D30, VM lesions including the matrigel plugs were culled and evaluated by histological analysis to assess vessel size, chitosan distribution and endothelial expression. One-way analysis of variance (ANOVA) test was performed to compare quantitative variables with normal distribution, otherwise Kruskal-Wallis test followed by pairwise comparisons by a Wilcoxon rank sum test was performed.</div></div><div><h3>Results</h3><div>All VMs were successfully punctured and injected. Six VMs injected with 3% STS-CH showed early skin ulceration with an extrusion of the matrigel plug and were excluded from final analysis. In the remaining 64 VMs, skin ulceration occurred on 26 plugs, resulting in the loss of three 3% STS-foam and one 1% STS-CH plugs. Both chitosan formulations effectively controlled growth of VMs by the end of follow-up compared to untreated or 3% STS-foam groups (<em>P</em> &lt; 0.05). Vessel sizes were smaller with both CH formulations compared to untreated and saline groups (<em>P</em> &lt; 0.05). Additionally, there were smaller vascular channels within the 1% STS-CH group compared to the 3% STS-foam group (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>Chitosan's ability to control the growth of VMs suggests a promising therapeutic effect that outperforms the gold standard (STS-foam) on several variables.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 430-438"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141879686","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":"Cinematic rendering of mesenteric paraganglioma","authors":"Lalla Maria Yaacoubi,&nbsp;Philippe Soyer ,&nbsp;Maxime Barat","doi":"10.1016/j.diii.2024.06.007","DOIUrl":"10.1016/j.diii.2024.06.007","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 466-467"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141753063","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 effect of radiology on climate change: Can AI help us move toward a green future?","authors":"Douraied Ben Salem,&nbsp;Philippe Soyer,&nbsp;Hélène Vernhet Kovaczick","doi":"10.1016/j.diii.2024.07.011","DOIUrl":"10.1016/j.diii.2024.07.011","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 415-416"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142146603","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":"Idiopathic intracranial hypertension: A complex condition in which physiological and anatomical concepts collide","authors":"","doi":"10.1016/j.diii.2024.06.009","DOIUrl":"10.1016/j.diii.2024.06.009","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 413-414"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499351","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":"Chitosan hydrogel to improve the efficacy of sclerotherapy for venous malformations: From preclinical experiment to clinical application","authors":"Romaric Loffroy ,&nbsp;Pierre-Olivier Comby","doi":"10.1016/j.diii.2024.09.013","DOIUrl":"10.1016/j.diii.2024.09.013","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"105 11","pages":"Pages 417-418"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367075","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":"Diagnostic and prognostic value of MRI-based Node-RADS for the assessment of regional lymph node metastasis in renal cell carcinoma","authors":"Xu Bai ,&nbsp;Cheng Peng ,&nbsp;Baichuan Liu ,&nbsp;Shaopeng Zhou ,&nbsp;Haili Liu ,&nbsp;Yijian Chen ,&nbsp;Huiping Guo ,&nbsp;Yuwei Hao ,&nbsp;Xin Liu ,&nbsp;Jian Zhao ,&nbsp;Xiaohui Ding ,&nbsp;Lin Li ,&nbsp;Xu Zhang ,&nbsp;Huiyi Ye ,&nbsp;Xin Ma ,&nbsp;Haiyi Wang","doi":"10.1016/j.diii.2024.10.005","DOIUrl":"10.1016/j.diii.2024.10.005","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to assess the capabilities of MRI-based Node Reporting and Data System (Node-RADS) in diagnosing regional lymph node metastasis (RLNM) and to estimate its prognostic significance in patients with renal cell carcinomas (RCCs).</div></div><div><h3>Materials and methods</h3><div>Patients with RCC who underwent nephrectomy and regional lymph node dissection between January 2010 and August 2023 were retrospectively included. Two senior radiologists scored lymph nodes in consensus using MRI-based Node-RADS. The performance of MRI-based Node-RADS for the diagnosis of RLNM was estimated using area under receiver operating characteristic (AUC) curves and compared against size criteria. Three additional readers scored all lesions to assess interobserver agreement. Progression-free survival and overall survival were estimated and compared between patients with low (1–3) and high (4–5) scores.</div></div><div><h3>Results</h3><div>Overall, 216 patients with RCC were enrolled, including 58 with RLNM. There were 157 men and 59 women with a median age of 54 years (range: 8–83 years). Node-RADS showed larger AUC (0.93 [95 % confidence interval (CI): 0.87–0.97]) and higher specificity (96.8 % [95 % CI: 92.8–99.0]) compared to size criteria (0.88 [95 % CI: 0.83–0.94] and 87.3 % [95 % CI: 81.1–92.1], respectively) for the diagnosis of RLNM (<em>P</em> = 0.039 and <em>P</em> &lt; 0.001, respectively). Substantial interobserver agreement in Node-RADS scoring was obtained between the three readers (weighted κ, 0.75 [95 % CI: 0.69–0.80]). During a median follow-up of 56 months, patients with high Node-RADS score experienced poorer progression-free survival (<em>P</em> &lt; 0.001) and overall survival (<em>P</em> &lt; 0.001) than those with low Node-RADS score. At multivariable Cox regression analysis, Node-RADS was an independent variable associated with RCC prognosis after adjustment for confounders.</div></div><div><h3>Conclusions</h3><div>The MRI-based Node-RADS demonstrates notable performance in detecting RLNM and showed potential prognostic significance for RCCs.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 4","pages":"Pages 117-125"},"PeriodicalIF":4.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548403","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}