Diagnostic and Interventional Imaging最新文献

{"title":"Incremental diagnostic value of virtual non-contrast dual-energy CT for the diagnosis of choledocholithiasis over conventional unenhanced CT","authors":"Chang-Hui Xiao ,&nbsp;Peng Liu ,&nbsp;Hui-Hui Zhang ,&nbsp;Fan Yang ,&nbsp;Xiang Chen ,&nbsp;Feng Huang ,&nbsp;Jian-bin Liu ,&nbsp;Xian-Zheng Tan","doi":"10.1016/j.diii.2024.02.004","DOIUrl":"10.1016/j.diii.2024.02.004","url":null,"abstract":"<div><h3>Purpose</h3><p>The purpose of this study was to evaluate the incremental diagnostic value of virtual non-contrast (VNC) images derived from unenhanced dual-energy computed tomography (CT) for the diagnosis of choledocholithiasis by comparison with conventional unenhanced CT.</p></div><div><h3>Materials and methods</h3><p>Eighty-nine patients with gallbladder stones who had undergone both abdominal unenhanced dual-energy CT and magnetic resonance cholangiopancreatography (MRCP) were retrospectively included. There were 53 men and 36 women, with a mean age of 54 ± 13 (standard deviation) years (age range: 41–67 years). VNC and conventional CT images were generated. Two independent radiologists evaluated the presence of choledocholithiasis in three reading sessions (session 1, conventional unenhanced CT images; session 2, VNC images; session 3, conventional unenhanced CT plus VNC images). The reading time to identify choledocholithiasis was recorded. Inter-reader agreement was measured by using the Cohen kappa (κ) test. Incremental diagnostic value of VNC imaging when combined with conventional unenhanced CT was assessed based on discrimination (area under the curve [AUC]) and clinical utility (decision curve analysis). The diagnostic performance of dual-energy CT and that of MRCP were compared using DeLong test.</p></div><div><h3>Results</h3><p>Using the standard of reference, 39 patients (39/89; 44%) had choledocholithiasis. The diagnosis of choledocholithiasis was improved using VNC images in combination with conventional unenhanced CT (AUC, 0.877; 95% confidence interval [CI]: 0.808, 0.947) by comparison with conventional unenhanced CT alone (AUC, 0.789; 95% CI: 0.718, 0.877) (<em>P</em> = 0.033) and achieved almost perfect inter-reader agreement (κ = 0.88; 95% CI: 0.72, 1.00) for the diagnosis of choledocholithiasis, without lengthening the median reading time (16.2 s for the combination of conventional CT and VNC images <em>vs.</em> 14.7 s for conventional CT alone; <em>P</em> <em>=</em> 0<em>.</em>325). Based on decision curve analysis, adding VNC imaging to conventional unenhanced CT resulted in a higher net benefit among most of decision thresholds. No differences in diagnostic performance were found between the combination of conventional unenhanced CT and VNC imaging (AUC, 0.877; 95% CI: 0.808, 0.947) and MRCP (AUC, 0.913; 95% CI: 0.852, 0.974) (<em>P</em> <em>=</em> 0<em>.</em>458).</p></div><div><h3>Conclusions</h3><p>VNC images derived from dual-energy unenhanced CT have incremental diagnostic value for the diagnosis of choledocholithiasis. Unenhanced CT in a dual-energy mode may be a useful tool for the diagnosis of choledocholithiasis.</p></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211568424000391/pdfft?md5=4c5706cf63ae66a8b87affdf7553a8ee&pid=1-s2.0-S2211568424000391-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139913800","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":"The trade-off dilemma between radiation dose and image resolution","authors":"","doi":"10.1016/j.diii.2024.06.006","DOIUrl":"10.1016/j.diii.2024.06.006","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141471765","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":"Canadian radiology: 2024 update.","authors":"Jason Yao, Birgit B Ertl-Wagner, Jérémy Dana, Kate Hanneman, Mohammed Kashif Al-Ghita, Lulu Liu, Matthew D F McInnes, Savvas Nicolaou, Caroline Reinhold, Michael N Patlas","doi":"10.1016/j.diii.2024.06.004","DOIUrl":"https://doi.org/10.1016/j.diii.2024.06.004","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-27","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":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next-generation oncology radiotracers for a promising personalized medicine","authors":"","doi":"10.1016/j.diii.2024.06.003","DOIUrl":"10.1016/j.diii.2024.06.003","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141471764","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":"Artificial intelligence in radiotherapy: Current applications and future trends.","authors":"Paul Giraud, Jean-Emmanuel Bibault","doi":"10.1016/j.diii.2024.06.001","DOIUrl":"https://doi.org/10.1016/j.diii.2024.06.001","url":null,"abstract":"<p><p>Radiation therapy has dramatically changed with the advent of computed tomography and intensity modulation. This added complexity to the workflow but allowed for more precise and reproducible treatment. As a result, these advances required the accurate delineation of many more volumes, raising questions about how to delineate them, in a uniform manner across centers. Then, as computing power improved, reverse planning became possible and three-dimensional dose distributions could be generated. Artificial intelligence offers the opportunity to make such workflow more efficient while increasing practice homogeneity. Many artificial intelligence-based tools are being implemented in routine practice to increase efficiency, reduce workload and improve homogeneity of treatments. Data retrieved from this workflow could be combined with clinical data and omic data to develop predictive tools to support clinical decision-making process. Such predictive tools are at the stage of proof-of-concept and need to be explainatory, prospectively validated, and based on large and multicenter cohorts. Nevertheless, they could bridge the gap to personalized radiation oncology, by personalizing oncologic strategies, dose prescriptions to tumor volumes and dose constraints to organs at risk.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141451976","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":"Daiju Ueda, Shannon L Walston, Shohei Fujita, Yasutaka Fushimi, Takahiro Tsuboyama, Koji Kamagata, Akira Yamada, Masahiro Yanagawa, Rintaro Ito, Noriyuki Fujima, Mariko Kawamura, Takeshi Nakaura, Yusuke Matsui, Fuminari Tatsugami, Tomoyuki Fujioka, Taiki Nozaki, Kenji Hirata, Shinji Naganawa","doi":"10.1016/j.diii.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.diii.2024.06.002","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-24","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":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Apparent diffusion coefficient analysis of solid tissue helps distinguish borderline from invasive malignant adnexal masses rated O-RADS MRI 4","authors":"","doi":"10.1016/j.diii.2024.05.004","DOIUrl":"10.1016/j.diii.2024.05.004","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to evaluate the contribution of apparent diffusion coefficient (ADC) analysis of the solid tissue of adnexal masses to optimize tumor characterization and possibly refine the risk stratification of the O-RADS MRI 4 category.</div></div><div><h3>Materials and methods</h3><div>The EURAD cohort was retrospectively analyzed to select all patients with an adnexal mass with solid tissue and feasible ADC measurements. Two radiologists independently measured the ADC values of solid tissue, excluding necrotic areas, surrounding structures, and magnetic susceptibility artifacts. Significant differences in diffusion quantitative parameters in the overall population and according to the morphological aspect of solid tissue were analyzed to identify its impact on ADC reliability. Receiver operating characteristics curve (ROC) was used to determine the optimum cutoff of the ADC for distinguishing invasive from non-invasive tumors in the O-RADS MRI score 4 population.</div></div><div><h3>Results</h3><div>The final study population included 180 women with a mean age of 57 ± 15.5 (standard deviation) years; age range: 19–95 years) with 93 benign, 23 borderline, and 137 malignant masses. The median ADC values of solid tissue was greater in borderline masses (1.310 × 10⁻³ mm²/s (Q1, Q3: 1.152, 1.560 × 10⁻³ mm²/s) than in benign masses (1.035 × 10⁻³ mm²/s; Q1, Q3: 0.900, 1.560 × 10⁻³ mm²/s) (<em>P</em> <em>=</em> 0.002) and in benign tumors compared by comparison with invasive masses (0.850 × 10⁻³ mm²/s; Q1, Q3: 0.750, 0.990 × 10⁻³ mm²/s) (<em>P</em> &lt; 0.001). Solid tissue corresponded to irregular septa or papillary projection in 18.6% (47/253), to a mural nodule or a mixed mass in 46.2% (117/253), and to a purely solid mass in 35.2% (89/253) of adnexal masses. In mixed masses or masses with mural nodule subgroup, invasive masses had a significantly lower ADC (0.830 × 10⁻³ mm²/s (Q1, Q3: 0.738, 0.960) than borderline (1.385; Q1, Q3: 1.300, 1.930) (<em>P</em> <em>=</em> 0.0012) and benign masses (<em>P</em> <em>=</em> 0.04). An ADC cutoff of 1.08 × 10⁻³ mm²/s yielded 71.4% sensitivity and 100% specificity for identifying invasive lesions in the mixed or mural nodule subgroup with an AUC of 0.92 (95% confidence interval: 0.76–0.99).</div></div><div><h3>Conclusion</h3><div>ADC analysis of solid tissue of adnexal masses could help distinguish invasive masses within the O-RADS MRI 4 category, especially in mixed masses or those with mural nodule.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141327992","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":"Alexis Guédon, Francesco Arpaia, Cédric Thépenier, Michael Eliezer, Saulo Villas Boas Alves, Jean-Pierre Saint-Maurice, Emmanuel Houdart","doi":"10.1016/j.diii.2024.05.005","DOIUrl":"https://doi.org/10.1016/j.diii.2024.05.005","url":null,"abstract":"<p><strong>Purpose: </strong>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).</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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 (P < 0.05) and the ipsilateral side of the control group (P < 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) (P = 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 < 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).</p><p><strong>Conclusion: </strong>Temporal bone thickness is significantly reduced downstream of the stenosis on the pulsatile tinnitus side and may be a good indicator of symptomatic TSS.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-06-11","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":"Improving image quality of the middle ear with ultra-high-resolution CT coupled with deep-learning image reconstruction algorithm","authors":"Joël Greffier,&nbsp;Philippe Soyer,&nbsp;Djamel Dabli","doi":"10.1016/j.diii.2024.02.006","DOIUrl":"10.1016/j.diii.2024.02.006","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139941052","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 of chronic thromboembolic pulmonary hypertension before, during and after balloon pulmonary angioplasty","authors":"Alfredo Páez-Carpio ,&nbsp;Ivan Vollmer ,&nbsp;Federico X. Zarco ,&nbsp;Mario Matute-González ,&nbsp;Blanca Domenech-Ximenos ,&nbsp;Elena Serrano ,&nbsp;Joan A. Barberà ,&nbsp;Isabel Blanco ,&nbsp;Fernando M. Gómez","doi":"10.1016/j.diii.2024.02.005","DOIUrl":"10.1016/j.diii.2024.02.005","url":null,"abstract":"<div><p>Balloon pulmonary angioplasty (BPA) has recently been elevated as a class I recommendation for the treatment of inoperable or residual chronic thromboembolic pulmonary hypertension (CTEPH). Proper patient selection, procedural safety, and post-procedural evaluation are crucial in the management of these patients, with imaging work-up playing a pivotal role. Understanding the diagnostic and therapeutic imaging algorithms of CTEPH, the imaging features of patients amenable to BPA, all imaging findings observed during and immediately after the procedure and the changes observed during the follow-up is crucial for all interventional radiologists involved in the care of patients with CTEPH. This article illustrates the imaging work-up of patients with CTEPH amenable to BPA, the imaging findings observed before, during and after BPA, and provides a detailed description of all imaging modalities available for CTEPH evaluation.</p></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211568424000408/pdfft?md5=e985f4e57d0266a1c4dc08eb7fd99493&pid=1-s2.0-S2211568424000408-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139984178","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}