Clinical Imaging最新文献_第9页

Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray 人工智能模型在胸部 X 光检测气胸方面的诊断性能。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-11-12 DOI: 10.1016/j.clinimag.2024.110355

Caterina Beatrice Monti , Lorenzo Maria Giuseppe Bianchi , Francesco Rizzetto , Luca Alessandro Carbonaro , Angelo Vanzulli

{"title":"Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray","authors":"Caterina Beatrice Monti , Lorenzo Maria Giuseppe Bianchi , Francesco Rizzetto , Luca Alessandro Carbonaro , Angelo Vanzulli","doi":"10.1016/j.clinimag.2024.110355","DOIUrl":"10.1016/j.clinimag.2024.110355","url":null,"abstract":"<div><h3>Purpose</h3><div>Pneumothorax (PTX) is a common clinical urgency, its diagnosis is usually performed on chest radiography (CXR), and it presents a setting where artificial intelligence (AI) methods could find terrain in aiding radiologists in facing increasing workloads. Hence, the purpose of our study was to test an AI system for the detection of PTX on CXR examinations, to review its diagnostic performance in such setting alongside that of reading radiologists.</div></div><div><h3>Method</h3><div>We retrospectively ran an AI system on CXR examinations of patients who were imaged for the suspicion of PTX, and who also underwent computed tomography (CT) within the same day, the latter being used as reference standard. The performance of the proposed AI system was compared to that of reading radiologists, obtained from CXR reports.</div></div><div><h3>Results</h3><div>Overall, the AI system achieved an accuracy of 74 % (95%CI 68–79 %), with a sensitivity of 66 % (95%CI 59–73 %) and a specificity of 93 % (95%CI 85–97 %). Human readers displayed a comparable accuracy (77 %, 95%CI 71–82 %, <em>p</em> = 0.355), with higher sensitivity (73 %, 95%CI 66–79 %, <em>p</em> = 0.040), albeit lower specificity (85 %, 95%CI 75–91 %, <em>p</em> = 0.034). The performance of AI was influenced by patient positioning at CXR (<em>p</em> = 0.040).</div></div><div><h3>Conclusions</h3><div>The proposed tool could represent an aid to radiologists in detecting PTX, improving specificity. Further improvement with training on more challenging cases may pave the way for its use as a screening or standalone tool.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"117 ","pages":"Article 110355"},"PeriodicalIF":1.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Minimizing prostate diffusion weighted MRI examination time through deep learning reconstruction 通过深度学习重建最大限度缩短前列腺弥散加权磁共振成像检查时间

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-11-05 DOI: 10.1016/j.clinimag.2024.110341

Rory L. Cochran , Eugene Milshteyn , Soumyadeep Ghosh , Nabih Nakrour , Nathaniel D. Mercaldo , Arnaud Guidon , Mukesh G. Harisinghani

{"title":"Minimizing prostate diffusion weighted MRI examination time through deep learning reconstruction","authors":"Rory L. Cochran , Eugene Milshteyn , Soumyadeep Ghosh , Nabih Nakrour , Nathaniel D. Mercaldo , Arnaud Guidon , Mukesh G. Harisinghani","doi":"10.1016/j.clinimag.2024.110341","DOIUrl":"10.1016/j.clinimag.2024.110341","url":null,"abstract":"<div><h3>Purpose</h3><div>To study the diagnostic image quality of high b-value diffusion weighted images (DWI) derived from standard and variably reduced datasets reconstructed with a commercially available deep learning reconstruction (DLR) algorithm.</div></div><div><h3>Materials and methods</h3><div>This was a retrospective study of 52 patients undergoing conventional prostate MRI with raw image data reconstructed using both conventional 2D Cartesian and DLR algorithms. Simulated shortened DWI acquisition times were performed by reconstructing images using DLR datasets harboring a reduced number of excitations (NEX). Two radiologists independently evaluated the image quality using a 4-point Likert scale. Signal-to-noise ratio (SNR) analysis was performed for the entire cohort and a subset of patients identified as having clinically significant prostate cancer identified at MRI, and later confirmed by pathology.</div></div><div><h3>Results</h3><div>Radiologists perceived less image noise for both restricted and large field of view (FOV) standard NEX dataset DLR diffusion images compared to conventionally reconstructed images with good interreader agreement. Diagnostic image quality was maintained for all DLR images using variably reduced NEX compared to conventionally reconstructed images employing the standard NEX. Improved signal to noise was observed for the restricted FOV DLR images compared to conventional reconstruction using standard NEX. DLR diffusion images derived from reduced NEX datasets translated to time reductions of up to 68 % and 39 % for the restricted and large FOV series acquisitions, respectively.</div></div><div><h3>Conclusion</h3><div>DLR of diffusion weighted images can reduce image noise at standard NEX and potentially reduce prostate MRI exam time when utilizing reduced NEX datasets without sacrificing diagnostic image quality.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"117 ","pages":"Article 110341"},"PeriodicalIF":1.8,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beyond the surface: A comprehensive radiological review of primary retroperitoneal neoplasms 超越表面：原发性腹膜后肿瘤的全面放射学回顾

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-11-02 DOI: 10.1016/j.clinimag.2024.110340

Yagmur Basak Polat, Mehmet Ali Gultekin, Ahmet Akcay, Ummuhan Ebru Karabulut, Bahar Atasoy, Huseyin Toprak

{"title":"Beyond the surface: A comprehensive radiological review of primary retroperitoneal neoplasms","authors":"Yagmur Basak Polat, Mehmet Ali Gultekin, Ahmet Akcay, Ummuhan Ebru Karabulut, Bahar Atasoy, Huseyin Toprak","doi":"10.1016/j.clinimag.2024.110340","DOIUrl":"10.1016/j.clinimag.2024.110340","url":null,"abstract":"<div><div>Primary retroperitoneal neoplasms (PRNs) are a complex and diverse group of tumors arising in the retroperitoneal space, excluding those from retroperitoneal organs. These masses present significant diagnostic challenges due to their heterogeneous nature. PRNs primarily include sarcomas, neurogenic tumors, extragonadal germ cell tumors, and lymphomas, with the majority being malignant. This necessitates thorough evaluation by radiologists to assess resectability and the need for biopsy.</div><div>Liposarcomas, the most common primary retroperitoneal sarcomas, and leiomyosarcomas, known for potential vessel involvement, exhibit distinct imaging patterns aiding differentiation. Neurogenic tumors, originating from nerve sheath, ganglionic, or paraganglionic cells, often appear in younger patients and have characteristic imaging features. Primary retroperitoneal extragonadal germ cell tumors are rare and are believed to originate from primordial germ cells that do not successfully migrate during embryonic development. Lymphomas are generally homogeneous on cross-sectional imaging; however, non-Hodgkin lymphomas can sometimes appear heterogeneous, complicating differentiation from other non-lipomatous retroperitoneal masses. Additionally, conditions like retroperitoneal fibrosis and Erdheim-Chester disease can mimic PRNs, complicating diagnosis and management.</div><div>This review aims to provide radiologists with essential diagnostic points for identifying PRNs, emphasizing the importance of precise imaging interpretation. Understanding these distinctions is vital for guiding clinical management and optimizing patient outcomes.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"116 ","pages":"Article 110340"},"PeriodicalIF":1.8,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing imaging findings of renal masses associated with pathogenic variations in the succinate dehydrogenase subunit B gene using ChatGPT 利用 ChatGPT 增强与琥珀酸脱氢酶亚基 B 基因致病变异有关的肾肿块的成像结果

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-31 DOI: 10.1016/j.clinimag.2024.110339

Abdul Rahman, Baseera A., Shahab Saquib Sohail

引用次数: 0

Doing the heavy lifting: I saw the “dumbbell” sign 举重我看到了 "哑铃 "标志

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-31 DOI: 10.1016/j.clinimag.2024.110337

Enrique José Catalá , Paulina Cardozo , Hernán Chaves

引用次数: 0

Emerging complications in the era of COVID-19 vaccination: role of radiologists and imaging COVID-19 疫苗接种时代新出现的并发症：放射科医生和影像学的作用。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-31 DOI: 10.1016/j.clinimag.2024.110338

Namratha Guruvaiah Sridhara , Nanditha Guruvaiah Sridhara , Janardhana Ponnatapura

引用次数: 0

Exploring the accuracy of embedded ChatGPT-4 and ChatGPT-4o in generating BI-RADS scores: a pilot study in radiologic clinical support 探索嵌入式 ChatGPT-4 和 ChatGPT-4o 生成 BI-RADS 评分的准确性：放射临床支持中的试点研究。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-30 DOI: 10.1016/j.clinimag.2024.110335

Dan Nguyen , Arya Rao , Aneesh Mazumder , Marc D. Succi

引用次数: 0

Collaborative approach to the integration of radiology teaching into clinical clerkships 将放射学教学融入临床实习的合作方法。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-29 DOI: 10.1016/j.clinimag.2024.110336

Lily M. Belfi , Anna Starikov , Grace Lo , Bryan C. Leppert , Demitri J. Merianos , Katherine Penziner , Zoe Verzani , June M. Chan

引用次数: 0

Clinical and imaging aspects of pulmonary embolism: a primer for radiologists 肺栓塞的临床和影像学问题：放射科医生入门指南》（Clinical and imaging aspects of pulmonary embolism: a primer for radiologists）。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-23 DOI: 10.1016/j.clinimag.2024.110328

Syed Muhammad Awais Bukhari , Joshua G. Hunter , Kaustav Bera , Charit Tippareddy , Cody Reid Johnson , Shweta Ravi , Shashwat Chakraborti , Robert Chapman Gilkeson , Amit Gupta

{"title":"Clinical and imaging aspects of pulmonary embolism: a primer for radiologists","authors":"Syed Muhammad Awais Bukhari , Joshua G. Hunter , Kaustav Bera , Charit Tippareddy , Cody Reid Johnson , Shweta Ravi , Shashwat Chakraborti , Robert Chapman Gilkeson , Amit Gupta","doi":"10.1016/j.clinimag.2024.110328","DOIUrl":"10.1016/j.clinimag.2024.110328","url":null,"abstract":"<div><div>Although many advancements have been made in imaging modalities that can be used to diagnose pulmonary embolism (PE), computed tomography pulmonary angiography (CTPA) is still the preferred gold standard for promptly diagnosing pulmonary embolism by looking for filling defects caused by the embolus lodged within the main pulmonary artery or its respective branches. The diagnosis is made by the radiologists in emergency settings where quick detection of a PE on CTPA helps the Pulmonary Embolism Response Team (PERT) in quick management. Thus, utmost care is needed to follow standard image acquisition protocols and optimal contrast administration techniques to achieve a contrast opacification of at least 210 Hounsfield units for the radiologists to easily pinpoint an embolus within the pulmonary arteries. Even following proper CTPA scan acquisition guidelines, a CTPA image is prone to several artifacts that can be mistaken for a PE, resulting in a false positive read. In addition to this, many incidental findings, that can be the etiology of chest pain in a PE-suspected patient, are often overlooked by emergency radiologists who try to be as quick as possible in their read so that timely management of PE can be ensued. Taking this into account, our review paper provides the audience with a comprehensive understanding of the clinical aspects of pulmonary embolism and the imaging modalities used for PE detection. The main focus is on CTPA, its acquisition protocols, and the various incidental findings and artifacts to look for while interpreting a CTPA scan.</div></div><div><h3>Précis</h3><div>Beyond the filling defects, a CTPA scan should also be assessed by the radiologists for any incidental findings while keeping in mind several associated pitfalls and artifacts of CTPA.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"117 ","pages":"Article 110328"},"PeriodicalIF":1.8,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Imaging of necrotizing fasciitis 坏死性筋膜炎的影像学检查

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-10-23 DOI: 10.1016/j.clinimag.2024.110331

Sergey Kochkine , David L. Payne , Katherine Chung , David Chen , Mark P. Bernstein , Alexander B. Baxter , John M. McMenamy

引用次数: 0