Background: "Perspective-filet view" is a novel three-dimensional (3D) viewing technique for computed tomography colonography (CTC). Studies with experienced readers have shown a sensitivity for perspective-filet view similar to that of 2D or 3D endoluminal fly-through in detection of colorectal lesions. It is not known whether perspective-filet view, compared to axial images, improves lesion detection by inexperienced readers.
Purpose: To compare primary 3D analysis using perspective-filet view (3D Filet) with primary 2D analysis, as used by inexperienced CTC readers. Secondary aims were to compare lesion detection by 3D Filet when used by experienced and inexperienced readers, and to evaluate the effect of combined 3D Filet + 2D analysis.
Material And Methods: Fifty symptomatic patients were prospectively enrolled. An experienced reader performed 3D Filet analysis followed by complete 2D analysis (3D Filet + 2D), before colonoscopy with segmental unblinding. Two inexperienced readers (readers 2 and 3), blinded to CTC and colonoscopy findings, retrospectively performed 3D Filet analysis and, after 5 weeks, 2D analysis. True positives >or=6 mm detected by the inexperienced readers with 3D Filet and/or 2D were combined to obtain 3D Filet + 2D.
Results: Colonoscopy revealed 116 lesions: 16 lesions >or=10 mm, 19 lesions 6-9 mm, and 81 lesions
Conclusion: Lesion detection by inexperienced readers using perspective-filet view is comparable to that obtained by 2D. Lesion detection improves by combining 3D Filet + 2D, but not to the level of an experienced reader.
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http://dx.doi.org/10.1080/02841850802714797 | DOI Listing |
Rofo
November 2024
Klinikum Lippe, Department of Diagnostic and Interventional Radiology, Bielefeld University, Medical School and University Medical Center OWL, Detmold, Germany.
Contrast-enhanced CT is the standard imaging technique in oncological objectives. Rates of missed pathologies depend on work experience of the respective radiologists. Thus the aim of this study is to analyze the eye movements of professionals while reading CT images in order to evaluate whether the eye-fixation patterns and search strategies of experienced radiologists could explain higher detection rates of pathologies and whether such patterns can be learned.
View Article and Find Full Text PDFScand J Prim Health Care
September 2024
Research and Development Unit in Region Östergötland, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Young adults experiencing unfamiliar symptoms commonly seek health information online. This study's aim was to explore how health information websites express and communicate health information about symptoms common among young adults and guide readers in regard to health, illness, and care. Symptoms commonly searched for by young adults were used as search terms.
View Article and Find Full Text PDFBackground: In spinal revision surgery, previous pedicle screws (PS) may need to be replaced with new implants. Failure to accurately identify the brand of PS-based instrumentation preoperatively may increase the risk of perioperative complications. This study aimed to develop and validate an optimal deep learning (DL) model to identify the brand of PS-based instrumentation on plain radiographs of spine (PRS) using anteroposterior (AP) and lateral images.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2024
Department of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
[This corrects the article DOI: 10.3389/fendo.2024.
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