In 2008, CT colonography was approved by the American Cancer Society as a technique for screening for colorectal cancer. This approval should be considered an important step in the recognition of the technique, which although still relatively new is already changing some diagnostic algorithms. This update about CT colonography reports the quality parameters necessary for a CT colonographic study to be diagnostic and reviews the technical innovations and colonic preparation for the study. We provide a brief review of the signs and close with a discussion of the current indications for and controversies about the technique.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.rx.2011.01.009 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Computer Vision and Image Processing Lab., UofL, Louisville, KY, 40292, USA.
Purpose: This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even with limited data annotation, which enhances the overall effectiveness of the CT colonography pipeline in clinical settings.
Methods: The proposed approach integrates 3D contextual information via guided sequential episodic training in which a query CT slice is segmented by exploiting its previous labeled CT slice (i.e.
Background: Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC).
Methods: This retrospective study investigated 263 patients with CRC who underwent contrast-enhanced CTC (CE-CTC) before curative surgery between January 2014 and December 2017.
Colomb Med (Cali)
November 2024
Bezmi Alem Vakif University, Faculty of Medicine, Istanbul, Turkey Bezmi Alem Vakif University Bezmi Alem Vakif University Faculty of Medicine Istanbul Turkey.
Background: Morphological properties such as length and tortuosity of the large intestine segments play important roles, especially in interventional procedures like colonoscopy.
Objective: Using computed tomography (CT) colonoscopy images, this study aimed to examine the morphological features of the colon's anatomical sections and investigate the relationship of these sections with each other or with age groups. The shapes of the transverse colon were analyzed using artificial intelligence.
Clin Radiol
January 2025
Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, UK. Electronic address:
Aim: Although standardised summary codes to classify colonic findings (C-codes) on computed tomography colonography (CTC) have been used for several years, there is no clear guidance on how these codes should be interpreted. The aims of this study were to (1) establish CTC C-code demographics and reporting practice at our hospital and (2) determine the agreement between CTC reporters when using C-codes.
Materials And Methods: Waiving ethical approval, this online questionnaire study invited all radiologists, reporting radiographers and radiology trainees who reported CTC at our hospital between 22/02/2023 and 05/03/2023.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!