journal article·2021-05-22Open access

Assessment of Imaging Protocol and Patients Radiation Exposure in Computed Tomography Colonography

Mohammed Alsufayan, Abdelmoneim Sulieman, Rayan Moslem, Abdullah Asiri, Abdullah Alomary, Bandar M. Alanazi, Hassan Aldossari, Batil Alonazi, David A. Bradley

Applied Sciences· Volume 11· Issue 11

Abstract

In the screening and identifying of colon and rectum malignancy, computed tomography colonography (CTC) is a highly effective imaging technique, albeit patients receiving a significant effective dose. Accordingly, patient dose evaluation is an important need, seeking to ensure benefits outweigh the projected cancer risk. Objective: For CTC procedures carried out in the Radiology Department, Medical Imaging Operation Services, King Fahad Medical City (KFMC), evaluation is done using the current American College of Radiology (ACR) imaging protocol and concomitant patient-effective doses. Study is carried out on a sample size of 55 CTC procedures, involving 25 males (45%) and 30 females (55%). The patients were classified as follows: two groups based on CT machine; four groups based on the applied protocol; and three groups based on the procedure results. All procedures were carried out using two machines, the products of two different vendors (a GE Healthcare DISCOVERY CT 750 HD 64 slices dual-energy scanner and a Philips Brilliance CT 64 slices scanner). The overall mean, standard deviation (SD), median, and range of the effective dose (in mSv) were 11.57 ± 7.75, 9.25 (2.17–31.93). Automatic tube current modulation (ATCM) shows a significant increase in CTDIvol up to 69% and effective dose (mSv) up to 95% than the manual tube current (mA) compared to the standard protocol. The CT protocol variation results in a three-fold variation in patient-effective dose. The technologist role is crucial in selecting a noise reference based on patient weight and adjusting tube current per slice to avoid overexposure during ATCM protocol.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced X-ray and CT Imaging · Radiation Dose and Imaging · Radiomics and Machine Learning in Medical Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Radiology Department, King Fahad Medical City, P.O. Box 59042, Riyadh 11525, Saudi Arabia

Radiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, P.O. Box 425, Alkharj 11942, Saudi Arabia

Medical Imaging Department, King Saud Medical City, Riyadh 12746, Saudi Arabia

Radiology Department, King Khalid Hospital, Ministry of Health, P.O. Box 1825, Hail 66262, Saudi Arabia

Centre for Nuclear and Radiation Physics, Department of Physics, University of Surrey, Guildford GU2 7XH, UK

Centre for Biomedical Physics, Sunway University, Subang Jaya 47500, Malaysia

Funding

Prince Sattam bin Abdulaziz University

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