journal article·2021-03-10Open access

Low Radiation Dose Implications in Obese Abdominal Computed Tomography Imaging

Abdulaziz A. Qurashi, Louise A. Rainford, Fahad H. Alhazmi, Khalid M. Alshamrani, Abdelmoneim Sulieman, Walaa M. Alsharif, Sultan A. Alshoabi, Moawia B. Gameraddin, Khalid M. Aloufi, Shrooq T. Aldahery, Shane J. Foley

Applied Sciences· Volume 11· Issue 6

Abstract

The aim of this study was to evaluate the implications of low radiation dose in abdominal computed tomography (CT) when combined with noise reduction filters and to see if this approach can overcome the challenges that arise while scanning obese patients. Anthropomorphic phantoms layered with and without 3-cm-thick circumferential animal fat packs to simulate different sized patients were scanned using a 128-slice multidetector CT (MDCT) scanner. Abdominal protocols (n = 12) were applied using various tube currents (150, 200, 250, and 300 mA) and tube voltages (100, 120, and 140 kVp). MOSFET dosimeters measured the internal organ dose. All images were reconstructed with filtered back projection (FBP) and different iterative reconstruction (IR) strengths (SAFIRE 3, SAFIRE 4, and SAFIRE 5) techniques and objective noise was measured within three regions of interests (ROIs) at the level of L4–L5. Organ doses varied from 0.34–56.2 mGy; the colon received the highest doses for both phantom sizes. Compared to the normal-weighted phantom, the obese phantom was associated with an approximately 20% decrease in effective dose. The 100 kVp procedure resulted in a 40% lower effective dose (p < 0.05) compared to at 120 kVp and the associated noise increase was improved by increasing the IR (5) use, which resulted in a 60% noise reduction compared to when using FBP (p < 0.05). When combined with iterative reconstruction, the low-kVp approach is feasible for obese patients in order to optimize radiation dose and maintain objective image quality.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Radiation Dose and Imaging · Advanced X-ray and CT Imaging · Cardiac Imaging and Diagnostics

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

Affiliations

Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Al-Madinah 12512, Saudi Arabia

Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, 4 Dublin, Ireland

College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah 21423, Saudi Arabia

King Abdullah International Medical Research Center, Jeddah 21423, Saudi Arabia

Department of Radiology and Medical Imaging, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, P.O. Box 422, Alkharj 11942, Saudi Arabia

Applied Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Jeddah 21512, Saudi Arabia

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