Related Experiment Video
Updated: Mar 11, 2026
08:41
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
Published on: March 24, 2023
1.9K
The "Triple-Q Algorithm:" A practical approach to the identification of liver topography
Omar Bekdache1, Ahmad Zarour2, Ayman El-Menyar3
1Department of Surgery, Section of Trauma Surgery, Tawam Hospital, Al Ain, United Arab Emirates, Qatar; Department of Surgery, Section of Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
International Journal of Applied & Basic Medical Research
|November 19, 2016
Summary
A new algorithm, the Triple-Q Algorithm, simplifies describing liver pathology locations. This approach aims to unify terminology and improve understanding for junior physicians in medical education and patient care.
Area of Science:
- Hepatology
- Medical Education
- Medical Terminology
Background:
- Liver pathology interpretation and description face challenges, particularly for trainees.
- Inconsistent terminology exists in liver segmentation between French and American medical literature.
Purpose of the Study:
- To propose a simplified, unified nomenclature for describing liver pathology locations.
- To introduce the "Triple-Q Algorithm" to standardize liver topography descriptions.
Main Methods:
- Development of a three-question algorithm for describing liver pathology location.
- Detailed explanations provided for answering the algorithm's questions.
Main Results:
- The Triple-Q Algorithm offers a straightforward method for locating liver pathologies.
- Standardized descriptions can enhance clarity in medical reports.
Conclusions:
- The Triple-Q Algorithm can facilitate understanding of liver topography for junior physicians.
- Adoption of this algorithm may improve accurate description and localization of liver lesions.
- Further validation through prospective studies is recommended for academic and clinical implications.
