
The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
Author(s) -
Omar Bekdache,
Ahmad Zarour,
Ayman ElMenyar,
Yassir Abdulrahman,
Husham Abdelrahman,
Mohammad Ellabib,
Rubén Peralta,
Hassan AlThani
Publication year - 2016
Publication title -
international journal of applied and basic medical research/international journal of applied and basic medical research
Language(s) - English
Resource type - Journals
eISSN - 2248-9606
pISSN - 2229-516X
DOI - 10.4103/2229-516x.192588
Subject(s) - identification (biology) , terminology , algorism , computer science , segmentation , algorithm , pathology , artificial intelligence , medicine , medical physics , mathematics , linguistics , biology , philosophy , botany , arithmetic
The descriptive identification and interpretation of liver pathology continue to raise debate, especially for trainees and junior physicians. There is wide diversity in the description of liver segmentation with sometimes contradictory terminology between French and American literature. Attempts were made to create a unified nomenclature that simplifies the problem. We propose a simple approach to describe the location of liver pathology in different settings by referring to an algorithm based on three questions. Explanations to answer these questions and correctly describe the location of liver pathology are herein described. In conclusion, we think that the adoption of such an algorithm called arbitrary "the Triple-Q Algorithm" will facilitate the understanding of liver topography for the young physicians, as well as it will allow for the accurate description and localization of the pathological lesions in the liver. This could be achieved after testing and validating this algorism in prospective studies. This could have academic and clinical implications in the medical education and the patient care.