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The “Triple-Q Algorithm:” A practical approach to the identification of liver topography

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 wer...

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Autores principales: Bekdache, Omar, Zarour, Ahmad, El-Menyar, Ayman, Abdulrahman, Yassir, Abdelrahman, Husham, Ellabib, Mohammad, Peralta, Ruben, Al-Thani, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108097/
https://www.ncbi.nlm.nih.gov/pubmed/27857888
http://dx.doi.org/10.4103/2229-516X.192588
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author Bekdache, Omar
Zarour, Ahmad
El-Menyar, Ayman
Abdulrahman, Yassir
Abdelrahman, Husham
Ellabib, Mohammad
Peralta, Ruben
Al-Thani, Hassan
author_facet Bekdache, Omar
Zarour, Ahmad
El-Menyar, Ayman
Abdulrahman, Yassir
Abdelrahman, Husham
Ellabib, Mohammad
Peralta, Ruben
Al-Thani, Hassan
author_sort Bekdache, Omar
collection PubMed
description 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.
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spelling pubmed-51080972016-11-17 The “Triple-Q Algorithm:” A practical approach to the identification of liver topography Bekdache, Omar Zarour, Ahmad El-Menyar, Ayman Abdulrahman, Yassir Abdelrahman, Husham Ellabib, Mohammad Peralta, Ruben Al-Thani, Hassan Int J Appl Basic Med Res Educational Forum 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. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC5108097/ /pubmed/27857888 http://dx.doi.org/10.4103/2229-516X.192588 Text en Copyright: © 2016 International Journal of Applied and Basic Medical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Educational Forum
Bekdache, Omar
Zarour, Ahmad
El-Menyar, Ayman
Abdulrahman, Yassir
Abdelrahman, Husham
Ellabib, Mohammad
Peralta, Ruben
Al-Thani, Hassan
The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
title The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
title_full The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
title_fullStr The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
title_full_unstemmed The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
title_short The “Triple-Q Algorithm:” A practical approach to the identification of liver topography
title_sort “triple-q algorithm:” a practical approach to the identification of liver topography
topic Educational Forum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108097/
https://www.ncbi.nlm.nih.gov/pubmed/27857888
http://dx.doi.org/10.4103/2229-516X.192588
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