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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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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. |
format | Online Article Text |
id | pubmed-5108097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
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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