Evidence map›Paper›PMID 27857888›Full record

ArticleInternational journal of applied & basic medical research

The "Triple-Q Algorithm:" A practical approach to the identification of liver topography.

Omar Bekdache, Ahmad Zarour, Ayman El-Menyar, Yassir Abdulrahman, Husham Abdelrahman, Mohammad Ellabib, Ruben Peralta, Hassan Al-Thani

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Article in International journal of applied & basic medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Omar BekdacheDepartment 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.
Ahmad ZarourDepartment of Surgery, Acute Care Surgery Section, Hamad Medical Corporation, Doha, Qatar.
Ayman El-MenyarDepartment of Surgery, Section of Trauma Surgery, Clinical Research, Hamad Medical Corporation, Doha, Qatar; Department of Clinical Medicine Clinical Medicine, Weill Cornell Medical College, Doha, Qatar.
Yassir AbdulrahmanDepartment of Surgery, Section of Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Husham AbdelrahmanDepartment of Surgery, Section of Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Mohammad EllabibDepartment of Surgery, Section of Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Ruben PeraltaDepartment of Surgery, Section of Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Hassan Al-ThaniDepartment of Surgery, Section of Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Hepatic topographyliver segmentationnomenclature of liver anatomy

Identifiers

PMID27857888
PMCPMC5108097

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