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A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆

PURPOSE: Laparoscopic cholecystectomy (LC) has become the treatment of choice for cholelithiasis. Still some patients required conversion to open cholecystectomy (OC). Our aim was to develop a standardized Ultrasound based scoring system for preoperative prediction of difficult LC. METHODS AND MATER...

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Autores principales: Siddiqui, Mohammed Azfar, Rizvi, Syed Amjad A., Sartaj, Sara, Ahmad, Ibne, Rizvi, Syed Wajahat A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029324/
https://www.ncbi.nlm.nih.gov/pubmed/30065497
http://dx.doi.org/10.1016/j.jmu.2017.09.001
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author Siddiqui, Mohammed Azfar
Rizvi, Syed Amjad A.
Sartaj, Sara
Ahmad, Ibne
Rizvi, Syed Wajahat A.
author_facet Siddiqui, Mohammed Azfar
Rizvi, Syed Amjad A.
Sartaj, Sara
Ahmad, Ibne
Rizvi, Syed Wajahat A.
author_sort Siddiqui, Mohammed Azfar
collection PubMed
description PURPOSE: Laparoscopic cholecystectomy (LC) has become the treatment of choice for cholelithiasis. Still some patients required conversion to open cholecystectomy (OC). Our aim was to develop a standardized Ultrasound based scoring system for preoperative prediction of difficult LC. METHODS AND MATERIALS: Ultrasound findings of 300 patients who underwent LC were reviewed retrospectively. Four parameters (time taken, biliary leakage, duct or arterial injury, and conversion) were analyzed to classify LC as easy or difficult. The following ultrasound findings were analyzed: GB wall thickness, pericholecystic collection, distended GB, impacted stones, multiple stones, CBD diameter and liver size. Out of seven parameters, four were statistically significant in our study. A score of 2 was assigned for the presence of each significant finding and a score of 1 was assigned for the remaining parameters to a total score of 11. A cut-off value of 5 was taken to predict easy and difficult LC. RESULTS: 66 out of 83 cases of difficult LC and 199 out of 217 cases of easy LC were correctly predicted on the basis of scoring system. A score of >5 had sensitivity 80.7% and specificity 91.7% for correctly identifying difficult LC. Prediction came true in 78.8% difficult and 92.6% easy cases. US findings of GB wall thickness, distended GB, impacted stones and dilated CBD were found statistically significant. CONCLUSION: This indigenous scoring system is effective in predicting conversion risk of LC to OC. Patients having high risk may be informed and scheduled appropriately and decision to convert to OC in case of anticipated difficulty may be taken earlier.
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spelling pubmed-60293242018-07-31 A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆ Siddiqui, Mohammed Azfar Rizvi, Syed Amjad A. Sartaj, Sara Ahmad, Ibne Rizvi, Syed Wajahat A. J Med Ultrasound Original Article PURPOSE: Laparoscopic cholecystectomy (LC) has become the treatment of choice for cholelithiasis. Still some patients required conversion to open cholecystectomy (OC). Our aim was to develop a standardized Ultrasound based scoring system for preoperative prediction of difficult LC. METHODS AND MATERIALS: Ultrasound findings of 300 patients who underwent LC were reviewed retrospectively. Four parameters (time taken, biliary leakage, duct or arterial injury, and conversion) were analyzed to classify LC as easy or difficult. The following ultrasound findings were analyzed: GB wall thickness, pericholecystic collection, distended GB, impacted stones, multiple stones, CBD diameter and liver size. Out of seven parameters, four were statistically significant in our study. A score of 2 was assigned for the presence of each significant finding and a score of 1 was assigned for the remaining parameters to a total score of 11. A cut-off value of 5 was taken to predict easy and difficult LC. RESULTS: 66 out of 83 cases of difficult LC and 199 out of 217 cases of easy LC were correctly predicted on the basis of scoring system. A score of >5 had sensitivity 80.7% and specificity 91.7% for correctly identifying difficult LC. Prediction came true in 78.8% difficult and 92.6% easy cases. US findings of GB wall thickness, distended GB, impacted stones and dilated CBD were found statistically significant. CONCLUSION: This indigenous scoring system is effective in predicting conversion risk of LC to OC. Patients having high risk may be informed and scheduled appropriately and decision to convert to OC in case of anticipated difficulty may be taken earlier. Medknow Publications & Media Pvt Ltd 2017 2017-10-31 /pmc/articles/PMC6029324/ /pubmed/30065497 http://dx.doi.org/10.1016/j.jmu.2017.09.001 Text en Copyright: © 2017, Elsevier Taiwan LLC and the Chinese Taipei Society of Ultrasound in Medicine http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Siddiqui, Mohammed Azfar
Rizvi, Syed Amjad A.
Sartaj, Sara
Ahmad, Ibne
Rizvi, Syed Wajahat A.
A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆
title A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆
title_full A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆
title_fullStr A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆
title_full_unstemmed A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆
title_short A Standardized Ultrasound Scoring System for Preoperative Prediction of Difficult Laparoscopic Cholecystectomy☆
title_sort standardized ultrasound scoring system for preoperative prediction of difficult laparoscopic cholecystectomy☆
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029324/
https://www.ncbi.nlm.nih.gov/pubmed/30065497
http://dx.doi.org/10.1016/j.jmu.2017.09.001
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