Laparoscopic/ Robotic: Other

Moderated Poster Session

MP17-8 - A Comprehensive Scoring System for Standardized Evaluation of Adrenal tumor

Saturday, September 22
10:00 AM - 12:00 PM
Location: Room 252B

Introduction & Objective : To propose an original and standardized scoring system to quantify the functional and anatomical characteristics of adrenal tumor. 


Methods :

Design, setting and participants: To ensure the universality of our proposed scoring system, we enrolledfour groups of consecutive adrenalectomies (n = 458) with heterogeneity in tumor characteristics and surgical approaches, including 212 laparoscopic cases (Group 1) and 105 robotic cases (Group 2) from The First Affiliated Hospital of Nanchang University, 28 robotic cases from Temple University Hospital (Group 3) and 113 laparoscopic cases from The First Affiliated Hospital of Guangxi Medical University (Group 4).


Interventions: Laparoscopic adrenalectomy via retroperitoneal approach and robotic adrenalectomy via retroperitoneal or transperitoneal approach.


Measurements: 6 parameters includingfunctional status or suspicion of malignancy, tumor size, relationship to adjacent organs, intratumoral enhancement on CT, nearness of the tumor to major vessels and body mass index were assessed and scored on a 0 to 2 points scale. Correlation between the sum of the 6 scores and tumor laterality (ADRENAL score) verse operative time (OT), estimated blood loss (EBL) and perioperative complications was analyzed.


Results :

ADRENAL score was a strong predictor of both OT and EBL in all four groups (p < 0.05 for all tests). Only in Group 4, patients with higher ADRENAL score seemed to have a higher risk of perioperative complication. 


Conclusions : ADRENAL score seemed to correlate with surgical outcomes and complications. It may provide a common reference for preoperative risk assessment and stratified comparative analysis of adrenal surgeries via different techniques and approaches. 

Gongxian Wang

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    Xiaochen Zhou

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      Bin Fu

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        Cheng Zhang

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