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Is It Possible to Estimate the Liver Left Lobe Volume Using Preoperative Data Before Bariatric Surgery? | LitMetric

Is It Possible to Estimate the Liver Left Lobe Volume Using Preoperative Data Before Bariatric Surgery?

Obes Surg

Gastroenterology Surgery Department, Inonu University Turgut Ozal Medical Center, Bulgurlu Mahallesi, Elazığ Yolu 15. Km, 44280, Merkez/Battalgazi/Malatya, Turkey.

Published: August 2022

AI Article Synopsis

Article Abstract

Purpose: Retraction of the left lobe of the liver (LLL) is an important step in bariatric surgical procedures. A good liver retraction will both facilitate the operation and reduce complications. The aim of the study is to identify patients with large LLL with preoperative anthropometric and laboratory data, and to reveal complications due to large LLL.

Materials And Methods: The data of 245 patients who underwent bariatric surgery in our department between April 2019 and March 2021 were retrospectively analyzed. The patients were divided into two groups according to the visibility of the caudate lobe of the liver, the left diaphragmatic artery-vein, and the fat pad on the esophagus after liver retraction.

Results: Univariate analyses revealed significant differences in BMI, waist and hip circumferences, TG, DM, and HbA1c values, but only BMI (p = 0.001) and the presence of DM (p = 0.017) were found to be independent predictors of LLL size. BMI ≥ 42.1 kg/m indicates the size of LLL with 83% sensitivity and 49% specificity. Retractor-related complications were significantly higher in the large LLL group (p = 0.036). There was no difference between the two groups in terms of complications related to trocar insertion (p = 0.014) and postoperative liver enzyme levels (p = 0.714). The operation time (laparoscopic sleeve gastrectomy [LSG]; p = 0.021) (laparoscopic Roux-N-Y gastric bypass [LRYGB]; p = 0.020) and the amount of bleeding (LSG; p < 0.001) (LRYGB; p = 0.011) are higher in patients with large LLL.

Conclusion: Large LLL can be predicted and complications may be reduced with the help of preoperative data.

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Source
http://dx.doi.org/10.1007/s11695-022-06143-4DOI Listing

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