BMC Gastroenterology (Apr 2024)

Prediction of neoplastic gallbladder polyps in patients with different age level based on preoperative ultrasound: a multi-center retrospective real-world study

  • Qi Li,
  • Minghui Dou,
  • Hengchao Liu,
  • Pengbo Jia,
  • Xintuan Wang,
  • Xilin Geng,
  • Yu Zhang,
  • Rui Yang,
  • Junhui Li,
  • Wenbin Yang,
  • Chunhe Yao,
  • Xiaodi Zhang,
  • Da Lei,
  • Chenglin Yang,
  • Qiwei Hao,
  • Yimin Liu,
  • Zhihua Guo,
  • Zhimin Geng,
  • Dong Zhang

DOI
https://doi.org/10.1186/s12876-024-03240-9
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 10

Abstract

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Abstract Background The prevalence of neoplastic polyps in gallbladder polyps (GPs) increases sharply with age and is associated with gallbladder carcinoma (GBC). This study aims to predict neoplastic polyps and provide appropriate treatment strategies based on preoperative ultrasound features in patients with different age level. Methods According to the age classification of WHO, 1523 patients with GPs who underwent cholecystectomy from January 2015 to December 2019 at 11 tertiary hospitals in China were divided into young adults group (n=622), middle-aged group (n=665) and elderly group (n=236). Linear scoring models were established based on independent risk variables screened by the Logistic regression model in different age groups. The area under ROC (AUC) to evaluate the predictive ability of linear scoring models, long- and short- diameter of GPs. Results Independent risk factors for neoplastic polyps included the number of polyps, polyp size (long diameter), and fundus in the young adults and elderly groups, while the number of polyps, polyp size (long diameter), and polyp size (short diameter) in the middle-aged groups. In different age groups, the AUCs of its linear scoring model were higher than the AUCs of the long- and short- diameter of GPs for differentiating neoplastic and non-neoplastic polyps (all P0.05). Conclusion The linear scoring models of the young adults, middle-aged and elderly groups can effectively distinguish neoplastic polyps from non-neoplastic polyps based on preoperative ultrasound features.

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