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A nomogram-based model and ultrasonic radiomic features for gallbladder polyp classification.

Xudong Zhang1, Jincheng Wang2, Baoqiang Wu1

  • 1Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.

Journal of Gastroenterology and Hepatology
|March 31, 2022
PubMed
Summary

A new nomogram model accurately predicts neoplastic gallbladder polyps (GBPs) using clinical data. Radiomics also shows promise in identifying malignant GBPs, potentially reducing unnecessary surgeries.

Keywords:
gallbladder polypneoplastic polypnomogram modelpreoperative diagnosisradiomics

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Area of Science:

  • Gastroenterology
  • Medical Imaging
  • Oncology

Background:

  • Gallbladder polyps (GBPs) are common, with a need to differentiate benign from neoplastic types to detect early gallbladder cancer.
  • Accurate preoperative prediction of neoplastic potential is crucial for patient management.

Purpose of the Study:

  • To establish and validate a predictive model for neoplastic gallbladder polyps using clinical data.
  • To evaluate the effectiveness of radiomics in predicting malignancy in patients with GBPs.

Main Methods:

  • A retrospective study of 503 patients with pathologically confirmed GBPs.
  • Development of a nomogram model using logistic regression on a training cohort (250 patients) and validation on an internal group (253 patients).
  • Analysis of ultrasonic radiomics features to identify predictors of malignancy.

Main Results:

  • A nomogram model incorporating age, gallstones, carcinoembryonic antigen, polyp size, and sessile shape demonstrated good discrimination (AUC: 0.865 training, 0.845 validation).
  • Ultrasonic radiomics identified minimum caliper diameter as the sole independent predictor (AUC: 0.841).

Conclusions:

  • The preoperative nomogram model effectively assesses neoplastic potential of GBPs using simple clinical data.
  • Radiomics shows potential for GBP identification, possibly aiding in avoiding unnecessary surgeries.