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Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
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A Clinical Prediction Model for Pathologic Upgrade to Invasive Carcinoma Following Conization of Cervical High-Grade

Qiao Liu1, Jing Yang1, Hui Cheng1

  • 1Hunan Provincial Maternal and Child Health Care Hospital, University of South China, Changsha, Hunan, People's Republic of China.

Cancer Medicine
|December 31, 2024
PubMed
Summary
This summary is machine-generated.

This study identifies key risk factors for cervical high-grade squamous intraepithelial lesions (HSIL) progressing to invasive cancer after conization. A validated nomogram aids in preoperative risk assessment and surgical planning for cervical cancer.

Keywords:
HSILcervical cancernomogrampathological progressionpredictive models

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Area of Science:

  • Gynecology
  • Oncology
  • Pathology

Background:

  • Cervical high-grade squamous intraepithelial lesions (HSIL) require careful management to prevent progression to invasive cervical cancer.
  • Conization is a common procedure for HSIL, but pathological progression post-conization necessitates accurate risk stratification.

Purpose of the Study:

  • To identify risk factors for pathological progression to invasive carcinoma after cervical conization for HSIL.
  • To develop and validate a predictive model (nomogram) for preoperative risk assessment and surgical approach optimization.

Main Methods:

  • Retrospective analysis of 3337 patients undergoing cervical conization for HSIL.
  • Development of a predictive model using logistic regression and validation through internal and external datasets.
  • Inclusion of factors like age, symptoms, HPV status, cytology, and biopsy findings.

Main Results:

  • 11.9% of patients experienced pathological upgrades to invasive carcinoma post-conization.
  • Key predictors included age, contact bleeding, HPV16/18, HSIL cytology, biopsy diagnosis, stromal infiltration, and endocervical curettage HSIL.
  • The nomogram demonstrated good discriminability (C-index=0.787) and clinical utility.

Conclusions:

  • A validated nomogram effectively identifies patients with HSIL at risk of progressing to early invasive cervical cancer.
  • This tool supports individualized treatment decisions and optimization of surgical strategies for cervical cancer management.