Development of an improved diagnostic nomogram for preoperative prediction of small cell neuroendocrine cancer of the cervix.

ABSTRACT:

Objectives

Accurate preoperative diagnosis of small cell neuroendocrine cancer of the cervix (SCNECC) is crucial for establishing the best treatment plan. This study aimed to develop an improved, non-invasive method for the preoperative diagnosis of SCNECC by integrating clinical, MR morphological, and apparent diffusion coefficient (ADC) information.

Methods

A total of 105 pathologically confirmed cervical cancer patients (35 SCNECC, 70 non-SCNECC) from multiple centres with complete clinical and MR records were included. Whole lesion histogram analysis of the ADC was performed. Multivariate logistic regression analysis was used to develop diagnostic models based on clinical, morphological, and histogram data. The predictive performance in terms of discrimination, calibrati

SUBMITTER: Li YZ 

PROVIDER: S-EPMC9733602 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature