Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy.

ABSTRACT:

Background

Textural features extracted from MRI potentially provide prognostic information additional to volume for influencing surgical management of cervical cancer.

Purpose

To identify textural features that differ between cervical tumors above and below the volume threshold of eligibility for trachelectomy and determine their value in predicting recurrence in patients with low-volume tumors.

Methods

Of 378 patients with Stage1-2 cervical cancer imaged prospectively (3T, endovaginal coil), 125 had well-defined, histologically-confirmed squamous or adenocarcinomas with >100 voxels (>0.07 cm³) suitable for radiomic analysis. Regions-of-interest outlined the whole tumor on T2-W images and apparent diffusion coefficient (ADC) maps. Textural features based on

SUBMITTER: Wormald BW 

PROVIDER: S-EPMC7001101 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature