Multimodal investigation of bladder cancer data based on computed tomography, whole slide imaging, and transcriptomics.

ABSTRACT:

Background

Multimodal analysis has shown great potential in the diagnosis and management of cancer. This study aimed to determine the multimodal data associations between radiological, pathologic, and molecular characteristics in bladder cancer.

Methods

A retrospective study of computed tomography (CT), pathologic slice, and RNA sequencing data from 127 consecutive adult patients in China who underwent bladder surgery and were pathologically diagnosed with bladder cancer was conducted. A total of 200 radiological and 1,029 pathologic features were extracted by radiomics and pathomics. Multimodal associations analysis and structural equation modeling were used to measure the cross-modal associations and structural relationships between CT and pathologic slice. A convolutional

SUBMITTER: Wu P 

PROVIDER: S-EPMC9929396 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature