Clinicomics-guided distant metastasis prediction in breast cancer via artificial intelligence.

ABSTRACT:

Background

Breast cancer has become the most common malignant tumour worldwide. Distant metastasis is one of the leading causes of breast cancer-related death. To verify the performance of clinicomics-guided distant metastasis risk prediction for breast cancer via artificial intelligence and to investigate the accuracy of the created prediction models for metachronous distant metastasis, bone metastasis and visceral metastasis.

Methods

We retrospectively enrolled 6703 breast cancer patients from 2011 to 2016 in our hospital. The figures of magnetic resonance imaging scanning and ultrasound were collected, and the figures features of distant metastasis in breast cancer were detected. Clinicomics-guided nomogram was proven to be with significant better ability on distant metas

SUBMITTER: Zhang C 

PROVIDER: S-EPMC10012565 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature