PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT and Radiology Report Dataset for Medical Imaging Research

TL;DR

PETWB-REP is a large, publicly available dataset of whole-body FDG PET/CT scans and detailed radiology reports across multiple cancer types, aimed at advancing AI and clinical research in medical imaging.

Contribution

This paper introduces PETWB-REP, a comprehensive multi-cancer PET/CT and report dataset that fills a gap in publicly available resources for AI and clinical research.

Findings

Provides paired PET and CT images with reports and metadata

Supports multi-modal learning and radiomics research

Enables validation of AI models across diverse cancers

Abstract

Publicly available, large-scale medical imaging datasets are crucial for developing and validating artificial intelligence models and conducting retrospective clinical research. However, datasets that combine functional and anatomical imaging with detailed clinical reports across multiple cancer types remain scarce. Here, we present PETWB-REP, a curated dataset comprising whole-body 18F-Fluorodeoxyglucose (FDG) Positron Emission Tomography/Computed Tomography (PET/CT) scans and corresponding radiology reports from 490 patients diagnosed with various malignancies. The dataset primarily includes common cancers such as lung cancer, liver cancer, breast cancer, prostate cancer, and ovarian cancer. This dataset includes paired PET and CT images, de-identified textual reports, and structured clinical metadata. It is designed to support research in medical imaging, radiomics, artificial intelligence, and multi-modal learning.