A whole-body PSMA-PET/CT dataset with manually annotated tumor lesions

We provide a large, annotated dataset of 597 whole-body PSMA-PET/CT studies from 378 male patients with suspected or diagnosed prostate carcinoma. Scans were acquired at LMU University Hospital, LMU Munich (2014–2022) on three clinical PET/CT scanners, jointly operated by the Departments of Nuclear Medicine and Radiology. All PSMA-avid tumor lesions were manually segmented on the PET images in 3D space using a dedicated software solution. 539 studies contain at least one lesion, while 58 show no lesions. The dataset includes anonymized DICOM files, DICOM segmentation masks, and a TSV file with patient age at imaging, PET/CT manufacturer and model name, PET radionuclide, and use of CT contrast agent. This dataset was used in the autoPET III and IV Grand Challenges to enable the development of machine-learning models for automated lesion segmentation in whole-body PET/CT.