PMID- 36195599 OWN - NLM STAT- MEDLINE DCOM- 20221006 LR - 20221018 IS - 2052-4463 (Electronic) IS - 2052-4463 (Linking) VI - 9 IP - 1 DP - 2022 Oct 4 TI - A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions. PG - 601 LID - 10.1038/s41597-022-01718-3 [doi] LID - 601 AB - We describe a publicly available dataset of annotated Positron Emission Tomography/Computed Tomography (PET/CT) studies. 1014 whole body Fluorodeoxyglucose (FDG)-PET/CT datasets (501 studies of patients with malignant lymphoma, melanoma and non small cell lung cancer (NSCLC) and 513 studies without PET-positive malignant lesions (negative controls)) acquired between 2014 and 2018 were included. All examinations were acquired on a single, state-of-the-art PET/CT scanner. The imaging protocol consisted of a whole-body FDG-PET acquisition and a corresponding diagnostic CT scan. All FDG-avid lesions identified as malignant based on the clinical PET/CT report were manually segmented on PET images in a slice-per-slice (3D) manner. We provide the anonymized original DICOM files of all studies as well as the corresponding DICOM segmentation masks. In addition, we provide scripts for image processing and conversion to different file formats (NIfTI, mha, hdf5). Primary diagnosis, age and sex are provided as non-imaging information. We demonstrate how this dataset can be used for deep learning-based automated analysis of PET/CT data and provide the trained deep learning model. CI - (c) 2022. The Author(s). FAU - Gatidis, Sergios AU - Gatidis S AUID- ORCID: 0000-0002-6928-4967 AD - Max-Planck-Institute for Intelligent Systems, Empirical Inference Department, Tuebingen, 72076, Germany. sergios.gatidis@tuebingen.mpg.de. AD - University Hospital Tubingen, Department of Radiology, Tubingen, 72076, Germany. sergios.gatidis@tuebingen.mpg.de. FAU - Hepp, Tobias AU - Hepp T AD - Max-Planck-Institute for Intelligent Systems, Empirical Inference Department, Tuebingen, 72076, Germany. AD - University Hospital Tubingen, Department of Radiology, Tubingen, 72076, Germany. FAU - Fruh, Marcel AU - Fruh M AD - University Hospital Tubingen, Department of Radiology, Tubingen, 72076, Germany. FAU - La Fougere, Christian AU - La Fougere C AD - University Hospital Tubingen, Department of Nuclear Medicine and Clinical Molecular Imaging, Tubingen, 72076, Germany. AD - Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Tubingen, 72076, Germany. AD - German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site Tubingen, Tubingen, 72076, Germany. FAU - Nikolaou, Konstantin AU - Nikolaou K AD - University Hospital Tubingen, Department of Radiology, Tubingen, 72076, Germany. AD - Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Tubingen, 72076, Germany. FAU - Pfannenberg, Christina AU - Pfannenberg C AD - University Hospital Tubingen, Department of Radiology, Tubingen, 72076, Germany. FAU - Scholkopf, Bernhard AU - Scholkopf B AD - Max-Planck-Institute for Intelligent Systems, Empirical Inference Department, Tuebingen, 72076, Germany. FAU - Kustner, Thomas AU - Kustner T AUID- ORCID: 0000-0002-0353-4898 AD - University Hospital Tubingen, Department of Radiology, Tubingen, 72076, Germany. FAU - Cyran, Clemens AU - Cyran C AD - Hospital of the Ludwig-Maximilians-University, Department of Radiology, Munich, 81377, Germany. FAU - Rubin, Daniel AU - Rubin D AD - Stanford University, School of Medicine, Department of Biomedical Data Science, Stanford, 94305, USA. LA - eng PT - Dataset PT - Journal Article DEP - 20221004 PL - England TA - Sci Data JT - Scientific data JID - 101640192 RN - 0 (Radiopharmaceuticals) RN - 0Z5B2CJX4D (Fluorodeoxyglucose F18) SB - IM MH - *Carcinoma, Non-Small-Cell Lung MH - Fluorodeoxyglucose F18 MH - Humans MH - *Lung Neoplasms/diagnostic imaging MH - Positron Emission Tomography Computed Tomography/methods MH - Radiopharmaceuticals MH - Tomography, X-Ray Computed/methods PMC - PMC9532417 COIS- The authors declare no competing interests. EDAT- 2022/10/05 06:00 MHDA- 2022/10/07 06:00 PMCR- 2022/10/04 CRDT- 2022/10/04 23:15 PHST- 2022/06/28 00:00 [received] PHST- 2022/09/23 00:00 [accepted] PHST- 2022/10/04 23:15 [entrez] PHST- 2022/10/05 06:00 [pubmed] PHST- 2022/10/07 06:00 [medline] PHST- 2022/10/04 00:00 [pmc-release] AID - 10.1038/s41597-022-01718-3 [pii] AID - 1718 [pii] AID - 10.1038/s41597-022-01718-3 [doi] PST - epublish SO - Sci Data. 2022 Oct 4;9(1):601. doi: 10.1038/s41597-022-01718-3.