biostudies-literatureLaBella DFoundation for the National Institutes of HealthFoundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.)306https://www.ebi.ac.uk/biostudies/studies/S-EPMC12948943biostudies-literatureUnknown13(1)Meningiomas are the most common primary intracranial tumors, frequently requiring radiotherapy as a part of management. Effective radiotherapy planning for meningiomas necessitates accurate and consistent segmentation of target volumes on MRI, a process that is complex, labor-intensive, and dependent on expert expertise. The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) Dataset addresses this problem by providing the largest multi-institutional collection of systematically annotated radiotherapy planning MRIs for meningiomas. Publicly accessible, this dataset comprises 570 radiotherapy planning 3D T1-weighted post-contrast MRIs at native resolutions, with 500 cases featuring expert-annotated gross tumor volumes (GTV). Annotations follow standardized radiothScientific dataThe 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.PMC12948943NCI/ITCR U01CA242871U24CA279629NCI K08CA256045U01CA242871Wang CMix MHalasz LMMoassefi MRudie JDAl-Salihi OSaluja RTaylor Pde Verdier MCHuang RBarfoot TMcBurney-Lin SSchumacher KMullikin TCVercauteren TGagnon LVillanueva-Meyer JFloyd SRIvory MMenze BBakas SSachdev SKofler FAnwar SMShapey JNada AAnazodo UNedelec PBagci UWarman PMaleki NVollmuth PRaleigh DRSeibert TMFaghani SAbayazeed AHKirkpatrick JPSheller MBaid UReitman ZJAdewole MKazerooni AFKarargyris AJakab AMoawad AWKassem HShiue KAlbrecht JLinguraru MGAboian MConte GMPuett CChung VChai RTahon NHHongwei B LPati SAristizabal ARauschecker AMLohmann PPease MWSchwarz CGLaBella DFarid NCalabrese EChia KLeu JLeu KVelichko YWiestler BVaios EJHattangadi-Gluth JAfalseThe 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.Meningiomas are the most common primary intracranial tumors, frequently requiring radiotherapy as a part of management. Effective radiotherapy planning for meningiomas necessitates accurate and consistent segmentation of target volumes on MRI, a process that is complex, labor-intensive, and dependent on expert expertise. The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) Dataset addresses this problem by providing the largest multi-institutional collection of systematically annotated radiotherapy planning MRIs for meningiomas. Publicly accessible, this dataset comprises 570 radiotherapy planning 3D T1-weighted post-contrast MRIs at native resolutions, with 500 cases featuring expert-annotated gross tumor volumes (GTV). Annotations follow standardized radioth2026-01-01T00:00:00Z2026 Jan2026-07-16T23:24:03.006Z2026-07-12T03:11:11.408ZS-EPMC129489434159309110.1038/s41597-026-06649-x