Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics
Abstract Pituitary neuroendocrine tumors remain one of the most common intracranial tumors. While radiomic research related to pituitary tumors is progressing, public data sets for external validation remain scarce. We introduce an open dataset comprising high-resolution T1 contrast-enhanced MR scan...
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Nature Portfolio
2025-01-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-024-04218-8 |
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author | A. S. Pandit A. Keenlyside D. Z. Khan G. Reischer M. A. Kamal N. Yoh Z. Jaunmuktane A. Borg N. L. Dorward S. E. Baldeweg I. Davagnanam H. Hyare P. Nachev H. J. Marcus |
author_facet | A. S. Pandit A. Keenlyside D. Z. Khan G. Reischer M. A. Kamal N. Yoh Z. Jaunmuktane A. Borg N. L. Dorward S. E. Baldeweg I. Davagnanam H. Hyare P. Nachev H. J. Marcus |
author_sort | A. S. Pandit |
collection | DOAJ |
description | Abstract Pituitary neuroendocrine tumors remain one of the most common intracranial tumors. While radiomic research related to pituitary tumors is progressing, public data sets for external validation remain scarce. We introduce an open dataset comprising high-resolution T1 contrast-enhanced MR scans of 136 patients with pituitary tumors, annotated for tumor segmentation and accompanied by clinical, radiological and pathological metadata. This diverse dataset captures variations in tumor size, location, and pathological activity, essential for understanding this complex condition. Expert annotations of both the tumor and adjacent carotid arteries ensure precise delineation, facilitating the development of automated segmentation algorithms. Our initiative addresses the need for standardized data in pituitary oncology, fosters collaboration and innovation, and enables the development and benchmarking of workflows that utilize pituitary radiomics for treatment planning and outcome prediction. |
format | Article |
id | doaj-art-5065b3c20b244b52afff5db9710e68d4 |
institution | Kabale University |
issn | 2052-4463 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Data |
spelling | doaj-art-5065b3c20b244b52afff5db9710e68d42025-01-19T12:09:41ZengNature PortfolioScientific Data2052-44632025-01-011211510.1038/s41597-024-04218-8Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid CharacteristicsA. S. Pandit0A. Keenlyside1D. Z. Khan2G. Reischer3M. A. Kamal4N. Yoh5Z. Jaunmuktane6A. Borg7N. L. Dorward8S. E. Baldeweg9I. Davagnanam10H. Hyare11P. Nachev12H. J. Marcus13High-Dimensional Neurology, Queen Square Institute of Neurology, University College LondonVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryDepartment of Neurosurgery, Columbia UniversityDepartment of Neuropathology, National Hospital for Neurology and NeurosurgeryVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryDepartment of Diabetes and Endocrinology, University College London HospitalLysholm Department of Neuroradiology, National Hospital for Neurology and NeurosurgeryLysholm Department of Neuroradiology, National Hospital for Neurology and NeurosurgeryHigh-Dimensional Neurology, Queen Square Institute of Neurology, University College LondonVictor Horsley Department of Neurosurgery, National Hospital for Neurology and NeurosurgeryAbstract Pituitary neuroendocrine tumors remain one of the most common intracranial tumors. While radiomic research related to pituitary tumors is progressing, public data sets for external validation remain scarce. We introduce an open dataset comprising high-resolution T1 contrast-enhanced MR scans of 136 patients with pituitary tumors, annotated for tumor segmentation and accompanied by clinical, radiological and pathological metadata. This diverse dataset captures variations in tumor size, location, and pathological activity, essential for understanding this complex condition. Expert annotations of both the tumor and adjacent carotid arteries ensure precise delineation, facilitating the development of automated segmentation algorithms. Our initiative addresses the need for standardized data in pituitary oncology, fosters collaboration and innovation, and enables the development and benchmarking of workflows that utilize pituitary radiomics for treatment planning and outcome prediction.https://doi.org/10.1038/s41597-024-04218-8 |
spellingShingle | A. S. Pandit A. Keenlyside D. Z. Khan G. Reischer M. A. Kamal N. Yoh Z. Jaunmuktane A. Borg N. L. Dorward S. E. Baldeweg I. Davagnanam H. Hyare P. Nachev H. J. Marcus Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics Scientific Data |
title | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics |
title_full | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics |
title_fullStr | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics |
title_full_unstemmed | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics |
title_short | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics |
title_sort | mapping pituitary neuroendocrine tumors an annotated mri dataset profiling tumor and carotid characteristics |
url | https://doi.org/10.1038/s41597-024-04218-8 |
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