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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-04218-8
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832594969525747712
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
work_keys_str_mv AT aspandit mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT akeenlyside mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT dzkhan mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT greischer mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT makamal mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT nyoh mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT zjaunmuktane mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT aborg mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT nldorward mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT sebaldeweg mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT idavagnanam mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT hhyare mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT pnachev mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics
AT hjmarcus mappingpituitaryneuroendocrinetumorsanannotatedmridatasetprofilingtumorandcarotidcharacteristics