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A repository of grade 1 and 2 meningioma MRIs in a public dataset for radiomics reproducibility tests.
Vassantachart, April; Cao, Yufeng; Shen, Zhilei; Cheng, Karen; Gribble, Michael; Ye, Jason C; Zada, Gabriel; Hurth, Kyle; Mathew, Anna; Guzman, Samuel; Yang, Wensha.
Affiliation
  • Vassantachart A; Department of Radiation Oncology, LAC+USC Medical Center, Los Angeles, California, USA.
  • Cao Y; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Shen Z; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Cheng K; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Gribble M; Department of Radiation Oncology, LAC+USC Medical Center, Los Angeles, California, USA.
  • Ye JC; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Zada G; Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Hurth K; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Mathew A; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Guzman S; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Yang W; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Med Phys ; 51(3): 2334-2344, 2024 Mar.
Article in En | MEDLINE | ID: mdl-37815256
ABSTRACT

PURPOSE:

Meningiomas are the most common primary brain tumors in adults with management varying widely based on World Health Organization (WHO) grade. However, there are limited datasets available for researchers to develop and validate radiomic models. The purpose of our manuscript is to report on the first dataset of meningiomas in The Cancer Imaging Archive (TCIA). ACQUISITION AND VALIDATION

METHODS:

The dataset consists of pre-operative MRIs from 96 patients with meningiomas who underwent resection from 2010-2019 and include axial T1post and T2-FLAIR sequences-55 grade 1 and 41 grade 2. Meningioma grade was confirmed based on the 2016 WHO Bluebook classification guideline by two neuropathologists and one neuropathology fellow. The hyperintense T1post tumor and hyperintense T2-FLAIR regions were manually contoured on both sequences and resampled to an isotropic resolution of 1 × 1 × 1 mm3 . The entire dataset was reviewed by a certified medical physicist. DATA FORMAT AND USAGE NOTES The data was imported into TCIA for storage and can be accessed at https//doi.org/10.7937/0TKV-1A36. The total size of the dataset is 8.8GB, with 47 519 individual Digital Imaging and Communications in Medicine (DICOM) files consisting of 384 image series, and 192 structures. POTENTIAL APPLICATIONS Grade 1 and 2 meningiomas have different treatment paradigms and are often treated based on radiologic diagnosis alone. Therefore, predicting grade prior to treatment is essential in clinical decision-making. This dataset will allow researchers to create models to auto-differentiate grade 1 and 2 meningiomas as well as evaluate for other pathologic features including mitotic index, brain invasion, and atypical features. Limitations of this study are the small sample size and inclusion of only two MRI sequences. However, there are no meningioma datasets on TCIA and limited datasets elsewhere although meningiomas are the most common intracranial tumor in adults.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meningeal Neoplasms / Meningioma Type of study: Guideline / Prognostic_studies Limits: Adult / Humans Language: En Journal: Med Phys Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meningeal Neoplasms / Meningioma Type of study: Guideline / Prognostic_studies Limits: Adult / Humans Language: En Journal: Med Phys Year: 2024 Document type: Article Affiliation country: United States