Paper Details

Paper Title

Multi-institutional noninvasive in vivo characterization of <i>IDH</i>, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk).

Paper Journal Title

Neurooncol Adv

Paper Citation Count

Paper Publication Year

2021

Bio Mention

19q, 1p/19q, Brain Tumor, EGFRvIII, EGFRvIII mutation, Gliomas, HUP, IDH, IDH mutation, IDH-mutant, IDH1, IDH2, OBTS, TCIA, WHO grade IV, cancer, chromosomes 1p and, epidermal growth factor receptor variant III, glioblastoma, glioma, gliomas, isocitrate, isocitrate dehydrogenase 1 and 2, lower-grade gliomas, neoplasm, patients, primary brain tumors, tumor

Mesh Descriptor

Author Name	Affiliation
Spyridon Bakas	Center for Biomedical Image Computing and Analytics, University of Pennsylvania
Spyridon Bakas	Perelman School of Medicine, University of Pennsylvania
Spyridon Bakas	Perelman School of Medicine, University of Pennsylvania
Michel Bilello	Center for Biomedical Image Computing and Analytics, University of Pennsylvania
Michel Bilello	Perelman School of Medicine, University of Pennsylvania
Russell T Shinohara	University of Pennsylvania
Donald M O'Rourke	Abramson Cancer Center
Andrew E Sloan	Case Comprehensive Cancer Center
Andrew E Sloan	Case Western Reserve University School of Medicine
Andrew E Sloan	University Hospitals Seidman Cancer Center
Jill S Barnholtz-Sloan	Case Comprehensive Cancer Center
Jill S Barnholtz-Sloan	Case Western Reserve University School of Medicine
Jill S Barnholtz-Sloan	Case Comprehensive Cancer Center
Jill S Barnholtz-Sloan	Case Western Reserve University School of Medicine
Christos Davatzikos	Center for Biomedical Image Computing and Analytics, University of Pennsylvania
Christos Davatzikos	Perelman School of Medicine, University of Pennsylvania
Christos Davatzikos	Center for Biomedical Image Computing and Analytics, University of Pennsylvania
Christos Davatzikos	Perelman School of Medicine, University of Pennsylvania

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Dataset	Description	Source Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link
The Cancer Imaging Archive	TCIA is a service which de-identifies and publishes medical image datasets to study cancer. The data are organized as â¿¿Collectionsâ¿, typically subjects related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. DICOM is the primary file format used by TCIA for radiology image storage. Supporting data related to the images such as patient outcomes, treatment details, genomics, pathology, and image analyses are also provided when available.	Link

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