# Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/regional-variation-in-histopathologic-features-of-tumor-specimens-from-treatment/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ramon Barajas,Joanna J. Phillips,Rupa Parvataneni,Annette M. Molinaro,E. Essock-Burns,G. Bourne,A. Parsa,Manish K. Aghi,Michael W. McDermott,Mitchel S. Berger,Soonmee Cha,Susan M. Chang,Sarah J. Nelson |
| Citations | 225 |
| DOI | 10.1093/neuonc/nos128 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://academic.oup.com/neuro-oncology/article-pdf/14/7/942/3813455/nos128.pdf |
| OpenAlex ID | https://openalex.org/W2161648951 |
| PMID | 22711606 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Rupa Parvataneni](https://scholariq.org/researchers/rupa-parvataneni/)

## Paper primary topic

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)

## Paper topics

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.