Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
304-03-003 ISMRM Abstract

Integrative MRI-Transcriptomics Reveal a Distinct Morphomolecular Identity of Brain Metastases Divergent from Gliomas

Accepted
Neha Yadav 1, Vivek Tiwari1
1Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Berhampur, Odisha, India
Presenting Author: Neha Yadav

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Ramakrishnan, D., Jekel, L., Chadha, S., Janas, A., Moy, H., Maleki, N., Sala, M., Kaur, M., Petersen, G.C., Merkaj, S., et al. (2024). A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information. Sci Data 11, 254. https://doi.org/10.1038/s41597-024-03021-9 [doi]
2. Rudie, J.D., Saluja, R., Weiss, D.A., Nedelec, P., Calabrese, E., Colby, J.B., Laguna, B., 1005 Mongan, J., Braunstein, S., Hess, C.P., et al. (2024). The University of California San 1006 Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. 1007 Radiol Artif Intell 6. https://doi.org/10.1148/ryai.230126. [doi]
3. Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J, Freymann J, Farahani K, and Davatzikos C (2017). Segmentation Labels for the Pre-operative Scans of the TCGA-GBM collection [Data set]. Preprint, https://doi.org/10.7937/K9/TCIA.2017.KLXWJJ1Q [doi]
4. Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J, Freymann J, Farahani K, and Davatzikos C. (2017). Data from: Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection [Data Set]. Preprint https://doi.org/doi:10.7937/K9/TCIA.2017.GJQ7R0EF [doi]
5. Bakas, S., Sako, C., Akbari, H., Bilello, M., Sotiras, A., Shukla, G., Rudie, J.D., Flores Santamaria N., Fathi Kazerooni, A., Pati, S., et al. (2021). Multi-parametric magnetic resonance imaging (mpMRI) scans for de novo Glioblastoma (GBM) patients from the University of Pennsylvania Health System (UPENN-GBM) (Version 2) [Data] set]. Preprint, https://doi.org/10.7937/TCIA.709X-DN49 [doi]
6. Adewole, M., Rudie, J.D., Gbadamosi, A., Zhang, D., Raymond, C., Ajigbotoshso, J., Toyobo, O., Aguh, K., Omidiji, O., Akinola R., et al. (2024). Expanding the Brain Tumor Segmentation (BraTS) data to include African Populations (BraTS-Africa) (version 1) [Dataset]. The Cancer Imaging Archive. https://doi.org/https://doi.org/10.7937/v8h6-8×67 [doi]
7. Calabrese, E., Villanueva-Meyer, J., Rudie, J., Rauschecker, A., Baid, U., Bakas, S., 990 Cha, S., Mongan, J., and Hess, C. (2022). The University of California San Francisco 991 Preoperative Diffuse Glioma MRI (UCSF-PDGM) (Version 4) [Dataset]. Preprint, 992 https://doi.org/10.7937/tcia.bdgf-8v37 https://doi.org/10.7937/tcia.bdgf-8v37 [doi]
8. Yadav, N., Mohanty, A., V, A., and Tiwari, V. (2024). Fractal dimension and lacunarity measures of glioma subcomponents are discriminative of the grade of gliomas and IDH status. NMR Biomed 37, e5272. https://doi.org/10.1002/nbm.5272. [doi]
9. Cancer Genome Atlas Research Network (2008). Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature 455, 1061–1068. https://doi.org/10.1038/nature07385. [doi]
10. Zhang, Y., Chen, F., and Creighton, C.J. (2023). Pan-cancer molecular subtypes of 994 metastasis reveal distinct and evolving transcriptional programs. Cell Rep Med 4, 995 100932. https://doi.org/10.1016/j.xcrm.2023.100932. [doi]

Cite this abstract