563-06-006 ISMRM Abstract

A Semi-Automatic Methodology For Accurate Estimation of Residual Tumor Volume In Postoperative GBM Patients

Primary: Neuro - Tumors

Secondary: Analysis Methods - Data Processing

563-06-006 · From Molecular Signatures to Surgical Guidance: Cutting-Edge MRI in Brain Tumor Care · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row D

Keywords: Glioblastoma Tumor burden Tumor Recurrence Extent of Resection Pre and Post Operative

Accepted

Mohammad Tufail Sheikh¹, Ankit Kandpal¹, Rakesh K Singh², Rakesh Kumar Gupta², Anup Singh^1,3,4

¹Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, India

²Department of Radiology, Fortis Memorial Research Institute, Gurugram, India

³Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, India

⁴Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India

Presenting Author: Himanshu Singh

Synopsis

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References

1. Delgado-López PD, Corrales-García EM. Survival in glioblastoma: a review on the impact of treatment modalities. Clin Transl Oncol. 2016;18(11):1062-1071. doi:10.1007/s12094-016-1497-x [doi]

2. Gilbert MR, Dignam JJ, Armstrong TS, et al. A randomized trial of bevacizumab for newly diagnosed glioblastoma. N Engl J Med. 2014;370(8):699-708. doi:10.1056/NEJMoa1308573 [doi]

3. Brown TJ, Brennan MC, Li M, et al. Association of the Extent of Resection With Survival in Glioblastoma: A Systematic Review and Meta-analysis. JAMA Oncol. 2016;2(11):1460-1469. doi:10.1001/jamaoncol.2016.1373 [doi]

4. Karschnia P, Gerritsen JKW, Teske N, et al. The oncological role of resection in newly diagnosed diffuse adult-type glioma defined by the WHO 2021 classification: a Review by the RANO resect group. Lancet Oncol. 2024;25(9):e404-e419. doi:10.1016/S1470-2045(24)00130-X [doi]

5. Kandpal A, Gupta RK, Singh A. Automated Brain Extraction in Multi-Sequence MR Images Across Multiple Centres and Pathologies. In: 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE; 2024:1-6. doi:10.1109/CONECCT62155.2024.10677256 [doi]

6. Maurya, S., Kumar Yadav, V., Agarwal, S., Singh, A. (2022). Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture. In: Crimi, A., Bakas, S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2021. Lecture Notes in Computer Science, vol 12963. Springer, Cham. https://doi.org/10.1007/978-3-031-09002-8_28 [doi]

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http://echo.ismrm.org/p/ISMRM2026/563-06-006