Synthetic magnetic resonance-based relaxometry in differentiating central nervous system tuberculoma and glioblastoma

Synthetic MR-based relaxometry can be useful in distinguishing CNS tuberculomas from glioblastoma. R1 and R2 relaxation rates from core of the lesions are most important in differentiating the two with R1 value > 0.852 and R2 value > 11.565 from core strongly suggests tuberculoma over glioblastoma.

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Publication Details

Journal
Polish Journal of Radiology
Published
2025-04-29
DOI
https://doi.org/10.5114/pjr/202175
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Synthetic magnetic resonance-based relaxometry in differentiating central nervous system tuberculoma and glioblastoma

Paramjeet Singh, Sanket Dash, Shahjehan Ahmad, Chirag Kamal Ahuja et al.
Polish Journal of Radiology
Advanced MRI Techniques and Applications
article

Synthetic magnetic resonance-based relaxometry in differentiating central nervous system tuberculoma and glioblastoma

Paramjeet Singh, Sanket Dash, Shahjehan Ahmad, Chirag Kamal Ahuja, Sameer Vyas
article en

Abstract

Synthetic MR-based relaxometry can be useful in distinguishing CNS tuberculomas from glioblastoma. R1 and R2 relaxation rates from core of the lesions are most important in differentiating the two with R1 value > 0.852 and R2 value > 11.565 from core strongly suggests tuberculoma over glioblastoma.

Polish Journal of RadiologyVol. 90
Post Graduate Institute of Medical Education and Research (IN)
Openalex Percentile: Top 85%
Advanced MRI Techniques and Applications
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Synthetic magnetic resonance-based relaxometry in differentiating central nervous system tuberculoma and glioblastoma — Paramjeet Singh, Sanket Dash, et al. · Polish Journal of Radiology (2025) | TGRS Research Map | TGRS