MRI radiomics-based predictive modeling for risk stratification and prognostication in oral tongue carcinoma
Nivedita Chakrabarty, Swapnil U. Rane, Umesh Sherkhane, Sourabh More, Nitin Shetty, Sarbani Ghosh Laskar, Arjun Singh, Vanita Noronha, Kumar Prabhash, Pankaj Chaturvedi · 2026
Read MRI radiomics-based predictive modeling for risk stratification and prognostication in oral tongue carcinoma by Nivedita Chakrabarty, Swapnil U. Rane, Umesh Sherkhane, Sourabh More, Nitin Shetty, Sarbani Ghosh Laskar, Arjun Singh, Vanita Noronha, Kumar Prabhash, Pankaj Chaturvedi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13581926.txt.
Description
Nivedita Chakrabarty and nine co-authors mine MRI scans to forecast outcomes in tongue cancer, in a study published in twenty twenty-six. The cancer, a squamous cell tumor of the oral tongue, often returns after surgery. The team asked whether patterns hidden in scans, joined with clinical facts, could sort patients by risk.
Records covered two hundred nineteen patients scanned before treatment and followed for two years. Software pulled hundreds of measures from three scan types. Models blended scan data with age, pathology results, and added therapy details. A lean statistical model beat a deep learning one at predicting both return of disease and survival. Combined models sorted patients into risk groups that matched standard guidance. Side aims covered nerve invasion and spread to neck nodes.
Catalog record
| CREATOR | Nivedita Chakrabarty, Swapnil U. Rane, Umesh Sherkhane, Sourabh More, Nitin Shetty, Sarbani Ghosh Laskar, Arjun Singh, Vanita Noronha, Kumar Prabhash, Pankaj Chaturvedi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |