MRI Tumor Signatures for Prognosis in Oral Tongue Squamous Cell Carcinoma, 221 Patients

Nivedita Chakrabarty's study provides data on MRI-based tumor signatures as prognostic biomarkers for oral tongue squamous cell carcinoma. The dataset includes 221 treatment-naive patients from a tertiary cancer center, with pre-treatment MRIs reviewed by two blinded radiologists. Patient outcomes were followed for 2 years, with analyses performed on features like peritumoral hyperenhancement and tumor ulceration.

Use Cases

• Predicting overall survival based on MRI features like tumor proximity to the hyoid bone.
• Modeling recurrence-free survival using biomarkers such as peritumoral edema.
• Investigating associations between imaging features (e.g., peritumoral hyperenhancement width) and histopathological findings like perineural invasion.
• Refining risk stratification for oral tongue squamous cell carcinoma based on adverse MRI biomarkers.

Strengths

• Includes data for 221 patients with detailed demographic information (179 men, 42 women, mean age 47.1 years).
• Features were assessed by two blinded radiologists, suggesting a controlled review process.
• Study includes multivariate and univariate analyses with specific hazard ratios and p-values for key biomarkers.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Data is from a single tertiary cancer center and a specific time range (January 2021 to December 2022), which may limit generalizability.
• The dataset is very small at 35.9 KB, indicating limited scope, likely containing summary results rather than raw patient-level data.

Provenance

Source

Nivedita Chakrabarty via figshare.

Collection Method

Retrospective cross-sectional study at a tertiary cancer center.

Time Range

Patient surgery dates between January 2021 and December 2022, with 2-year follow-up.

Freshness

Last updated 2026-04-14 05:36:25.

Geography

Location of the tertiary cancer center is not specified.