Imaging-Based Tumor Margin Patterns and Primary Tumor Categories and Their Association with Adverse Histopathological Features in Oral Tongue Squamous Cell Carcinoma.
10 affiliations
- 1Department of Radiodiagnosis, Tata Memorial Centre, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Kharghar, Navi Mumbai 410210, Maharashtra, India.
- 2Homi Bhabha National Institute (HBNI), Training School Complex, Anushakti Nagar, Mumbai 400094, Maharashtra, India.
- 3Department of Radiodiagnosis, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Parel, Mumbai 400012, Maharashtra, India.
- 4Department of Imaging, The Clatterbridge Cancer Centre NHS Foundation Trust, 65 Pembroke Place, Liverpool L7 8YA, UK.
- 5Faculty of Health and Life Sciences, University of Liverpool, Liverpool L7 8TX, UK.
- 6Department of Head and Neck Surgical Oncology, Tata Memorial Centre, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Kharghar, Navi Mumbai 410210, Maharashtra, India.
- 7Department of Pathology, Tata Memorial Centre, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Kharghar, Navi Mumbai 410210, Maharashtra, India.
- 8Department of Radiation Oncology, Tata Memorial Centre, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
- 9Statistics, Department of Clinical Research Secretariat, Tata Memorial Centre, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
- 10Department of Medical Oncology, Tata Memorial Centre, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
Abstract
Background: This retrospective study introduces imaging inner tumor margin patterns (iITMP) and evaluates their correlation with pathological Worst pattern of invasion (WPOI) in oral tongue squamous cell carcinoma (OTSCC). Associations of iITMP with pathological primary tumor category (pT), histologic grade, perineural invasion (PNI), nodal metastasis, and extranodal extension (ENE) were assessed. Correlations between imaging depth of invasion (iDOI) and pathological DOI (pDOI), and between imaging primary tumor (iT) and pT, PNI, and ENE were evaluated. Methods: Baseline magnetic resonance imaging (MRI) from January 2021 to December 2022 of 224 upfront-operated OTSCC patients was reviewed by two blinded radiologists using contrast-enhanced thin-slice. iITMP (types 1-3) were classified based on inner tumor margin morphology. iDOI was measured after excluding peritumoral hyperenhancement. Correlation between categorical and continuous variables were assessed using Kappa statistics and Spearman's test respectively. Associations between categorical variables were analyzed using Fisher's exact or Pearson's chi-squared tests. Univariable and multivariable analyses were additionally performed. Results: The mean patient age was 47 ± 11 years. Substantial agreement was observed between iITMP and WPOI, and between iT and pT. iDOI strongly correlated with pDOI. iITMP was significantly associated with pT, irregular (iITMP2) and infiltrative (iITMP3) margins were associated with PNI only on univariate analysis, while iITMP was not an independent predictor on multivariable analysis. iT significantly correlated with PNI and ENE. Conclusions: iITMP strongly correlate with WPOI and is substantially associated with pT categories. iT categories show significant association with PNI and ENE. Therefore, iITMP and iT may serve as potential imaging biomarkers of adverse histopathological features in OTSCC.
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BibTeX
@article{chakrabarty2026imagingbased,
title = {{Imaging-Based Tumor Margin Patterns and Primary Tumor Categories and Their Association with Adverse Histopathological Features in Oral Tongue Squamous Cell Carcinoma.}},
author = {Nivedita Chakrabarty and Tapish Dadlani and Abhishek Mahajan and Arjun Singh and Swapnil Rane and Sarbani Ghosh Laskar and Ankush Shetake and Vanita Noronha and Kumar Prabhash and Pankaj Chaturvedi},
journal = {Cancers},
year = {2026},
month = sep,
doi = {10.3390/cancers18193118},
url = {https://europepmc.org/article/MED/42882813},
note = {CC BY},
}
RIS
TY - JOUR
TI - Imaging-Based Tumor Margin Patterns and Primary Tumor Categories and Their Association with Adverse Histopathological Features in Oral Tongue Squamous Cell Carcinoma.
AU - Nivedita Chakrabarty
AU - Tapish Dadlani
AU - Abhishek Mahajan
AU - Arjun Singh
AU - Swapnil Rane
AU - Sarbani Ghosh Laskar
AU - Ankush Shetake
AU - Vanita Noronha
AU - Kumar Prabhash
AU - Pankaj Chaturvedi
PY - 2026
DA - 2026/09/25
JO - Cancers
DO - 10.3390/cancers18193118
UR - https://europepmc.org/article/MED/42882813
AB - Background: This retrospective study introduces imaging inner tumor margin patterns (iITMP) and evaluates their correlation with pathological Worst pattern of invasion (WPOI) in oral tongue squamous cell carcinoma (OTSCC). Associations of iITMP with pathological primary tumor category (pT), histologic grade, perineural invasion (PNI), nodal metastasis, and extranodal extension (ENE) were assessed. Correlations between imaging depth of invasion (iDOI) and pathological DOI (pDOI), and between imaging primary tumor (iT) and pT, PNI, and ENE were evaluated. Methods: Baseline magnetic resonance imaging (MRI) from January 2021 to December 2022 of 224 upfront-operated OTSCC patients was reviewed by two blinded radiologists using contrast-enhanced thin-slice. iITMP (types 1-3) were classified based on inner tumor margin morphology. iDOI was measured after excluding peritumoral hyperenhancement. Correlation between categorical and continuous variables were assessed using Kappa statistics and Spearman's test respectively. Associations between categorical variables were analyzed using Fisher's exact or Pearson's chi-squared tests. Univariable and multivariable analyses were additionally performed. Results: The mean patient age was 47 ± 11 years. Substantial agreement was observed between iITMP and WPOI, and between iT and pT. iDOI strongly correlated with pDOI. iITMP was significantly associated with pT, irregular (iITMP2) and infiltrative (iITMP3) margins were associated with PNI only on univariate analysis, while iITMP was not an independent predictor on multivariable analysis. iT significantly correlated with PNI and ENE. Conclusions: iITMP strongly correlate with WPOI and is substantially associated with pT categories. iT categories show significant association with PNI and ENE. Therefore, iITMP and iT may serve as potential imaging biomarkers of adverse histopathological features in OTSCC.
SN - 2072-6694
ER -