TY - JOUR
T1 - Revisiting the Predictive Factors for Nodal Metastasis in Oral Cancers—a Leap Towards Personalized Patient Treatment Approach
AU - Panuganti, Achyuth
AU - Sahu, Madhu Priya
AU - Garg, Pankaj Kumar
AU - Malhotra, Manu
AU - Thaduri, Abhinav
AU - Majumdar, Kinjal
AU - Usmani, Shahab
AU - Kailey, Vikramjit Singh
AU - Sood, Rachit
AU - Bhardwaj, Abhishek
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Indian Association of Surgical Oncology.
PY - 2023/6
Y1 - 2023/6
N2 - The incidence of oral squamous cell carcinoma is steadily increasing globally, and even with a better understanding of tumor biology and advanced treatment modalities, the survival of OSCC patients is still not improved. A single metastatic cervical node can decrease survival by 50%. Our study intends to identify the clinical, radiological, and histological factors, significant for nodal metastasis in the pretreatment setting. Ninety-three patients’ data is prospectively collected and analyzed to identify the significance of various factors in predicting nodal metastasis. Clinical factors like smokeless tobacco and nodal characteristics and T category and radiological factors like the number of specific nodes were significant for pathological nodes on univariate analysis. Ankyloglossia, radiological ENE, and radiological nodal size were significant on multivariate analysis also. In the pretreatment setting, clinicopathological and radiological factors can be used to predict nodal metastasis in generating predictive nomograms and for better planning of treatment.
AB - The incidence of oral squamous cell carcinoma is steadily increasing globally, and even with a better understanding of tumor biology and advanced treatment modalities, the survival of OSCC patients is still not improved. A single metastatic cervical node can decrease survival by 50%. Our study intends to identify the clinical, radiological, and histological factors, significant for nodal metastasis in the pretreatment setting. Ninety-three patients’ data is prospectively collected and analyzed to identify the significance of various factors in predicting nodal metastasis. Clinical factors like smokeless tobacco and nodal characteristics and T category and radiological factors like the number of specific nodes were significant for pathological nodes on univariate analysis. Ankyloglossia, radiological ENE, and radiological nodal size were significant on multivariate analysis also. In the pretreatment setting, clinicopathological and radiological factors can be used to predict nodal metastasis in generating predictive nomograms and for better planning of treatment.
UR - https://www.scopus.com/pages/publications/85145923730
UR - https://www.scopus.com/inward/citedby.url?scp=85145923730&partnerID=8YFLogxK
U2 - 10.1007/s13193-022-01701-9
DO - 10.1007/s13193-022-01701-9
M3 - Article
AN - SCOPUS:85145923730
SN - 0975-7651
VL - 14
SP - 392
EP - 397
JO - Indian Journal of Surgical Oncology
JF - Indian Journal of Surgical Oncology
IS - 2
ER -