Kinjal Shankar Majumdar1,2, Pallvi Kaul1,3,2, Vikramjit Singh Kailey1, Dungala Dileep Maharaj1,2,4, Abhinav Thaduri1,2, Ipsit Ilahi2, Achyuth Panuganti1,2, Shahab Ali Usmani1,2, Abhijeet Singh1,2,5, Dharma Ram Poonia2,6, Mahendra Pal Singh2,7, Yogesh Bahurupi8, Ashok Singh9, Satya Prakash Agarwal1,3, Pankaj Sharma10, Rajkumar Kottayasamy Seenivasagam11,12. 1. Department of Otolaryngology and Head and Neck Surgery, All India Institute of Medical Sciences, Rishikesh, India. 2. Department of Surgical Oncology, All India Institute of Medical Sciences, Rishikesh, India. 3. Department of Surgical Oncology, Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun, India. 4. Head and Neck Surgery, Seven Hills Hospital, Vishakhapatnam, India. 5. Department of ENT, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India. 6. Department of Surgical Oncology, All India Institute of Medical Sciences, Jodhpur, India. 7. Department of Surgical Oncology, Jawahar Lal Nehru Cancer Hospital, Bhopal, India. 8. Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, India. 9. Department of Pathology, All India Institute of Medical Sciences, Rishikesh, India. 10. Department of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, India. 11. Department of Surgical Oncology, All India Institute of Medical Sciences, Rishikesh, India. drksrajkumar@gmail.com. 12. Department of Surgical Oncology, PSG Super Specialty Hospital, PSG Institute of Medical Sciences and Research, Coimbatore, 641004, Tamil Nadu, India. drksrajkumar@gmail.com.
Abstract
PURPOSE: Inclusion of depth of invasion (DOI) in the recent AJCC/UICC TNM staging for oral cancer has incorporated the concept of tumor third dimension and its prognostic importance. However, there is no uniform consensus about measuring DOI at clinical setting at present. For more practical reasons, radiological tumor thickness (rTT) is a simple and practical measurement which can be used as a clinical predictor of pDOI. METHODS: We compared rTT and pathological DOI (pDOI) of 179 patients with OSCC who underwent curative surgery from April 2018 to April 2020 at AIIMS Rishikesh, India. Spearman correlation was used to determine correlation between rTT and pDOI. ROC curve was used to determine inter-group cutoff values. RESULTS: Overall, rTT showed a strong correlation with pDOI (rho = 0.74; 95% CI 0.667-0.8; p < 0.001). The inter-group cutoff value for rTT were 8 mm (Sn 89.1%; Sp 53.2%) between Group A (pDOI ≤ 5 mm) and B (pDOI > 5 mm, ≤ 10 mm), and 14 mm (Sn 89.5%; Sp 78.3%) between Group B and C (pDOI > 10 mm), respectively. CONCLUSIONS: rTT is a clinical predictor of pDOI in OSCC, and may be considered as a surrogate of DOI in the clinical setting.
PURPOSE: Inclusion of depth of invasion (DOI) in the recent AJCC/UICC TNM staging for oral cancer has incorporated the concept of tumor third dimension and its prognostic importance. However, there is no uniform consensus about measuring DOI at clinical setting at present. For more practical reasons, radiological tumor thickness (rTT) is a simple and practical measurement which can be used as a clinical predictor of pDOI. METHODS: We compared rTT and pathological DOI (pDOI) of 179 patients with OSCC who underwent curative surgery from April 2018 to April 2020 at AIIMS Rishikesh, India. Spearman correlation was used to determine correlation between rTT and pDOI. ROC curve was used to determine inter-group cutoff values. RESULTS: Overall, rTT showed a strong correlation with pDOI (rho = 0.74; 95% CI 0.667-0.8; p < 0.001). The inter-group cutoff value for rTT were 8 mm (Sn 89.1%; Sp 53.2%) between Group A (pDOI ≤ 5 mm) and B (pDOI > 5 mm, ≤ 10 mm), and 14 mm (Sn 89.5%; Sp 78.3%) between Group B and C (pDOI > 10 mm), respectively. CONCLUSIONS: rTT is a clinical predictor of pDOI in OSCC, and may be considered as a surrogate of DOI in the clinical setting.
Authors: E A M Weimar; S H Huang; L Lu; B O'Sullivan; B Perez-Ordonez; I Weinreb; A Hope; L Tong; D Goldstein; J Irish; J R de Almeida; S Bratman; W Xu; E Yu Journal: AJNR Am J Neuroradiol Date: 2018-08-30 Impact factor: 3.825