Brendan Liu1, Rajith Amaratunga2, Michael Veness3, Eva Wong4, Muzib Abdul-Razak4, Hedley Coleman5, Val Gebski6, Puma Sundaresan7. 1. Radiation Oncology Network, Westmead Hospital, Westmead, New South Wales, Australia. 2. Department of Surgery, Westmead Hospital, Westmead, New South Wales, Australia. 3. Radiation Oncology Network, Westmead Hospital, Westmead, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia. 4. Department of Surgery, Westmead Hospital, Westmead, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia. 5. Department of Tissue Pathology and Diagnostic Oncology, New South Wales Health Pathology, Westmead Hospital, Westmead, New South Wales, Australia. 6. Radiation Oncology Network, Westmead Hospital, Westmead, New South Wales, Australia; National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia. 7. Radiation Oncology Network, Westmead Hospital, Westmead, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia. Electronic address: Purnima.Sundaresan@health.nsw.gov.au.
Abstract
OBJECTIVES: Tumor thickness (TT) and tumor depth of invasion (DOI) correlate with the risk of regional lymph node metastases in early oral tongue squamous cell carcinoma (OTSCC). We aimed to determine optimal cutoff points to guide elective nodal treatment in early OTSCC. STUDY DESIGN: This retrospective study included 145 patients treated between 1995 and 2012 for histologically proven OTSCC (<4 cm). The minimum P value method was used to calculate the cut-point values of TT and DOI that predicted for nodal disease. The utility of the DOI cut-point value and the 5-mm DOI currently used for staging were then compared. RESULTS: Logistic regression analysis demonstrated that DOI (P = .00036) and TT (P = .0001) were highly correlated with nodal disease and each other. The cut-points that best predicted for nodal disease were 4.5 mm for DOI and 8 mm for TT. There was no difference in utility between DOIs of 4.5 mm and 5 mm. CONCLUSIONS: TT and DOI were highly correlated with nodal risk but had different cut-points for prediction. Our findings highlight the need to recognize these parameters as discrete entities and to report them appropriately. This study's findings support the use of the 5-mm DOI, currently used for staging, as also the threshold value to guide elective nodal treatment. Crown
OBJECTIVES:Tumor thickness (TT) and tumor depth of invasion (DOI) correlate with the risk of regional lymph node metastases in early oral tongue squamous cell carcinoma (OTSCC). We aimed to determine optimal cutoff points to guide elective nodal treatment in early OTSCC. STUDY DESIGN: This retrospective study included 145 patients treated between 1995 and 2012 for histologically proven OTSCC (<4 cm). The minimum P value method was used to calculate the cut-point values of TT and DOI that predicted for nodal disease. The utility of the DOI cut-point value and the 5-mm DOI currently used for staging were then compared. RESULTS: Logistic regression analysis demonstrated that DOI (P = .00036) and TT (P = .0001) were highly correlated with nodal disease and each other. The cut-points that best predicted for nodal disease were 4.5 mm for DOI and 8 mm for TT. There was no difference in utility between DOIs of 4.5 mm and 5 mm. CONCLUSIONS: TT and DOI were highly correlated with nodal risk but had different cut-points for prediction. Our findings highlight the need to recognize these parameters as discrete entities and to report them appropriately. This study's findings support the use of the 5-mm DOI, currently used for staging, as also the threshold value to guide elective nodal treatment. Crown
Authors: Eder da Silva Dolens; Mauricio Rocha Dourado; Alhadi Almangush; Tuula A Salo; Clarissa Araujo Gurgel Rocha; Sabrina Daniela da Silva; Peter A Brennan; Ricardo D Coletta Journal: Front Oncol Date: 2021-11-10 Impact factor: 6.244
Authors: Nathan Farrokhian; Andrew J Holcomb; Erin Dimon; Omar Karadaghy; Christina Ward; Erin Whiteford; Claire Tolan; Elyse K Hanly; Marisa R Buchakjian; Brette Harding; Laura Dooley; Justin Shinn; C Burton Wood; Sarah L Rohde; Sobia Khaja; Anuraag Parikh; Mustafa G Bulbul; Joseph Penn; Sara Goodwin; Andrés M Bur Journal: JAMA Netw Open Date: 2022-04-01