Tumor depth of invasion versus tumor thickness in guiding regional nodal treatment in early oral tongue squamous cell carcinoma.


Journal

Oral surgery, oral medicine, oral pathology and oral radiology
ISSN: 2212-4411
Titre abrégé: Oral Surg Oral Med Oral Pathol Oral Radiol
Pays: United States
ID NLM: 101576782

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 12 02 2019
revised: 01 06 2019
accepted: 01 08 2019
pubmed: 14 10 2019
medline: 28 8 2020
entrez: 14 10 2019
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 31606422
pii: S2212-4403(19)31379-3
doi: 10.1016/j.oooo.2019.08.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

45-50

Informations de copyright

Crown Copyright © 2019. Published by Elsevier Inc. All rights reserved.

Auteurs

Brendan Liu (B)

Radiation Oncology Network, Westmead Hospital, Westmead, New South Wales, Australia.

Rajith Amaratunga (R)

Department of Surgery, Westmead Hospital, Westmead, New South Wales, Australia.

Michael Veness (M)

Radiation Oncology Network, Westmead Hospital, Westmead, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Eva Wong (E)

Department of Surgery, Westmead Hospital, Westmead, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Muzib Abdul-Razak (M)

Department of Surgery, Westmead Hospital, Westmead, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Hedley Coleman (H)

Department of Tissue Pathology and Diagnostic Oncology, New South Wales Health Pathology, Westmead Hospital, Westmead, New South Wales, Australia.

Val Gebski (V)

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.

Puma Sundaresan (P)

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.

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Classifications MeSH