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Web-based prognostic tools for oral tongue cancer: An analysis of online predictors.
Wahab, Awais; Bello, Ibrahim O; Alabi, Rasheed Omobolaji; Mascitti, Marco; Troiano, Giuseppe; Mauramo, Matti; Coletta, Ricardo D; Salo, Tuula; Almangush, Alhadi.
Affiliation
  • Wahab A; Department of Pathology, Faculty of Medicine, University of Helsinki, and Helsinki University Hospital (HUS), Helsinki, Finland.
  • Bello IO; Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland.
  • Alabi RO; Department of Pathology, Faculty of Medicine, University of Helsinki, and Helsinki University Hospital (HUS), Helsinki, Finland.
  • Mascitti M; Department of Oral Medicine and Diagnostic Sciences, King Saud University, Riyadh, Saudi Arabia.
  • Troiano G; Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
  • Mauramo M; Department of Industrial Digitalization, School of Technology and Innovations, University of Vaasa, Vaasa, Finland.
  • Coletta RD; Department of Clinical Specialistic and Dental Sciences, Marche Polytechnic University, Ancona, Italy.
  • Salo T; Department of Clinical and Experimental Medicine, Foggia University, Foggia, Italy.
  • Almangush A; Department of Pathology, Faculty of Medicine, University of Helsinki, and Helsinki University Hospital (HUS), Helsinki, Finland.
Oral Dis ; 2024 Jul 05.
Article in En | MEDLINE | ID: mdl-38968173
ABSTRACT

BACKGROUND:

Oral tongue squamous cell carcinoma (OTSCC) often presents with aggressive clinical behaviour that may require multimodality treatment based on reliable prognostication. We aimed to evaluate the prognostic ability of five online web-based tools to predict the clinical behaviour of OTSCC resection and biopsy samples.

METHODS:

A total of 135 OTSCC resection cases and 33 OTSCC biopsies were included to predict recurrence and survival. Area under the receiver operating characteristic curves (AUC), χ2 tests, and calibration plots constructed to estimate the prognostic power of each tool.

RESULTS:

The tool entitled 'Prediction of risk of Locoregional Recurrences in Early OTSCC' presented an accuracy of 82%. The tool, 'Head & Neck Cancer Outcome Calculator' for 10-year cancer-related mortality had an accuracy 77% and AUC 0.858. The other tool entitled 'Cancer Survival Rates' for 5-year mortality showed an accuracy of 74% and AUC of 0.723. For biopsy samples, 'Cancer Survival Prediction Calculators' predicted the recurrence free survival with an accuracy of 70%.

CONCLUSIONS:

Web-based tools can aid in clinical decision making of OTSCC. Three of five online web-based tools could predict recurrence risk and cancer-related mortality in resected OTSCC and one tool could help in clinical decision making for biopsy samples.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Oral Dis Journal subject: ODONTOLOGIA Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Oral Dis Journal subject: ODONTOLOGIA Year: 2024 Document type: Article Affiliation country:
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