Web‐based prognostic tools for oral tongue cancer: An analysis of online predictors-Reference-Cited by-同舟云学术

Web‐based prognostic tools for oral tongue cancer: An analysis of online predictors

Published:2024-07-05 Issue: Volume: Page:
ISSN:1354-523X
Container-title:Oral Diseases
language:en
Short-container-title:Oral Diseases

Author:

Wahab Awais¹²^ORCID,Bello Ibrahim O.¹³,Alabi Rasheed Omobolaji⁴⁵,Mascitti Marco⁶^ORCID,Troiano Giuseppe⁷^ORCID,Mauramo Matti¹^ORCID,Coletta Ricardo D.⁸^ORCID,Salo Tuula¹²⁹¹⁰¹¹,Almangush Alhadi¹⁴¹²¹³^ORCID

Affiliation:

1. Department of Pathology, Faculty of Medicine University of Helsinki, and Helsinki University Hospital (HUS) Helsinki Finland

2. Department of Oral and Maxillofacial Diseases University of Helsinki Helsinki Finland

3. Department of Oral Medicine and Diagnostic Sciences King Saud University Riyadh Saudi Arabia

4. Research Program in Systems Oncology, Faculty of Medicine University of Helsinki Helsinki Finland

5. Department of Industrial Digitalization, School of Technology and Innovations University of Vaasa Vaasa Finland

6. Department of Clinical Specialistic and Dental Sciences Marche Polytechnic University Ancona Italy

7. Department of Clinical and Experimental Medicine Foggia University Foggia Italy

8. Department of Oral Diagnosis and Graduate Program in Oral Biology, School of Dentistry University of Campinas São Paulo Brazil

9. Translational Immunology Research Program (TRIMM), Research Program Unit (RPU) University of Helsinki Helsinki Finland

10. Department of Oncology, Comprehensive Cancer Center Helsinki University Hospital and University of Helsinki Helsinki Finland

11. Research Unit of Population Health, and Medical Research Center Oulu University of Oulu and Oulu University Central Hospital Oulu Finland

12. University of Turku Institute of Biomedicine, Pathology Turku Finland

13. Faculty of Dentistry Misurata University Misurata Libya

Abstract

AbstractBackgroundOral 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.MethodsA 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.ResultsThe 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%.ConclusionsWeb‐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.

Funder

Helsingin Yliopisto

Syöpäjärjestöt

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/odi.15009

Reference35 articles.

1. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer

2. Biopsy quality is essential for preoperative prognostication in oral tongue cancer