Predictive value of the tumor oxygenation by means of pO(2) histography inpatients with advanced head and neck cancer

Citation
V. Rudat et al., Predictive value of the tumor oxygenation by means of pO(2) histography inpatients with advanced head and neck cancer, STRAH ONKOL, 177(9), 2001, pp. 462-468
Citations number
17
Categorie Soggetti
Oncology
Journal title
STRAHLENTHERAPIE UND ONKOLOGIE
ISSN journal
01797158 → ACNP
Volume
177
Issue
9
Year of publication
2001
Pages
462 - 468
Database
ISI
SICI code
0179-7158(200109)177:9<462:PVOTTO>2.0.ZU;2-X
Abstract
Purpose: The purpose of this analysis was to evaluate the potential of the tumor oxygenation by means of Eppendorf pO(2) histography as a predictive t est to select patients for treatment alternatives. Patients and Methods: Pretreatment tumor pO(2) histographies of Locoregiona l Lymph node metastases were assessed in 194 patients with squamous cell ca rcinoma of the head and neck. Included in the analysis were 134 patients wh o received a primary radio- or radiochemotherapy with a radiation dose of g reater than or equal to 60 Gy, and who had no distant metastasis at beginni ng of the therapy. Results: The Cox regression analysis revealed the fraction of pO(2) values less than or equal to 2.5 mm Hg (p = 0.004), age (p = 0.04) and radiotherap y/radiochemotherapy (p = 0.03) as significant independent prognostic factor s for the survival. The positive and negative predictive values were calcul ated using different cut-off values of the fraction of pO(2) values less th an or equal to 2.5 mm Hg and the survival status at 1 or 2 years after begi nning of the therapy as endpoint. The highest positive and negative predict ive values of AL cut-off values were 0.50 and 0.41 at 1 year, and 0.81 and 0.26 at 2 years. Conclusions: Our data confirm the influence of the tumor oxygenation on the prognosis of patients with squamous cell carcinoma of the head and neck af ter radiotherapy. However, the calculated positive and negative predictive values suggest that the pO2 histography alone is not sufficient to be used as a predictive test to successfully select patients for treatment alternat ives.