B. Zackrisson et al., PREDICTIVE VALUE OF POTENTIAL DOUBLING TIME IN HEAD AND NECK-CANCER PATIENTS TREATED BY CONVENTIONAL RADIOTHERAPY, International journal of radiation oncology, biology, physics, 38(4), 1997, pp. 677-683
Citations number
25
Categorie Soggetti
Oncology,"Radiology,Nuclear Medicine & Medical Imaging
Purpose: The goal of this study was to investigate the clinical utilit
y of pretreatment measurements of tumor cell kinetics to predict the o
utcome of patients with squamous cell carcinoma of the head and neck r
eceiving conventional radiotherapy. Methods and Materials: All patient
s received between 64 and 70 Gy as 2 Gy fractions, five fractions per
week, Cell kinetics were assayed rapidly and quantitatively using flow
cytometric evaluation of iododeoxyuridine (IdUrd) incorporation, in v
ivo, from a biopsy removed several hours after the administration of t
he DNA precursor to the patient prior to the start of treatment, Resul
ts: The measured proliferation parameters were not related. to the cli
nicopathological features of the tumors, emphasizing the independent n
ature of these parameters, In univariate analysis, nodal involvement w
as the most important clinical feature of the tumors related to local
control followed by T-pot, DNA aneuploidy, and attainment of complete
regression at 6 weeks, Of these only T-pot and nodal status maintained
significance in multivariate analysis, with respect to loco-regional
control, In subgroup analysis, T-pot was able to stratify patients int
o high or low rate of loco-regional control in node negative patients,
in aneuploid tumors and in patients who did achieve complete regressi
on at 6 weeks, For cause specific survival, N-stage was the only param
eter that significantly discriminated the prognosis in these patients,
Conclusions: The conclusion of this study is that T-pot provides clin
ically important information that can predict patients with a low prob
ability of achieving long-term local control with conventional fractio
nation. Further improvements to the methodology to address the shortco
mings of analyzing diploid tumors may increase the predictive power of
the measurement. (C) 1997 Elsevier Science Inc.