Predictive and prognostic values of pretreatment functional imaging-based biomarkers in advanced-stage laryngeal cancer

Yıl 2018, Cilt: 8 Sayı: 1, 1 - 12, 31.05.2018

Görkem Eskiizmir , Gülgün Yılmaz Ovalı Feray Aras Beyhan Cengiz Özyurt Serdar Tarhan

Öz

Objective: To determine the quantitative
values of apparent diffusion coefficient (ADC), standardized uptake
values (SUVmax, SUVmean), metabolic tumor volume (MTV), metabolic tumor
volume indexes (MTImax, and MTImean) using diffusion weighted-MRI
(DW-MRI) and positron emission tomography/computed tomography (PET/CT),
and analyze the predictive and prognostic values of these biomarkers in a
homogenous group of patients with advanced-stage laryngeal cancer.




Methods:
Patients with newly diagnosed advanced-stage laryngeal cancer who had
both DW-MRI and 18F-FDG PET/CT before treatment, and who had curative
cancer treatment (surgery ± adjuvant therapy or radio ± chemotherapy)
between 2011 and 2015 were included in this study. All patients were
followed up clinically and radiologically, if necessary every 3 months
for the first 2 years, every 4-6 months for year 3, and then annually
thereafter.




Results:
Thirty-eight patients were retrospectively analyzed. Our analysis
demonstrated statistically significant differences when the pretreatment
SUV and MTImean value were compared between patients with stages III
and IV. Standardized uptake value was also a predictive factor for
N-stage. Moreover, a statistically significant difference was determined
when patients with and without perinodal involvement (PNI) were
compared. Log rank analysis demonstrated that none of functional
imaging-based biomarkers had a prognostic role for oncological outcomes.





Conclusion: Our
results demonstrated that pretreatment SUV and MTImean values were
predictive factors for staging, N-stage and PNI. Indeed, functional
imaging-based biomarkers are promising, novel, non-invasive techniques
that may provide additional information about tumor characteristics,
treatment selection and prognosis in the near future.

Anahtar Kelimeler

Predictive, prognostic, imaging-based biomarkers, laryngeal cancer

Kaynakça

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