Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer.

TitlePrognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer.
Publication TypeJournal Article
Year of Publication2013
AuthorsCarvalho, S, Leijenaar, RTH, Velazquez, ERios, Oberije, C, Parmar, C, van Elmpt, W, Reymen, B, Troost, EGC, Oellers, M, Dekker, A, Gillies, R, Aerts, HJWL, Lambin, P
JournalActa Oncol
Volume52
Issue7
Pagination1398-404
Date Published2013 Oct
Publication LanguageENG
ISSN1651-226X
KeywordsAged, Carcinoma, Non-Small-Cell Lung, Female, Fluorodeoxyglucose F18, Humans, Lung Neoplasms, Male, Neoplasm Staging, Positron-Emission Tomography, Prognosis, Radiopharmaceuticals, Radiotherapy Planning, Computer-Assisted, Radiotherapy, Image-Guided, Tumor Burden
Abstract

BACKGROUND: Maximum, mean and peak SUV of primary tumor at baseline FDG-PET scans, have often been found predictive for overall survival in non-small cell lung cancer (NSCLC) patients. In this study we further investigated the prognostic power of advanced metabolic metrics derived from intensity volume histograms (IVH) extracted from PET imaging.METHODS: A cohort of 220 NSCLC patients (mean age, 66.6 years; 149 men, 71 women), stages I-IIIB, treated with radiotherapy with curative intent were included (NCT00522639). Each patient underwent standardized pre-treatment CT-PET imaging. Primary GTV was delineated by an experienced radiation oncologist on CT-PET images. Common PET descriptors such as maximum, mean and peak SUV, and metabolic tumor volume (MTV) were quantified. Advanced descriptors of metabolic activity were quantified by IVH. These comprised five groups of features: absolute and relative volume above relative intensity threshold (AVRI and RVRI), absolute and relative volume above absolute intensity threshold (AVAI and RVAI), and absolute intensity above relative volume threshold (AIRV). MTV was derived from the IVH curves for volumes with SUV above 2.5, 3 and 4, and of 40% and 50% maximum SUV. Univariable analysis using Cox Proportional Hazard Regression was performed for overall survival assessment.RESULTS: Relative volume above higher SUV (80%) was an independent predictor of OS (p = 0.05). None of the possible surrogates for MTV based on volumes above SUV of 3, 40% and 50% of maximum SUV showed significant associations with OS [p (AVAI3) = 0.10, p (AVAI4) = 0.22, p (AVRI40%) = 0.15, p (AVRI50%) = 0.17]. Maximum and peak SUV (r = 0.99) revealed no prognostic value for OS [p (maximum SUV) = 0.20, p (peak SUV) = 0.22].CONCLUSIONS: New methods using more advanced imaging features extracted from PET were analyzed. Best prognostic value for OS of NSCLC patients was found for relative portions of the tumor above higher uptakes (80% SUV).

DOI10.3109/0284186X.2013.812795
Alternate JournalActa Oncol
PubMed ID24047338
PubMed Central IDPMC4464799
Grant ListU01 CA143062 / CA / NCI NIH HHS / United States
U01 CA 143062 - 01 / CA / NCI NIH HHS / United States