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Published in: Nuclear Medicine and Molecular Imaging 1/2014

01-03-2014 | Original Article

Intratumoral Metabolic Heterogeneity for Prediction of Disease Progression After Concurrent Chemoradiotherapy in Patients with Inoperable Stage III Non-Small-Cell Lung Cancer

Authors: Sae-Ryung Kang, Ho-Chun Song, Byung Hyun Byun, Jong-Ryool Oh, Hyeon-Sik Kim, Sun-Pyo Hong, Seong Young Kwon, Ari Chong, Jahae Kim, Sang-Geon Cho, Hee Jeong Park, Young-Chul Kim, Sung-Ja Ahn, Jung-Joon Min, Hee-Seung Bom

Published in: Nuclear Medicine and Molecular Imaging | Issue 1/2014

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Abstract

Purpose

We evaluated the value of variable 18F-FDG PET/CT parameters for the prediction of disease progression after concurrent chemoradiotherapy (CCRT) in patients with inoperable stage III non-small-cell lung cancer (NSCLC).

Methods

One hundred sixteen pretreatment FDG PET/CT scans of inoperable stage III NSCLC were retrospectively reviewed (stage IIIA: 51; stage IIIB: 65). The volume of interest was automatically drawn for each primary lung tumor, and PET parameters were assessed as follows: maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) using the boundaries presenting SUV intensity exceeding 3.0, and the area under the curve of the cumulative SUV-volume histograms (AUC-CSH), which is known to reflect the tumor heterogeneity. Progression-free survival (PFS), locoregional recurrence-free survival (LRFS), and distant metastasis-free survival (DMFS) were compared with each PET and clinical parameters by univariate and multivariate survival analysis.

Results

In the ROC analysis, the optimal cutoff values of SUVmax, MTV (cm3), and AUC-CSH for prediction of PFS were determined as 21.5, 27.7, and 4,800, respectively. In univariate analysis, PFS was statistically significantly reduced in those with AUC-CSH < 4,800 (p = 0.004). In multivariate analysis, AUC-CSH and SUVmax were statistically significant independent prognostic factors (HR 3.35, 95 % CI 1.79–6.28, p < 0.001; HR 0.25, 95 % CI 0.09–0.70, p = 0.008, respectively). Multivariate analysis showed that AUC-CSH was the most significant independent prognostic factor for LRFS and DMFS (HR 3.27, 95 % CI 1.54–6.94, p = 0.002; HR 2.79, 95 % CI 1.42–5.50, p = 0.003).

Conclusions

Intratumoral metabolic heterogeneity of primary lung tumor in 18F-FDG PET/CT can predict disease progression after CCRT in inoperable stage III NSCLC.
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Metadata
Title
Intratumoral Metabolic Heterogeneity for Prediction of Disease Progression After Concurrent Chemoradiotherapy in Patients with Inoperable Stage III Non-Small-Cell Lung Cancer
Authors
Sae-Ryung Kang
Ho-Chun Song
Byung Hyun Byun
Jong-Ryool Oh
Hyeon-Sik Kim
Sun-Pyo Hong
Seong Young Kwon
Ari Chong
Jahae Kim
Sang-Geon Cho
Hee Jeong Park
Young-Chul Kim
Sung-Ja Ahn
Jung-Joon Min
Hee-Seung Bom
Publication date
01-03-2014
Publisher
Springer Berlin Heidelberg
Published in
Nuclear Medicine and Molecular Imaging / Issue 1/2014
Print ISSN: 1869-3474
Electronic ISSN: 1869-3482
DOI
https://doi.org/10.1007/s13139-013-0231-7

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