Journal article
Tumor Volume as a Potential Imaging-Based Risk-Stratification Factor in Trimodality Therapy for Locally Advanced Non-small Cell Lung Cancer
Journal of thoracic oncology, Vol.6(5), pp.920-926
05/2011
DOI: 10.1097/JTO.0b013e31821517db
PMID: 21774104
Abstract
The role of trimodality therapy for locally advanced non-small cell lung cancer (NSCLC) continues to be defined. We hypothesized that imaging parameters on pre- and postradiation positron emission tomography (PET)-computed tomography (CT) imaging are prognostic for outcome after preoperative chemoradiotherapy (CRT)/resection/consolidation chemotherapy and could help risk-stratify patients in clinical trials.
We enrolled 13 patients on a prospective clinical trial of trimodality therapy for resectable locally advanced NSCLC. PET-CT was acquired for radiation planning and after 45 Gy. Gross tumor volume (GTV) and standardized uptake value were measured at pre- and post-CRT time points and correlated with nodal pathologic complete response, loco-regional and/or distant progression, and overall survival. In addition, we evaluated the performance of automatic deformable image registration (ADIR) software for volumetric response assessment.
All patients responded with average total GTV reductions after 45 Gy of 43% (range: 27–64%). Pre- and post-CRT GTVs were highly correlated (R2 = 0.9), and their respective median values divided the patients into the same two groups. ADIR measurements agreed closely with manually segmented post-CRT GTVs. Patients with GTV ≥ median (137 ml pre-CRT and 67 ml post-CRT) had 3-year progression-free survival (PFS) of 14% versus 75% for GTV less than median, a significant difference (p = 0.049). Pre- and post-CRT PET-standardized uptake value did not correlate significantly with pathologic complete response, PFS, or overall survival.
Preoperative CRT with carboplatin/docetaxel/45 Gy resulted in excellent response rates. In this exploratory analysis, pre- and post-CRT GTV predicted PFS in trimodality therapy, consistent with our earlier studies in a broader cohort of NSCLC. ADIR seems robust enough for volumetric response assessment in clinical trials.
Details
- Title: Subtitle
- Tumor Volume as a Potential Imaging-Based Risk-Stratification Factor in Trimodality Therapy for Locally Advanced Non-small Cell Lung Cancer
- Creators
- Margaret M. Kozak - Stanford MedicineJames D. Murphy - Stanford MedicineMeike L. Schipper - Stanford UniversityJessica S. Donington - New York UniversityLisa Zhou - Stanford UniversityRichard I. Whyte - Stanford UniversityJoseph B. Shrager - Stanford UniversityChuong D. Hoang - Stanford UniversityJose Bazan - Stanford MedicinePeter G. Maxim - Stanford MedicineEdward E. Graves - Stanford MedicineMaximilian Diehn - Stanford MedicineWendy Y. Hara - Stanford MedicineAndrew Quon - Stanford UniversityQuynh-Thu Le - Stanford MedicineHeather A. Wakelee - Stanford UniversityBilly W. Loo - Stanford Medicine
- Resource Type
- Journal article
- Publication Details
- Journal of thoracic oncology, Vol.6(5), pp.920-926
- Publisher
- Elsevier Inc
- DOI
- 10.1097/JTO.0b013e31821517db
- PMID
- 21774104
- ISSN
- 1556-0864
- eISSN
- 1556-1380
- Language
- English
- Date published
- 05/2011
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9984313091602771
Metrics
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