Abstract
Background and purpose
To investigate associations of early post-treatment 18Fluorodeoxyglucose-positron-emission-tomography (FDG-PET)-scans with local (LF), regional (RF), distant failure (DF) and overall survival (OS) in locally advanced non-small cell lung cancer (LA-NSCLC)-patients treated with concurrent chemoradiotherapy.
Materials and methods
Forty-seven stage IIIA-B NSCLC-patients included in a randomized phase II-trial (NTR2230) received 66 Gy (24x2.75 Gy) with low dose Cisplatin +/− Cetuximab. FDG-PET-scans were performed at baseline and 4 weeks post-treatment (range, 1.6–10.1). SUVmax, SUVmean, metabolic tumor volume (MTV), total lesion glycolysis (TLG) and gross tumor volume were calculated separately for the primary tumor and the involved lymph nodes to generate baseline, post-treatment, and relative response metrics defined as (metricpre-metricpost)/metricpre. Univariable cox regression analyses were performed to investigate associations between PET-metrics and outcomes.
Results
Metrics resulted from the post-treatment scan and relative response were associated with outcome, but baseline metrics were not. Primary tumor metrics were stronger associated with all outcomes than lymph node metrics. Both the volumetric (TLG/MTV) and intensity (SUVmax/SUVmean) PET-metrics were associated with OS. The intensity metrics were associated with LF, while the volumetric PET-metrics were associated with RF/DF. This was in contrast to the nodal metrics, demonstrating only an association between RF and the relative response of TLG/MTV. No preference was found between PET volumetric and intensity metrics associated with outcome.
Conclusion
Early post-treatment PET-metrics are associated with treatment outcome in LA-NSCLC patients treated with chemoradiotherapy. Both volumetric and intensity PET-metrics are useful, but more for the primary tumor than for lymph nodes.
To investigate associations of early post-treatment 18Fluorodeoxyglucose-positron-emission-tomography (FDG-PET)-scans with local (LF), regional (RF), distant failure (DF) and overall survival (OS) in locally advanced non-small cell lung cancer (LA-NSCLC)-patients treated with concurrent chemoradiotherapy.
Materials and methods
Forty-seven stage IIIA-B NSCLC-patients included in a randomized phase II-trial (NTR2230) received 66 Gy (24x2.75 Gy) with low dose Cisplatin +/− Cetuximab. FDG-PET-scans were performed at baseline and 4 weeks post-treatment (range, 1.6–10.1). SUVmax, SUVmean, metabolic tumor volume (MTV), total lesion glycolysis (TLG) and gross tumor volume were calculated separately for the primary tumor and the involved lymph nodes to generate baseline, post-treatment, and relative response metrics defined as (metricpre-metricpost)/metricpre. Univariable cox regression analyses were performed to investigate associations between PET-metrics and outcomes.
Results
Metrics resulted from the post-treatment scan and relative response were associated with outcome, but baseline metrics were not. Primary tumor metrics were stronger associated with all outcomes than lymph node metrics. Both the volumetric (TLG/MTV) and intensity (SUVmax/SUVmean) PET-metrics were associated with OS. The intensity metrics were associated with LF, while the volumetric PET-metrics were associated with RF/DF. This was in contrast to the nodal metrics, demonstrating only an association between RF and the relative response of TLG/MTV. No preference was found between PET volumetric and intensity metrics associated with outcome.
Conclusion
Early post-treatment PET-metrics are associated with treatment outcome in LA-NSCLC patients treated with chemoradiotherapy. Both volumetric and intensity PET-metrics are useful, but more for the primary tumor than for lymph nodes.
| Original language | English |
|---|---|
| Pages (from-to) | 30-36 |
| Number of pages | 7 |
| Journal | Radiotherapy and Oncology |
| Volume | 143 |
| DOIs | |
| Publication status | Published - Feb 2020 |
| Externally published | Yes |
Bibliographical note
FundingThis research was partially funded by Health Holland publicprivate partnership grant (LSHM15036) in collaboration with Elekta Oncology Systems AB.
