A secondary analysis of FDG spatio-temporal consistency in the randomized phase II PET-boost trial in stage II–III NSCLC
Research output: Contribution to journal › Journal article › Research › peer-review
Purpose: FDG-PET scans have shown spatial consistency in NSCLC patients before and following chemoradiotherapy, implying radioresistance. We hypothesized that patients, who received FDG-PET redistributed dose painting, would demonstrate reduced spatial consistency when compared to registered patients or to escalated dose treatment. Methods: Stage II–IIIB, inoperable NSCLC patients were randomized in a phase II trial (NCT01024829) to (chemo)radiotherapy of either homogeneous boosting to the primary tumor, or redistributed inhomogeneous boosting to the GTV subvolume (FDG-SUV > 50% SUVmax). Patients who could not be boosted (≥72 Gy) received 66 Gy in 24 fractions. Spatial consistency of pre-treatment and post-treatment (3 months) FDG-PET scans was measured by various overlap fraction thresholds. Results: 66/82 patients analyzed received randomized treatment in the trial. Thresholds of 50% SUVmax pre-treatment and 70% SUVmax post-treatment yielded a median overlap fraction of 0.63 [interquartile range: 0.15–0.93], with similar results for other thresholds. No significant differences were found among overlap fractions of the treatment groups. A high incidence of FDG-uptake in normal lung (grade-1 pneumonitis: 73%) was found post-treatment. Conclusion: FDG redistributed boosting did not reduce FDG spatial consistency from pre-treatment to post-treatment, which was highly variable among patients. The study found high numbers of patients with lung inflammation after treatment.
Original language | English |
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Journal | Radiotherapy and Oncology |
Volume | 127 |
Issue number | 2 |
Pages (from-to) | 259-266 |
Number of pages | 8 |
ISSN | 0167-8140 |
DOIs | |
Publication status | Published - 2018 |
Bibliographical note
Publisher Copyright:
© 2018 Elsevier B.V.
- Dose escalation, Dose painting, FDG PET, Integrated boost, NSCLC
Research areas
ID: 357367212