Semiautomatic methods for segmentation of the proliferative tumour volume on sequential FLT PET/CT images in head and neck carcinomas and their relation to clinical outcome
Purpose Radiotherapy of head and neck cancer induces changes in tumour cell proliferation during treatment, which can be depicted by the PET tracer 18 F-fluorothymidine (FLT). In this study, three advanced semiautomatic PET segmentation methods for delineation of the proliferative tumour volume (PV)...
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Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2014-05, Vol.41 (5), p.915-924 |
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Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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Zusammenfassung: | Purpose
Radiotherapy of head and neck cancer induces changes in tumour cell proliferation during treatment, which can be depicted by the PET tracer
18
F-fluorothymidine (FLT). In this study, three advanced semiautomatic PET segmentation methods for delineation of the proliferative tumour volume (PV) before and during (chemo)radiotherapy were compared and related to clinical outcome.
Methods
The study group comprised 46 patients with 48 squamous cell carcinomas of the head and neck, treated with accelerated (chemo)radiotherapy, who underwent FLT PET/CT prior to treatment and in the 2nd and 4th week of therapy. Primary gross tumour volumes were visually delineated on CT images (GTV
CT
). PVs were visually determined on all PET scans (PV
VIS
). The following semiautomatic segmentation methods were applied to sequential PET scans: background-subtracted relative-threshold level (PV
RTL
), a gradient-based method using the watershed transform algorithm and hierarchical clustering analysis (PV
W&C
), and a fuzzy locally adaptive Bayesian algorithm (PV
FLAB
).
Results
Pretreatment PV
VIS
correlated best with PV
FLAB
and GTV
CT
. Correlations with PV
RTL
and PV
W&C
were weaker although statistically significant. During treatment, the PV
VIS
, PV
W&C
and PV
FLAB
significant decreased over time with the steepest decline over time for PV
FLAB
. Among these advanced segmentation methods, PV
FLAB
was the most robust in segmenting volumes in the third scan (67 % of tumours as compared to 40 % for PV
W&C
and 27 % for PV
RTL
). A decrease in PV
FLAB
above the median between the pretreatment scan and the scan obtained in the 4th week was associated with better disease-free survival (4 years 90 % versus 53 %).
Conclusion
In patients with head and neck cancer, FLAB proved to be the best performing method for segmentation of the PV on repeat FLT PET/CT scans during (chemo)radiotherapy. This may potentially facilitate radiation dose adaptation to changing PV. |
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ISSN: | 1619-7070 1619-7089 |
DOI: | 10.1007/s00259-013-2651-0 |