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

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• 作者：Anne I. J. Arens (1)
  Esther G. C. Troost (2) (3)
  Bianca A. W. Hoeben (2)
  Willem Grootjans (1)
  John A. Lee (4)
  Vincent Grégoire (4)
  Mathieu Hatt (5)
  Dimitris Visvikis (5)
  Johan Bussink (2)
  Wim J. G. Oyen (1)
  Johannes H. A. M. Kaanders (2)
  Eric P. Visser (1)
  
• 关键词：18F ; Fluorothymidine PET ; Head and neck cancer ; Delineation ; Radiotherapy ; Outcome
• 刊名：European Journal of Nuclear Medicine and Molecular Imaging
• 出版年：2014
• 出版时间：May 2014
• 年：2014
• 卷：41
• 期：5
• 页码：915-924
• 全文大小：534 KB
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• 作者单位：Anne I. J. Arens (1)
  Esther G. C. Troost (2) (3)
  Bianca A. W. Hoeben (2)
  Willem Grootjans (1)
  John A. Lee (4)
  Vincent Grégoire (4)
  Mathieu Hatt (5)
  Dimitris Visvikis (5)
  Johan Bussink (2)
  Wim J. G. Oyen (1)
  Johannes H. A. M. Kaanders (2)
  Eric P. Visser (1)
  
  1. Department of Nuclear Medicine, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
  2. Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
  3. MAASTRO clinic, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
  4. Department of Radiation Oncology, Université Catholique de Louvain, St-Luc University Hospital, Brussels, Belgium
  5. INSERM UMR1101, Laboratoire de Traitement de l’Information Médicale (LaTIM), Brest, France
  
• ISSN：1619-7089

文摘

Purpose Radiotherapy of head and neck cancer induces changes in tumour cell proliferation during treatment, which can be depicted by the PET tracer 18F-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 (GTVCT). PVs were visually determined on all PET scans (PVVIS). The following semiautomatic segmentation methods were applied to sequential PET scans: background-subtracted relative-threshold level (PVRTL), a gradient-based method using the watershed transform algorithm and hierarchical clustering analysis (PVW&C), and a fuzzy locally adaptive Bayesian algorithm (PVFLAB). Results Pretreatment PVVIS correlated best with PVFLAB and GTVCT. Correlations with PVRTL and PVW&C were weaker although statistically significant. During treatment, the PVVIS, PVW&C and PVFLAB significant decreased over time with the steepest decline over time for PVFLAB. Among these advanced segmentation methods, PVFLAB was the most robust in segmenting volumes in the third scan (67?% of tumours as compared to 40?% for PVW&C and 27?% for PVRTL). A decrease in PVFLAB 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.