Pathology-based validation of FDG PET segmentation tools for volume assessment of lymph node metastases from head and neck cancer
Publication year
2013Source
European Journal of Nuclear Medicine and Molecular Imaging, 40, 12, (2013), pp. 1828-35ISSN
Publication type
Article / Letter to editor
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Organization
Radiation Oncology
Laboratory of Genetic, Endocrine and Metabolic Diseases
Otorhinolaryngology
Oral and Maxillofacial Surgery
Pathology
Nuclear Medicine
Journal title
European Journal of Nuclear Medicine and Molecular Imaging
Volume
vol. 40
Issue
iss. 12
Page start
p. 1828
Page end
p. 35
Subject
IGMD 6: Hormonal regulation ONCOL 5: Aetiology, screening and detection; NCEBP 2: Evaluation of complex medical interventions; NCEBP 2: Evaluation of complex medical interventions ONCOL 3: Translational research; ONCOL 3: Translational research; ONCOL 3: Translational research N4i 1: Pathogenesis and modulation of inflammation; ONCOL 4: Quality of Care; Laboratory Medicine - Radboud University Medical Center; Medical Imaging - Radboud University Medical CenterAbstract
PURPOSE: FDG PET is increasingly incorporated into radiation treatment planning of head and neck cancer. However, there are only limited data on the accuracy of radiotherapy target volume delineation by FDG PET. The purpose of this study was to validate FDG PET segmentation tools for volume assessment of lymph node metastases from head and neck cancer against the pathological method as the standard. METHODS: Twelve patients with head and neck cancer and 28 metastatic lymph nodes eligible for therapeutic neck dissection underwent preoperative FDG PET/CT. The metastatic lymph nodes were delineated on CT (NodeCT) and ten PET segmentation tools were used to assess FDG PET-based nodal volumes: interpreting FDG PET visually (PETVIS), applying an isocontour at a standardized uptake value (SUV) of 2.5 (PETSUV), two segmentation tools with a fixed threshold of 40% and 50%, and two adaptive threshold based methods. The latter four tools were applied with the primary tumour as reference and also with the lymph node itself as reference. Nodal volumes were compared with the true volume as determined by pathological examination. RESULTS: Both NodeCT and PETVIS showed good correlations with the pathological volume. PET segmentation tools using the metastatic node as reference all performed well but not better than PETVIS. The tools using the primary tumour as reference correlated poorly with pathology. PETSUV was unsatisfactory in 35% of the patients due to merging of the contours of adjacent nodes. CONCLUSION: FDG PET accurately estimates metastatic lymph node volume, but beyond the detection of lymph node metastases (staging), it has no added value over CT alone for the delineation of routine radiotherapy target volumes. If FDG PET is used in radiotherapy planning, treatment adaptation or response assessment, we recommend an automated segmentation method for purposes of reproducibility and interinstitutional comparison.
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- Faculty of Medical Sciences [92893]
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