Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma Using 11C-Choline and 18F-FDG PET/CT

This study was conducted to evaluate the variability of gross tumor volume (GTV) using 11C-Choline and 18F-FDG PET/CT images for nasopharyngeal carcinomas boundary definition. Assessment consisted of inter-observer and inter-modality variation analysis. Four radiation oncologists were invited to manually contour GTV by using PET/CT fusion obtained from a cohort of 12 patients with nasopharyngeal carcinoma (NPC) and who underwent both 11C-Choline and 18F-FDG scans. Student’s paired-sample t-test was performed for analyzing inter-observer and inter-modality variability. Semi-automatic segmentation methods, including thresholding and region growing, were also validated against the manual contouring of the two types of PET images. We observed no significant variation in the results obtained by different oncologists in terms of the same type of PET/CT volumes. Choline fusion volumes were significantly larger than the FDG volumes (p < 0.0001, mean ± SD = 18.21 ± 8.19). While significantly consistent results were obtained between the oncologists and the standard references in Choline volumes compared with those in FDG volumes (p = 0.0025). Simple semi-automatic delineation methods indicated that 11C-Choline PET images could provide better results than FDG volumes (p = 0.076, CI = [–0.29, 0.025]). 11C-Choline PET/CT may be more advantageous in GTV delineation for the radiotherapy of NPC than 18F-FDG. Phantom simulations and clinical trials should be conducted to prove the possible improvement of the treatment outcome.

[1]  A. Houweling,et al.  FDG-PET and diffusion-weighted MRI in head-and-neck cancer patients: implications for dose painting. , 2013, Radiotherapy and Oncology.

[2]  Jayaram K. Udupa,et al.  Co-segmentation of Functional and Anatomical Images , 2012, MICCAI.

[3]  Weerayuth Chanapai,et al.  Nasopharyngeal carcinoma segmentation using a region growing technique , 2012, International Journal of Computer Assisted Radiology and Surgery.

[4]  Quanshi Wang,et al.  Preliminary Study of 11C-Choline PET/CT for T Staging of Locally Advanced Nasopharyngeal Carcinoma: Comparison with 18F-FDG PET/CT , 2011, The Journal of Nuclear Medicine.

[5]  S. Lehnert,et al.  Defining radiotherapy target volumes using 18F-fluoro-deoxy-glucose positron emission tomography/computed tomography: still a Pandora's box? , 2010, International journal of radiation oncology, biology, physics.

[6]  Johan Bussink,et al.  Clinical evidence on PET-CT for radiation therapy planning in head and neck tumours. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  Habib Zaidi,et al.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques , 2010, European Journal of Nuclear Medicine and Molecular Imaging.

[8]  M. Miften,et al.  A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients. , 2009, Medical physics.

[9]  Daniel A Low,et al.  A novel PET tumor delineation method based on adaptive region-growing and dual-front active contours. , 2008, Medical physics.

[10]  Y. Muragaki,et al.  Metabolic Assessment of Gliomas Using 11C-Methionine, [18F] Fluorodeoxyglucose, and 11C-Choline Positron-Emission Tomography , 2008, American Journal of Neuroradiology.

[11]  A. King,et al.  The impact of 18F-FDG PET/CT on assessment of nasopharyngeal carcinoma at diagnosis. , 2008, The British journal of radiology.

[12]  Marco Brambilla,et al.  FDG-PET/CT imaging for staging and target volume delineation in preoperative conformal radiotherapy of rectal cancer. , 2008, International journal of radiation oncology, biology, physics.

[13]  S. Rafla,et al.  The impact of positron emission tomography/computed tomography in edge delineation of gross tumor volume for head and neck cancers. , 2007, International journal of radiation oncology, biology, physics.

[14]  Xiaolei Huang,et al.  Automated tumor delineation using joint PET/CT information , 2007, SPIE Medical Imaging.

[15]  A. Riegel,et al.  Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET/CT fusion. , 2005, International journal of radiation oncology, biology, physics.

[16]  Di Yan,et al.  Defining a radiotherapy target with positron emission tomography. , 2002, International journal of radiation oncology, biology, physics.

[17]  K Schnabel,et al.  18F-deoxyglucose positron emission tomography (FDG-PET) for the planning of radiotherapy in lung cancer: high impact in patients with atelectasis. , 1999, International journal of radiation oncology, biology, physics.

[18]  S M Larson,et al.  Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding , 1997, Cancer.

[19]  David Dagan Feng,et al.  Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information , 2012, Comput. Medical Imaging Graph..

[20]  Somphob Soongsathitanon,et al.  A novel scheme for Standardized Uptake Value (SUV) calculation in PET scans , 2010 .