Author/Authors :
Yaraghi, Yasmin Department of Nuclear Engineering, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran , Jabbari, Iraj Department of Nuclear Engineering, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran , Akhavan, Ali Department of Radiation Oncology, Seyed Al-Shohada Hospital, Isfahan University of Medical Sciences, Isfahan, Iran , Ghaffarian, Pardis PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran , Monadi, Shahram Department of Radiation Oncology, Seyed Al-Shohada Hospital, Isfahan University of Medical Sciences, Isfahan, Iran , Saeb, Mohsen Department of Medical Physics, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract :
Introduction: Tumor volume delineation is the most important step in the radiation treatment planning. In this study the
impact of PET/CT data on the tumor delineation precision of non-small cell lung cancer (NSCLC) was investigated.
Methods: PET/CT images of 20 patients with primary NSCLC were obtained and imported to the treatment planning system
for image fusion, contouring and radiation treatment planning. For each patient two separate gross tumor volumes were
delineated based on CT and PET/CT images as GTVCT and GTVPET/CT, respectively. In addition, three different indices
including conformity index (CI), geographic miss index (GMI) and geographic include index (GII) were calculated to quantify
the match and mismatches degree between derived volumes. Then, for each patient an appropriate 3D conformal treatment
plan was made based on the PTVCT and then these plans were applied on the PTVPET/CT. Afterwards, the dose coverage of
PTVPET/CT was estimated through several dosimetric parameters.
Results: The GTVPET/CT was larger than GTVCT for majority of cases. The 25% exceeded volumetric alterations were observed
in 8 of all cases (40%). Mean values of CI, GMI and GII were 0.43, 0.42 and 0.34, respectively. Also, dosimetric parameters
indicated inadequate dose coverage of PTVPET/CT in CT-based RT plans for most of the patients.
Conclusion: Incorporating PET data into tumor delineation process had a great potential to improve the quality of radiation
treatment planning for NSCLC.
Keywords :
PET/CT , Lung Cancer , Tumor volume delineation , Radiation treatment planning