KMID : 1038720130240020099
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Progress in Medical Physics 2013 Volume.24 No. 2 p.99 ~ p.107
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Definition of Tumor Volume Based on 18F-Fludeoxyglucose Positron Emission Tomography in Radiation Therapy for Liver Metastases: An Relational Analysis Study between Image Parameters and Image Segmentation Methods
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Kim Hee-Jin
Park Seung-Woo Jung Hai-Jo Kim Mi-Sook Yoo Hyung-Jun Ji Young-Hoon Yi Chul-Young Kim Kum-Bae
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Abstract
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The surgical resection was occurred mainly in liver metastasis before the development of radiation therapy
techniques. Recently, Radiation therapy is increased gradually due to the development of radiation dose delivery
techniques. 18F-FDG PET image showed better sensitivity and specificity in liver metastasis detection. This image
modality is important in the radiation treatment with planning CT for tumor delineation. In this study, we applied
automatic image segmentation methods on PET image of liver metastasis and examined the impact of image
factors on these methods. We selected the patients who were received the radiation therapy and 18F-FDG
PET/CT in Korea Cancer Center Hospital from 2009 to 2012. Then, three kinds of image segmentation methods
had been applied; The relative threshold method, the Gradient method and the region growing method. Based
on these results, we performed statistical analysis in two directions. 1. comparison of GTV and image
segmentation results. 2. performance of regression analysis for relation between image factor affecting image
segmentation techniques. The mean volume of GTV was 60.9¡¾65.9 cc and the GTV40% was 22.43¡¾35.27 cc,
and the GTV50% was 10.11¡¾17.92 cc, the GTVRG was 32.89¡¾36.84 cc, the GTVGD was 30.34¡¾35.77 cc,
respectively. The most similar segmentation method with the GTV result was the region growing method. For
the quantitative analysis of the image factors which influenced on the region growing method, we used the
standardized coefficient ¥â, factors affecting the region growing method show GTV, TumorSUVMAX/MIN, SUVmax,
TBR in order. The result of the region growing (automatic segmentation) method showed the most similar result
with the CT based GTV and the region growing method was affected by image factors. If we define the tumor
volume by the auto image segmentation method which reflect the PET image parameters, more accurate and
consistent tumor contouring can be done. And we can irradiate the optimized radiation dose to the cancer,
ultimately.
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KEYWORD
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Automatic image segmentation , 18F-FDG PET/CT , Liver metastases , Radiation treatment therapy
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