A new simpler image quality index based on body size for FDG-PET/CT

Author:

Sagara Hiroaki123,Inoue Kazumasa3,Yaku Hideki45,Ohsawa Amon2,Mano Chikara2,Morita Takahiro6,Hiyama Takashi6,Muramatsu Yoshihisa2,Inaki Anri1,Fujii Hirofumi1

Affiliation:

1. Division of Functional Imaging, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center,

2. Department of Radiologic Technology, National Cancer Center Hospital East, Kashiwa,

3. Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo,

4. RYUKYU ISG Co., Ltd, Kyoto,

5. Optical Information Engineering, Systems Innovation Engineering, Graduate School of Advanced Technology and Science, Tokushima University 2-1 Minamijyousanjima-cho, Tokushima and

6. Department of Diagnostic Radiology, National Cancer Center Hospital East, Kashiwa, Japan

Abstract

Noise equivalent count density (NECdensity) is often used to evaluate the image quality of whole-body fluorodeoxyglucose tomography tests. However, this index is calculated using the patient volume, which is difficult to obtain at every facility. In this study, we proposed new image quality indices that can be evaluated at all facilities. In total, 94 patients were enrolled in the study. The correlations of patients’ body weight and BMI with volume were examined. New image quality indices normalized by body weight and BMI were defined as NECbw and NECbmi, respectively. Correlations between NECbw, NECbmi, and NECdensity were examined. Further, the correlations between these two new indices and visual scores were evaluated. Good correlations were observed between volume and body weight (r = 0.861, P < 0.001) and between volume and BMI (r = 0.728, P < 0.001). NECbw and NECbmi correlated well with NECdensity (r = 0.954 for NECbw and r = 0.897 for NECbmi, P < 0.001). These correlations improved when the examined bed positions were set to the same number. Additionally, the correlations of visual scores with NECbw and NECbmi were similar to those between the visual score and NECdensity. Our investigation indicated that the newly proposed image quality metrics, NECbw and NECbmi, were easily calculated and as useful as NECdensity for evaluating image quality when subjects had similar physiques.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

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