FDG-PET을 이용한 악성과 양성 연부조직 병변의 감별: 반정량적 지표간의 비교

The Differentiation of Benign from Maligant Soft Tissue Lesions using FDG-PET: Comparison between Semi-quantitative Indices

  • Choi, Joon-Young (Departments of Nuclear Medicine, Samsung Medical Center) ;
  • Lee, Kyung-Han (Departments of Nuclear Medicine, Samsung Medical Center) ;
  • Choe, Yearn-Seong (Departments of Nuclear Medicine, Samsung Medical Center) ;
  • Choi, Yong (Departments of Nuclear Medicine, Samsung Medical Center) ;
  • Kim, Sang-Eun (Departments of Nuclear Medicine, Samsung Medical Center) ;
  • Seo, Jai-Gon (Departments of Orthopedic Surgery, Samsung Medical Center) ;
  • Kim, Byung-Tae (Departments of Nuclear Medicine, Samsung Medical Center)
  • 발행 : 1997.03.15

초록

FDG-PET의 반정량적인 당대사지표인 pSUV, aSUV, $TBR_{51}$$TBR_{area}$는 비관혈적으로 악성과 양성 연부조직 병변을 감별하는 데 모두 높은 정확도를 나타내었다. FDG-PET은 연부조직 종양의 평가에서 MRI와 상호보완적인 역할을 할 수 있을 것이다. 또한 FDG-PET은 악성 연부조직 종양환자들의 전이의 발견과 치료 후 추적관찰에도 도움이 될 것으로 생각되며 이에 관한 연구가 계속되어야 할 것이다.

The purpose of this study is to evaluate the diagnostic accuracy of various quantitative indices for the differentiation of benign from malignant primary soft tissue tumors by FDG-PET. A series of 32 patients with a variety of histologically or clinically confirmed benign (20) or malignant (12) soft tissue lesions were evaluated with emission whole body (5min/bed position) PET after injection of [$^{18}F$]FDG. Regional 20min transmission scan for the attenuation correction and calculation of SUV was performed in 16 patients (10 benign, 6malignant) followed by dynamic acquisition for 56min. Postinjection transmission scan for the attenuation correction and calculation of SUV was executed in the other 16 patients (10 benign, 6 malignant). The following indices were obtained. the peak and average SUV (pSUV, aSUV) of lesions, tumor-to-background ratio acquired at images of 51 min p.i. ($TBR_{51}$), tumor-to-background ratio of areas under time-activity curves ($TBR_{area}$) and the ratio between the activities of tumor ROI at 51 min p. i. and at the time which background ROI reaches maximum activity on the time-activity curves ($T_{51}/T_{max}$). The pSUV, aSUV, $TBR_{51}$, and $TBR_{area}$ in malignant lesions were significantly higher than those in benign lesions. We set the cut-off values of pSUV, aSUV, $TBR_{51},\;TBR_{area}$ and $T_{51}/T_{max}$ for the differentiation of benign and malignant lesions at 3.5, 2.8, 5.1, 4.3 and 1.55, respectively. The sensitivity, specificity and accuracy were 91.7%, 80.0%, 84.4% by pSUV and aSUV, 83.3%, 85.0%, 84.4% by $TBR_{51}$, 83.3%, 100%, 93.8% by $TBR_{area}$ and 66.7%, 70.0%, 68.8% by $T_{51}/T_{max}$. The time-activity curves did not give additional information compared to SUV or TBR. The one false negative was a case with low-grade fibrosarcoma and all four false positives were cases with inflammatory change on histology. The visual, analysis of FDG-PET also detected the metastatic lesions in malignant cases with comparable accuracy In conclusion, all pSUV, aSUV, $TBR_{51}$, and $TBR_{area}$ are useful metabolic semi-quantitative indices with good accuracy for the differentiation of benign from malignant soft-tissue lesions.

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