이중시간 PET/CT 검사에서 갑상선암 감별을 위한 최대표준섭취계수의 경계값 분석
Cut-off Value Analysis of Maximum Standard Uptake Value for Thyroid Cancer Discrimination in Dual Time Point PET/CT
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In this study, a statistical prediction model was proposed by adopting the hypothesis of converting the distribution of SUVm of 80 people with normal thyroid, thyroiditis, and thyroid cancer to a probability density function. The mathematical prediction model corresponding to each patient group was set at the 95% confidence interval considering the statistical significance level, and the clinical guidelines for the normal thyroid, thyroiditis, and thyroid cancer patient groups were presented. The SUVm distribution of the normal thyroid shows the narrowest variance (1.48~1.92) around the median SUVm 1.7. Under SUVm 1.48, a normal thyroid can be confirmed. The SUVm distribution of thyroid inflammation is a section (2.16~3.52) centered on the median 2.84, so there is a section overlapped with the area of thyroid cancer, so a delay scan is required. The SUVm distribution of thyroid cancer shows the widest variance from (1.82 to 4.34) in the 95% confidence interval around the median 3.28. Below SUVm 1.82, the probability of being diagnosed with thyroid cancer is less than 5%, and if it exceeds SUVm 3.52, it can be confirmed as thyroid cancer. In the SUVm mixed section, which is difficult to distinguish between false positives and positives, an optimal cut-off value of SUVm 1.82 was suggested to visually discriminate between normal and thyroid cancer patients. Statistically significant when the delay test was determined based on the proposed cut-off value of 1.82 (p<0.05). Therefore, the cutoff values proposed in the dual time point PET/CT exam can help to obtain accurate imaging information about thyroid cancer.
Abstract
In this study, a statistical prediction model was proposed by adopting the hypothesis of converting the distribution of SUVm of 80 people with normal thyroid, thyroiditis, and thyroid cancer to a probability density function. The mathematical prediction model corresponding to each patient group was set at the 95% confidence interval considering the statistical significance level, and the clinical guidelines for the normal thyroid, thyroiditis, and thyroid cancer patient groups were presented. The SUVm distribution of the normal thyroid shows the narrowest variance (1.48~1.92) around the median SUVm 1.7. Under SUVm 1.48, a normal thyroid can be confirmed. The SUVm distribution of thyroid inflammation is a section (2.16~3.52) centered on the median 2.84, so there is a section overlapped with the area of thyroid cancer, so a delay scan is required. The SUVm distribution of thyroid cancer shows the widest variance from (1.82 to 4.34) in the 95% confidence interval around the median 3.28. Below SUVm 1.82, the probability of being diagnosed with thyroid cancer is less than 5%, and if it exceeds SUVm 3.52, it can be confirmed as thyroid cancer. In the SUVm mixed section, which is difficult to distinguish between false positives and positives, an optimal cut-off value of SUVm 1.82 was suggested to visually discriminate between normal and thyroid cancer patients. Statistically significant when the delay test was determined based on the proposed cut-off value of 1.82 (p<0.05). Therefore, the cutoff values proposed in the dual time point PET/CT exam can help to obtain accurate imaging information about thyroid cancer.
참고문헌 (14)
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