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DOI 10.1097/mnm.0000000000001680

Медицинская библиотека · Nuclear medicine communications · 2023

Volume-based 18 F-FDG PET analysis of cardiac sarcoidosis using the descending aorta as a reference tissue.

Tsujimoto Masakazu, Fukushima Ayami, Kawai Hideki, Watanabe Masanori, Tanahashi Shingo, Sarai Masayoshi, Toyama Hiroshi

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Аннотация

OBJECTIVE

18 F-FDG PET can be used to calculate the threshold value of myocardial volume based on the mean standardised uptake value (SUV mean ) of the aorta to detect highly integrated regions of cardiac sarcoidosis. The present study investigated the myocardial volume when the position and number of volumes of interest (VOIs) were changed in the aorta.

METHODS

The present study examined PET/computed tomography images of 47 consecutive cardiac sarcoidosis cases. VOIs were set at three locations in the myocardium and aorta (descending thoracic aorta, superior hepatic margin and near the pre-branch of the common iliac artery). The volume was calculated for each threshold using 1.1-1.5 times the SUV mean (median of three cross-sections) of the aorta as the threshold to detect high myocardial 18 F-FDG accumulation. The detected volume, correlation coefficient with the visually manually measured volume and the relative error were also calculated.

RESULTS

The optimum threshold value for detecting high 18 F-FDG accumulation was 1.4 times that of the single cross-section of the aorta and showed the smallest relative errors of 33.84% and 25.14% and correlation coefficients of 0.974 and 0.987 for single and three cross-sections, respectively.

CONCLUSION

The SUV mean of the descending aorta may be detected in good agreement with the visual high accumulation by multiplying the same threshold constant for both single and multiple cross-sections.

Для цитирования: Tsujimoto Masakazu, Fukushima Ayami, Kawai Hideki, Watanabe Masanori, Tanahashi Shingo, Sarai Masayoshi, Toyama Hiroshi. Volume-based 18 F-FDG PET analysis of cardiac sarcoidosis using the descending aorta as a reference tissue.. Nuclear medicine communications. 2023. DOI: 10.1097/mnm.0000000000001680.

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