Detection of invasive pulmonary aspergillosis in mice using lung perfusion single-photon emission computed tomography with [99mTc]MAA
Detection of invasive pulmonary aspergillosis in mice using lung perfusion single-photon emission computed tomography with [99mTc]MAA
复制标题
使用 [99mTc]MAA 肺灌注单光子发射计算机断层扫描检测小鼠侵袭性肺曲霉病
DOI:
10.1093/mmy/myz131
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发表时间:
2020
期刊:
影响因子:
2.9
通讯作者:
Izumikawa Koichi
中科院分区:
文献类型:
--
作者:
Yoshida Masataka;Tashiro Masato;Nishi Kodai;Mishima Maki;Kawano Kei;Takazono Takahiro;Saijo Tomomi;Yamamoto Kazuko;Imamura Yoshifumi;Miyazaki Taiga;Kudo Takashi;Yanagihara Katsunori;Mukae Hiroshi;Izumikawa Koichi
There is an urgent need for development of better diagnostic strategies to improve outcomes in patients with invasive pulmonary aspergillosis (IPA). We hypothesized that lung perfusion single-photon emission computed tomography (SPECT) may be more sensitive and specific than computed tomography (CT) of the chest for detection of IPA because it is an angioinvasive pulmonary infection with characteristics that are different from those of bacterial pneumonia. We used SPECT with injection of technetium-99m-labeled macroaggregated albumin ([99mTc]MAA) to measure pulmonary perfusion in noninfected mice, mice with IPA, and mice with bacterial pneumonia. Histopathologic analysis was performed to evaluate the correlation between the perfusion defect and mould invasion. We also attempted to quantitatively evaluate the SPECT images to identify differences in decreased perfusion levels in affected areas in the mouse lung. Histopathologic analysis in the IPA mouse model showed a clear match between areas with a perfusion defect and the presence of mold, indicating that the location of the perfusion defect on a SPECT image reflects angioinvasion of the mould in the lungs. Some of these perfusion defects could be seen before appearance of the infiltrate of CT images. Quantitative analysis confirmed that perfusion in the affected areas was significantly decreased in the IPA model but not in the bacterial pneumonia model (P< .0001). This imaging method may be preferable to the alternative methods presently used to identify the presence of mold in a patient's lungs.