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Targeted contrast enhanced ultrasound for in vivo quantitative evaluation on angiogenesis in transplanted ovarian of rats / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1147-1152, 2020.
Article in Chinese | WPRIM | ID: wpr-860929
ABSTRACT

Objective:

To observe the value of targeted contrast enhanced ultrasound (CEUS) using anti-Mullerian canal hormone (AMH) targeted nanobubbles (AMH-NB) for in vivo quantitative evaluation on ovarian neovascular density after ovarian auto-transplantation in SD rats.

Methods:

The nanobubbles carrying anti-AMH antibody were prepared, and their basic physical properties were examined. Then ovarian auto-transplantation rat models were established. The targeted (AMH-NB), non-targeted (N-NB) contrast agents and SonoVue were administered on the 7th day after transplantation to obtain peak intensity (PI) and time to peak (TTP). The microvascular density (MVD) was measured using immunohistochemistry, and the correlation of PI, TTP and MVD were analyzed.

Results:

The particle size of AMH-NB uniformly distributed, ranged (622.67±33.65)nm, and the concentration of AMH-NB was (2.90±0.26)×108/ml. PI of ovarian angiography with AMH-NB was (7.93±0.65)dB and TTP was (42.53±1.74)s, with N-NB was (6.14±0.44)dB and (54.35±1.73)s, with Sonovue was (4.15±0.83)dB and (28.71±1.18)s, respectively (all P<0.05).Immunohistochemical analysis showed that the microvascular density was (61.20±6.84)/HP, histological analysis indicated that AMH-NB were able to penetrate blood vessels to the interstitial space and combine with AMH. PI, TTP of AMH-NB were highly both correlated with MVD (r=0.84, r=-0.84, both P<0.05).

Conclusion:

AMH-NB can be used to qualitatively and quantitatively evaluate the angiogenesis in transplanted ovarian of rats in vivo with CEUS.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2020 Type: Article