Molecular Imaging of Ovarian Follicles and Tumors With Near‐Infrared II Bioconjugates

Follicular tracking is typically conducted using ultrasound technology, but its effectiveness is constrained by limited resolution. High-resolution imaging of deep tissues can be accomplished using luminescence imaging in the near-infrared II window (NIR-II, 1000-1700 nm); however, the contrast agents that are used lack specificity. Here, it is reported that the FDA-approved indocyanine green (ICG)-conjugated recombinant human chorionic gonadotropin (hCG) protein can target early follicles with long-term effectiveness. A novel high-resolution NIR-II imaging approach is developed for monitoring follicular development as well as ovulation using multi-color imaging of ovarian vessels with a combination of non-overlapping downconversion nanoparticles (DCNPs). The results showed that the ability to monitor early follicles of around 50 µm in diameter exceeded the spatial and temporal resolution of ultrasound or MRI without the reproductive damage associated with computed tomography radiation, and this enabled the clinical identification of the follicular reserve in patients with infertility diseases such as polycystic ovary syndrome (PCOS). In addition, NIR-II imaging clearly targeted ovarian tumors and showed micro-metastatic lesions, thus providing a new tool for monitoring tumors in vivo and guiding surgical resection.

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Publication Details

Journal
Advanced Materials
Published
2024-12-18
DOI
https://doi.org/10.1002/adma.202414129
Citations
8
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
Field-Weighted Citation Impact
1.48

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article

Molecular Imaging of Ovarian Follicles and Tumors With Near‐Infrared II Bioconjugates

Wenhao Gao, Yi Feng, Zi‐Han Chen, Mingzhen Xu et al.
8 citations
Advanced Materials
Ultrasound and Hyperthermia Applications
1.48
article

Molecular Imaging of Ovarian Follicles and Tumors With Near‐Infrared II Bioconjugates

Wenhao Gao, Yi Feng, Zi‐Han Chen, Mingzhen Xu, Kuinyu Lee, Wenhan Lu, Xiaoyu Tong, Hao Chen, Zhiming Wang, Fan Zhang, Yan Xiao, Wei Hu, Ruihu Song, Zhao Fang, Zhenle Pei, Yu Wang, Yicong Wang
article en
8 citations

Abstract

Follicular tracking is typically conducted using ultrasound technology, but its effectiveness is constrained by limited resolution. High-resolution imaging of deep tissues can be accomplished using luminescence imaging in the near-infrared II window (NIR-II, 1000-1700 nm); however, the contrast agents that are used lack specificity. Here, it is reported that the FDA-approved indocyanine green (ICG)-conjugated recombinant human chorionic gonadotropin (hCG) protein can target early follicles with long-term effectiveness. A novel high-resolution NIR-II imaging approach is developed for monitoring follicular development as well as ovulation using multi-color imaging of ovarian vessels with a combination of non-overlapping downconversion nanoparticles (DCNPs). The results showed that the ability to monitor early follicles of around 50 µm in diameter exceeded the spatial and temporal resolution of ultrasound or MRI without the reproductive damage associated with computed tomography radiation, and this enabled the clinical identification of the follicular reserve in patients with infertility diseases such as polycystic ovary syndrome (PCOS). In addition, NIR-II imaging clearly targeted ovarian tumors and showed micro-metastatic lesions, thus providing a new tool for monitoring tumors in vivo and guiding surgical resection.

Advanced MaterialsVol. 37(7)
Shanghai Medical College of Fudan University (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Eye & ENT Hospital of Fudan University (CN), Shanghai Institute of Materia Medica (CN), Obstetrics and Gynecology Hospital of Fudan University (CN), China Association of Acupuncture-Moxibustion (CN), State Key Laboratory of Medical Neurobiology
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 19%
Ultrasound and Hyperthermia Applications
1.48
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