Utilization of targeted near-infrared molecular imaging to improve pulmonary metastasectomy of osteosarcomas

Jarrod D. Predina; Andrew Newton; Charuhas Deshpande; Philip Low; Sunil Singhal

doi:10.1117/1.JBO.23.1.016005

4 January 2018 Utilization of targeted near-infrared molecular imaging to improve pulmonary metastasectomy of osteosarcomas

Jarrod D. Predina, Andrew Newton, Charuhas Deshpande, Philip Low, Sunil Singhal

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Funded by: US National Institutes of Health (NIH), American Philosophical Society (APS)

Journal of Biomedical Optics, Vol. 23, Issue 1, 016005 (January 2018). https://doi.org/10.1117/1.JBO.23.1.016005

Abstract

Pulmonary metastasectomy for osteosarcoma provides a select group of patients an opportunity for long-term survival and possible cure. Unfortunately, a complete metastasectomy is challenging due an inability to accurately identify lesions that lay below the threshold of preoperative imaging or intraoperative visual and tactile inspection. Growing evidence suggests that osteosarcomas express a number of unique molecular markers, including the folate receptor alpha. In this case report, we describe the application of a folate receptor-targeted, near-infrared optical contrast agent (OTL38) to improve osteosarcoma localization during minimally invasive pulmonary resection. In addition to localizing preoperatively identified lesions, this technology helped identify additional disease that was undetected on preoperative imaging or with traditional intraoperative techniques. This report marks the first successful utilization of a molecular imaging probe useful for osteosarcomas. This technology may provide a unique approach to improve pulmonary metastasectomy of osteosarcomas.

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Jarrod D. Predina, Andrew Newton, Charuhas Deshpande, Philip Low, and Sunil Singhal "Utilization of targeted near-infrared molecular imaging to improve pulmonary metastasectomy of osteosarcomas," Journal of Biomedical Optics 23(1), 016005 (4 January 2018). https://doi.org/10.1117/1.JBO.23.1.016005

Received: 3 October 2017; Accepted: 1 December 2017; Published: 4 January 2018

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