20 July 2017 Morphologic three-dimensional scanning of fallopian tubes to assist ovarian cancer diagnosis
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Abstract
The majority of high-grade serous ovarian cancers is now believed to originate in the fallopian tubes. Therefore, current practices include the pathological examination of excised fallopian tubes. Detection of tumors in the fallopian tubes using current clinical approaches remains difficult but is of critical importance to achieve accurate staging and diagnosis. Here, we present an intraoperative imaging system for the detection of human fallopian tube lesions. The system is based on optical coherence tomography (OCT) to access subepithelial tissue architecture. To demonstrate that OCT could identify lesions, we analyzed 180 OCT volumes taken from five different ovarian lesions and from healthy fallopian tubes, and compared them to standard pathological review. We demonstrated that qualitative features could be matched to pathological conditions. We then determined the feasibility of intraluminal imaging of intact human fallopian tubes by building a dedicated endoscopic single-fiber OCT probe to access the mucosal layer inside freshly excised specimens from five patients undergoing prophylactic surgeries. The probe insertion into the lumen acquired images over the entire length of the tubes without damaging the mucosa, providing the first OCT images of intact human fallopian tubes.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Wendy-Julie Madore, Wendy-Julie Madore, Etienne De Montigny, Etienne De Montigny, Andréanne Deschênes, Andréanne Deschênes, Fouzi Benboujja, Fouzi Benboujja, Mikaël Leduc, Mikaël Leduc, Anne-Marie Mes-Masson, Anne-Marie Mes-Masson, Diane M. Provencher, Diane M. Provencher, Kurosh Rahimi, Kurosh Rahimi, Caroline Boudoux, Caroline Boudoux, Nicolas Godbout, Nicolas Godbout, "Morphologic three-dimensional scanning of fallopian tubes to assist ovarian cancer diagnosis," Journal of Biomedical Optics 22(7), 076012 (20 July 2017). https://doi.org/10.1117/1.JBO.22.7.076012 . Submission: Received: 24 March 2017; Accepted: 29 June 2017
Received: 24 March 2017; Accepted: 29 June 2017; Published: 20 July 2017
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