title: Potential role of a hybrid intraoperative probe based on OCT and positron detection for ovarian cancer detection and characterization.
abstract: Ovarian cancer has the lowest survival rate of the gynecologic cancers because it is predominantly diagnosed in the late stages due to the lack of reliable symptoms and efficacious screening techniques. A novel hybrid intraoperative probe has been developed and evaluated for its potential role in detecting and characterizing ovarian tissue. The hybrid intraoperative dual-modality device consists of multiple scintillating fibers and an optical coherence tomography imaging probe for simultaneously mapping the local activities of (18)F-FDG uptake and imaging of local morphological changes of the ovary. Ten patients were recruited to the study and a total of 18 normal, abnormal and malignant ovaries were evaluated ex vivo using this device. Positron count rates of 7.5/8.8-fold higher were found between malignant and abnormal/normal ovaries. OCT imaging of malignant and abnormal ovaries revealed many detailed morphologic features that could be potentially valuable for evaluating local regions with high metabolic activities and detecting early malignant changes in the ovary. These initial results have demonstrated that our novel hybrid imager has great potential for ovarian cancer detection and characterization during minimally invasive endoscopic procedures.
authors.forename: Yi
authors.initials: Y
authors.lastname: Yang
authors.forename: Nrusingh C
authors.initials: NC
authors.lastname: Biswal
authors.forename: Tianheng
authors.initials: T
authors.lastname: Wang
authors.forename: Patrick D
authors.initials: PD
authors.lastname: Kumavor
authors.forename: Mozafareddin
authors.initials: M
authors.lastname: Karimeddini
authors.forename: John
authors.initials: J
authors.lastname: Vento
authors.forename: Melinda
authors.initials: M
authors.lastname: Sanders
authors.forename: Molly
authors.initials: M
authors.lastname: Brewer
authors.forename: Quing
authors.initials: Q
authors.lastname: Zhu