In vivo time-serial multi-modality optical imaging in a mouse model of ovarian tumorigenesis

Watson, Jennifer; Marion, Samuel L.; Rice, Photini F. S.; Bentley, David L.; Besselsen, David G.; Utzinger, Urs; Hoyer, Patricia B.; Barton, Jennifer K.

doi:10.4161/cbt.26605

Cited by 19 publications

(25 citation statements)

References 32 publications

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“…In most studies that utilised label-free NLOI to differentiate cancer from healthy samples, the event of neoplastic transformation had already occurred. Only few studies [73,130] have tried to temporally monitor pre-neoplastic tissue changes right from the start of cancer induction. The ability of NLOI to detect changes in this stage would make it a very useful screening tool, as a timely intervention in the pre-neoplastic stage can reverse the carcinogen induced changes.…”

Section: Future Of Label-free Nloi Based Cancer Researchmentioning

confidence: 99%

“…In vivo studies have been used to investigate cancer related changes in oral cavity of hamster [103,104], skin [12], breast [109] and ovaries in rodents [130]. As mentioned before, the hamster model has been demonstrably useful to study the difference in cellular metabolism between normal, precancerous and cancerous oral cavity lesions.…”

Section: Translating Label-free Nloi Research To the Clinicmentioning

confidence: 99%

See 1 more Smart Citation

Advances and challenges in label-free nonlinear optical imaging using two-photon excitation fluorescence and second harmonic generation for cancer research

Thomas

Voskuilen

Gerritsen

et al. 2014

Journal of Photochemistry and Photobiology B: Biology

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Section: Future Of Label-free Nloi Based Cancer Researchmentioning

confidence: 99%

Section: Translating Label-free Nloi Research To the Clinicmentioning

confidence: 99%

Advances and challenges in label-free nonlinear optical imaging using two-photon excitation fluorescence and second harmonic generation for cancer research

Thomas

Voskuilen

Gerritsen

et al. 2014

Journal of Photochemistry and Photobiology B: Biology

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“…OCT has been used to image microstructural features of ovarian tissue both ex vivo and in vivo . The feasibility of high‐resolution OCT for differentiating normal and abnormal or malignant ovarian tissue has been demonstrated.…”

Section: Intensity‐based Oct For Ovarian Tissue Imagingmentioning

confidence: 99%

“…On the basis of the above‐mentioned studies, OCT is able to visualize microstructural ovarian features, including stroma, epithelium, collagen, blood vessel, follicle, cyst, corpus luteum, corpus albicans, lymphocyte, calcification, papillary structure, and necrotic tumor. OCT images can readily provide information on normal and abnormal or malignant ovarian tissues.…”

Section: Intensity‐based Oct For Ovarian Tissue Imagingmentioning

confidence: 99%

An overview of optical coherence tomography for ovarian tissue imaging and characterization

Wang

Brewer

Zhu

2014

WIREs Nanomed Nanobiotechnol

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Ovarian cancer has the lowest survival rate among all the gynecologic cancers because it is predominantly diagnosed at late stages due to the lack of reliable symptoms and efficacious screening techniques. Optical coherence tomography (OCT) is an emerging technique that provides high-resolution images of biological tissue in real time, and demonstrates great potential for imaging of ovarian tissue. In this paper, we review OCT studies for visualization and diagnosis of human ovaries as well as quantitative extraction of ovarian tissue optical properties for classifying normal and malignant ovaries. OCT combined with other imaging modalities to further improve ovarian tissue diagnosis is also reviewed.

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“…12,13 We have identified structural features characteristic of ovarian cancer using OCT in mice, 14 rats, 15 and humans. 16 In healthy tissue, follicles of various stages of development and corpora lutea are clearly visible.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic potential of multimodal imaging of ovarian tissue using optical coherence tomography and second-harmonic generation microscopy

et al. 2014

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Ovarian cancer is particularly deadly because it is usually diagnosed after it has metastasized. We have previously identified features of ovarian cancer using optical coherence tomography (OCT) and second-harmonic generation (SHG) microscopy (targeting collagen). OCT provides an image of the ovarian microstructure while SHG provides a high-resolution map of collagen fiber bundle arrangement. Here we investigated the diagnostic potential of dual-modality OCT and SHG imaging. We conducted a fully crossed, multi-reader, multi-case study using seven human observers. Each observer classified 44 ex vivo mouse ovaries (16 normal and 28 abnormal) as normal or abnormal from OCT, SHG, and simultaneously viewed, co-registered OCT and SHG images and provided a confidence rating on a six-point scale. We determined the average receiver operating characteristic (ROC) curves, area under the ROC curves (AUC), and other quantitative figures of merit. The results show that OCT has diagnostic potential with an average AUC of 0.91 ± 0.06. The average AUC for SHG was less promising at 0.71 ± 0.13. The average AUC for simultaneous OCT and SHG was not significantly different from OCT alone, possibly due to the limited SHG field of view. The high performance of OCT and co-registered OCT and SHG warrants further investigation.

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In vivo time-serial multi-modality optical imaging in a mouse model of ovarian tumorigenesis

Cited by 19 publications

References 32 publications

Advances and challenges in label-free nonlinear optical imaging using two-photon excitation fluorescence and second harmonic generation for cancer research

Advances and challenges in label-free nonlinear optical imaging using two-photon excitation fluorescence and second harmonic generation for cancer research

An overview of optical coherence tomography for ovarian tissue imaging and characterization

Diagnostic potential of multimodal imaging of ovarian tissue using optical coherence tomography and second-harmonic generation microscopy

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