Cancer Detection Literature References - IPS Lasers

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IPS Literature References

Raman Spectroscopy - Cancer Detection

H. Wang, et al., “In vivo confocal Raman spectroscopy for skin disease diagnosis and characterization: preliminary results from mouse tumor models”, Proc. SPIE 7161, Photonic Therapeutics and Diagnostics V, 716108 (2009).

C.A. Patil, et al., “A clinical probe for combined Raman spectroscopy-optical coherence tomography (RS-OCT) of the skin cancers”, Proc. SPIE 7548, Photonic Therapeutics and Diagnostics VI, 75480L (2010).

X. Bi, et al., “Characterization of bone quality in prostate cancer bone metastases using Raman spectroscopy”, Proc. SPIE 7548, Photonic Therapeutics and Diagnostics VI, 75484L (2010).

M.M. Kerssens, et al. “Towards a safe non-invasive method for evaluating the carbonate substitution levels of hydroxyapatite (HAP) in micro-calcifications found in breast tissue.” Analyst 135, 3156 (2010).

M.D. Keller, et al., “Development of a spatially offset Raman spectroscopy probe for breast tumor surgical margin evaluation,” Journal of Biomedical Optics 16(7), 077006 (2011).

H. Wang, et al., “Depth-resolved in vivo micro-Raman spectroscopy of a murine skin tumor model reveals cancer-specific spectral biomarkers,” Jl. of Raman Spectroscopy, 42, 160 (2011).

C.A. Patil, et al., “A clinical instrument for combined Raman spectroscopy-optical coherence tomography of skin cancers,” Lasers in Surgery and Medicine, 43, 143 (2011).

E. Vargis et al. “Using Raman spectroscopy to detect malignant changes in tissues.” Princeton instruments, Application note (2011): 1-5.

N. de Matos Granja, et al. “Looking Below the Surface of Breast Tissue During Surgery.” (2011).

K.A. Esmonde-White, et al., “Raman spectroscopy of bone metastasis”, Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82076P (2012).

M.C. Potcoava, et al., “Raman and coherent anti-Stokes Raman scattering microscopy studies of changes in lipid content and composition in hormone-treated breast and prostate cancer cells,” Journal of Biomedical Optics 19(11), 111605 (2014).

M.C. Potcoava, et al., “Micro-Raman spectroscopy studies of changes in lipid composition in breast and prostate cancer cells treated with MPA and R1881 hormones”, Proc. SPIE 8939, Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry, 89390I (2014).

J.J. Wood, et al. “Evaluation of a confocal Raman probe for pathological diagnosis during colonoscopy.” Colorectal Disease 16, 732 (2014).

M. Jermyn, et al. “Brain Tumor Resection Guided with Single-Point Raman Spectroscopy: In-Human Results.” Biomedical Optics. Optical Society of America (2014).

M. Jermyn, et al., “Intraoperative detection of glioma invasion beyond MRI enhancement with Raman spectroscopy in humans”, Proc. SPIE 9318, Optical Biopsy XIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 93180D (2015).

M. Jermyn, et al., “Intraoperative brain cancer detection with Raman spectroscopy in humans,” Science Translational Medicine, 7(274), 274ra19 (2015).

J.Q. Nguyen, et al. “Intraoperative Raman spectroscopy of soft tissue sarcomas.” Lasers in surgery and medicine 48.8, 774 (2016).

M. Jermyn, et al., “Neural networks improve brain cancer detection with Raman spectroscopy in the presence of operating room light artifacts,” Journal of Biomedical Optics, 21(9), 094002 (2016).

M. Jermyn, et al., “Neural networks improve brain cancer detection with Raman spectroscopy in the presence of light artifacts”, Proc. SPIE 9690, Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation, 96900B (2016).

M. Jermyn, et al., “Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans,” Biomed. Opt. Express 7, 5129-5137 (2016).

H. Moradi, et al., “Raman micro-spectroscopy applied to treatment resistant and sensitive human ovarian cancer cells,” J. Biophotonics, 10, 1327 (2017).

B. Kahramangil and E. Berber, “The use of near-infrared fluorescence imaging in endocrine surgical procedures,” Jl. Surgical Oncology, 115, 848 (2017).

S. Kim, et al., “Dual-modal cancer detection based on optical pH sensing and Raman spectroscopy,” Journal of Biomedical Optics 22(10), 105002 (2017).

B. Gardner, et al., “Noninvasive Determination of Depth in Transmission Raman Spectroscopy in Turbid Media Based on Sample Differential Transmittance,” Anal. Chem., 89, 9730 (2017).

F. Sinjab, et al. “Label-free Raman hyperspectral imaging of single cells cultured on polymer substrates.” Applied spectroscopy 71.12, 2595 (2017).

G. Thomas, et al. “Evaluating feasibility of an automated 3-dimensional scanner using Raman spectroscopy for intraoperative breast margin assessment.” Scientific reports7.1 1 (2017).

K. Aubertin, et al., “Mesoscopic characterization of prostate cancer using Raman spectroscopy: potential for diagnostics and therapeutics,” BJU International, 122, 326 (2018).

A. Ghita, P. Matousek, and N. Stone, “Characterization of a novel transmission Raman spectroscopy platform for non-invasive detection of breast micro-calcifications”, Proc. SPIE 10490, Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry, 104900G (2018).

F.-H. Kao, et al. “In vivo and in vitro demonstration of gold nanorod aided photothermal presoftening of B16F10 melanoma for efficient chemotherapy using doxorubicin loaded graphene oxide.” ACS Applied Bio Materials 2.1, 533 (2018).

A. Solís-Gómez, et al., “Characterizing the properties of anticancer silibinin and silybin B complexes with UV–Vis, FT-IR, and Raman spectroscopies: A combined experimental and theoretical study,” Journal of Molecular Structure, 1182, 109 (2019).

F. Nicolson, et al. “Non-invasive in vivo imaging of cancer using surface-enhanced spatially offset Raman spectroscopy (SESORS).” Theranostics 9, 5899 (2019).

F. Daoust, et al., “Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization,” Journal of Biomedical Optics 26(2), 022911 (2021).

T.J.E. Hubbard, et al., “Utilization of Raman spectroscopy to identify breast cancer from the water content in surgical samples containing blue dye,” Translational Biophotonics, 3, 20200023 (2021).

S. Kim, et al., “Label-free breast cancer detection using fiber probe-based Raman spectrochemical biomarker-dominated profiles extracted from a mixture analysis algorithm,” Anal. Methods, 13, 3249 (2021).

D.S., Plante, et al., “Multispectral label-free Raman spectroscopy can detect ovarian and endometrial cancer with high accuracy,” J. Biophotonics, 14, e202100198 (2021).

F. Daoust, et al., “Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization,” J. of Biomedical Optics, 26(2), 022911 (2021).

S. Kim, et al. “Label-free breast cancer detection using fiber probe-based Raman spectrochemical biomarker-dominated profiles extracted from a mixture analysis algorithm.” Analytical Methods 13, 3249-3255 (2021).

P. Dey, et al., “Surface enhanced deep Raman detection of cancer tumour through 71 mm of heterogeneous tissue,” Nanotheranostics, 6(3), 337 (2022).

S. David, et al., “Multispectral label-free Raman spectroscopy can detect ovarian and endometrial cancer with high accuracy, “ J. Biophotonics, 15(2), e2021001 (2022).

M. C. Potcoava, et al. “Raman Microscopy Techniques to Study Lipid Droplet Composition in Cancer Cells.” Cancer Biomarkers. Humana, New York, NY, 193-209 (2022).

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