Frédéric Leblond

Toward noncontact macroscopic imaging of multiple cancers using multi‐spectral inelastic scattering detection

Abstract Here we introduce a Raman spectroscopy approach combining multi‐spectral imaging and a new fluorescence background subtraction technique to image individual Raman peaks in less than 5 seconds over a square field‐of‐view of 1‐centimeter sides with 350 micrometers resolution. First, human data is presented supporting the feasibility of achieving cancer detection with high sensitivity and specificity – in brain, breast, lung, and ovarian/endometrium tissue – using no more than three biochemically interpretable biomarkers associated with the inelastic scattering signal from specific Raman peaks. Second, a proof‐of‐principle study in biological tissue is presented demonstrating the feasibility of detecting a single Raman band – here the CH 2 /CH 3 deformation bands from proteins and lipids – using a conventional multi‐spectral imaging system in combination with the new background removal method. This study paves the way for the development of a new Raman imaging technique that is rapid, label‐free, and wide field.

Multispectral label‐free Raman spectroscopy can detect ovarian and endometrial cancer with high accuracy

AbstractUp to 70% of ovarian cancer patients are diagnosed with advanced‐stage disease and the degree of cytoreduction is an important survival prognostic factor. The aim of this study was to evaluate if Raman spectroscopy could detect cancer from different organs within the abdominopelvic region, including the ovaries. A Raman spectroscopy probe was used to interrogate specimens from a cohort of nine patients undergoing cytoreductive surgery, including four ovarian cancer patients and three patients with endometrial cancer. A feature‐selection algorithm was developed to determine which spectral bands contributed to cancer detection and a machine‐learning model was trained. The model could detect cancer using only eight spectral bands. The receiver‐operating‐characteristic curve had an area‐under‐the‐curve of 0.96, corresponding to an accuracy, a sensitivity and a specificity of 90%, 93% and 88%, respectively. These results provide evidence multispectral Raman spectroscopy could be developed to detect ovarian cancer intraoperatively.