Literature DB >> 30554501

Degree of optical polarization as a tool for detecting melanoma: proof of principle.

Daniel C Louie1,2, Jamie Phillips2, Lioudmila Tchvialeva2, Sunil Kalia2, Harvey Lui2,3,4, Wei Wang5, Tim K Lee1,2,3.   

Abstract

Determining the optical polarization properties of a skin lesion is a proposed method to differentiate melanoma from other skin lesions. We developed an in vivo Stokes polarimetry probe that fires a laser of known polarization at the skin and measures the Stokes parameters of the backscattered light in one shot. From these measured Stokes parameters, we can calculate the degree of polarization (DOP). Through testing on rough skin phantoms, a correlation between backscattered DOP and skin roughness was identified for both linear and circular input polarization, the latter of which was found to be more useful. In a pilot clinical trial of 69 skin lesions in vivo, it was found that the mean DOP for melanoma (linear input on melanoma: 0.46  ±  0.09) was greater than that of other lesions (linear input on all other lesions: 0.28  ±  0.01). This separation is greater for circular polarized input light, and it is likely that circular polarized light's greater sensitivity to surface roughness contributes to this result. In addition, all skin lesions demonstrated a stronger depolarizing effect on circular polarized light than linear polarized light. We have identified DOP as a potentially useful measurement to identify melanoma among other types of skin lesions. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  Stokes vector; degree of polarization; in vivo; roughness; skin cancer; skin phantoms

Mesh:

Year:  2018        PMID: 30554501     DOI: 10.1117/1.JBO.23.12.125004

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  3 in total

1.  Polarization memory rate as a metric to differentiate benign and malignant tissues.

Authors:  Daniel C Louie; Lioudmila Tchvialeva; Sunil Kalia; Harvey Lui; Tim K Lee
Journal:  Biomed Opt Express       Date:  2022-01-06       Impact factor: 3.732

Review 2.  Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review.

Authors:  Laura Rey-Barroso; Sara Peña-Gutiérrez; Carlos Yáñez; Francisco J Burgos-Fernández; Meritxell Vilaseca; Santiago Royo
Journal:  Sensors (Basel)       Date:  2021-01-02       Impact factor: 3.576

3.  Registration of polarimetric images for in vivo skin diagnostics.

Authors:  Lennart Jütte; Gaurav Sharma; Harshkumar Patel; Bernhard Roth
Journal:  J Biomed Opt       Date:  2022-08       Impact factor: 3.758

  3 in total

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