cmbec37 skin spect may 2014

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1 Multimode imaging applied toward diagnosis of skin cancer (SkinSpect) Fartash Vasefi a , Nicholas MacKinnon a , and Daniel L. Farkas a, b a Spectral Molecular Imaging Inc., 250 N. Robertson Blvd, Beverly Hills b Biomedical Engineering, University of Southern California, Los Angeles Spectral Molecular Imaging Inc. 2014 CMBEC37 Conference Vancouver, BC May 21 – 23, 2014

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Page 1: Cmbec37 skin spect  may 2014

1

Multimode imaging applied toward diagnosis of skin

cancer (SkinSpect)

Fartash Vasefi a, Nicholas MacKinnon a, and Daniel L. Farkas a, b

a Spectral Molecular Imaging Inc., 250 N. Robertson Blvd, Beverly Hillsb Biomedical Engineering, University of Southern California, Los Angeles

Spectral Molecular Imaging Inc.

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Page 2: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Safe Harbor

“Safe Harbor” Statement under the Private Securities Litigation Reform Act of 1995. A number of the matters and subject areas discussed in this presentation that are not historical or current facts deal with potential future circumstances and developments. The discussion of such matters and subject areas is qualified by the inherent risks and uncertainties surrounding future expectations generally and also may materially differ from Spectral Molecular Imaging’s (SMI’s) future experience involving any of or more of such matters and subject areas. Such risks and uncertainties include: the early stage of products in development, the uncertainty of market acceptance of products, the uncertainty of development or effectiveness of distribution channels, the intense competition in the medical device industry, the uncertainty of capital to develop products, the uncertainty of regulatory approval of products, dependence on licensed intellectual property, as well as those that are more fully described from time to time under the heading “Risk Factors” in SMI’s filed with the SEC, including SMI’s Report on Form 10-K for the fiscal year ended December 31, 2010 and subsequent quarterly reports.

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"Financial support from NIH and the USDHHS Qualifying Therapeutic Discovery Program is gratefully acknowledged".

Page 3: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Outline

• Motivation

• Dermoscopes using Biological Models Vs. Statistical classifiers

• To address misestimations in current melanin and hemoglobin quantifications in pigmented skin lesions

• Objective

• To evaluate the performance of a quantitative imaging approach that combines two depth-sensitive imaging techniques, polarization and hyperspectral imaging, to produce a new multimode dermoscopy method that accurately maps melanin and hemoglobin oxygenation distribution in human skin.

• Methods

• Multimode imaging dermoscope and tissue measurements

• Rapid quantification model for preliminary data validation

• Results

• Measurements of human in vivo skin with melanocytic nevus and venous occlusion

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Page 4: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Recent NewsNature: Scientific Reports - May 12, 2014

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Page 5: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

• Spectral Molecular Imaging (SMI), Inc., a subsidiary of Cascade Technologies Corp., is developing high-resolution, hyperspectral imaging for early and accurate diagnosis of cancer and other major diseases

• SkinSpectTM is a hyperspectral imaging system designed to meet the need for accurate diagnosisof skin cancer.

Spectral Molecular Imaging - SkinSpectTM

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Melanoma IncidenceMelanoma MortalityW.H.O. - 2004

USA/Canada94,000/yr13,000/yr

Europe65,000/yr28,000/yr

Melanoma Prevalence and Mortality

(per 100,000)

0

5

10

15

20

25

30

1975 1980 1985 1990 1995 2000 2005 2010

Year

Melanoma Prevalence

Modeled Rate

Melanoma Mortality

Modeled Rate

Page 6: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Biological Models vs. Statistical Classifiers (Black Boxes)

Black Box

• Need big trials to have sufficient data for BlackBox algorithm validation

• Exceptional data qualification/validation through standards and well developed data quality algorithms

Biological Model (Method we have adopted)

• Directly linked to tissue properties with well developed scientific basis

• Biological plausibility that is easily understood by clinicians (and makes sense to regulatory authorities)

•6

Page 7: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Melanin vs. hemoglobin misestimations

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Hb estimation Mel estimation

• Instances of results that are contrary to

physiological expectations:

– Local variation in oxygen saturation under

perfectly normal pigmented nevi1

– Data showing that people of different races have

different regional oxygen saturation2,3

– Collagen fluorescence is different under

pigmented and non-pigmented regions4

– A poor correlation between the SIAscans and

histopathological findings in pigmented skin

lesions5

1. Kapsokalyvas, D., et al. Spectral morphological analysis of skin lesions with a polarization

multispectral dermoscope. , Opt Express, 21, 4826-4840 (2013)

2. Vyas, S., Banerjee, A., & Burlina, P. Estimating physiological skin parameters from hyperspectral

signatures. , J Biomed Opt, 18, 057008 (2013)

3. Yudovsky, D. & Pilon, L. Retrieving skin properties from in vivo spectral reflectance

measurements. ,J Biophotonics, 4, 305–314 (2011)

4. Na, R., Stender, I. M., Henriksen, M., & Wulf, H. C. Autofluorescence of human skin is age-

related after correction for skin pigmentation and redness. , J. Invest Derm, 116, 536-540 (2001)5. Terstappen, K., Suurküla, M., Hallberg, H., Ericson M. B., & Wennberg, A. M., Poor correlation between

spectrophotometric intracutaneous analysis and histopathology in melanoma and nonmelanoma lesions. , J Biomed Opt, 18, 061223 (2013)

Page 8: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Hemoglobin misestimation using ratiometric analysis

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Diebele, I., A. Bekina, A. Derjabo, J. Kapostinsh, I. Kuzmina, and J. Spigulis. "Analysis of skin basalioma and melanoma by multispectral imaging." In Proc.

SPIE, vol. 8427, p. 842732. 2012.

M = 100 (OD650 – OD700), E = 100 (OD560 – OD650),

Melanin masking Hb estimation

Page 9: Cmbec37 skin spect  may 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Spectral

Molecular

Imaging

Hemoglobin misestimation using ratiometric analysis (cont.)

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Kapsokalyvas, D., et al. Spectral morphological analysis of skin lesions with a polarization multispectral dermoscope. , Opt Express, 21, 4826-4840 (2013)

Page 10: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

SkinSpect – clinical vs research prototype

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Page 11: Cmbec37 skin spect  may 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Spectral

Molecular

Imaging

SkinSpect™ overview

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RGB: P-polarized

RGB: X-polarized

Fluorescence:

P and X-polarized

Reflectance datacube : P-polarized

Reflectance datacube : X-polarized

Wavebands ( ~ 33)

Page 12: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

SkinSpect Data output (Overview)

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Page 13: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Visible Light Hand Imaging Characteristics

Page 14: Cmbec37 skin spect  may 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Spectral

Molecular

Imaging

SkinSpect Key SpecificationsSpatial

• Total FOV Dia ~ 11 mm

• Each pixel in the FOV = 27 µm

• Each pixel in the camera: 6.45 µm

• Detection lens system:

×0.5 Magnification

• The minimum spatially resolvable line-

width detected by the P and X cameras

was approximately 110 µm, measured

by imaging a USAF 1951 resolution

test target.

Spectral

• RGB: 50nm FWHM

– OneLight®

• Spectral scanning

– 468nm – 857nm (33 wavelengths)

– FWHM: 22 nm

– Average Wavelength interval: 12.2 nm

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Page 15: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

SkinSpect Data analysis

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• Calibrating datacubes:

• Apol spectral function:

Page 16: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

SkinSpect Data analysis (Cont.)

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• Estimation of relative deep melanin concentration map:

• Estimation of relative oxy- and deoxy-hemoglobin concentration maps using melanin corrected Apol (500 nm -600 nm):

Page 17: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Apol spectra in highly pigmented skin

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RGB ┴

OD ┴Apol

Deep melanin estimation using ApolMelanin estimation using OD ┴

Page 18: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Hemoglobin concentration misestimation

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oHb

tHb

tHb

OSP

Page 19: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Melanin corrected Hemoglobin relative concentrationmaps

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Page 20: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Melanin corrected Hemoglobin relative concentrationmaps

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Mel

A A’

Page 21: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

SkinSpect functional mapping- proof of concept

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Page 22: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Summary

Melanoma detection: “Blackbox” versus “biological model”

– Lack of specificity

– We want to address it by multimode imaging concept

SkinSpect Research prototype system and measurements

– Spatial and spectral specification

Two-layer skin optical model proposed for preliminary data validation

– Effect of crosstalk between melanin and deoxy-hemoglobin

– Our approach: Two-step least square solver in different wavelength range

This dermoscope and its quantitative skin analysis algorithm allows us to characterize highly pigmented lesions more accurately, and is to improve detection of potentially cancerous lesions.

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Page 23: Cmbec37 skin spect  may 2014

Spectral

Molecular

Imaging

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

2014 CMBEC37 ConferenceVancouver, BC

May 21 – 23, 2014

Nature: Scientific Reports - May 12, 2014

Questions?

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