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U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH, ARMY, NSF Pre-chemotherapy Post-chemotherapy Recent comprehensive review: Durduran, T., Choe, R., Baker, W.B, and Yodh, A.G., Diffuse optics for tissue monitoring and tomography. Reports on Progress in Physics, 73, 076701 (2010).

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Page 1: Diffuse Optics for Breast Cancer Imaging & Monitoring · U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH,

U n i v e r s i t y o f P e n n s y l v a n i a

Diffuse Optics for Breast Cancer Imaging & Monitoring

Acknowledgement: NIH, ARMY, NSF

Pre-chemotherapy

Post-chemotherapy

Recent comprehensive review: Durduran, T., Choe, R., Baker, W.B, and Yodh, A.G., Diffuse optics for tissue monitoring and tomography. Reports on Progress in Physics, 73, 076701 (2010).

Page 2: Diffuse Optics for Breast Cancer Imaging & Monitoring · U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH,

U n i v e r s i t y o f P e n n s y l v a n i a

PhD Students & Post-docs

Collaborators

Simon Arridge, University College London, UKLarry Campbell, Hobart & Williams CollegeMark Burnett, University of PennsylvaniaTheresa Busch, University of PennsylvaniaBritton Chance, University of PennsylvaniaBrian Czerniecki, University of PennsylvaniaAngela DeMichele, University of PennsylvaniaJohn Detre, University of PennsylvaniaMike Feldman, University of PennsylvaniaJared Finlay, University of Pennsylvania (HUP)Tom Floyd, University of PennsylvaniaDoug Fraker, University of Pennsylvania Joe Friedberg, University of PennsylvaniaEli Glatstein, University of PennsylvaniaJoel Greenberg, University of PennsylvaniaSteve Hahn, University of Pennsylvania

Chandrakala (Kala) Menon, University of PennsylvaniaEmile Mohler III, University of PennsylvaniaShoko Nioka, Johnson Foundation, Penn/HUPDeva Pattanayak, Vishay Intertechnology Inc.Mary Putt, University of PennsylvaniaHarry Quon, University of PennsylvaniaNimi Ramanujam, Duke UniversityRobert (Bob) Rogers, University of DelawareMark Rosen, University of Pennsylvania Mitch Schnall, University of Pennsylvania Martin Schwieger, University College London, UKChandra (Sandy) Sehgal, University of Pennsylvania Bruce Tromberg, University of California at IrvineQing Zhu, University of Connecticut Tim Zhu, University of Pennsylvania

Senior Collaborators

Corlu, Alper Culver, JosephDanen, RobertDurduran, Turgut Fisher, Jonathan A. N.Giammarco, JoeGonatas, Dinos Holboke, MonicaIntes, XavierKim, Meeri

Slemp, AlisonSolonenko, MichaelSunar, Ulas Vora, Patrick Vulcan, Teodor Wang, Hsing-Wen Xing, Xiaoman Yu, Guoqiang Zhou, ChaoZubkov, Leonid

Baker, WesleyBan, Han YongBoas, DavidBuckley, Erin* Busch, DavidCheung, CecilCheung,Rex*Choe, RegineChung, Sophie

*Konecky, SorenLee, KijoonLi, XingdeLiu, HanliMeglinsky, IgorMesquita, RicksonNtziachristos, VasilisO'Leary, MaureenPathak, SauravRipoll, Jorge

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U n i v e r s i t y o f P e n n s y l v a n i a

The Dream.

from: Minority Report

from: Star Trek

Page 4: Diffuse Optics for Breast Cancer Imaging & Monitoring · U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH,

U n i v e r s i t y o f P e n n s y l v a n i a

In-Vivo Optical Biopsy• Near Infrared Light

Penetrates Tissue• Sensitivity to Tissue

Physiology• Unique Contrasts are

Complementary to Other Medical Diagnostics

• Non-invasive, safe, rapid, portable, continuous, inexpensive ...

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U n i v e r s i t y o f P e n n s y l v a n i a

Imaging & MonitoringTomography Approach Hand-held Approach

Page 6: Diffuse Optics for Breast Cancer Imaging & Monitoring · U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH,

U n i v e r s i t y o f P e n n s y l v a n i a

Outline

• The basic measurement techniques(DOS, DCS, DOT, FDOT)

• Breast Cancer Imaging • Breast Monitoring (Cancer Therapy)

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U n i v e r s i t y o f P e n n s y l v a n i a

Problem of Tissue: Multiple Scattering

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U n i v e r s i t y o f P e n n s y l v a n i a

Individual Photons Undergo A Random Walk (with loss)

Page 9: Diffuse Optics for Breast Cancer Imaging & Monitoring · U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH,

U n i v e r s i t y o f P e n n s y l v a n i a

Diffusive Waves: Ideal samples, solutions

• Infinite homogeneous turbid media

• Point sources

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U n i v e r s i t y o f P e n n s y l v a n i a

Frequency Domain: Diffuse Photon Density Waves*

*first suggested by Enrico Gratton

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U n i v e r s i t y o f P e n n s y l v a n i a

Diffusive Wave Optics

Boas, Oleary, Chance, Yodh. Physical Review E, 47(5) 1993.Oleary, Boas, Chance, Yodh. Physical Review Letters, 69 1992.

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U n i v e r s i t y o f P e n n s y l v a n i a

Solutions: Semi-infinite Medium

Danen, R.M., Wang, Y., Li, X.D., Thayer, W.S., and Yodh, A.G., Photochemistry and Photobiology. 67, 33-40 (1998)

ρ2

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U n i v e r s i t y o f P e n n s y l v a n i a

What has been gained?

• Scattering separated from absorption.• Absorption can be measured in turbid

media.• Scattering (photon random walk step)

can be measured in turbid media.

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U n i v e r s i t y o f P e n n s y l v a n i a

Spectroscopy: Absorption Coefficients vs. λ

THC =

Total Hemoglobin Concentration = [HbO2] + [Hb] = THC

Tissue Oxygen Saturation = [HbO2] / THC = StO2

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U n i v e r s i t y o f P e n n s y l v a n i a

Image Reconstruction: Diffuse Optical Tomography

Arridge SR, Optical tomography in medical imaging, Inverse Problems 15, R41-R93, 1999

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U n i v e r s i t y o f P e n n s y l v a n i a

Tomography of Tissue Phantom

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Reconstructed Images

Top: Letters “DOT” and “PENN” 1 cm from surfaces.Bottom: Letters “DOT” in center of tank.

Konecky, S.D., Panasyuk, G.Y., Lee, K., Markel, V., Yodh, A.G., and Schotland J.C., Imaging complex structures with diffuse light. Optics Express 16, 5048-5060 (2008).

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Diffuse Light from Tissue Fluctuates in Time

• What is moving?(organelles, red blood cells, …)

• How much is moving, how fast & what is the manner of motion?

(Blood flow)

time

Boas, D.A., Campbell, L.E., and Yodh, A.G., Scattering and imaging with diffusing temporal field correlations, Physical Review Letters 75, 1855-1858 (1995).Boas, D.A., and Yodh, A.G., Spatially varying dynamical properties of turbid media probed with diffusing temporal light correlation, Journal of the Optical Society of America A 14, 192-215 (1997).

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U n i v e r s i t y o f P e n n s y l v a n i a

Blood Flow in Tissues: Cuff Ischemia

Correlation Function is complex, but clearly ‘something’ is working!

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U n i v e r s i t y o f P e n n s y l v a n i a

Blood Flow Index (BFI)

⟨∆r2 (τ)⟩ ~ Db τ

rBFI = relative blood flow change

α = fraction of scatterers moving

Db = effective diffusion constant

αDb = BFI

Γ, exponential approximation,give α⟨∆r2 (τ)⟩

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U n i v e r s i t y o f P e n n s y l v a n i a

Sensitivity to Tissue Physiology1. Absorption Variations [μa(λ)]

- Access to tissue chromophore concentrations- Hemoglobin Concentration (Hb), Blood Volume- Blood Oxygen Saturation (HbO2/[Hb + HbO2])- Water, Lipids

2. Exogenous Contrast Agents **- Absorption Contrast, Drugs,… [μa(λ)]- Fluorescence [c], τlifetime- Uptake & Clearance [μa(λ)], [c(t)]

3. Scattering Variations [μs,(λ)]- Organelle Concentrations (mitochondria,…)- Background fluids, n(λ,t).

4. Motions of Scatterers [⟨Δr2(τ)⟩], Γ, BFI- Average Blood Flow Density- Brownian Dynamics

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U n i v e r s i t y o f P e n n s y l v a n i a

Relevant Clinical Scenarios• Cancer Imaging and Diagnosis• Cancer Therapy monitoring• Stroke detection and monitoring• Mitochondial diseases• Epilepsy• Brain Activation• Muscle Activation

(Peripheral Vascular Disease)

[Hb] , [HbO2] , THC, StO2 , BFI , rBFI

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U n i v e r s i t y o f P e n n s y l v a n i a

Outline

• The basic measurement techniques(DOS, DCS, DOT, FDOT)

• Breast Cancer Imaging • Breast Monitoring (Cancer Therapy)

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U n i v e r s i t y o f P e n n s y l v a n i a

Potential niches for DOT in Breast Cancer

• Non-invasive• Relatively portable, rapid and

inexpensive• Complementary contrasts

(hemodynamics, water, lipid, contrast agents,…)

• Radiographically dense breasts• Combine with other modalities

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U n i v e r s i t y o f P e n n s y l v a n i a

Potential niches for DOT in Breast Cancer

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U n i v e r s i t y o f P e n n s y l v a n i a

Diffuse Optical Tomography of Breast

Regine Choe, Soren D. Konecky, Alper Corlu, Kijoon Lee, Turgut Durduran, David R. Busch, Saurav Pathak, Brian J. Czerniecki, Julia Tchou, Douglas L. Fraker, Angela DeMichele, Britton Chance, Simon R. Arridge, Martin Schweiger, Joseph P. Culver, Mitchell D. Schnall, Mary E. Putt, Mark A. Rosen, and Arjun G. Yodh, Journal of Biomedical Optics, 14(2):024020, 2009.

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U n i v e r s i t y o f P e n n s y l v a n i a

Parallel-Plane DOT Instrument

Data set : 45 x 984 x 6 ~ 250,000 Acquisition time = 8 minutes

Culver, Choe, Holboke, Zubkov, Durduran, Slemp, Ntziachristos, Chance, Yodh, Medical Physics 30 2003

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U n i v e r s i t y o f P e n n s y l v a n i a

Parallel-Plane DOT Instrument

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U n i v e r s i t y o f P e n n s y l v a n i a

DOT image: 3D

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U n i v e r s i t y o f P e n n s y l v a n i a

Invasive Ductal Carcinoma

• 53-year-old post-menopausal female, 2.2 cm invasive ductal carcinoma

rTHC – Hemoglobin rStO2 – Oxygen Sat. rµʹs – Scattering

rHbO2 – Oxyhemoglobin rHb – Deoxyhemoglobin

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U n i v e r s i t y o f P e n n s y l v a n i a

Cyst & Invasive Ductal Carcinoma

• 47-year-old pre-menopausal female, 6 cm cyst & 1.3 cm invasive ductal carcinoma

rTHC – Hemoglobin rStO2 – Oxygen Sat. rµʹs – Scattering

rHbO2 – Oxyhemoglobin rHb – Deoxyhemoglobin

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Example: Malignant vs Benign

Region of Interest

Optical IndexrTHC

Malignant: Invasive Ductal CarcinomaRegion of Interest

Benign: FibroadenomaMRI axial slice rTHC Optical Index

rStO 2

rStO 2

MRI axial slice rTHC – Hemoglobin rStO2 – Oxygen Sat. rµʹs – Scattering

rTHC – Hemoglobin rStO2 – Oxygen Sat. rµʹs – Scattering

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Endogenous Contrast: Benign vs Malignant (N=51)

Choe, R., Konecky, S.D., Corlu, A., Lee, K., Durduran, T., Busch, D.R., Pathak,S., Czerniecki, B.J.,Tchou, J., Fraker, D.L., DeMichele, A., Chance, B., Arridge, S.R., Schweiger, M., Culver, J.P., Schnall, M.D.,Putt, M.E., Rosen, M.A., and Yodh, A.G., Journal of Biomedical Optics 14, 024020 (2009)

rTHC – Total Hemoglobin rStO2 – Oxygen Saturation

rµʹs – Scattering

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U n i v e r s i t y o f P e n n s y l v a n i a

Future: Automated Computer Aided Cancer Detection

Page 35: Diffuse Optics for Breast Cancer Imaging & Monitoring · U n i v e r s i t y o f P e n n s y l v a n i a Diffuse Optics for Breast Cancer Imaging & Monitoring Acknowledgement: NIH,

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Exogenous Contrast: Fluorescence DOT

• Fluorescence signals can provide greater detection sensitivity and specificity compared to absorption signals.

• Access to new information: tissue pO2, pH, intracellular calcium concentration

• Precursor to detecting cancer-targeted molecular imaging probes in vivo (e.g. dyes, molecular beacons, nanoparticles).

• Challenge: In Vivo Fluorescence Imaging of Human Breast Cancer

Corlu, Choe, Durduran, Rosen, Schweiger, Arridge, Yodh, Optics Express, 15(11) (2007)

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Indocyanine Green (ICG)

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U n i v e r s i t y o f P e n n s y l v a n i a

ICG Kinetics

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U n i v e r s i t y o f P e n n s y l v a n i a

FDOT Reconstruction (Large Contrast)

• 4-fold increase in ICG concentration.

rTHC rStO2 rµs’ rICG

1.09 ± 0.03 0.91 ± 0.02 1.82 ± 0.93 3.74 ± 0.77

•Difference between hypervascularizedand leaky regions.

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U n i v e r s i t y o f P e n n s y l v a n i a

• Image Reconstruction(large data sets)

• Image/Data Processing(composite indices, automated segmentation)

• Flow plus Oxygen gives Metabolism• Contrast Agents

(fluorescence, nanoparticles, targeting, . . .)• Multi-modal Imaging & Diagnosis

• X-Ray• MRI• Ultrasound• PET

Future/Ongoing Improvements

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U n i v e r s i t y o f P e n n s y l v a n i a

Outline

• The basic measurement techniques(DOS, DCS, DOT, FDOT)

• Breast Cancer Imaging • Breast Monitoring (Cancer Therapy)

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U n i v e r s i t y o f P e n n s y l v a n i a

Cancer Therapy & Diffuse Optics

• Cancer therapy efficacy is closely related with vascular physiology (e.g. blood flow, hypoxia).

• Diffuse Optics:– Total hemoglobin concentration (THC),– Blood oxygen saturation (StO2),– Microvascular blood flow (BF).– Inexpensive, Portable, Nonionizing radiation– Frequent monitoring

• Can we predict the treatment efficacy early?• Individualized therapy monitoring?

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U n i v e r s i t y o f P e n n s y l v a n i a

Chemotherapy Monitoring

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Long Time Response (DOT, THC)

• Complete pathologic responder• Total hemoglobin concentration (THC)

distribution became homogeneous

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Long Time Response (DCS, Blood Flow)

• Relative Blood flow (rBF) = BF/BFtumor,pre

• Antivascular effects of chemotherapy → Blood flow decreased

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Short Time Response (N=1)

• Collaboration with UCI (Tromberg group)• Partial responder with good response: residual

carcinoma with extensive fibrosisC. Zhou et al., Journal of Biomedical Optics, 12 p.051903 (2007)

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Short Time Response (N=2)

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U n i v e r s i t y o f P e n n s y l v a n i a

Early Therapy Response

• Good response: rBF overshoot followed by significant ↓, rTHC ↓

• Bad response: rBF ↑, rTHC ↑

• Inflammation response followed by cancer cell death?

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U n i v e r s i t y o f P e n n s y l v a n i a

• Diffuse Optics Probes Physiology of Deep Tissues.

• Breast Tumors, Brain, Head & Neck Tumors, Muscle ...

• Animal Model Research (Pre-clinical)

Summary/Future