Title: Design and Performance of a Localized Fiber Optic, Spectroscopic Prototype Device for the Detection of the Metabolic Status of
1Design and Performance of a Localized Fiber
Optic, Spectroscopic Prototype Device for the
Detection of the Metabolic Status of Vulnerable
Plaquein-vitro Investigation of Human Carotid
Plaque
2OUTLINE
- INTRODUCTION
- Problem identification, objectives, specific
aims, hypotheses, and background review - OPTICAL DESIGN
- 1 mm3 tissue volume interrogation achieved with
optical probe - METHODS
- Laboratory setup
- Data collection
- Calibration model development
- RESULTS
- DISCUSSION/CONCLUSIONS
- Limitations
- Future work
3PROBLEM IDENTIFICATION
- Atherosclerotic cardiovascular disease 6.3 M
deaths / yr worldwide - Cardiovascular disease 1 killer in the U.S.
- 1.5 M myocardial infarctions (MI) / yr in the
U.S. - 250,000 / yr sudden cardiac deaths
- 111.8 billion / yr health care costs
(direct/indirect) - Major risk factors
- Smoking
- High blood cholesterol (LDL/HDL ratio)
- Physical inactivity
- Overweight/Obesity
- Diabetes mellitus
Source American Heart Association. 2002 Heart
and Stroke Statistical Update. 2001.
http//www.americanheart.org
4Sudden Cardiac Death
Acute MI
Vulnerable Plaque(s)
Everybody has atherosclerosis, the question is
who has vulnerable plaque
5Unknown Diagnosis Vulnerable Plaque
- The precursor that ultimately ends in acute
thrombi (clots) of sudden death MI - Inflammatory cells found preferentially in
vulnerable plaque - Activity sustained through anaerobic metabolism
and lactate production
6Morphology vs. Activity Imaging
Thermography, Spectroscopy, immunoscintigraphy,
MRI with targeted contrast media
Show Different Activity
Inactive and non-inflamed plaque
Active and inflamed plaque
Appear Similar in
Morphology
IVUS
MRI w/o CM
OCT
7HISTOLOGY
THROMBUS
LIPID CORE
J Am Coll Cardiol. 2001 Sep38(3)718-23.
Am J Pathol. 2000 Oct157(4)1259-68.
FIBRO-CALCIFIC
Courtesy of Texas Heart Institute
8LONG-TERM OBJECTIVES
- Develop an optical spectroscopy catheter system
to determine the metabolic status of
atherosclerotic vessels - No exogenous dyes
- No ionizing radiation
- Low cost addition to existing cardiac
catheterization laboratory - Locate and identify vulnerable plaque based on
metabolic status with optical spectroscopy
9SHORT-TERM GOALS
- Demonstrate feasibility in-vitro of optical
spectroscopy to accurately determine metabolic
status - Tissue lactate concentration
- Tissue pH
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11SPECIFIC AIMS
- Design a reflectance-based fiber optic probe that
uses visible to near-infrared light optimally to
interrogate a small volume of tissue. - Estimate the depth penetration of fiber optic
probe, based on theory and experiments. - Identify major interferents to the optical
spectra and tissue reference measurements
collection. - Collect and analyze fresh tissue from human
carotid endarterectomies to create large optical
calibration training set while maintaining tissue
in a viable physiological state in-vitro.
12HYPOTHESES
- A small fiber optic prototype can make optical
measurements in-vitro for the assessment of
metabolically active plaque in a defined region
of tissue (lt 1 mm3 volume). - in-vitro experimental factors can be assessed to
their importance in affecting the optical
calibration accuracy. The tissue temperature,
experiment time, and gross pathology are
identified a priori. - Mathematical models can be developed which relate
the corresponding optical spectra to the
individually measured metabolic parameters
(tissue pH and lactate concentration) in the
presence of inherent pathological variability.
13SPECTROSCOPY BASICS
In general, spectroscopy is the use of the
electromagnetic spectrum to perform physical or
chemical analysis
14PREVIOUS WORK
- Optical spectroscopy proposed by Lodder (UKY),
Feld (MIT) and Jaross (Germany) to characterize
morphological properties of atherosclerotic
plaques such as thin fibrous cap, large lipid core
15LACTATE AND PLAQUE
- Metabolite produced by activated macrophages
- Studies show lactate is present in plaque (Kirk,
Zemplenyi) - Anaerobic glycolysis LDH
- Pyruvate NADH ? Lactate NAD
- Overall anaerobic process
- Glucose 2ADP 2Pi ? 2 Lactate 2ATP 2H20
2H
16NIR Spectrum
Near infrared absorbance of lactic acid
17PLAQUE pH
Large scale, ex-vivo study on carotid plaques
demonstrated metabolic heterogeneity in grossly
pathological areas (Grascu, 1999)
Inflamed regions of plaque are lower in pH in the
atherosclerotic Watanabe rabbit and human carotid
plaques plaque pH heterogeneity demonstrated
(Naghavi, 2002)
18DR. SOLLERS LAB
- Tissue pH can be measured by NIR spectroscopy in
heart muscle (Soller, Zhang 1998) - Lessons learned volume of optical measurement gtgt
volume of reference measurement - Heterogeneity in a large tissue volume may be
solved with smaller optical probe
19OPTICAL DESIGN
20DESIGN PROCESS
- Define of optical probe requirements
- Theoretical considerations of tissue optical
properties - Monte Carlo simulations interpretation
- Building and testing several optical probes
- Depth penetration assessment
21Optical Catheter System Diagram
- Optical fibers carry light to tissue
- Light is reflected and/or backscattered toward
fibers that return light to spectrometer and
tissue absorbance calculated - Catheter geometry and optical coupling important
- Small source-receiver separations light
penetrates tissue while restricting volume
interrogated
tissue interface
2 mm
Absorbance
To spectrometer
Light in
wavelength
22THEORY
- Monte Carlo Simulations
- Estimate light paths in complex absorbing and
scattering medium - Random events reflection, absorption,
scattering, or transmission - Define grid geometry, specify tissue optical
properties
23Diffuse Reflectance(radius)
normal
atherosclerotic
Theoretical Depth Penetration
24OPTICAL EXPERIMENTS
- Compared signal-to-noise ratios (SNR) for several
fiber types / configurations - Different core sizes / number of fibers
- With or without optical windows
- Source-receiver separations
25PROBE GEOMETRY
Large OD Probe
360 degree illumination w/ optical window
Forward illumination No optical window
Final probe W/ optical window
26TISSUE PENETRATION STUDY
- Reference spectra collected for each optical
configuration (50, 500 micron separations). - Absorbance spectra collected with n-th slice of
50 micron tissue. - Second absorbance spectrum collected with n-th
slice plus diffuse reflector. Both absorption and
scattering attenuate tissue signal.
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28FINAL PROBE DESIGN
- Using a source-receiver separation of 50 microns,
adequate depth resolution could be achieved in
plaque in both the visible and near-infrared - Increasing the collection fiber core diameter
size to 200 microns with improved transmission
out to 2400 nm, higher signal-to-noise ratio is
achieved by improving the fiber collection area
by 4 times and collection efficiency - Using a 0.5 mm thick quartz optical window fused
on the common end, with forward-viewing optics,
the signal-to-noise ratio would be further
improved across all wavelengths
291 cm
Fiber optic probe used for all optical
determinations in this study.
30METHODS
31Laboratory setup for all studies.
32Humidified Incubator maintained at 37C.
33in-vitro Plaque Validation Study
- Minimum Eagles Medium (MEM), pH 7.4, 5.6 mM
glucose, 26.2 mM NaHCO3, with non-essential amino
acids was used (Invitrogen). - Media equilibrated with 75 O2 / 5 CO2 gas
mixture prior to plaque addition. - Seven human carotid plaques (UMass Memorial IRB
Approval 10041) were collected and placed
immediately in 37C media enclosed in a
humidified incubator at 37C. - Two plaques that were not placed in the liquid
media, only in the humidified air of the
incubator, served as controls. - Measurements were taken with a 0.5 mm OD
multi-parameter sensor placed in the tissue
(Diametrics, MN). - Changes in tissue pH, temperature, PO2 and PCO2
over time were analyzed.
34Control plaque with multi-parameter sensor in
place.
35Box-whisker plots for ?pH / hour and ?temperature
/ hour (top and bottom, respectively) for the
control and test plaques. The change in pH and
temperature over time is greater in the controls
than the test plaques.
36STABILITY REVIEW
- Experiment time fixed max. 4 hrs
- in-vitro experimental stability criteria met
- lt0.03 pH units/hr and lt 0.4C /hr
- Tissue temperature in media gt 32C to ensure
tissue viability - Tissue values stable and different from media,
controls - Plaques in oxygenated media had higher pO2
readings versus control plaques - Thickness of plaque affected magnitude of pO2
readings - Unable to measure calcified areas over time
37OPTICAL CALIBRATION
- 24 additional human carotid plaques were
collected and placed in-vitro. - Absorbance spectra (667 2500 nm) of each area
were taken using Nicolet FTIR 670 spectrometer
with fiber optic probe (Remspec, MA) for optical
lactate determination. - Tissue biopsies of the same area were taken using
a 4-mm punch biopsy and immediately frozen in
liquid nitrogen. - Reference tissue lactate (LA) assayed using
micro-enzymatic methods. Values reported as
micromole LA per gram wet tissue. - Matching spectra and reference values modeled by
multivariate calibration techniques. R2 and the
standard error of cross-validation (SECV) used to
assess model accuracy.
38OPTICAL CALIBRATION
- Absorbance spectra (400-1100 nm) were collected
for a smaller subset of 14 plaques using a
Control Development spectrometer and same optical
probe for optical tissue pH determination. - Reference tissue pH was measured using 750 um
diameter micro-pH electrodes. - Matching spectra and reference values modeled by
multivariate calibration techniques. R2 and the
standard error of cross-validation (SECV) used to
assess model accuracy.
39MODEL DEVELOPMENT
- Partial least-squares, factor analysis
- Create calibration with as many points as
possible - Cluster analysis
- Investigate (in)homogeneity of spectra
40RESULTS
41SPECTRA COLLECTION Lactate
- 82 raw absorbance spectra shown below (667-2400
nm) - Key features are water (970, 1450 and 2000 nm),
cholesterol and its esters (1750 nm).
Thrombus/Red n22
Fatty/Yellow n41
Calcified/White n19
42SPECTRA COLLECTION Tissue pH
- 48 raw absorbance spectra shown below (400-1100
nm) - Key features are hemoglobin (550 575 nm) and
water (970 nm) absorption
Thrombus/Red n11
Fatty/Yellow n23
Calcified/White n14
43Histogram of lactate reference measurements 3.2 ?
2.7 (mean ? SD) n82
44Histogram of tissue pH reference
measurements 7.33 ? 0.21 (mean ? SD) n48
45REFERENCE MEASUREMENTS
- No spurious correlations between measured
variables - Tissue temperature, experiment times within
validated experiment parameters - Pathology subjective
46RESULTS Tissue Lactate
- 6-Factor model from 17 points
- Wavelength regions contributing to model
- 2030 2330 nm
- The R2 of the determination for optical lactate
(LA) calibration 0.83. - Estimated accuracy 1.4 micromoles LA/gram
tissue.
47Clustering solution for 82 spectra for the
optical determination of lactate. Cluster A 45
spectra, B 31 spectra, and C 6 spectra.
Cluster A contained the first 21 calibration
spectra collected.
48RESULTS Tissue pH
- 3-Factor model from 17 points
- Wavelength regions contributing to model
- 1 400 615 nm
- 2 925 1890 nm
- 3 2044 2342 nm
- The R2 of the determination for optical tissue pH
calibration 0.75. - Estimated accuracy 0.09 pH units.
49Clustering solution for optical determination of
tissue pH. Two clusters A contains 39 spectra,
B contains 9 spectra. The underlying pathology in
cluster B was identified as all thrombotic
points.
50DISCUSSION
- Lactate model on portion of entire data set
- Further factor analysis showed spectra weakly
associated with theoretical lactate peaks - Number of factors in model too high for of
samples used need more samples - Tissue pH model on portion of entire data set
- Further factor analysis showed spectra associated
with Hb and water peaks, evidence of pH-induced
shift - Number of factors acceptable for of samples used
51CONCLUSIONS
- A small fiber optic prototype can make optical
measurements in-vitro for the assessment of
metabolically active plaque in a defined region
of tissue (lt 1 mm3 volume). - Hypothesis accepted
- in-vitro experimental factors can be assessed to
their importance in affecting the optical
calibration accuracy. The tissue temperature,
experiment time, and gross pathology are
identified a priori. - Hypothesis accepted
52CONCLUSIONS
- Mathematical models can be developed which relate
the corresponding optical spectra to the
individually measured metabolic parameters
(tissue pH and lactate concentration) in the
presence of inherent pathological variability. - Hypothesis rejected for large n pending work
- Limited feasibility of models generated
- Pathological variability large
- Unmodeled tissue variability
- Lactate reference method precision
- Optical tissue volume gtgt real tissue pH
heterogeneity - Long-term spectrometer drift could not be ruled
out
53FUTURE WORK
- Considerable in-vitro work needs to continue
- Other clustering algorithms, pre-processing
methods - Reference lactate measurement precision
- Reduce unmodeled variability, better tissue model
- Larger data sets
- Spectrometer stability
- Rigorous acceptance criteria must be met before
use in-vivo animals or humans
54ACKNOWLEDGEMENTS
Texas Heart Institute, Center for Vulnerable
Plaque Research/UT Houston Dr. S.W. Casscells
Dr. Silvio Litovsky Dr. Morteza
Naghavi Department of Surgery, University of
Massachusetts Medical School Vascular Surgeons
Dr. P. Nelson, Dr. B. Cutler, Dr. A. Fox and Dr.
M. Rohrer Dr. Babs R. Soller Dr. Patrick
Idwasi This work was supported by US Army DREASM
Grant