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PRACTICE EVOLUTION: Decentralized Computer- Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg, MD PhD, FCAP Chairman, Department of Pathology Baystate Health, Springfield, MA Tufts University School of Medicine

PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

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Page 1: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis

Liron Pantanowitz, MD, FCAPDirector of Pathology Informatics

Richard C. Friedberg, MD PhD, FCAPChairman, Department of Pathology

Baystate Health, Springfield, MATufts University School of Medicine

Page 2: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Why Are We Doing This?Why Are We Doing This?

• Practice BackgroundPractice Background• Today’s EnvironmentToday’s Environment

Increased technological innovationIncreased technological innovation Increased biological informationIncreased biological information Increased clinical demandIncreased clinical demand

• Convergence of two independent long Convergence of two independent long term trendsterm trends

Page 3: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Key Trend #1 in the Practice of Key Trend #1 in the Practice of Anatomic PathologyAnatomic Pathology

• Evolution along Clinical Pathology linesEvolution along Clinical Pathology lines Greater concern with analytical precision, Greater concern with analytical precision,

reproducibility, accuracy, specificity, reliabilityreproducibility, accuracy, specificity, reliability Qualitative becoming quantitativeQualitative becoming quantitative ““Stains” becoming “assays”Stains” becoming “assays” Results directly tied to treatment, not just prognosisResults directly tied to treatment, not just prognosis Diminishing “guild” mentality with anointed expertsDiminishing “guild” mentality with anointed experts

• ExamplesExamples IHC & ELISAIHC & ELISA Her2/neu & Herceptin Her2/neu & Herceptin

Page 4: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Key Trend #2 in the Practice of Key Trend #2 in the Practice of Anatomic PathologyAnatomic Pathology

• Evolution along Radiology/Imaging linesEvolution along Radiology/Imaging lines Analog images establish the fieldAnalog images establish the field Market & technology forces start trend to digital Market & technology forces start trend to digital

imaging imaging • Initially, scanning of analog imagesInitially, scanning of analog images• Later, digitally acquired imagesLater, digitally acquired images

Digitalization of images allows new applicationsDigitalization of images allows new applications Significant workload & throughput implications Significant workload & throughput implications

• ExamplesExamples PACSPACS Convergence imagingConvergence imaging WindowingWindowing Dynamic imagesDynamic images Telediagnostics Telediagnostics

Page 5: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

ExpectationsExpectations

• EventuallyEventually Every “image-based” pathologist will use Every “image-based” pathologist will use

computer-assisted analytic tools to assay computer-assisted analytic tools to assay specimensspecimens

Intelligently designed PACS will revolutionize Intelligently designed PACS will revolutionize pathology workflowpathology workflow

Increased reliance upon pathology Increased reliance upon pathology

Page 6: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Breast Cancer & Breast Cancer & Immunohistochemistry (IHC)Immunohistochemistry (IHC)

Determining breast tumor markers (ER, PR & HER-2/neu) for Determining breast tumor markers (ER, PR & HER-2/neu) for prognostic & predictive purposes by IHC &/or FISH is the prognostic & predictive purposes by IHC &/or FISH is the standard of practice.standard of practice.

IHC score/quantification by manual microscopy is currently IHC score/quantification by manual microscopy is currently accepted as the traditional gold standard.accepted as the traditional gold standard.

Surgical Pathology workflow involves:Surgical Pathology workflow involves:• Pre-analytic preparationPre-analytic preparation (e.g. tissue fixation & processing) (e.g. tissue fixation & processing)• AnalysisAnalysis (i.e. staining of controls & patient slides) (i.e. staining of controls & patient slides)• Post-analytical componentPost-analytical component (e.g. quantification & reporting) (e.g. quantification & reporting)

DiscrepanciesDiscrepancies between HER2 IHC & FISH mainly reflect errors between HER2 IHC & FISH mainly reflect errors in manual interpretation & not reagent limitations (in manual interpretation & not reagent limitations (Bloom & Bloom & Harrington. AJCP 2004; 121:620-30Harrington. AJCP 2004; 121:620-30).).

Inter- & intra-observer differences in scoringInter- & intra-observer differences in scoring occur: occur:• Most notably with borderline & weakly stained casesMost notably with borderline & weakly stained cases• Related to fatigue & subjectivity of human observersRelated to fatigue & subjectivity of human observers

Page 7: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Accuracy is RequiredAccuracy is Required Accuracy = the amount by which a measured Accuracy = the amount by which a measured

value adheres to a standard. value adheres to a standard. The need for precise ER, PR & HER2/neu status in The need for precise ER, PR & HER2/neu status in

breast cancer is required to ensure appropriate breast cancer is required to ensure appropriate therapeutic intervention.therapeutic intervention.

Lay press have communicated concerns over Lay press have communicated concerns over inaccuracies in breast biomarker testing.inaccuracies in breast biomarker testing.

Threat of having to refer such testing to reference Threat of having to refer such testing to reference laboratories.laboratories.

Is computer assisted image analysis (CAIA) a Is computer assisted image analysis (CAIA) a better (i.e. more accurate & reproducible) method better (i.e. more accurate & reproducible) method for scoring IHC?for scoring IHC?

Page 8: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,
Page 9: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

GuidelinesGuidelines ASCO/CAP Guideline Recommendations for HER2/neu testing in ASCO/CAP Guideline Recommendations for HER2/neu testing in

breast cancerbreast cancer ( (Wolff et al. Arch Pathol Lab Med 2007; 131:18Wolff et al. Arch Pathol Lab Med 2007; 131:18))• Image analysis can be an effective tool for achieving consistent Image analysis can be an effective tool for achieving consistent

interpretationinterpretation• A pathologist must confirm the image analysis resultA pathologist must confirm the image analysis result• Image analysis equipment (including optical microscopes) must be Image analysis equipment (including optical microscopes) must be

calibrated, subjected to regular maintenance & internal QC evaluationcalibrated, subjected to regular maintenance & internal QC evaluation• Image analysis procedures must be validatedImage analysis procedures must be validated

Canadian National Consensus Meeting on HER2/neu testing in Canadian National Consensus Meeting on HER2/neu testing in breast cancerbreast cancer ( (Hanna et al. Current Oncology 2007; 14:149-53Hanna et al. Current Oncology 2007; 14:149-53))• Use of image analysis systems can be useful to enhance reproducibility Use of image analysis systems can be useful to enhance reproducibility

of scoringof scoring• Pathologists must supervise all image analysesPathologists must supervise all image analyses

FDA clearance FDA clearance for CAIA in vitro diagnostic use of HER-2/neu, ER, and PR for CAIA in vitro diagnostic use of HER-2/neu, ER, and PR IHC has been obtained by several companiesIHC has been obtained by several companies

Page 10: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

CAIA vs. Manual ScoreCAIA vs. Manual ScoreRemmele & Schicketanz. Pathol Res Pract 1993; 189:862-6Remmele & Schicketanz. Pathol Res Pract 1993; 189:862-6

““Subjective grading of slides is a simple, Subjective grading of slides is a simple, rapid and useful method for the rapid and useful method for the determination of tissue receptor content determination of tissue receptor content and must not be replaced by expensive and must not be replaced by expensive and time-consuming computer-assisted and time-consuming computer-assisted image analysis in daily practice.”image analysis in daily practice.”

Page 11: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Data on CAIA & IHCData on CAIA & IHC Early studies showed CAIA was no better than visual analysisEarly studies showed CAIA was no better than visual analysis

((Schultz et al. Anal Quant Cytol Histol 1992; 14:35-40Schultz et al. Anal Quant Cytol Histol 1992; 14:35-40)) Few studies have shown that manual & CAIA are comparable Few studies have shown that manual & CAIA are comparable

(Diaz et al. Ann Diagn Pathol 2004; 8:23-7)(Diaz et al. Ann Diagn Pathol 2004; 8:23-7) Most studies found CAIA to be superior to manual methods Most studies found CAIA to be superior to manual methods

(Taylor & Levenson. Histopathology 2006; 49::411-24; McClelland et al. (Taylor & Levenson. Histopathology 2006; 49::411-24; McClelland et al. Cancer Res 1990; 50:3545-50; Kohlberger et al. Anticancer Res 1999; Cancer Res 1990; 50:3545-50; Kohlberger et al. Anticancer Res 1999; 19:2189-93; Wang et al. Am J Clin Pathol 2001; 116:495-503; Turner et al. 19:2189-93; Wang et al. Am J Clin Pathol 2001; 116:495-503; Turner et al. USCAP 2008 abstract 1694).USCAP 2008 abstract 1694).• Provides effective qualitative & quantitative evaluationProvides effective qualitative & quantitative evaluation• More consistent than manual & digital microscopyMore consistent than manual & digital microscopy• More precise (scan per scan) than pathologistsMore precise (scan per scan) than pathologists

One study showed agreement between different CAIA One study showed agreement between different CAIA systems:systems: Chroma Vision ACIS & Applied Imaging Ariol SL-50 Chroma Vision ACIS & Applied Imaging Ariol SL-50 (Gokhale et al. Appl Immunohistochem Mol Morphol 2007; 15:451-5)(Gokhale et al. Appl Immunohistochem Mol Morphol 2007; 15:451-5)

Page 12: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Published ConsiderationsPublished Considerations Expense of CAIA may be hard to justify where Expense of CAIA may be hard to justify where

volumes are lowvolumes are low Image analysis frequently requires interactive Image analysis frequently requires interactive

input by the pathologistinput by the pathologist Increased time requirements Increased time requirements Systems may be discrepant when tumor cells Systems may be discrepant when tumor cells

have low levels of staininghave low levels of staining Interfering non-specific staining within selected Interfering non-specific staining within selected

areasareas Images must be free from artifactsImages must be free from artifacts Small amounts of stained tissue can erroneously Small amounts of stained tissue can erroneously

generate lower scoresgenerate lower scores

Page 13: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

CAIA SystemsCAIA Systems

• ImageJImageJ (NIH developed freeware) (NIH developed freeware)• Adobe PhotoshopAdobe Photoshop software software

(Lehr et al J Histochem Cytochem 1997; 45:1559-65)(Lehr et al J Histochem Cytochem 1997; 45:1559-65)

• Automated Cellular Imaging SystemAutomated Cellular Imaging System (Chroma Vision)(Chroma Vision)

• Pathiam Pathiam (BioImagene)(BioImagene)• Applied Imaging AriolApplied Imaging Ariol (Gentix Systems) (Gentix Systems)• SpectrumSpectrum (Aperio) (Aperio)

Page 14: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Image Analysis & AlgorithmsImage Analysis & Algorithms Object-Oriented Image AnalysisObject-Oriented Image Analysis (morphology- (morphology-

based)based) Involves color normalization, background Involves color normalization, background

extraction, segmentation, classification & feature extraction, segmentation, classification & feature selectionselection

Separation of tissue elementsSeparation of tissue elements (e.g. tumor (e.g. tumor epithelium) from background (e.g. stroma) epithelium) from background (e.g. stroma) permits selection of areas of interest & filtering permits selection of areas of interest & filtering out of unwanted areasout of unwanted areas

Region of Interest (ROI)Region of Interest (ROI) is subject to further is subject to further image analysis (computation of diagnostic score)image analysis (computation of diagnostic score)

QuantificationQuantification of results of results

Page 15: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Digital AlgorithmDigital Algorithm

Courtesy of BioImagene

Page 16: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Courtesy of BioImagene

Page 17: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Courtesy of BioImagene

Page 18: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Validation & Implementation Validation & Implementation at Baystate Healthat Baystate Health

Distant medical centersDistant medical centers Significant breast IHC caseloadSignificant breast IHC caseload Need to mimic daily practiceNeed to mimic daily practice

• avoid central (single user) image analysisavoid central (single user) image analysis Bandwidth limitationsBandwidth limitations Whole slide imager availabilityWhole slide imager availability Professional reluctance to read digital Professional reluctance to read digital

imagesimages

Page 19: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Key ComponentsKey Components

Multimedia PC upgradeMultimedia PC upgrade Spot Diagnostic digital cameras for each Spot Diagnostic digital cameras for each

workstation workstation PathiamPathiam (BioImagene) web-based (BioImagene) web-based

applicationapplication Server (Oracle database + application + Server (Oracle database + application +

image file storage)image file storage) Training & ValidationTraining & Validation

Page 20: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

WORKFLOWWORKFLOW

CONTROL IHC

PATIENT IHC

FOV ANALYSIS

REPORT GENERATION

Page 21: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

NEED FOR STANDARDIZATIONNEED FOR STANDARDIZATION

Page 22: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Calibrated WorkstationsCalibrated Workstations

Page 23: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

FOV IHC AnalysisFOV IHC Analysis FFPE breast cases routinely stained for ER, PR & HER2-neuFFPE breast cases routinely stained for ER, PR & HER2-neu Standardized camera acquisition settings (calibration)Standardized camera acquisition settings (calibration) Pathologists (n=3) acquired 3-5 FOVs (each at 20x Mag.)Pathologists (n=3) acquired 3-5 FOVs (each at 20x Mag.) Uniform jpg image file formats used (4 Mb)Uniform jpg image file formats used (4 Mb) Post-processing image manipulation was avoidedPost-processing image manipulation was avoided Control parameter set defined/IHC run (default/modified)Control parameter set defined/IHC run (default/modified) ER/PR nuclear staining analyzed using the Allred scoring ER/PR nuclear staining analyzed using the Allred scoring

system (i.e. proportion + intensity score = TS)system (i.e. proportion + intensity score = TS) HER-2/neu membranous staining evaluated per ASCO/CAP HER-2/neu membranous staining evaluated per ASCO/CAP

2007 recommendations (0, 1+, 2+, 3+)2007 recommendations (0, 1+, 2+, 3+) Manual vs. CAIA comparison tracked (IHC score, time & Manual vs. CAIA comparison tracked (IHC score, time &

problems)problems) FISH for HER2/neu obtained on several casesFISH for HER2/neu obtained on several cases

Page 24: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

ER/PR Correlation (N=29)ER/PR Correlation (N=29)

Bio- markerBio- marker ConcordantConcordant

CasesCasesDiscordant Discordant

CasesCases

ER+ER+ 1616 00

ER -ER - 44 2*2*

PR+PR+ 1414 00

PR -PR - 44 3*3*

* 3 cases

Page 25: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

HER-2/Neu Results (N=28)HER-2/Neu Results (N=28)

ScoreScore 0/1+0/1+ 2+2+ 3+3+

0/1+0/1+ 1616 1*1*

2+2+ 33 1**1**

3+3+ 44

CA

IA Manual Scoring

FISH RESULTS:

* Negative (Ratio 1.04)

** Abnormal (Ratio 6.5)

Page 26: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

HER-2/Neu FISH CorrelationHER-2/Neu FISH CorrelationManual ScoreManual Score CAIA ScoreCAIA Score FISH ResultFISH Result

00 00 Negative (1.06)Negative (1.06)

00 00 Negative (0.93)Negative (0.93)

11 11 Negative (1.04)Negative (1.04)

11 00 Negative (1.00)Negative (1.00)

11 00 Negative (1.07)Negative (1.07)

11 00 Negative (1.66)Negative (1.66)

22 11 Negative (1.04)Negative (1.04)

33 22 Abnormal (6.5)Abnormal (6.5)

Page 27: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Challenging CasesChallenging Cases

Infiltrating Lobular Carcinoma Cytoplasmic StainingInfiltrating Lobular Carcinoma Cytoplasmic Staining

Page 28: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Lessons LearnedLessons Learned

Decentralized CAIA for IHC designed to Decentralized CAIA for IHC designed to mimic daily surgical pathology workflow in mimic daily surgical pathology workflow in practice is feasiblepractice is feasible

Image acquisition requires standardizationImage acquisition requires standardization Tissue heterogeneity may impact FOV Tissue heterogeneity may impact FOV

selection (whether biological or due to IHC selection (whether biological or due to IHC variation)variation)

Pathologists must supervise CAIA systemsPathologists must supervise CAIA systems

Page 29: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

Future ProspectsFuture Prospects Adopt virtual workflow-centric systems feasible for routine Adopt virtual workflow-centric systems feasible for routine

practice (that may potentially show better results)practice (that may potentially show better results)• E.g. Whole slide imaging (WSI) to eliminate the need to E.g. Whole slide imaging (WSI) to eliminate the need to

standardize different systemsstandardize different systems Automatic ROI selection & image analysisAutomatic ROI selection & image analysis Shortened analysis timeShortened analysis time AP-LIS & CAIA system integrationAP-LIS & CAIA system integration

• To improve workflowTo improve workflow• Permit disparate systems to access the same digital images & Permit disparate systems to access the same digital images &

case datacase data Learning algorithmsLearning algorithms

• Systems that improve with experience following pathologist Systems that improve with experience following pathologist feedbackfeedback

Clinical outcome studies are neededClinical outcome studies are needed• In one study, CAIA for ER IHC yielded results that did not differ from In one study, CAIA for ER IHC yielded results that did not differ from

human scoring against patient outcome gold standards (human scoring against patient outcome gold standards (Turbin et al. Turbin et al. Breast Cancer Res Treat 2007Breast Cancer Res Treat 2007))

Page 30: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

AcknowledgementsAcknowledgements

Christopher N. Otis, MDChristopher N. Otis, MD

Giovana M. Crisi, MDGiovana M. Crisi, MD

Andrew Ellithorpe, MHSAndrew Ellithorpe, MHS

Peter Marquis, BAPeter Marquis, BA

BioImageneBioImagene

Page 31: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,
Page 32: PRACTICE EVOLUTION: Decentralized Computer-Assisted IHC Image Analysis Liron Pantanowitz, MD, FCAP Director of Pathology Informatics Richard C. Friedberg,

TRANSFORMING PATHOLOGY:Emerging technology driving practice

innovation