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Virtual Histology:From Theory to Vulnerable Plaque Detection Shaoliang Chen MD Nanjing First Hospital Nanjing Cardiovascular Hospital

Virtual Histology:From Theory to Vulnerable Plaque Detection

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Virtual Histology:From Theory to Vulnerable Plaque Detection. Shaoliang Chen MD Nanjing First Hospital Nanjing Cardiovascular Hospital. Acute coronary syndrome (ACS) commonly results from rupture of thin-cap fibroatheroma (TCFA), and occasionally results from erosion or calcified nodules. - PowerPoint PPT Presentation

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Page 1: Virtual Histology:From Theory to Vulnerable Plaque Detection

Virtual Histology:From Theory to Vulnerable Plaque Detection

Shaoliang Chen MD

Nanjing First Hospital

Nanjing Cardiovascular Hospital

Page 2: Virtual Histology:From Theory to Vulnerable Plaque Detection
Page 3: Virtual Histology:From Theory to Vulnerable Plaque Detection

Acute coronary syndrome (ACS) commonly results from rupture of thin-cap fibroatheroma (TCFA), and occasionally results from erosion or calcified nodules.

Pathological features of TCFA are the presence of thin fibrous cap (<65μm) and a large lipid core.

Bruke AP et al. N Eng J Med.1997;336:1276-1282Falk E, et al. Circulation. 1995; 92: 657-671Virmani R, et al. Arterioscler Thromb Vasc Biol.2000; 20: 1262

Page 4: Virtual Histology:From Theory to Vulnerable Plaque Detection

IVUS – Listening through walls

LumenLumen

Lipid

VesselVessel

US signalUS signal

BackscatteredBackscatteredsignal or RF datasignal or RF data

BackscatteredBackscatteredsignal or RF datasignal or RF data

Page 5: Virtual Histology:From Theory to Vulnerable Plaque Detection

From Conventional IVUS imaging toFrom Conventional IVUS imaging toRadiofrequency Signal ProcessingRadiofrequency Signal Processing

• Conventional IVUS images are derived from the Conventional IVUS images are derived from the envelope of the RadioFrequency signal recorded by envelope of the RadioFrequency signal recorded by the US transducerthe US transducer

• More information can be derived from the processing More information can be derived from the processing of the raw RF signal itself for:of the raw RF signal itself for:

tissue characterizationtissue characterization evaluation of mechanical properties evaluation of mechanical properties assessment of flowassessment of flow

0.5 1 1.5 2 2.5 3 3.5 4 4.5 5-150

-100

-50

0

50

100

150

bloodblood

wallwall

cathetercatheter

Page 6: Virtual Histology:From Theory to Vulnerable Plaque Detection

Virtual histology IVUS (VH-IVUS) uses amplitude and frequency of echoes

Especially, Necrotic Core component is knownto related to plaque vulnerability.

VH- IVUS differentiates coronaryplaque into 4 types

Frequency

Amplitude

Page 7: Virtual Histology:From Theory to Vulnerable Plaque Detection

“Conventional” IVUS Assessment of

Patients Presenting with ACS

Page 8: Virtual Histology:From Theory to Vulnerable Plaque Detection

Echolucent Plaque=Vulnerable Plaque?

Page 9: Virtual Histology:From Theory to Vulnerable Plaque Detection

Echolucent Plaque and VH

Page 10: Virtual Histology:From Theory to Vulnerable Plaque Detection

Echolucent Plaque and VH(n=53)

VH Phenotype of Echolucent Lesion

Echolucent Zone Adjacend of Echolucent Zone

Yang AHA 2008

Page 11: Virtual Histology:From Theory to Vulnerable Plaque Detection

Plaque Classification

1. “ Adaptive Intimal Thickening ”Plaque comprised of nearly allfibrous tissue (<5% of fibrofatty,calcification and/or NC plaque).

2. Pathological Intimal Thickening” –Mainly mixture of fibrous, fibrofatty(>5%), and necrotic core and somecalcified tissue <5%.

Page 12: Virtual Histology:From Theory to Vulnerable Plaque Detection

Plaque Classification“Fibro-Atheroma” – Fibrotic cap and significantNecrotic Core (confluent NC >5% of total plaquevolume) in fibrotic and/or fibrofatty tissue

It will very likely be that the most important goal is todifferentiate the FibroAtheroma plaque types from theother three plaque types during assessments of highrisk lesions for rupture.

Page 13: Virtual Histology:From Theory to Vulnerable Plaque Detection

Definition of thin-cap fibroatheroma (TCFA) by VH-IVUS

In at least 3 consecutive frames,(1)Percent Necrotic Core area to plaque area> 10%without evident overlying fibrous component(2)Percent plaque area to vessel area > 40%

Rodriguez-Granillo et al. J Am Coll Cardiol ,2005; 46:2038-42

Page 14: Virtual Histology:From Theory to Vulnerable Plaque Detection

Not only volume of NC, but also extent of NC contact with lumen are important.

Measurement of angle of NC contact with lumen (NCCL) wasperformed by a MATLABTM at Thoraxcenter, Erasmus MC, byDr. Garcia-Garcia HM.

Overall NC 31.1%Blue area;major NCCL, 28.3%purple plus blue areaTotal NCCL, 30.5%

Red line;angle of the major NCCL, 9°White and red line;angle of the total NCCL, 35°

Sawada T, Shite J et al Eur Heart J 2008; 29:1136-46

Page 15: Virtual Histology:From Theory to Vulnerable Plaque Detection

By necrotic core angle contact with lumen,VH-IVUS may estimate thin fibrous cap.However, IVUS can not visualize surface

fibrous cap due to limited resolution >100μm.

Page 16: Virtual Histology:From Theory to Vulnerable Plaque Detection

Thin-Cap FibroAtheroma (TCFA)

Courtesy of Renu Virmani

Page 17: Virtual Histology:From Theory to Vulnerable Plaque Detection

VH is entirely dependent on drawing accurate borders

Page 18: Virtual Histology:From Theory to Vulnerable Plaque Detection

Is VH-TCFA really vulnerable?

Page 19: Virtual Histology:From Theory to Vulnerable Plaque Detection

Recent MI Culprit lesion

Distal

Prox

Page 20: Virtual Histology:From Theory to Vulnerable Plaque Detection

Acute Plaque Rupture79 years old maleUnstable, DM (type II), hypertension, lipid disorder, prior MIVH IVUS; TCFA with three layers

Page 21: Virtual Histology:From Theory to Vulnerable Plaque Detection

52-yo Male with Abn Nuc Scan (DB)

Page 22: Virtual Histology:From Theory to Vulnerable Plaque Detection

Pre-interventionPost-intervention(Peak CK-MB releasemeasured 21.2 ng/ml)

Page 23: Virtual Histology:From Theory to Vulnerable Plaque Detection

Global VH-IVUS Registry

Page 24: Virtual Histology:From Theory to Vulnerable Plaque Detection

Serial VH Evaluation

Page 25: Virtual Histology:From Theory to Vulnerable Plaque Detection

Case ExamplesBaseline

TCFA TCFA TCFA PIT

Follow-upThCFA Fibrotic TCFA TCFA

Page 26: Virtual Histology:From Theory to Vulnerable Plaque Detection

Changes of plaque morphology

TCFA n=20

ThCFA n=93

PITn=62

65%10%

25%

90%

3%1%6%

71%

10%

Fibrotic/fibrocalcific plaques did not change.

Kubo T, JACC in press

Page 27: Virtual Histology:From Theory to Vulnerable Plaque Detection

Changes at MLA site

Plaque Area Lumen Area

Page 28: Virtual Histology:From Theory to Vulnerable Plaque Detection

Serial VH in Patients After Stenting:DES vs BMS

Kubo ACC2008

Page 29: Virtual Histology:From Theory to Vulnerable Plaque Detection

Serial VH of DESBaseline Follow-up

Stented segment

Reference segment

Page 30: Virtual Histology:From Theory to Vulnerable Plaque Detection

Serial VH of BMSBaseline Follow-up

Stented segment

Reference segment

Page 31: Virtual Histology:From Theory to Vulnerable Plaque Detection

Abutting Necrotic Core to the Lumen

* p<0.05Kubo ACC2008

Page 32: Virtual Histology:From Theory to Vulnerable Plaque Detection

The PROSPECT Trial700 pts with ACS

UA (with ECGΔ) or NSTEMI or STEMI >24o

1-2 vessel CAD undergoing PCIat up to 40 sites in U.S., Europe

PCI of culprit lesion(s)Successful and uncomplicated

Metabolic S.• Waist circum• Fast lipids• Fast glu• HgbA1C• Fast insulin• Creatinine

Biomarkers• Hs CRP• IL-6• sCD40L• MPO• TNFα• MMP9• Lp-PLA2• others

Formally enrolled

PI: Gregg W. StoneSponsor: Abbott Vascular; Partner: Volcano

Page 33: Virtual Histology:From Theory to Vulnerable Plaque Detection

3-vessel imaging post PCICulprit artery, followed by

non-culprit arteries

Page 34: Virtual Histology:From Theory to Vulnerable Plaque Detection

3-vessel imaging post PCICulprit artery, followed by

non-culprit arteries

Page 35: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT MethodologyIVUS/VH Core Lab Analysis

Lesions are classified into 5 main sub-typesbased on VH composition

Page 36: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Acute MI

Page 37: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Acute MI

Page 38: Virtual Histology:From Theory to Vulnerable Plaque Detection
Page 39: Virtual Histology:From Theory to Vulnerable Plaque Detection

MLA: 6.1 mm2

Page 40: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Baseline FeaturesN = 697

Page 41: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Imaging SummaryLength of coronary arteries analyzed

Page 42: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Imaging SummaryNon culprit angio and IVUS lesions

(LM, P/MLAD, PLCX and P/M/DRCA only)

Page 43: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Imaging SummaryNon culprit angio and IVUS lesions

(LM, P/MLAD, PLCX and P/M/DRCA only)

Page 44: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Imaging SummaryPer pt incidence of

IVUS lesions with MLA <4.0 mm2

Page 45: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Imaging SummaryPresence of ≥1 VH lesion

subtypes (2765 lesions in 614 pts)

Page 46: Virtual Histology:From Theory to Vulnerable Plaque Detection

PROSPECT: Imaging Summary

Per patient incidence of VH-TCFAs

Page 47: Virtual Histology:From Theory to Vulnerable Plaque Detection

Longitudinal sections from 50 autopsy pts10.9 meters examined from 148 coronary arteries

44% of pts had ≥1 TCFA (range 0 - 6)Mean 0.46 TCFAs/pt

(0.55 vs. 0.38 in pts dying of CV ds. vs. other)- 1.21/pt in hearts with ruptured plaques -

Cheruvu PK et al. JACC 2007;50:940–9