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Non-invasive breast tumour grading using ultrasound frequency- dependent backscatter analysis Hadi Tadayyon June 11, 2012

Hadi Tadayyon June 11, 2012. Clinical challenge ◦ High risk for metastasis Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

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Page 1: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Non-invasive breast tumour grading using ultrasound

frequency-dependent backscatter analysis

Hadi TadayyonJune 11, 2012

Page 2: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Clinical challenge

◦ High risk for metastasis

Characterized as:◦ > 5 cm long axis◦ Skin/chest wall involvement◦ Lymph node involvement

Tumour grade – a histological feature that is a prognostic

indicator and is important for treatment design

◦ Determined from pathological examination of biopsy sample

◦ Higher grade higher degree of malignancy / poorer prognosis

Our goal: ultrasonically detect variation in tumour grades

Locally advanced breast cancer (LABC)

Page 3: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Midband fit, slope, and intercept used to differentiate:◦ Prostate cancer from benign tumours1

◦ Metastic from non-metastatic lymph nodes2

Acoustic scatterer spacing used to characterize breast lesions as benign or malignant3

Quantitative ultrasound characterization of cancers

1. Feleppa et al., 2004 IEEE Trans UFFC, 43(4), 609-619, (1996)2. Mamou et al., Ultrasound in Med. & Biol., 37(3), 345–357, (2011)3. Y. Bige et al., Ultrasonics 44 , 211–215, (2006)

Page 4: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Can LABC tumours be characterized in terms of

grade using quantitative ultrasound?

Given:

◦ Retrospective in-vivo clinical breast data (N=43)

◦ A diagnostic ultrasound machine

Research Question

Page 5: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Methods: data collection and classification

Tumour ROI

1 cm

Normal breast ROI

QUSMidband fit (MBF)

Slope (SS)Intercept (SI)

Scatterer spacing (SAS)

GI (N=3)

GII (N = 22)

GIII(N = 18)

10 MHz fc linear array transducer (Ultrasonix, Canada) 4-7 cm depth 5 MHz 50% bandwidth

Normal tissue ROI

Page 6: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Methods: Spectral analysis

Depth-dependent spectral normalization (reference phantom)

Variable bandwidth linear regression

Discrete depth spectral normalization (reference reflector)

Auto-regressive (AR) spectral estimation and autocorrelation-derived scatterer spacing

Page 7: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Results: QUS distributions among tumour grades

Mann-Whitney test: p = 0.032

Page 8: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Results: parametric images of scatterer spacing

GI GII GIIINT

0

0.5

SA

S (m

m)

10 um

1 cm

Page 9: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

The link of scatterer spacing to biology

Mean spacing between glandular islands = 200 um

100 um

Page 10: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

A potential method to non-invasively characterize tumour

grade was proposed

Scatterer spacing statistically different among tumour grades

(ANOVA test & Mann-Whitney test)

Scatterer spacing is linked to spacing between glandular

islands

Small sample size for GI

◦ In large population study – 362/1409 = 25%

◦ In our study, 3/43 = 7%

Cannot evaluate classification due to insufficient parameters

Future directions: investigate other QUS parameters

Discussion & conclusion

Page 11: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Acknowledgments

Czarnota Lab, University of Toronto• Dr. Czarnota• Dr. Omar Falou• Mike Papanicolau• Sara Iradji• Ervis Sofroni

Ryerson University• Dr. Lauren Wirtzfeld

University of Illinois• Dr. Michael Oelze

CGSD

Page 12: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph

Tumour grade

Increasing risk of metastasis

Grade I Grade II Grade III

Total score 3-5 6-7 8-9

Page 13: Hadi Tadayyon June 11, 2012.  Clinical challenge ◦ High risk for metastasis  Characterized as: ◦ > 5 cm long axis ◦ Skin/chest wall involvement ◦ Lymph