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Breast Imaging: Radiologic Pathologic Correlation

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Title: Breast Imaging: Radiologic Pathologic Correlation


1
Breast Imaging Radiologic Pathologic Correlation
Mitchell Schnall MD, PhD Professor of
Radiology University of Pennsylvania Network
Chair ACRIN
2
Rad / Path Correlation
  • Careful collaboration between radiology and
    pathology
  • Cooperation of surgeon
  • Method to index lesions/findings

3
Image analysis Turning an image into data
  • User extracted qualitative features
  • User extracted quantitative features
  • Semi automated
  • Automated

Feature 1 Feature 2 Feature 3 . . .
4
Abnormal enhancement descriptors
  • focus
  • mass
  • non-mass

E. Morris, MSKCC
5

Invasive Ductal Carcinoma Irregular/Spiculated
6
FOCAL MASS ROUND/IRREGULAR/Rim Enhancing
7
Ductal Enhancement DCIS
8
Associated DCIS
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Fibroadenoma Internal Septations
12
Fibroadenoma
13
Fibroadenoma
Post-Contrast
T2
Central component is glandular, bright T2, and
enhances Peripheral component is hyalinized, low
T2 and does not enhance
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18
Multivariate model for Focal Mass
Model ROC Area Forward model 0.873 (0.871 to
0.875) Backward model 0.880 (0.877 to 0.884).
19
Image meta-dataStandard Structure and Data
Elements
Patient level data
Image Exam level data
Image Finding level data
Time
20
Modality 1 Time 1
Modality 2 Time 1
M1 Finding 2 Lesion 2
M1 Finding 1 Lesion 1
M2 Finding 2 Lesion 3
  • M2 Finding 1
  • Lesion 1
  • Size
  • Shape
  • Location
  • Intensity
  • etc

Modality 1 Time 2
Path Lab Micro Proteomics
21
PET association with Receptor Status
 
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Triple Neg
Non Triple Neg
25
Triple Neg
Non Triple Neg
26
Multimodaliy triple negative phenotype
 
 
 
  • No spiculations on mammography
  • No calcs on mammography
  • Heterogeneous enhancement on MRI
  • Well circumscribed on ultrasound
  • Rim enhancement on MRI
  • Elevated SUV on PET

 
 
 
27
Not Triple Negative Cancer
Triple Negative (Basal) Cancer
28
Not Triple Negative Cancer
Triple Negative (Basal) Cancer
29
Efficacy of MRI and Mammography for Breast-Cancer
Screening in Women with a Familial or Genetic
Predisposition
Kriege et al, NEJM 351, 2004 p.427
  • 1909 women, 50 breast cancers detected, 45
    Cancers detected by screening, 32 seen by MRI, 18
    detected by mammography. (ROC analysis Plt0.5)
  • 13 cancers missed by MRI (8 seen on mammography)

30
Ca
No Ca
31
Interval cancer presentation
11/07
5/07
3/08
32
Collaborators
  • Emily Conant
  • Susan Weinstein
  • Susan Orel
  • Abass Alavi
  • Mark Rosen
  • Sara Englander
  • Larry Dougherty
  • Hee Kwon Song
  • Joel Karp
  • Sandy Seghal

Andrew Maidment et al John Tomaszewski Mike
Feldman Ray Boston Peter Moate Brian
Czernicki Susan Domchek Angie DeMichele Marcia
Boraas Sandy Schwartz
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