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Threedimensional ultrasound for the assessment of breast lesions

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Title: Threedimensional ultrasound for the assessment of breast lesions


1
Three-dimensional ultrasound for the assessment
of breast lesions
  • D. O. WATERMANN, M. FO LDI, A. HANJALIC-BECK, A.
    HASENBURG, A. LU GHAUSEN, H. PRO MPELER, G.
    GITSCH and E. STICKELER
  • Freiburg University Medical Center, Obstetrics
    and Gynecology, Freiburg, Germany
  • Ultrasound Obstet Gynecol 2005

Reporter Chia-Chia Hsu
2
Outline
  • Introduction
  • Methods
  • Results
  • Conclusions

3
Introduction
  • To evaluate the diagnostic accuracy of three
    dimensional (3D) ultrasound in comparison with
    conventional two-dimensional (2D) ultrasound in
    the characterization of breast lesions.

4
Methods
  • Patients
  • 100 breast lesions (57 malignant, 43 benign)

5
Imaging analysis
  • Ultrasound criteria for analysis (Table 2)
  • 2D US 10 criteria
  • 3D US 13 criteria

6
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7
Ultrasound criteria (Sagittal)
  • Shape
  • Orientation
  • Echogenicity
  • Echo pattern
  • Hyperechogenic spots
  • Margin contour
  • Margin
  • Lesion boundary
  • Posterior acoustic features
  • Surrounding tissue

8
Ultrasound criteria (Coronal)
  • Retraction
  • Margin contour
  • Margin

9
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10
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11
Imaging analysis (cont.)
  • BI-RADS (Breast Imaging Reporting and Data
    System)
  • Category 1 normal breast imaging without finding
  • Category 2 lesion very likely to be benign
  • Category 3 lesion unlikely to be malignant
  • Category 4 suspicious lesions with a
    moderate-to-high probability of being malignant
  • Category 5 reserved for tumors
  • Benign class (categories 2 and 3)
  • Malignant class (categories 4 and 5)

12
Data management and statistics
  • Spearmans rank correlation coefficients (r)
  • To assess the relationship between the different
    ultrasound characteristics.
  • kappa (?)
  • To compare the relationship between 2D and 3D
    ultrasound Characteristics.
  • The ability of ultrasound criteria to determine
    the histological character of a lesion was
    analyzed by the Chi-square test and expressed as
    odds ratio (OR) with 95 CI.
  • P-value
  • P lt 0.05 was considered statistically
    significant.
  • Performed binary logistic-regression analyses
    with the investigated ultrasound criteria as
    independent variables.
  • ROC curves
  • were constructed to obtain an index for the
    diagnostic accuracy of 2D and 3D ultrasound.

13
Results
  • 6 investigators analyzed independently 2D and 3D
    ultrasound images of 100 breast lesions.
  • 10 2D and 13 3D ultrasound criteria were
    determined.
  • The lesions categorized into 4 classes according
    to a modified BI-RADS classification system.

14
Results (cont.)
  • Correlation between ultrasound criteria
  • The relationship between the investigated
    ultrasound criteria is shown in Table 3.
  • Comparison between 2D and 3D ultrasound criteria.
  • criteria indicating malignancy were more often
    described in 3D than in 2D ultrasound.

15
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16
Evaluation of 2D and 3D ultrasound criteria for
lesion characterization
  • Most of the criteria were highly significant in
    characterizing breast lesions (P 0.001).
  • Only hyperechogenic spots were not significant
    and did not contribute to lesion characterization
    in 2D or 3D ultrasound.
  • In 2D
  • surrounding tissue, shape, margin contour, lesion
    boundary and posterior acoustic features
  • In 3D
  • the retraction criterion in the coronal plane
  • the orientation, margin, margin contour and
    surrounding tissue criteria in the sagittal plane

17
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18
Value of the coronal plane in 3D ultrasound
  • The coronal plane is unique to the 3D technique.
  • The retraction phenomenon
  • Expression of margin contour and margin in the
    coronal plane.
  • Be independent and significant factors.
  • Had a high specificity(94.6) but a low
    sensitivity (54.7), with an accuracy to
    determine malignant and benign lesions of 71.8.
  • The false-positive rate was 7.0 and the
    false-negative rate 38.8.

19
Value of the coronal plane in 3D ultrasound
  • The indistinct margin feature
  • Did not significantly differ between the coronal
    plane and conventional planes.
  • An irregular or spiculate margin contour
  • was more frequently observed in the coronal plane
    than in the conventional planes.
  • This feature had a high sensitivity (95.0), a
    low specificity (46.9) and an accuracy of 66.2
    to classify a malignant breast lesion.

20
Comparison of the diagnostic value of 2D and 3D
ultrasound
  • 2D 0.846
  • 3D 0.851

21
Conclusions
  • Ultrasound features on 3D US differ significantly
    from those on 2D US.
  • The diagnostic accuracy of both methods is almost
    identical.
  • 3D US as an adjunct to conventional 2D US should
    be evaluated in larger trials to determine its
    clinical value in breast imaging.
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