budapest, 2017 - puzzlepix · 2017. 12. 7. · fibroadenoma tes 3 sr 2.54. tes 5/sr 8.53 ca...
TRANSCRIPT
-
Budapest, 2017.
-
Introduction
� The main purpose of all diagnostic methods is early breast cancer detection
� However, considering higher incidence of benign lesions comparing to malignant,
� there is a great importance of noninvasive detection of Benign Breast Diseases (BBD), since most of the benign lesions have not malignant potential
-
“Triple assessment”
3. Biopsy
2. Imaging
1. Clinical breast exam
Overdiagnosed!?
ELASTOGRAPHY
-
Elastography-definition
� Sonoelastography is noninvasive, complementary, diagnostic technique that directly reveals soft tissue elasticity.
� Elasticity assessment:
� qualitative (Tsukuba elasticity score-TES)
� semiquantitative evaluation (strain ratio between fat and lesion, SR).
*Sensitivity 86.5% - 96.9%Specificity 76% -89.8%
Accuracy 88.3%
*Faruk T. Clin Breast Cancer, 2015.
-
Ueno staging-Tsukuba score (TES)
Elastography-quantitative evaluation
A
B
-
Objective
� To detect diagnostic performance of the combined use of sonoelastographic scoring and strain ratio in differentiation of benign and malignant breast lesions
� and compare it with conventional sonography
� with the histopathology as the standard reference
-
Method
� A total of 128 breast lesions (73 malignant and 55 benign) in 125 women (mean age 54 years, range 21-84 yrs) were enrolled in one year prospective study that was conducted in Clinical Center “Bezanijska kosa” in Belgrade.
Minimum Maximum Medijana X SD
Age 21 84 57 54.79 14.71
-
�Conventional US and sonoelastography were performed.
�B-mode images were classified according to the Breast Imaging Recording and Data System.
�The hardness was determined with 5-point scoring method (Ueno classification) and SR of the lesions were calculated by dividing the strain value of the subcutaneous fat by that of the mass.
�Receiver operating characteristic (ROC) curves were performed and the cutoff point for differentiation of benign and malignant masses was detected.
Method
-
Final pathological diagnosis
Nonproliferative lesions
Proliferative lesions without atypia
Proliferative lesions with atypia
Malignant lesions
-
BI
RA
DS
clas
sifi
cati
on
benign malignant total
2 5 0 5
9.1% 0.0% 3.9%
3 7 0 7
12.7% 0.0% 5.5%
4 42 16 58
76.4% 21.9% 45.3%
5 1 57 58
1.8% 78.1% 45.3%
55 73 128
100,0% 100,0% 100,0%
BI RADS scores of benign and malignant breast lesions
Cut-off value benign vs. malignant4
p
-
Benign Malignant Total
TES
benigni/maligni
TES 1, 2, 3 34 (92%) 3 37
TES 4, 5 21 70 (77%) 91
55 73 128
Pathological diagnosis
Elasticity score TES
1 2 3 4 5 total
benign 4 (7.3%)
7 (12.7%)
23 (41.8%)
13 (23.6%)
8 (14.5%)
55
malignant 0 1 (1.4%)
2(2.7%)
14 (19.2%)
56 (76.7%)
73
total 128
p
-
Elastography-TES
“cut-off” value benign/malignant– 4Sensitiivity 95% and specificity 61.8%
TES for benign lesions 3.25TES for malignant lesions 4.71
p
-
TES can predict certain type of benign lesions!
Xsr SD min Max median
Nonproliferative
lesions
3.25 1.09 1 5 3
Proliferative lesions
without atypia
3.06 0.80 2 4 3
Proliferative lesions
with atypia
4 4 4 4
-
“cut-off” value - 4.27Sensitivity 97,3%, Specificity 55.6%
Benign lesions 9Malignant lesions 24p
-
ROC curve for TES and SR
AUC p CI 95%
TES 0.866 < 0.001 0.797-0.934
SR 0.820 0.742-0.898
TES and SR 0.874 0.807-0.941
-
ROC curve for B-mode ultrasound and TES
AUC p CI 95%
TES 0.866 < 0.001 0.797-0.934
US 0.905 0.853-0.958
TES and US 0.949 0.912-0.987
-
TES 1
LIPOMA
-
TES 2
Cysta mammae
-
Fibroadenoma
TES 3SR 2.54
-
TES 5/SR 8.53Ca mucinosum
TES 3/SR 5.11Ca mucinosum
-
TES 4 / SR 29.75
Malignant tumor
-
TES 5 / SR 19.40
Malignant tumor
-
“BGR” artefact
Cysta mammae
-
�The combined use of elasticity score and strain ratio of sonoelastography increased the diagnostic performance in distinguishing benign from malignant breast masses, but combination of sonography and TES had better diagnostic performance.
�Sonoelastography has demonstrated to be a promising, complementary, noninvasive technique to detect and evaluate breast lesions, and could potentially reduce the number of unnecessary biopsies.
�……But it needs optimizations in technique, “cut off” values, coding system, analyzing the effect of depth of the lesion and other parameters that can make influence to elastography exam, etc…
CONCLUSION