A comparative study of strain elastography (se) and shear wave elastography (swe) in female breast tumor disease at medic medical center in HCMC in 2019

Dr Jasmine Thanh Xuân1,, Dr Phan Thanh Hai2
1 Medic Medical Centrel
2 Medic Medical Central

Main Article Content

Abstract

Objective: Combining B-mode US, BI-RADS classification and applying 2 types of elastography: Strain Elastography (SE) and Shear Wave Elastography (SWE) on RS85 ultrasound scanner (Samsung) in diagnosis of benign/ malignant breast tumors. Detecting diagnostic value for each method and when combining them.
Materials and methods: Selecting female breast tumors that classified Birads 3,4,5 by B-mode US, examining elastography at the same time by 2 methods: SE and SWE using L2-9MHz probe on RS85 ultrasound scanner (Samsung) from August to October, 2019 at Medic Medical Center in HCMC. Collecting data of 2 types of Elastography:
- SE: collecting 3 values: (1) color mapped elastogram according to Tsukuba elasticity score, (2) E/B ratio (the largest transversal diameter that hardest color - coded on the color map / the largest transversal diameter of tumor on B-mode US) (<1 or >1), (3) ratio B/A (A= tumor lesion, B= normal fat tissue above the lesion).
- SWE: measuring the tissue stiffness (kPa) and shear wave velocity (m/s) (according to color-coded tumor stiffness map, selecting the hardest point that satisfied RMI (reability measurment index) ≥ 0.4. Measuring each method 3 times on the same tumor. Bi-rads 3-4-5 lesions undergone biopsy (FNAC and/ or core biopsy) to have determined diagnosis. Then calculating the diagnostic value of each method and when combining the 2 methods. Using the SPSS 20 software for statistics and analyzing.
Results: The study has 84 breast tumors (51 benign and 33 malignant) that have determined diagnosis by cytology and histology.


1. Strain Elastography value:
1.1. Choosing color map according to Tsukuba elasticity score from 1→5 in diagnosis has sensitivity (90%), specificity (88.2%), positive predictive value (83%), negative predictive value (93.8%), accuracy (8.3%)
1.2. Choosing the E/B ratio (the largest transversal diameter that hardest color - coded on the color map / the largest transversal diameter of tumor on B-mode US) value (that <1 suspected benign tumor and ≥ 1 suspected malignancy) has sensitivity (87%), specificity (90.2%), positive predictive value (85.3%), negative predictive value (92%), accuracy (89.3%)


1.3. The ratio of mean strain elastography value of malignant and benign breast tumor / fat tissue are (8.1+/- 3.7) and (2.4+/-1.3) (p<0,001).The ratio at cut-off value (3.2) has the highest sensitivity (97%) and specificity (84.3%) in diagnosing malignant breast tumors. Area under the ROC curve calculated (0.969). Positive predictive value (80%). Accuracy (89.3%).
2. Shear wave elastography (SWE) value:
2.1. Shear wave mean velocity of benign and malignant tumor groups are (3.9 ± 1.1) and (5.9 ± 1.3) (m/s) (p<0,001). Mean ratio at the cut-off value (4.2m/s) has the highest sensitivity (90.9%) and specificity (66.7%) in diagnosing malignant breast tumors. Area under the ROC curve calculated (0.873).Positive predictive value (63.8%). Negative predictive value (91.8%). Accuracy (76.2%).
2.2. Mean stiffness value of benign and malignant breast tumor groups are (49.7 ± 28.2) and (108±4.5) (kPa) (p<0,001). Mean ratio at the cut-off value (50.3 kPa) has sensitivity (90.9%), specificity (66.7%). Area under the ROC curve calculated (0.864), positive predictive value (61.2%), negative predictive value (91.4%), accuracy (73.8%)
3. Combination of SE and SWE value Combining the 2 types of elastography SE and SWE in diagnosing breast tumor by evaluating E/B of SE and shear wave velocity (m/s) of SWE increases the strongly sensitivity (100%), specificity (52,9%) and positive predictive value (57,9%), negative predictive value (100%), accuracy (71,4%), helps to reduce unnecessary biopsied cases.
Conclusions: SE and SWE are useful in diagnosing breast tumor. Combining the 2 types of elastography SE and SWE have strongly sensitivity, helps to reduce unnecessary biopsied cases

Article Details

References

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