journal article·2020-10-04Open access

Diagnostic Value of Different Risk-Stratification Algorithms in Solid Breast Lesions

Ivana Eremici, Catalin Dumitru, Dan Navolan, Marius Craina, Viviana Ivan, Florin Borcan, Cristina Adriana Dehelean, Ioana Mozos, Dana Stoian

Applied Sciences· Volume 10· Issue 19

Abstract

In the past few years, elastography has gained ground as a complementary method to ultrasonography in noninvasive breast cancer screening. Despite positive outcomes, there is a further need to refine the method, especially regarding BIRADS scores 3 and 4A, where the distinction between benignancy and malignancy is established. The aim of the present study was to evaluate the best risk-stratification system using both qualitative and semiquantitative elastographic methods for solid breast nodules. A total of 1405 solid nodules, described in 657 female patients, were examined in our endocrine unit between January 2018 and December 2019. The inclusion criterion for our retrospective study was the presence of any solid breast mass in women of all ages (mean, 40.85 ± SD 27.11), detected during ultrasound examination using a HITACHI PREIRUS machine (Hitachi Medical Corporation, Tokyo, Japan). The Breast Imaging Reporting and Data System (BIRADS)–US criteria were used in the assessment of each nodule by conventional US (gray-scale mode) and Doppler evaluation. The Ueno score and strain ratio were also measured for all the described lesions. We considered multiple algorithms for the risk reassessment of solid breast nodules: classical BIRADS–US, EFSUMB BIRADS, worst-case scenario BIRADS and BIRADS TM. There were 93 malignant nodules out of 1405. The diagnosis was based on histopathological results for all the malignant lesions. Benign lesions were diagnosed based on histopathological results, Tru-Cut biopsy, mammography and MRI. The Sensitivity (Se), Specificity (Sp), Positive Predictive Value (PPV), Negative Predictive Value (NPV) and Accuracy (Acc) were obtained for all the proposed risk-stratification reporting systems: conventional BIRADS-US (Se, 74.23%; Sp, 63.95%; PPV, 13.53%; NPV, 97.79%; Acc, 65%); EFSUMB BIRADS (Se, 71.23%; Sp, 81.55%; PPV, 22.68%; NPV, 97.99%; Acc, 81%); worst-case scenario BIRADS (Se, 84.23%; Sp, 58.23%; PPV, 13.29%; NPV, 98.84%; Acc, 60%); BIRADS TM (Se, 81.23%; Sp, 75.84%; PPV, 20.35%; NPV, 98.81%; Acc, 77%). We found that the most efficient risk-stratification reporting system was the proposed one, BIRADS TM, which considers both upgrading and downgrading the conventional BIRADS-US, followed by the worst-case scenario BIRADS and EFSUMB BIRADS.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Ultrasound Imaging and Elastography · Photoacoustic and Ultrasonic Imaging · AI in cancer detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Internal Medicine 2nd Department, Victor Babes University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania

Obstetrics and Gynecology Department, Victor Babes University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania

Analytical Chemistry Department, Victor Babes University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania

Toxicology Department, Victor Babes” University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania

Functional Science Department, Victor Babes University of Medicine and Pharmacy Timisoara, 2nd Eftimie Murgu Square, 300041 Timisoara, Romania

References (39)

Show source-provided references
1. World Health Organization (2020, June 24). Breast Cancer. Available online: https://www.who.int/cancer/prevention/diagnosis-screening/breast-cancer/en/.
2. Mammography in combination with breast ultrasonography versus mammography for breast cancer screening in women at average risk
3. Ultrasound for breast cancer detection globally: A systematic review and meta-analysis
4. Mammography and subsequent whole-breast sonography of nonpalpable breast cancers: The importance of radiologic breast density10.2214/ajr.180.6.1801675 ↗
5. Ultrasound as an adjunct to mammography for breast cancer screening: A health technology assessment
6. Ultrasound is now better than mammography for the detection of invasive breast cancer10.1016/j.amjsurg.2004.06.032 ↗
7. How to optimize breast ultrasound10.1016/j.ejrad.2008.07.034 ↗
8. The Japanese breast cancer society clinical practice guideline for screening and imaging diagnosis of breast cancer10.1007/s12282-014-0557-8 ↗
9. Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan strategic anti-cancer randomized trial (J-START): A randomised controlled trial10.1016/S0140-6736(15)00774-6 ↗
10. Nothacker, M., Duda, V., Hahn, M., Warm, M., Degenhardt, F., Madjar, H., and Albert, U.S. (2009). Early detection of breast cancer: Benefits and risks of supplemental breast ultrasound in asymptomatic women with mammographically dense breast tissue. A systematic review. BMC Cancer, 9.10.1186/1471-2407-9-335 ↗
11. The role of ultrasographic elastography in the differential diagnosis of breast masses and its contribution to classical ultrasonographic evaluation10.5152/tjbh.2014.2024 ↗
12. Value of highresolution compression elastography and color doppler sonography in characterisation of breast lesions: Comparison of different high-frequency transducers10.3233/CH-141824 ↗
13. The role of breast ultrasound in early cancer detection10.1016/j.jmu.2016.10.001 ↗
14. A prospective study to compare the diagnostic performance of breast elastography versus conventional breast ultrasound10.1016/j.crad.2010.06.008 ↗
15. Interobserver variability of ultrasound elastography: How it affects the diagnosis of breast lesions10.2214/AJR.10.4654 ↗
16. Performance of 4 years of population-based mammography screening for breast cancer combined with ultrasound in Tyrol/Austria10.1007/s00508-017-1293-9 ↗
17. Buchberger, W., Niehoff, A., Obrist, P., DeKoekkoek-Doll, P., and Dünser, M. (2000). Clinically and mammographically occult breast lesions: Detection and classification with high-resolution sonography. Seminars in Ultrasound, CT and MRI, WB Saunders.10.1016/S0887-2171(00)90027-1 ↗
18. Using real-time tissue elastography for breast lesion evaluation: Our initial experience10.7863/jum.2010.29.4.551 ↗
19. Qualitative strain elastography—Strain ratio evaluation—An important tool in breast cancer diagnostic10.11152/mu.2013.2066.182.bcd ↗
20. Differential diagnosis of breast lesions using ultrasound elastography10.4103/0971-3026.90697 ↗
21. Update on screening breast ultrasonography10.1016/j.rcl.2013.12.003 ↗
22. Large-core needle biopsy of nonpalpable breast lesions10.1001/jama.281.17.1638 ↗
23. D’Orsi, C.J., Sickles, E.A., Mendelson, E.B., and Morris, E.A. (2013). American College of Radiology. Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas), American College of Radiology.
24. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 2: Breast10.1016/j.ultrasmedbio.2015.03.008 ↗
25. Sonoelastographic strain index for differentiation of benign and malignant nonpalpable breast masses10.7863/jum.2010.29.1.1 ↗
26. The lobar approach to breast ultrasound imaging and surgery10.1007/s10396-015-0625-5 ↗
27. D’Orsi, C.J., Sickles, E.A., Mendelson, E.B., and Morris, E.A. (2013). Mammography, ultrasound, magnetic resonance imaging, follow-up and outcome monitoring. ACR BI-RADS Atlas: Breast Imaging Reporting and Data System, Data Dictionary; American College of Radiology.
28. Ultrasound elastography as an adjuvant to conventional ultrasound in the preoperative assessment of axillary lymph nodes in suspected breast cancer: A pilot study10.1016/j.crad.2011.05.015 ↗
29. Real-time ultrasound elastography: Its potential role in assessment of breast lesions10.1016/j.ultrasmedbio.2008.01.004 ↗
30. Accuracy of quantitative ultrasound elastography for differentiation of malignant and benign breast abnormalities: A meta-analysis10.1007/s10549-012-2020-x ↗
31. Breast elastography: A literature review10.1016/j.jus.2012.06.009 ↗
32. Breast disease: Clinical application of US elastography for diagnosis10.1148/radiol.2391041676 ↗
33. Ultrasound elastography: Review of techniques and clinical applications10.7150/thno.18650 ↗
34. Semi-quantitative and qualitative assessment of breast ultrasound elastography in differentiating between malignant and benign lesions10.1016/j.ultrasmedbio.2012.10.016 ↗
35. Comparison of qualitative and semiquantitative strain elastography in breast lesions for diagnostic accuracy10.1186/s40644-016-0070-8 ↗
36. EFSUMB guidelines and recommendations on the clinical use of ultrasound elastography. Part 1: Basic principles and technology
37. Classic ductal sonographic criteria versus real time elastography criteria in diagnosing nodular breast lesions
38. Clinical application of breast elastography: State of the art10.1016/j.ejrad.2013.05.007 ↗
39. A role for elastography in the diagnosis of breast lesions by measuring the maximum fat lesion ratio (max-FLR) by tissue Doppler imaging10.1007/s12282-011-0274-5 ↗