Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography
- PMID: 25218763
- DOI: 10.1007/s00330-014-3415-3
Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography
Abstract
Purpose: To demonstrate the use of a new 3D diagnostic imaging technology, termed Multimodal Ultrasonic Tomography (MUT), for the detection of solid breast lesions < 15 mm in maximum dimension.
Methods and materials: 3D MUT imaging was performed on 71 volunteers presenting BIRADS-4 nodules, asymmetrical densities, and architectural distortions in X-ray mammograms, who subsequently underwent biopsy. MUT involved D tomographic imaging of the pendulant breast in a water bath using transmission ultrasound and constructed multimodal images corresponding to refractivity and frequency-dependent attenuation (calibrated relative to water). The multimodal images were fused into composite images and a composite index (CI) was calculated and used for diagnostic purposes. The composite images were evaluated against results of histopathology on biopsy specimens.
Results: Histopathology revealed 22 malignant and 49 benign lesions. The pixels of 22 malignant lesions exhibited high values in both refractivity and attenuation, resulting in CI values > 1. In contrast, 99.9% of benign lesions and normal tissue pixels exhibited lower values of at least one of the attributes measured, corresponding to CI values < 1.
Conclusions: MUT imaging appears to differentiate small malignant solid breast lesions as exhibiting CI values >1, while benign lesions or normal breast tissues exhibit CI values <1.
Key points: • MUT was able to detect all 22 biopsy-confirmed malignant lesions. • MUT was able to differentiate the malignant from the benign lesions. • Additional MUT detections outside the biopsy area must be evaluated prospectively.
Similar articles
-
Novel technology of multimodal ultrasound tomography detects breast lesions.Eur Radiol. 2013 Mar;23(3):673-83. doi: 10.1007/s00330-012-2659-z. Epub 2012 Sep 16. Eur Radiol. 2013. PMID: 22983317
-
Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis.Eur Radiol. 2018 Jun;28(6):2499-2506. doi: 10.1007/s00330-017-5235-8. Epub 2018 Jan 4. Eur Radiol. 2018. PMID: 29302784
-
Six-year prospective evaluation of second-look US with volume navigation for MRI-detected additional breast lesions.Eur Radiol. 2019 Apr;29(4):1799-1808. doi: 10.1007/s00330-018-5765-8. Epub 2018 Oct 15. Eur Radiol. 2019. PMID: 30324386
-
Multimodal Ultrasound Imaging in the Diagnosis of Primary Giant Cell Tumor of the Breast: A Case Report and Literature Review.J Clin Ultrasound. 2025 May;53(4):885-892. doi: 10.1002/jcu.23902. Epub 2024 Dec 9. J Clin Ultrasound. 2025. PMID: 39653506 Review.
-
Multimodality imaging review of breast vascular lesions.Clin Radiol. 2022 Apr;77(4):255-263. doi: 10.1016/j.crad.2021.11.014. Epub 2021 Dec 25. Clin Radiol. 2022. PMID: 34961615 Review.
Cited by
-
Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?Eur Radiol. 2018 Aug;28(8):3165-3175. doi: 10.1007/s00330-017-5287-9. Epub 2018 Mar 19. Eur Radiol. 2018. PMID: 29556766
-
Multimodal ultrasound tomography for breast imaging: a prospective study of clinical feasibility.Eur Radiol Exp. 2017;1(1):27. doi: 10.1186/s41747-017-0029-y. Epub 2017 Dec 22. Eur Radiol Exp. 2017. PMID: 29708167 Free PMC article.
-
Ultrasound Tomography.Adv Exp Med Biol. 2023;1403:171-200. doi: 10.1007/978-3-031-21987-0_9. Adv Exp Med Biol. 2023. PMID: 37495919
-
Development of Multispectral Optoacoustic Tomography as a Clinically Translatable Modality for Cancer Imaging.Radiol Imaging Cancer. 2020 Nov 20;2(6):e200066. doi: 10.1148/rycan.2020200066. eCollection 2020 Nov. Radiol Imaging Cancer. 2020. PMID: 33330850 Free PMC article. Review.
-
Multispectral optoacoustic tomography of the human breast: characterisation of healthy tissue and malignant lesions using a hybrid ultrasound-optoacoustic approach.Eur Radiol. 2018 Feb;28(2):602-609. doi: 10.1007/s00330-017-5002-x. Epub 2017 Aug 7. Eur Radiol. 2018. PMID: 28786007
References
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical