Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings
- PMID: 2238263
- DOI: 10.1016/0301-5629(90)90020-d
Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings
Abstract
A prospective study of the Doppler color flow features of 55 proved breast cancers was performed. On a three-level scale of low to marked vascularity, visual assessment of the color flow images classified 82% of the cancers as moderately or markedly vascular (minimal: 14%, moderate: 29%, marked: 53%). Four percent of the cancers had no detectable flow. In 29 women, a volume of tissue comparable to the cancer was scanned in the contralateral normal breast. Sixty-nine percent of the normal breasts had moderate or marked vascularity (minimal: 28%, moderate: 41%, marked: 28%), and 3% were avascular. There was poor distinction between normal tissues and cancer which suggests that more sensitive Doppler methods than were employed in this study may be needed in order to detect the small vessel flow reported to be rather specific for malignancy. The high, 82%, detection rate of tumor vessels in this study suggests the potential use of color flow Doppler for directing more specific but lengthy Doppler procedures.
Similar articles
-
The use of breast ultrasound color Doppler vascular pattern morphology improves diagnostic sensitivity with minimal change in specificity.Ultraschall Med. 2010 Oct;31(5):466-74. doi: 10.1055/s-0028-1109478. Epub 2010 Jan 21. Ultraschall Med. 2010. PMID: 20094978
-
Correlation between color power Doppler sonographic measurement of breast tumor vasculature and immunohistochemical analysis of microvessel density for the quantitation of angiogenesis.J Ultrasound Med. 2002 Nov;21(11):1227-35. doi: 10.7863/jum.2002.21.11.1227. J Ultrasound Med. 2002. PMID: 12418764
-
Differential diagnosis of solid breast lesions: contribution of Doppler studies to mammography and gray scale imaging.J Ultrasound Med. 2001 Oct;20(10):1091-101; quiz 1102. doi: 10.7863/jum.2001.20.10.1091. J Ultrasound Med. 2001. PMID: 11587016
-
Ultrasound is a useful adjunct to mammography in the assessment of breast tumours in all patients.Int J Clin Pract. 2009 Nov;63(11):1589-94. doi: 10.1111/j.1742-1241.2009.02102.x. Epub 2009 Aug 14. Int J Clin Pract. 2009. PMID: 19686337 Review.
-
Breast ultrasound.Gan To Kagaku Ryoho. 1996 Mar;23 Suppl 1:14-23. Gan To Kagaku Ryoho. 1996. PMID: 8702306 Review.
Cited by
-
Three‑Dimensional Ultrasonography in Preoperative and Postoperative Volume Assessment of the Undescended Testicle.Med Sci Monit. 2020 Oct 13;26:e924325. doi: 10.12659/MSM.924325. Med Sci Monit. 2020. PMID: 33046685 Free PMC article. Clinical Trial.
-
Nomogram Based on Ultrasonography and Clinical Features for Predicting Malignancy in Soft Tissue Tumors.Cancer Manag Res. 2021 Mar 2;13:2143-2152. doi: 10.2147/CMAR.S296972. eCollection 2021. Cancer Manag Res. 2021. PMID: 33688257 Free PMC article.
-
Factors Influencing the Sample Adequacy of Ultrasound-Guided Fine-Needle Aspiration from Solid Thyroid Nodules for Liquid-Based Cytology: A Demographic, Sonographic, and Technical Perspective.Medicina (Kaunas). 2022 Nov 13;58(11):1639. doi: 10.3390/medicina58111639. Medicina (Kaunas). 2022. PMID: 36422179 Free PMC article.
-
Nomograms for Predicting Axillary Lymph Node Status Reconciled With Preoperative Breast Ultrasound Images.Front Oncol. 2021 Apr 7;11:567648. doi: 10.3389/fonc.2021.567648. eCollection 2021. Front Oncol. 2021. PMID: 33898303 Free PMC article.
-
Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images.Front Oncol. 2022 Nov 8;12:1012724. doi: 10.3389/fonc.2022.1012724. eCollection 2022. Front Oncol. 2022. PMID: 36425556 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical