Literature DB >> 2238263

Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings.

D D Adler1, P L Carson, J M Rubin, D Quinn-Reid.   

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.

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Year:  1990        PMID: 2238263     DOI: 10.1016/0301-5629(90)90020-d

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  88 in total

1.  Association of ultrasonographic features with NGX6 expression and prognosis in invasive ductal breast carcinoma.

Authors:  Jidong Xiao; Yuanquan Zhou; Wenhui Zhu
Journal:  Int J Clin Exp Pathol       Date:  2015-06-01

2.  Quantitative analysis of vascular heterogeneity in breast lesions using contrast-enhanced 3-D harmonic and subharmonic ultrasound imaging.

Authors:  Anush Sridharan; John R Eisenbrey; Priscilla Machado; Haydee Ojeda-Fournier; Annina Wilkes; Alexander Sevrukov; Robert F Mattrey; Kirk Wallace; Carl L Chalek; Kai E Thomenius; Flemming Forsberg
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-03       Impact factor: 2.725

3.  Comparing contrast-enhanced color flow imaging and pathological measures of breast lesion vascularity.

Authors:  Flemming Forsberg; Babita Kuruvilla; Mark B Pascua; Manisha H Chaudhari; Daniel A Merton; Juan P Palazzo; Barry B Goldberg
Journal:  Ultrasound Med Biol       Date:  2008-04-24       Impact factor: 2.998

4.  Value of ultrasonography for observation of early healing of humeral shaft fractures.

Authors:  Hai-Qing Su; Xiao-Qiang Zhuang; Yu Bai; Hai-Hong Ye; Xiao-Hua Huang; Bing-Bing Lu; Sheng-Lin Lu; De-Yi Nong; Wei Wang
Journal:  J Med Ultrason (2001)       Date:  2013-03-15       Impact factor: 1.314

5.  Quantitative ultrasound in cancer imaging.

Authors:  Ernest J Feleppa; Jonathan Mamou; Christopher R Porter; Junji Machi
Journal:  Semin Oncol       Date:  2011-02       Impact factor: 4.929

6.  Diagnostic value of strain ratio measurement in differential diagnosis of thyroid nodules coexisted with Hashimoto thyroiditis.

Authors:  Jianhong Wang; Ping Li; Lingling Sun; Yongmei Sun; Shibao Fang; Xuejun Liu
Journal:  Int J Clin Exp Med       Date:  2015-04-15

7.  Superb microvascular imaging in diagnosis of breast lesions: a comparative study with contrast-enhanced ultrasonographic microvascular imaging.

Authors:  Xiao-Yun Xiao; Xin Chen; Xiao-Feng Guan; Huan Wu; Wei Qin; Bao-Ming Luo
Journal:  Br J Radiol       Date:  2016-08-16       Impact factor: 3.039

8.  Breast cancer angiogenesis: a quantitative morphologic and Doppler imaging study.

Authors:  W J Lee; J S Chu; S J Houng; M F Chung; S M Wang; K M Chen
Journal:  Ann Surg Oncol       Date:  1995-05       Impact factor: 5.344

Review 9.  Ultrasound in diagnosis of intrascrotal metastasis of Wilms' tumor: first case report of a Chinese boy and review of the literature.

Authors:  Yu-Jia Yang; Bo Xiang; Ju-Xian Liu; Mei Yang; Hui-Zhu Chen
Journal:  J Med Ultrason (2001)       Date:  2015-06-07       Impact factor: 1.314

10.  Inhibitory effect of ginsenoside Rg3 combined with gemcitabine on angiogenesis and growth of lung cancer in mice.

Authors:  Tai-Guo Liu; Ying Huang; Dan-Dan Cui; Xiao-Bing Huang; Shu-Hua Mao; Ling-Ling Ji; Hai-Bo Song; Cheng Yi
Journal:  BMC Cancer       Date:  2009-07-23       Impact factor: 4.430

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