Literature DB >> 8825140

Breast cancer vascularity: color Doppler sonography and histopathology study.

W J Lee1, J S Chu, C S Huang, M F Chang, K J Chang, K M Chen.   

Abstract

In this prospective study, the authors examined 50 patients with breast tumors (malignant, n = 32; benign, n = 18) to investigate the correlation between color Doppler flow mapping and histopathological findings and to evaluate the clinical significance of color Doppler mapping. Among the 32 patients with breast cancer, color Doppler signals were detected in 24 patients (75%). The maximum flow velocities varied from 5 to 34 cm/sec, with 16 (67%) of them above 15 cm/sec. Among the 18 patients with benign tumors, color Doppler signals could be detected in 7 (39%). The maximum flow velocity varied from 3 to 30 cm/sec but was over 15 cm/sec in only two patients (28%). Histological studies revealed that color Doppler signals detected by Doppler sonography correlated with disordered neovascularization penetrating the lesion from its periphery, consisting of thin-walled blood vessels and large arteriovenous shunts. Although large tumors tend to have high Doppler flow, there is no significant correlation between the maximum flow velocity and tumor size. There is also no significant correlation between the detection of high flow color Doppler signals and the age, receptor status, tumor size, lymph node metastases, or clinical stage of patients with breast cancer. However, there is a positive association (p < 0.05) between nodal metastases and higher tumor flow velocity in T1 (< or = 2 cm) breast tumors, but not in larger tumors. It is concluded that color Doppler is useful in the assessment of tumor vascularity but is of limited value in the differentiation of benign from malignant lesions. However, the presence of color Doppler signals in T1 breast cancer suggesting early dissemination of the cancer might be of important clinical significance in detecting those small, apparently early, but aggressive tumors with poor prognosis.

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Year:  1996        PMID: 8825140     DOI: 10.1007/bf01806510

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  19 in total

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Authors:  D D Adler; P L Carson; J M Rubin; D Quinn-Reid
Journal:  Ultrasound Med Biol       Date:  1990       Impact factor: 2.998

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Journal:  Ultrasound Med Biol       Date:  1978       Impact factor: 2.998

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Journal:  J Natl Cancer Inst       Date:  1990-01-03       Impact factor: 13.506

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Journal:  Ultrasonics       Date:  1977-09       Impact factor: 2.890

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Journal:  Radiology       Date:  1986-04       Impact factor: 11.105

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Journal:  Radiology       Date:  1988-09       Impact factor: 11.105

8.  Duplex sonography of mammary tumors: a prospective study of 75 patients.

Authors:  W Dock
Journal:  J Ultrasound Med       Date:  1993-02       Impact factor: 2.153

9.  Angiogenesis, assessed by platelet/endothelial cell adhesion molecule antibodies, as indicator of node metastases and survival in breast cancer.

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Journal:  Lancet       Date:  1992-11-07       Impact factor: 79.321

10.  Induction of neovascularization in vivo and endothelial proliferation in vitro by tumor-associated macrophages.

Authors:  P J Polverini; S J Leibovich
Journal:  Lab Invest       Date:  1984-12       Impact factor: 5.662

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  11 in total

1.  The role of sonoelastography in planning percutaneous biopsy of soft tissue tumours.

Authors:  Mike Bradley
Journal:  Ultrasound       Date:  2015-09-28

2.  Role of ultrasound in the preoperative staging of patients with breast cancer.

Authors:  Maja Podkrajsek; Maja Marolt Music; Maksimiljan Kadivec; Janez Zgajnar; Nikola Besic; Ana Pogacnik; Marko Hocevar
Journal:  Eur Radiol       Date:  2005-01-27       Impact factor: 5.315

3.  Rapid 3D imaging of contrast flow: demonstration of a dual beam technique.

Authors:  Nelson G Chen; J Brian Fowlkes; Paul L Carson; Gerald L LeCarpentier
Journal:  Ultrasound Med Biol       Date:  2007-04-27       Impact factor: 2.998

Review 4.  Blood flow and oxygenation status of human tumors. Clinical investigations.

Authors:  H J Feldmann; M Molls; P Vaupel
Journal:  Strahlenther Onkol       Date:  1999-01       Impact factor: 3.621

5.  Suspicious breast lesions: assessment of 3D Doppler US indexes for classification in a test population and fourfold cross-validation scheme.

Authors:  Gerald L LeCarpentier; Marilyn A Roubidoux; J Brian Fowlkes; Jochen F Krücker; Karen A Hunt; Chintana Paramagul; Timothy D Johnson; Nancy J Thorson; Karen D Engle; Paul L Carson
Journal:  Radiology       Date:  2008-11       Impact factor: 11.105

6.  Sonographic Evaluation of Incidental Synchronous Masses in Patients with Breast Cancer: Clinical Significance and Diagnostic Workup.

Authors:  Sara Rehman; Imran Khalid Niazi; Muhammad Atif Naveed; Ainy Javaid; Bushra Rehman
Journal:  Eur J Breast Health       Date:  2020-12-24

7.  Ultrasound characterization of breast masses.

Authors:  Sudheer Gokhale
Journal:  Indian J Radiol Imaging       Date:  2009 Jul-Sep

8.  Imaging Predictors for Nonsentinel Lymph Node Metastases in Breast Cancer Patients.

Authors:  Yizi Cong; Suxia Wang; Haidong Zou; Shiguang Zhu; Xingmiao Wang; Jianqiao Cao; Ji Wang; Yanqing Liu; Guangdong Qiao
Journal:  Breast Care (Basel)       Date:  2019-10-29       Impact factor: 2.860

9.  US-localized diffuse optical tomography in breast cancer: comparison with pharmacokinetic parameters of DCE-MRI and with pathologic biomarkers.

Authors:  Min Jung Kim; Min-Ying Su; Hon J Yu; Jeon-Hor Chen; Eun-Kyung Kim; Hee Jung Moon; Ji Soo Choi
Journal:  BMC Cancer       Date:  2016-02-01       Impact factor: 4.430

10.  An Innovative Ultrasound Technique for Evaluation of Tumor Vascularity in Breast Cancers: Superb Micro-Vascular Imaging.

Authors:  Ah Young Park; Bo Kyoung Seo; Sang Hoon Cha; Suk Keu Yeom; Seung Wha Lee; Hwan Hoon Chung
Journal:  J Breast Cancer       Date:  2016-06-24       Impact factor: 3.588

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