Literature DB >> 21752153

Characteristics of breast cancers detected by ultrasound screening in women with negative mammograms.

Min Sun Bae1, Wonshik Han, Hye Ryoung Koo, Nariya Cho, Jung Min Chang, Ann Yi, In-Ae Park, Dong-Young Noh, Woo Suk Choi, Woo Kyung Moon.   

Abstract

Screening ultrasound (US) can increase the detection of breast cancer. However, little is known about the clinicopathologic characteristics of breast cancers detected by screening US. A search of the database for patients with breast cancer yielded a dataset in 6837 women who underwent breast surgery at Seoul National University Hospital (Korea). Of 6837 women, 1047 were asymptomatic and had a non-palpable cancer. Two hundred fifty-four women with 256 cancers detected by US (US-detected cancer) and 793 women with 807 cancers detected by mammography (MG-detected cancer) were identified. The imaging, clinicopathologic, and molecular data were reviewed. Univariate and multivariate analyses were carried out. Women with US-detected cancer were younger and were more likely to undergo breast-conserving surgery and to have node-negative invasive cancer (P < 0.0001). By multivariate analysis, the significant independent characteristics were tumor size, mammographic density, final assessment category according to the American College of Radiology Breast Imaging Reporting and Data System, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and molecular subtype. Compared to tumors that were > 2 cm in size, tumors that were ≤ 1 cm in size were 2.2-fold more likely to be US-detected cancers (P = 0.02). Compared to the luminal A subtype tumors (estrogen receptor [ER]+, PR+, HER2-), luminal B subtype tumors (ER+, PR+, HER2+) were less likely to be in the US-detected cancer group (P < 0.01). Women with dense breasts were more likely to have US-detected cancer (P < 0.01) versus those with non-dense breasts. Screening US-detected cancers were less likely to be diagnosed as category 5 instead of category 4 (P < 0.01). In conclusion, women with US-detected breast cancer are more likely to have small-sized invasive cancer and more likely associated with the luminal A subtype.
© 2011 Japanese Cancer Association.

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Year:  2011        PMID: 21752153     DOI: 10.1111/j.1349-7006.2011.02034.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  19 in total

1.  Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features.

Authors:  Su Min Ha; Eun Young Chae; Joo Hee Cha; Hee Jung Shin; Woo Jung Choi; Hak Hee Kim
Journal:  Br J Radiol       Date:  2018-04-25       Impact factor: 3.039

2.  Quantitative ultrasound analysis for classification of BI-RADS category 3 breast masses.

Authors:  Woo Kyung Moon; Chung-Ming Lo; Jung Min Chang; Chiun-Sheng Huang; Jeon-Hor Chen; Ruey-Feng Chang
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

3.  Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

Authors:  Victoria L Mango; Mary Sun; Ralph T Wynn; Richard Ha
Journal:  AJR Am J Roentgenol       Date:  2020-04-22       Impact factor: 3.959

4.  Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer.

Authors:  Jung Min Chang; In Ae Park; Su Hyun Lee; Won Hwa Kim; Min Sun Bae; Hye Ryoung Koo; Ann Yi; Seung Ja Kim; Nariya Cho; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2013-05-15       Impact factor: 5.315

5.  Clinical Significance of Microcalcifications Detection in Invasive Breast Carcinoma.

Authors:  Yuki Hashimoto; Aya Murata; Naoki Miyamoto; Toshihiro Takamori; Yuta Hosoda; Yukari Endo; Yuka Kodani; Kengo Sato; Keiko Hosoya; Kiyosuke Ishiguro; Yasuaki Hirooka
Journal:  Yonago Acta Med       Date:  2015-08-18       Impact factor: 1.641

Review 6.  Breast density implications and supplemental screening.

Authors:  Athina Vourtsis; Wendie A Berg
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

7.  Shear wave elastography for the diagnosis of small (≤2 cm) breast lesions: added value and factors associated with false results.

Authors:  Hye Young Choi; Mirinae Seo; Yu-Mee Sohn; Ji Hye Hwang; Eun Jee Song; Sun Young Min; Hye Jin Kang; Dong Yoon Han
Journal:  Br J Radiol       Date:  2019-03-26       Impact factor: 3.039

8.  Ultrasonographic characteristics of mammographically occult small breast cancer.

Authors:  Pornpim Korpraphong; Oranan Tritanon; Woranuj Tangcharoensathien; Tamnit Angsusinha; Suebwong Chuthapisith
Journal:  J Breast Cancer       Date:  2012-09-28       Impact factor: 3.588

Review 9.  Practice guideline for the performance of breast ultrasound elastography.

Authors:  Su Hyun Lee; Jung Min Chang; Nariya Cho; Hye Ryoung Koo; Ann Yi; Seung Ja Kim; Ji Hyun Youk; Eun Ju Son; Seon Hyeong Choi; Shin Ho Kook; Jin Chung; Eun Suk Cha; Jeong Seon Park; Hae Kyoung Jung; Kyung Hee Ko; Hye Young Choi; Eun Bi Ryu; Woo Kyung Moon
Journal:  Ultrasonography       Date:  2013-11-26

10.  Shear Wave Elastography: Is It a Valuable Additive Method to Conventional Ultrasound for the Diagnosis of Small (≤2 cm) Breast Cancer?

Authors:  So Jung Kim; Kyung Hee Ko; Hae Kyoung Jung; Hyerin Kim
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

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