Literature DB >> 19686337

Ultrasound is a useful adjunct to mammography in the assessment of breast tumours in all patients.

M McCavert1, M E O'Donnell, S Aroori, S A Badger, M A Sharif, J G Crothers, R A J Spence.   

Abstract

BACKGROUND: Ultrasound is the first-line breast imaging modality in younger patients and an adjunct to mammography in older patients. The objectives of this study were to evaluate the complementary value of ultrasound to mammography in breast cancer and to investigate the use of ultrasound in patients above and below the age of 50 years.
METHODS: Clinical presentation and investigations for consecutive patients undergoing triple assessment at a symptomatic breast clinic were prospectively recorded between January 2000 and August 2003. Clinical data were compared with pathological findings. Patients were divided into two groups, above and below 50 years of age for subgroup analyses.
RESULTS: A total of 999 of 2185 patients had both mammography and ultrasound investigations performed and constituted the study population. Subgroup analysis of the 2185 patients demonstrated that 99 of the 127 patients who were diagnosed with breast cancer had both investigations performed (median age 57.0, range: 34-89 years). Mammography was normal/benign in 14.1%, indeterminate in 29.3% and suspicious of cancer in 56.6% of patients. Adjunctive ultrasound was normal/benign in 13.1%, indeterminate in 6.1% and suspicious of cancer in 80.8% of patients. In these 99 patients, adjunctive ultrasound was more sensitive than mammogram alone (80.8% vs. 56.6%, p < 0.001). Ultrasound upgraded nine of 14 mammographically normal and 16 of 29 mammographically indeterminate X-rays to a cancer. Mammography appeared to be more sensitive in patients over 50 years compared with those patients under 50 years (62.5% vs. 45.7%, p = 0.10). The sensitivity of ultrasound was comparable between patients above and below the age of 50 years (82.8% vs. 77.1%, p = 0.60). Further subgroup analysis demonstrated a higher sensitivity with combined mammography and ultrasound compared with mammography alone in either patient group (below 50: 45.7%-->77.1% and above 50: 62.5%-->82.8%). These results also suggested that the difference in the sensitivities of mammography vs. the combined investigation approach was more marked in patients under 50 years of age (below 50 = 31.4% vs. above 50 = 20.3%).
CONCLUSION: Adjunctive ultrasound assessment improves breast cancer detection in women of all ages and should be routinely used in symptomatic breast clinics.

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Year:  2009        PMID: 19686337     DOI: 10.1111/j.1742-1241.2009.02102.x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  8 in total

1.  Value of the correct diagnostic pathway through conventional imaging (mammography and ultrasound) in evaluating breast disease.

Authors:  C A Pistolese; T Perretta; E Cossu; F Della Gatta; S Giura; G Simonetti
Journal:  Radiol Med       Date:  2011-06       Impact factor: 3.469

2.  Digital mammography screening: how many breast cancers are additionally detected by bilateral ultrasound examination during assessment?

Authors:  Stefanie Weigel; Cornelis Biesheuvel; Shoma Berkemeyer; Harald Kugel; Walter Heindel
Journal:  Eur Radiol       Date:  2012-10-07       Impact factor: 5.315

3.  Classification of Benign and Malignant Breast Tumors in Ultrasound Images with Posterior Acoustic Shadowing Using Half-Contour Features.

Authors:  Shuicai Wu; Zhuhuang Zhou; King-Jen Chang; Wei-Ren Chen; Yung-Sheng Chen; Wen-Hung Kuo; Chung-Chih Lin; Po-Hsiang Tsui
Journal:  J Med Biol Eng       Date:  2015-04-11       Impact factor: 1.553

4.  A multi-centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women.

Authors:  S Shen; Y Zhou; Y Xu; B Zhang; X Duan; R Huang; B Li; Y Shi; Z Shao; H Liao; J Jiang; N Shen; J Zhang; C Yu; H Jiang; S Li; S Han; J Ma; Q Sun
Journal:  Br J Cancer       Date:  2015-03-17       Impact factor: 7.640

5.  Impact of preoperative magnetic resonance imaging on surgery and eligibility for intraoperative radiotherapy in early breast cancer.

Authors:  Wai Yee Chan; Wai Keong Cheah; Marlina Tanty Ramli Hamid; Mohammad Nazri Md Shah; Farhana Fadzli; Shaleen Kaur; Mee Hoong See; Nur Aishah Mohd Taib; Kartini Rahmat
Journal:  PLoS One       Date:  2022-10-18       Impact factor: 3.752

6.  Sonographic features of invasive ductal breast carcinomas predictive of malignancy grade.

Authors:  Kanika Gupta; Meenakshisundaram Kumaresan; Bhuvaneswari Venkatesan; Tushar Chandra; Aruna Patil; Maya Menon
Journal:  Indian J Radiol Imaging       Date:  2018 Jan-Mar

7.  Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities.

Authors:  Vithya Visalatchi Sanmugasiva; Marlina Tanty Ramli Hamid; Farhana Fadzli; Faizatul Izza Rozalli; Chai Hong Yeong; Nazimah Ab Mumin; Kartini Rahmat
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

8.  A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.

Authors:  Matteo Interlenghi; Christian Salvatore; Veronica Magni; Gabriele Caldara; Elia Schiavon; Andrea Cozzi; Simone Schiaffino; Luca Alessandro Carbonaro; Isabella Castiglioni; Francesco Sardanelli
Journal:  Diagnostics (Basel)       Date:  2022-01-13
  8 in total

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