Literature DB >> 7397672

Computed tomography in detection and diagnosis of breast cancer.

C H Chang, J L Sibala, S L Fritz, S J Dwyer, A W Templeton, F Lin, W R Jewell.   

Abstract

From October 1, 1976 through July 31, 1979, at the University of Kansas Medical Center, CT/M examinations were performed on 1625 patients. Seventy-eight cancers were histologically diagnosed. A CT/M study using our contrast medium enhancement technique yields both static anatomical changes and dynamic measurements of abnormal iodide concentrations in the breast cancers. This unique ability of CT/M provides many advantages as compared with conventional mammography in the diagnosis of breast cancer. The detection rate in 78 cancers by CT/M was 94% and 77% for the mammography. The CT/M appears to be specially superior to the mammography for detecting cancers in dense, premenopausal dysplastic breasts. The CT/M can detect totally unsuspected very small breast cancers that were unable to be identified by conventional mammography or physical examinations. The CT/M scan also seems to be a better test for recognizing precancerous high risk lesions. CT/M evaluation affords definitive diagnostic help in instances where the mammographic and/or physical examinations are inconclusive. Although CT/M will not replace conventional mammography in routine breast examinations, it overcomes the limitation of mammography.

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Year:  1980        PMID: 7397672     DOI: 10.1002/1097-0142(19800815)46:4+<939::aid-cncr2820461315>3.0.co;2-l

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  10 in total

1.  Contrast-enhanced dedicated breast CT: initial clinical experience.

Authors:  Nicolas D Prionas; Karen K Lindfors; Shonket Ray; Shih-Ying Huang; Laurel A Beckett; Wayne L Monsky; John M Boone
Journal:  Radiology       Date:  2010-09       Impact factor: 11.105

Review 2.  Newer Technologies in Breast Cancer Imaging: Dedicated Cone-Beam Breast Computed Tomography.

Authors:  Avice M O'Connell; Andrew Karellas; Srinivasan Vedantham; Daniel T Kawakyu-O'Connor
Journal:  Semin Ultrasound CT MR       Date:  2017-09-05       Impact factor: 1.875

Review 3.  Novel imaging approaches to screen for breast cancer: Recent advances and future prospects.

Authors:  Christopher L Vaughan
Journal:  Med Eng Phys       Date:  2019-10       Impact factor: 2.242

Review 4.  ABC of dermatology. Autoimmunity and skin disease.

Authors:  D J Gawkrodger
Journal:  Br Med J (Clin Res Ed)       Date:  1987-12-05

5.  Breast Cancer Screening: Opportunities and Challenges with Fully 3D Tomographic X-Ray Imaging.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  Bridge (Wash D C)       Date:  2022-03-28

Review 6.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

7.  A comparison between ultrasonography and mammography, computed tomography and digital subtraction angiography for the detection of breast cancers.

Authors:  N Tohnosu; K Okuyama; Y Koide; T Kikuchi; T Awano; H Matsubara; T Sano; H Nakaichi; Y Funami; K Matsushita
Journal:  Surg Today       Date:  1993       Impact factor: 2.549

Review 8.  The potential role of dedicated 3D breast CT as a diagnostic tool: review and early clinical examples.

Authors:  Avice M O'Connell; Andrew Karellas; Srinivasan Vedantham
Journal:  Breast J       Date:  2014-09-08       Impact factor: 2.431

Review 9.  Dedicated breast CT: state of the art-Part I. Historical evolution and technical aspects.

Authors:  Yueqiang Zhu; Avice M O'Connell; Yue Ma; Aidi Liu; Haijie Li; Yuwei Zhang; Xiaohua Zhang; Zhaoxiang Ye
Journal:  Eur Radiol       Date:  2021-08-03       Impact factor: 7.034

10.  Differentiation of Malignant and Benign Incidental Breast Lesions Detected by Chest Multidetector-Row Computed Tomography: Added Value of Quantitative Enhancement Analysis.

Authors:  Yu-Pang Lin; Hsian-He Hsu; Kai-Hsiung Ko; Chi-Ming Chu; Yu-Ching Chou; Wei-Chou Chang; Tsun-Hou Chang
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

  10 in total

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