Literature DB >> 9747612

The false-negative mammogram.

P T Huynh1, A M Jarolimek, S Daye.   

Abstract

In general, failure to detect or correctly characterize breast cancer can be attributed to one of four main factors: inherent limitations of screen-film mammography, inadequate radiographic technique, subtle or unusual lesion characteristics, and interpretation error. The restricted latitude and display contrast of screen-film mammography are among the significant factors that result in decreased visualization of breast tumors and microcalcifications in patients with dense fibroglandular tissue. Unlike the inherent limitations of screen-film mammography, a poor radiographic technique can be improved on and should be eliminated. Crucial components of a well-performed mammographic examination are correct positioning, adequate compression, and proper image exposure. Lesion characteristics that may lead to a false-negative mammogram include small size, a site where visualization is difficult, visualization on only one view, a benign or probably benign appearance, lack of a desmoplastic reaction, and slow or no apparent growth. Causes of interpretation error include suboptimal viewing conditions, outside distractions, lack of a systematic approach, oversight of a subtle lesion because of an obvious finding, lack of knowledge of clinical findings, imprecise correlation with results of other studies, and nonbelief. Recognition of these various factors should help decrease the rate of false-negative mammograms.

Entities:  

Mesh:

Year:  1998        PMID: 9747612     DOI: 10.1148/radiographics.18.5.9747612

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  30 in total

1.  High resolution dual detector volume-of-interest cone beam breast CT--Demonstration with a bench top system.

Authors:  Youtao Shen; Ying Yi; Yuncheng Zhong; Chao-Jen Lai; Xinming Liu; Zhicheng You; Shuaiping Ge; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Visibility of microcalcification in cone beam breast CT: effects of X-ray tube voltage and radiation dose.

Authors:  Chao-Jen Lai; Chris C Shaw; Lingyun Chen; Mustafa C Altunbas; Xinming Liu; Tao Han; Tianpeng Wang; Wei T Yang; Gary J Whitman; Shu-Ju Tu
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

3.  Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.

Authors:  Alejandro Rodriguez-Ruiz; Kristina Lång; Albert Gubern-Merida; Mireille Broeders; Gisella Gennaro; Paola Clauser; Thomas H Helbich; Margarita Chevalier; Tao Tan; Thomas Mertelmeier; Matthew G Wallis; Ingvar Andersson; Sophia Zackrisson; Ritse M Mann; Ioannis Sechopoulos
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

4.  Building an open-source simulation platform of acoustic radiation force-based breast elastography.

Authors:  Yu Wang; Bo Peng; Jingfeng Jiang
Journal:  Phys Med Biol       Date:  2017-01-11       Impact factor: 3.609

5.  Radiologic findings of screen-detected cancers in an organized population-based screening mammography program in Turkey.

Authors:  Arda Kayhan; Erkin Arıbal; Cennet Şahin; Ömür Can Taşçı; Sibel Özkan Gürdal; Enis Öztürk; Hayat Halide Hatipoğlu; Nilüfer Özaydın; Neslihan Cabioğlu; Beyza Özçınar; Vahit Özmen
Journal:  Diagn Interv Radiol       Date:  2016 Nov-Dec       Impact factor: 2.630

6.  Organized screening detects breast cancer at earlier stage regardless of molecular phenotype.

Authors:  Claire M B Holloway; Li Jiang; Marlo Whitehead; Jennifer M Racz; Patti A Groome
Journal:  J Cancer Res Clin Oncol       Date:  2018-06-16       Impact factor: 4.553

7.  Autoantibodies to tumor-associated antigens in breast carcinoma.

Authors:  Ettie Piura; Benjamin Piura
Journal:  J Oncol       Date:  2010-11-21       Impact factor: 4.375

8.  Building a virtual simulation platform for quasistatic breast ultrasound elastography using open source software: A preliminary investigation.

Authors:  Yu Wang; Emily Helminen; Jingfeng Jiang
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

9.  Reduction in x-ray scatter and radiation dose for volume-of-interest (VOI) cone-beam breast CT--a phantom study.

Authors:  Chao-Jen Lai; Lingyun Chen; Huojun Zhang; Xinming Liu; Yuncheng Zhong; Youtao Shen; Tao Han; Shuaiping Ge; Ying Yi; Tianpeng Wang; Wei T Yang; Gary J Whitman; Chris C Shaw
Journal:  Phys Med Biol       Date:  2009-10-20       Impact factor: 3.609

Review 10.  Obtaining adequate surgical margins in breast-conserving therapy for patients with early-stage breast cancer: current modalities and future directions.

Authors:  Rick G Pleijhuis; Maurits Graafland; Jakob de Vries; Joost Bart; Johannes S de Jong; Gooitzen M van Dam
Journal:  Ann Surg Oncol       Date:  2009-07-17       Impact factor: 5.344

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.