Literature DB >> 21765659

Advances in breast cancer detection with screening mammography.

J L Champaign1, G J Cederbom.   

Abstract

Breast cancer is a leading cause of death among women in the United States, but good evidence equates early detection with reduction in breast cancer mortality. X-ray screening mammography remains the most sensitive noninvasive technique for detecting early tumors when women are asymptomatic and cancers may still be noninvasive. Limitations that reduce both sensitivity and specificity are inherent in all medical testing and mammography has been reported to miss 10%-15% of breast cancers. Federal standards, along with marked improvements in technology have led to improved regulation, inspection, and compliance requirements. Refinements continue to be made in film/screen combinations, but the ability to obtain the high contrast required to resolve fine structures with only minor density differences is limited by a narrow dynamic range. Recent technologic developments include Computer-Aided Detection (CAD) and Digital Mammography, which work on the principle that cancers cause specific patterns of abnormality and are immune to fatigue, illness, and distraction. The ImageChecker (R2 Technology, Inc, Los Altos, CA), currently the only FDA approved CAD system, was installed at the Breast Imaging Center of Ochsner and three comprehensive studies were performed by R2 Technology, Inc. The technology is promising.

Entities:  

Year:  2000        PMID: 21765659      PMCID: PMC3117552     

Source DB:  PubMed          Journal:  Ochsner J        ISSN: 1524-5012


  17 in total

Review 1.  New and future developments in screen-film mammography equipment and techniques.

Authors:  C Kimme-Smith
Journal:  Radiol Clin North Am       Date:  1992-01       Impact factor: 2.303

2.  The American College of Radiology Mammography Accreditation Program.

Authors:  R McLelland; R E Hendrick; M D Zinninger; P A Wilcox
Journal:  AJR Am J Roentgenol       Date:  1991-09       Impact factor: 3.959

3.  Digital mammography, computer-aided diagnosis, and telemammography.

Authors:  S A Feig; M J Yaffe
Journal:  Radiol Clin North Am       Date:  1995-11       Impact factor: 2.303

4.  Variability in the interpretation of screening mammograms by US radiologists. Findings from a national sample.

Authors:  C A Beam; P M Layde; D C Sullivan
Journal:  Arch Intern Med       Date:  1996-01-22

5.  Twenty-year follow-up of the breast cancers diagnosed during the Breast Cancer Detection Demonstration Project.

Authors:  C R Smart; C Byrne; R A Smith; L Garfinkel; A H Letton; G D Dodd; O H Beahrs
Journal:  CA Cancer J Clin       Date:  1997 May-Jun       Impact factor: 508.702

6.  Breast cancer missed by mammography.

Authors:  J E Martin; M Moskowitz; J R Milbrath
Journal:  AJR Am J Roentgenol       Date:  1979-05       Impact factor: 3.959

7.  Nonpalpable breast lesions: accuracy of prebiopsy mammographic diagnosis.

Authors:  G Hermann; C Janus; I S Schwartz; B Krivisky; S Bier; J G Rabinowitz
Journal:  Radiology       Date:  1987-11       Impact factor: 11.105

Review 8.  Decreased breast cancer mortality through mammographic screening: results of clinical trials.

Authors:  S A Feig
Journal:  Radiology       Date:  1988-06       Impact factor: 11.105

9.  Analysis of cancers missed at screening mammography.

Authors:  R E Bird; T W Wallace; B C Yankaskas
Journal:  Radiology       Date:  1992-09       Impact factor: 11.105

10.  Benefit of independent double reading in a population-based mammography screening program.

Authors:  E L Thurfjell; K A Lernevall; A A Taube
Journal:  Radiology       Date:  1994-04       Impact factor: 11.105

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  3 in total

Review 1.  Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures.

Authors:  Dharambir Kashyap; Deeksha Pal; Riya Sharma; Vivek Kumar Garg; Neelam Goel; Deepika Koundal; Atef Zaguia; Shubham Koundal; Assaye Belay
Journal:  Biomed Res Int       Date:  2022-04-18       Impact factor: 3.246

Review 2.  Artificial intelligence in radiology.

Authors:  Ahmed Hosny; Chintan Parmar; John Quackenbush; Lawrence H Schwartz; Hugo J W L Aerts
Journal:  Nat Rev Cancer       Date:  2018-08       Impact factor: 60.716

3.  Association of mammographic density with pathologic findings.

Authors:  Nasrin Ahmadinejad; Samaneh Movahedinia; Sajjadeh Movahedinia; Mona Shahriari
Journal:  Iran Red Crescent Med J       Date:  2013-12-05       Impact factor: 0.611

  3 in total

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