Article

Screening criteria for breast cancer.

Division of Surgical Oncology, Department of Surgery, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 3550 SCCC (310T), 1475 NW 12th Avenue, Miami, FL 33136, USA.
Advances in Surgery 01/2010; 44:87-100. pp.87-100
Source: PubMed

ABSTRACT Breast cancer screening constitutes an integral part of surgical practice for many surgeons and is an important tool in the war against breast cancer. Among many modalities, mammography plays a central role, with MRI now being increasingly used for women with high risk for breast cancer. Current guidelines for screening are in the process of evolution as more scientific knowledge is gained. The challenge lies in developing cost-effective methods to reach the maximum number of the population at risk.

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    Article: INbreast: toward a full-field digital mammographic database.
    Inês C Moreira, Igor Amaral, Inês Domingues, António Cardoso, Maria João Cardoso, Jaime S Cardoso
    [show abstract] [hide abstract]
    ABSTRACT: Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of algorithms aiming at the detection and diagnosis of mammary lesions. However, available databases often do not take into consideration all the requirements needed for research and study purposes. This article aims to present and detail a new mammographic database. Images were acquired at a breast center located in a university hospital (Centro Hospitalar de S. João [CHSJ], Breast Centre, Porto) with the permission of the Portuguese National Committee of Data Protection and Hospital's Ethics Committee. MammoNovation Siemens full-field digital mammography, with a solid-state detector of amorphous selenium was used. The new database-INbreast-has a total of 115 cases (410 images) from which 90 cases are from women with both breasts affected (four images per case) and 25 cases are from mastectomy patients (two images per case). Several types of lesions (masses, calcifications, asymmetries, and distortions) were included. Accurate contours made by specialists are also provided in XML format. The strengths of the actually presented database-INbreast-relies on the fact that it was built with full-field digital mammograms (in opposition to digitized mammograms), it presents a wide variability of cases, and is made publicly available together with precise annotations. We believe that this database can be a reference for future works centered or related to breast cancer imaging.
    Academic radiology 11/2011; 19(2):236-48. · 2.09 Impact Factor
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    Article: INbreast: Towards a Full Field Digital Mammographic Database
    Inês Moreira, Igor Amaral, Inês Domingues, António Cardoso, Maria João Cardoso, Jaime S Cardoso
    [show abstract] [hide abstract]
    ABSTRACT: Rationale and Objectives: Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of algorithms aiming at the detection and diagnosis of mammary lesions. However, available databases often do not take into consideration all the requirements needed for research and study purposes. This article aims to present and detail a new mammographic database. Materials and Methods: Images were acquired at a breast center located in a university hospital (Centro Hospitalar de S. João [CHSJ], Breast Centre, Porto) with the permission of the Portuguese National Committee of Data Protection and Hospital's Ethics Committee. MammoNovation Siemens full-field digital mammography, with a solid-state detector of amorphous selenium was used. Results: The new database—INbreast—has a total of 115 cases (410 images) from which 90 cases are from women with both breasts affected (four images per case) and 25 cases are from mastectomy patients (two images per case). Several types of lesions (masses, calcifications, asymmetries, and distortions) were included. Accurate contours made by specialists are also provided in XML format. Conclusion: The strengths of the actually presented database—INbreast—relies on the fact that it was built with full-field digital mammograms (in opposition to digitized mammograms), it presents a wide variability of cases, and is made publicly available together with precise annotations. We believe that this database can be a reference for future works centered or related to breast cancer imaging.
    Academic Radiology.
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Keywords

breast cancer
 
Breast cancer screening
 
central role
 
cost-effective methods
 
Current guidelines
 
integral part
 
mammography
 
maximum number
 
scientific knowledge
 
surgical practice