Downgrading BIRADS 3 to BIRADS 2 category using a computer-aided microcalcification analysis and risk assessment system for early breast cancer

Giannakopoulou, Georgia; Spyrou, George M.; Antaraki, Argyro; Andreadis, Ioannis; Koulocheri, Dimitra; Zagouri, Flora; Nonni, Afroditi; Filippakis, George; Nikita, Konstantina S.; Ligomenides, Panos A.; Zografos, George

doi:10.1016/j.compbiomed.2010.09.005

Cited by 7 publications

(6 citation statements)

References 41 publications

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“…In this study, approximately 33% of eligible women had screening results categorized as BI-RADS-3, and the impact of navigating BI-RADS-3 women indicates that they are diagnosed significantly faster than comparable non-navigated women. The finding that this occurs and caused by fewer missed appointments and a more rapid diagnostic confirmation lends support to efforts at reducing the BI-RADS-3 classification to a less threatening BI-RADS result, 22,34 and it has been observed that women literally ''suffer'' through a BI-RADS-3 result while awaiting diagnosis. 32,35 The current study provides strong implications that navigated Latinas who had a BI-RADS-3 screening result probably were relieved of the burden of worry about their abnormal result.…”

Section: Time To Diagnosis and Timely Diagnosis Among Navigated Latinasmentioning

confidence: 83%

“…Uninsured or underinsured and racial/ethnic minorities often have the longest delays, 7,19,20 particularly involving ambiguous screening results. 21,22 The literature is limited in Latino cultural focus, consistency in reported outcomes, and small or single-site samples. To address this problem, the federally funded “Redes En Accion: The National Latino Cancer Research Network” tested a culturally tailored patient navigation (PN) intervention model, the Six Cities Patient Navigation Study.…”

Section: Introductionmentioning

confidence: 99%

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Navigating Latinas with breast screen abnormalities to diagnosis

Ramirez

Pérez‐Stable

Penedo

et al. 2012

Cancer

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BACKGROUND Breast cancer is the leading cause of cancer-related deaths in Latinas, chiefly because of later diagnosis. The time from screening to diagnosis is critical to optimizing cancer care, yet the efficacy of navigation in reducing it is insufficiently documented. Here, the authors evaluate a culturally sensitive patient navigation program to reduce the time to diagnosis and increase the proportions of women diagnosed within 30 days and 60 days. METHODS The authors analyzed 425 Latinas who had Breast Imaging Reporting and Data System (BI-RADS) radiologic abnormalities categorized as BI-RADS-3, BI-RADS-4, or BI-RADS-5 from July 2008 to January 2011. There were 217 women in the navigated group and 208 women in the control group. Women were navigated by locally trained navigators or were not navigated (data for this group were abstracted from charts). The Kaplan-Meier method, Cox proportional hazards regression, and logistic regression were used to determine differences between groups. RESULTS The time to diagnosis was shorter in the navigated group (mean, 32.5 days vs 44.6 days in the control group; hazard ratio, 1.32; P = .007). Stratified analysis revealed that navigation significantly shortened the time to diagnosis among women who had BI-RADS-3 radiologic abnormalities (mean, 21.3 days vs 63.0 days; hazard ratio, 2.42; P < .001) but not among those who had BI-RADS-4 or BI-RADS-5 radiologic abnormalities (mean, 37.6 days vs 36.9 days; hazard ratio, 0.98; P = .989). Timely diagnosis occurred more frequently among navigated Latinas (within 30 days: 67.3% vs 57.7%; P = .045; within 60 days: 86.2% vs 78.4%; P = .023). This was driven by the BI-RADS-3 strata (within 30 days: 83.6% vs 50%; P < .001; within 60 days: 94.5% vs 67.2%; P < .001). A lack of missed appointments was associated with timely diagnosis. CONCLUSIONS Patient-centered navigation to assist Latina women with abnormal screening mammograms appeared to reduced the time to diagnosis and increase rates of timely diagnosis overall. However, in stratified analyses, only navigated Latinas with an initial BI-RADS-3 screen benefited, probably because of a reduction in missed diagnostic appointments.

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Section: Time To Diagnosis and Timely Diagnosis Among Navigated Latinasmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Navigating Latinas with breast screen abnormalities to diagnosis

Ramirez

Pérez‐Stable

Penedo

et al. 2012

Cancer

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“…American college of radiology (ACR) [18] classifies mammographic images using BI-RADS in 6 general categories considering breast lesions. …”

Section: Classification and Bi-rads Detectionmentioning

confidence: 99%

Improvement of Benign and Malignant Probability Detection Based on Non-subsample Contourlet Transform and Super-resolution

Pak

Kanan

Alikhassi

2014

2014 22nd International Conference on Pattern Recognition

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Mammography is a standard method for early diagnosis of breast cancer. In this paper, a method has been provided for improving quality of mammographic images to help radiologists so that probability of benign or malign breast lesions can be detected faster and more accurate and false positive rate (FPR) can be reduced. The presented algorithm includes 3 main parts of preprocessing, feature extraction and classification. In the preprocessing stage, a region of interest (ROI) is determined and quality of images is improved by non sub-sample contourlet transform (NSCT) and super resolution (SR) algorithm altogether. In feature extraction stage, some features of the image components are extracted and skewness of each feature is calculated. Finally, support vector machine (SVM) is used to classify and determine probability of benign and malign disease. The obtained results on MIAS database indicate efficiency of the proposed algorithm.

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“…Mammography is the most effective technique for the early diagnosis of breast cancer . Thus, the utilization of such images is still very important due to the possibility that a physician may misread or misinterpret an exam (Giannakopoulou et al 2010;Jasmine et al 2009;Osman et al 2009;Verma, 2009). Five other systems (17.24%) reported work with ultrasound imaging, a technique that has been very important, in conjunction with mammography, in increasing the precision of breast cancer diagnosis Lee et al, 2009;Shen et al, 2007).…”

Section: Modalities Of Medical Imaging Exploitedmentioning

confidence: 99%

A systematic review on the evaluation and characteristics of computer-aided diagnosis systems

Gonçalves

Delamaro

Nunes

2014

Rev. Bras. Eng. Bioméd.

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Introduction: One of the challenges in developing Computer-Aided Diagnosis (CAD) systems is their accurate and comprehensive assessment. This paper presents the conduction and results of a systematic review (SR) that aims to verify the state of the art regarding the assessment of CAD systems. This survey provides a general analysis of the current status of the design, development and assessment of such systems and includes discussions on the most used metrics and approaches that could be utilized to obtain more objective evaluation methods. Methods: The SR was conducted using the scientifi c databases, ACM Digital Library, IEEE Xplore Digital Library, ScienceDirect and Web of Science. Inclusion and exclusion criteria were defi ned and applied to each retrieved work to select those of interest. From 156 studies retrieved, 100 studies were included. Results: There is a number of abnormalities that have been used for the development of CAD systems. Images from computed tomographies and mammographies are the most encountered types of medical images. Additionally, a number of studies used public databases for CAD evaluations. The main evaluation metrics and methods applied to CAD systems include sensitivity, accuracy, specifi city and receiver operating characteristic (ROC) analyses. In the assessed CAD systems that used the segmentation method, 30.0% applied the overlap measure. Discussion: There remain several topics to explore for the assessment of CAD schemes. While some evaluation metrics are traditionally used, they require a prior knowledge of case characteristics to test CAD systems. We were not able to identify articles that use software testing to evaluate CAD systems. Thus, we realize that there is a gap between CAD assessments and traditional practices of software engineering. However, the scope of this research is limited to scientifi c and academic works and excludes commercial interests. Finally, we discuss potential research studies within this scope to create a more objective and effi cient evaluation of CAD systems.

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Downgrading BIRADS 3 to BIRADS 2 category using a computer-aided microcalcification analysis and risk assessment system for early breast cancer

Cited by 7 publications

References 41 publications

Navigating Latinas with breast screen abnormalities to diagnosis

Navigating Latinas with breast screen abnormalities to diagnosis

Improvement of Benign and Malignant Probability Detection Based on Non-subsample Contourlet Transform and Super-resolution

A systematic review on the evaluation and characteristics of computer-aided diagnosis systems

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