scholarly journals Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic resonance mammography

2016 ◽  
Vol 47 (3) ◽  
pp. 1159-1172 ◽  
Author(s):  
Rasha Kamal ◽  
Sahar Mansour ◽  
Dalia ElMesidy ◽  
Kareem Moussa ◽  
Ahmed Hussien
Keyword(s):  
Performance Evaluation ◽  
Magnetic Resonance ◽  
Digital Breast Tomosynthesis ◽  
Breast Lesions ◽  
Breast Tomosynthesis ◽  
Magnetic Resonance Mammography ◽  
Detection And Diagnosis

scholarly journals Comparative Study of Digital Breast Tomosynthesis (DBT) with and without Ultrasound versus Breast Magnetic Resonance Imaging (MRI) in Detecting Breast Lesion

2022 ◽  
Vol 19 (2) ◽  
pp. 759
Author(s):  
Janice Hui Ling Goh ◽  
Toh Leong Tan ◽  
Suraya Aziz ◽  
Iqbal Hussain Rizuana
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diagnostic Performance ◽  
Breast Lesion ◽  
Breast Magnetic Resonance Imaging ◽  
Digital Breast Tomosynthesis ◽  
Resonance Imaging ◽  
Breast Tomosynthesis ◽  
Breast Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri

Digital breast tomosynthesis (DBT) is a fairly recent breast imaging technique invented to overcome the challenges of overlapping breast tissue. Ultrasonography (USG) was used as a complementary tool to DBT for the purpose of this study. Nonetheless, breast magnetic resonance imaging (MRI) remains the most sensitive tool to detect breast lesion. The purpose of this study was to evaluate diagnostic performance of DBT, with and without USG, versus breast MRI in correlation to histopathological examination (HPE). This was a retrospective study in a university hospital over a duration of 24 months. Findings were acquired from a formal report and were correlated with HPE. The sensitivity of DBT with or without USG was lower than MRI. However, the accuracy, specificity and PPV were raised with the aid of USG to equivalent or better than MRI. These three modalities showed statistically significant in correlation with HPE (p < 0.005, chi-squared). Generally, DBT alone has lower sensitivity as compared to MRI. However, it is reassuring that DBT + USG could significantly improve diagnostic performance to that comparable to MRI. In conclusion, results of this study are vital to centers which do not have MRI, as complementary ultrasound can accentuate diagnostic performance of DBT.

Computer-Aided Detection and Diagnosis for 3D X-Ray Based Breast Imaging

2012 ◽  
pp. 66-85
Author(s):  
Gautam S. Muralidhar ◽  
Alan C. Bovik ◽  
Mia K. Markey
Keyword(s):  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Future Research ◽  
Computer Aided Detection ◽  
Breast Tomosynthesis ◽  
X Ray ◽  
Computer Aided ◽  
Recent Developments ◽  
Initial Work ◽  
Detection And Diagnosis

The last 15 years has seen the advent of a variety of powerful 3D x-ray based breast imaging modalities such as digital breast tomosynthesis, digital breast computed tomography, and stereo mammography. These modalities promise to herald a new and exciting future for early detection and diagnosis of breast cancer. In this chapter, the authors review some of the recent developments in 3D x-ray based breast imaging. They also review some of the initial work in the area of computer-aided detection and diagnosis for 3D x-ray based breast imaging. The chapter concludes by discussing future research directions in 3D computer-aided detection.

Size assessment of breast lesions by means of a computer-aided detection (CAD) system for magnetic resonance mammography

2011 ◽  
Vol 116 (7) ◽  
pp. 1039-1049 ◽  
Author(s):  
G. Levrini ◽  
R. Sghedoni ◽  
C. Mori ◽  
A. Botti ◽  
R. Vacondio ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Breast Lesions ◽  
Computer Aided Detection ◽  
Cad System ◽  
Computer Aided ◽  
Magnetic Resonance Mammography

scholarly journals Digital Breast Tomosynthesis as a Tool in Confirming Negative Surgical Margins in Non-palpable Breast Lesions

2019 ◽  
Vol 10 (4) ◽  
pp. 624-628
Author(s):  
Jithin T. Chand ◽  
Mala M. Sharma ◽  
Janaki P. Dharmarajan ◽  
Ajit Nambiar
Keyword(s):  
Digital Breast Tomosynthesis ◽  
Surgical Margins ◽  
Breast Lesions ◽  
Breast Tomosynthesis ◽  
Palpable Breast

scholarly journals Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Vithya Visalatchi Sanmugasiva ◽  
Marlina Tanty Ramli Hamid ◽  
Farhana Fadzli ◽  
Faizatul Izza Rozalli ◽  
Chai Hong Yeong ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Asian Population ◽  
Architectural Distortion ◽  
Breast Lesions ◽  
Cross Sectional ◽  
Breast Tomosynthesis ◽  
Full Field

AbstractThis study aims to assess the diagnostic accuracy of digital breast tomosynthesis in combination with full field digital mammography (DBT + FFDM) in the charaterisation of Breast Imaging-reporting and Data System (BI-RADS) category 3, 4 and 5 lesions. Retrospective cross-sectional study of 390 patients with BI-RADS 3, 4 and 5 mammography with available histopathology examination results were recruited from in a single center of a multi-ethnic Asian population. 2 readers independently reported the FFDM and DBT images and classified lesions detected (mass, calcifications, asymmetric density and architectural distortion) based on American College of Radiology-BI-RADS lexicon. Of the 390 patients recruited, 182 malignancies were reported. Positive predictive value (PPV) of cancer was 46.7%. The PPV in BI-RADS 4a, 4b, 4c and 5 were 6.0%, 38.3%, 68.9%, and 93.1%, respectively. Among all the cancers, 76% presented as masses, 4% as calcifications and 20% as asymmetry. An additional of 4% of cancers were detected on ultrasound. The sensitivity, specificity, PPV and NPV of mass lesions detected on DBT + FFDM were 93.8%, 85.1%, 88.8% and 91.5%, respectively. The PPV for calcification is 61.6% and asymmetry is 60.7%. 81.6% of cancer detected were invasive and 13.3% were in-situ type. Our study showed that DBT is proven to be an effective tool in the diagnosis and characterization of breast lesions and supports the current body of literature that states that integrating DBT to FFDM allows good characterization of breast lesions and accurate diagnosis of cancer.

Radiomic features analysis by digital breast tomosynthesis and contrast-enhanced dual-energy mammography to detect malignant breast lesions

2019 ◽  
Vol 53 ◽  
pp. 101568 ◽  
Author(s):  
Roberta Fusco ◽  
Paolo Vallone ◽  
Salvatore Filice ◽  
Vincenza Granata ◽  
Teresa Petrosino ◽  
...  
Keyword(s):  
Digital Breast Tomosynthesis ◽  
Dual Energy ◽  
Breast Lesions ◽  
Breast Tomosynthesis ◽  
Contrast Enhanced ◽  
Malignant Breast

scholarly journals Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Rana M. Naeim ◽  
Rania A. Marouf ◽  
Merhan A. Nasr ◽  
Marwa E. Abd El-Rahman
Keyword(s):  
Breast Cancer ◽  
Diagnostic Accuracy ◽  
Digital Mammography ◽  
Digital Breast Tomosynthesis ◽  
Breast Lesions ◽  
Breast Tomosynthesis ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography ◽  
Diagnostic Indices

Abstract Background Mammography has been the mainstay for the detection of breast cancer over decades. It has gradually advanced from screen film to full-field digital mammography. Tomosynthesis has evolved as advanced imaging for early diagnosis of breast lesions with a promising role in both diagnostic and screening settings, particularly in dense and treated breasts. Results This study included 90 female patients according to our inclusion criteria. All patients perform full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) and were classified according to breast density and age groups. Breast imaging reporting and data system (BI-RADS) scoring was assigned for each case. This was correlated with the final diagnosis; the diagnostic indices of mammography were a sensitivity of 64.44%, a specificity of 77.78%, a positive predictive value (PPV) 74.63%, a negative predictive value (NPV) of 68.63%, and a diagnostic accuracy of 71.11%. Diagnostic indices of DBT were a sensitivity of 100%, a specificity of 97.77%, PPV 97.78%, NPV 100%, and diagnostic accuracy of 97.7%. In patients with dense breasts American College of Radiology (ACR) (c and d), 61% of cases had changed their BIRADS scoring with the addition of tomosynthesis. Yet, in non-dense breast ACR (a and b), 45% of cases had changed BIRADS scoring with the addition of DBT to FFDM. Conclusion DBT is a promising imaging modality offering better detection and characterization of different breast abnormalities, especially in young females, and those with dense breasts with an increase of sensitivity and specificity than FFDM. This leads to a reduction in the recalled cases, negative biopsies, and assessing the efficacy of therapy as it enables improving detection of breast cancer and different breast lesions not visualized by conventional mammography

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