Detection of Mammographically Occult Architectural Distortion on Digital Breast Tomosynthesis Screening: Initial Clinical Experience

2014 ◽  
Vol 203 (1) ◽  
pp. 216-222 ◽  
Author(s):  
Luke Partyka ◽  
Ana P. Lourenco ◽  
Martha B. Mainiero
2007 ◽  
Vol 14 (2) ◽  
pp. 229-238 ◽  
Author(s):  
Sara C. Chen ◽  
Ann-Katherine Carton ◽  
Michael Albert ◽  
Emily F. Conant ◽  
Mitchell D. Schnall ◽  
...  

2019 ◽  
Vol 26 (10) ◽  
pp. 1363-1372
Author(s):  
Yueh Z. Lee ◽  
Connor Puett ◽  
Christina R. Inscoe ◽  
Beilin Jia ◽  
Connie Kim ◽  
...  

2020 ◽  
Vol 2 (5) ◽  
pp. 424-435
Author(s):  
Naziya Samreen ◽  
Linda Moy ◽  
Cindy S Lee

Abstract Architectural distortion on digital breast tomosynthesis (DBT) can occur due to benign and malignant causes. With DBT, there is an increase in the detection of architectural distortion compared with 2D digital mammography, and the positive predictive value is high enough to justify tissue sampling when imaging findings are confirmed. Workup involves supplemental DBT views and ultrasound, with subsequent image-guided percutaneous biopsy using the modality on which it is best visualized. If architectural distortion is subtle and/or questionable on diagnostic imaging, MRI may be performed for problem solving, with subsequent biopsy of suspicious findings using MRI or DBT guidance, respectively. If no suspicious findings are noted on MRI, a six-month follow-up DBT may be performed. On pathology, malignant cases are noted in 6.8%–50.7% of the cases, most commonly due to invasive ductal carcinoma, followed by invasive lobular carcinoma. Radial scars are the most common benign cause, with stromal fibrosis and sclerosing adenosis being much less common. As there is an increase in the number of benign pathological outcomes for architectural distortion on DBT compared with 2D digital mammography, concordance should be based on the level of suspicion of imaging findings. As discordant cases have upgrade rates of up to 25%, surgical consultation is recommended for discordant radiologic-pathologic findings.


2019 ◽  
Vol 50 ◽  
pp. 92-102 ◽  
Author(s):  
Helder C.R. de Oliveira ◽  
Arianna Mencattini ◽  
Paola Casti ◽  
Juliana H. Catani ◽  
Nestor de Barros ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Vithya Visalatchi Sanmugasiva ◽  
Marlina Tanty Ramli Hamid ◽  
Farhana Fadzli ◽  
Faizatul Izza Rozalli ◽  
Chai Hong Yeong ◽  
...  

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.


2017 ◽  
Vol 28 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Elizabeth H. Dibble ◽  
Ana P. Lourenco ◽  
Grayson L. Baird ◽  
Robert C. Ward ◽  
A. Stanley Maynard ◽  
...  

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Aysegul Altunkeser ◽  
Zeynep Fatma Arslan ◽  
Mehmet Ali Eryilmaz ◽  
Muslu Kazım Korez ◽  
Zeynep Bayramoğlu

Background: Digital mammography (DM) and digital breast tomosynthesis (DBT) are important radiological modalities, which increase the survival of breast cancer patients. Breast cancer is a morphologically heterogeneous disease with various histopathological parameters and multiple receptors in its biological profile. Objectives: This study aimed to analyze the morphological features of invasive breast cancer on DM and DBT, to investigate the contribution of DBT to DM, to examine the association of DBT findings with pathological molecular subtypes, Bloom-Richardson grade, and Ki-67 index, and to determine the effect of breast parenchyma density on the relationship between DBT findings and hormone receptors. Patients and Methods: A total of 36 patients with malignant lesions were evaluated in this study. According to the American College of Radiology (ACR) classification, the lesion features were divided into subgroups based on DM and DBT, and the findings were compared. The relationships between DBT findings and the hormone receptor status, molecular classification, and Bloom-Richardson grade were also investigated, and the effect of density on these relationships was assessed. Results: The mean age of the patients (n = 36) was 53 years. Based on the comparison of DM and DBT findings, spiculated margins, mass density, architectural distortion, and microcalcifications were significantly more frequent in DBT. Lesions with indistinct margins on DM were observed as mass lesions with spiculated margins on DBT (P < 0.001). Regarding the relationship between DBT findings and hormone receptor status and Ki-67 proliferation index, in PR-positive patients, an irregular tumor shape was more common (89.7%). In PR-negative patients, skin changes and nipple retraction were more frequently seen (P = 0.03 for skin changes, and P = 0.049 for nipple retraction). Regarding the association between Bloom-Richardson grade and DBT findings, tumors with a higher grade were more likely to be associated with a high tumor density (P = 0.032). Also, considering the relationship between molecular classification and DBT findings, skin changes and nipple retraction were significantly more frequent in triple-negative masses compared to other subtypes (P = 0.011 for skin changes and P = 0.016 for nipple retraction). Conclusions: DBT is superior to DM, as it reveals the lesion margins, density, and architectural distortion more accurately. The majority of PR-positive tumors were irregular, while most PR-negative cases were round. The mass density also increased as the tumor grade increased. Skin change and nipple retraction were frequently seen in triple-negative tumors compared to other subtypes. Therefore, DBT is a promising diagnostic tool for showing molecular subtypes in dense breasts.


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