Literature DB >> 27837442

Non-calcified ductal carcinoma in situ of the breast: comparison of diagnostic accuracy of digital breast tomosynthesis, digital mammography, and ultrasonography.

Xiaohui Su1, Qing Lin2, Chunxiao Cui1, Wenjian Xu3, Zhimin Wei4, Jie Fei1, Lili Li1.   

Abstract

BACKGROUND: To retrospectively compare the diagnostic accuracy of digital breast tomosynthesis (DBT), digital mammography (DM), and ultrasonography (US) in non-calcified ductal carcinoma in situ (DCIS, include DCIS with micro-invasion). PATIENTS AND METHODS: Ninety-eight patients with non-calcified DCIS (include DCIS with micro-invasion) were enrolled in our study. Breast carcinoma in situ was confirmed by surgical pathologic evaluation. Our Institutional Review Board granted approval and the participating women provided written informed consent. The imaging findings were evaluated according to the Breast Imaging Reporting and Data System (BI-RADS) of the American College of Radiology (ACR) by comparing the differences in the detection rate and diagnostic accuracy among the three techniques in all cases, in dense breasts, and in non-dense breasts.
RESULTS: The detection rates of DBT, DM, and US for non-calcified DCIS in all cases were 83.7, 68.4, and 94.9%, respectively, and in patients with dense breasts were 81.2, 63.8, and 95.0%. The detection rate of US was higher than DBT, which, in turn, was higher than DM both in all cases and in dense breasts. Pairwise comparisons among the three techniques showed that the differences were statistically significant (P = 0.000 and P = 0.000, respectively). The experts identified a case as abnormal for all criteria (BI-RADS score of 4B-5) in 68.4% of ratings using DBT, 43.9% of ratings using DM, and 66.3% of ratings using US; for dense breasts, the positive identification rates were 62.5% of ratings using DBT, 41.2% of ratings using DM, and 61.2% of ratings using US. The diagnostic accuracy of DBT and US was significantly higher than that of DM in all cases (P = 0.001 and P = 0.006, respectively) and in dense breasts (P = 0.007 and P = 0.011, respectively). The diagnostic accuracy of DBT was slightly higher than US in all cases and in dense breasts, but the difference was not statistically significant (P = 0.761 and P = 0.871, respectively). By DBT, most non-calcified cases of DCIS presented as a mass lesion (54.9%) with an irregular shape (46.7%), indistinct margin (53.3%), and isodense composition (71.1%). Using US, 72 of 93 patients (77.4%) were shown to have a mass. Most mass lesions had an irregular shape (83.3%), indistinct margin (55.5%), and parallel the skin (82.8%).
CONCLUSION: DBT and US gave better detection rates and diagnostic accuracy for non-calcified DCIS compared with DM in all cases and in dense breasts. The detection rate of DBT was lower than that of US in all cases and in dense breasts. The diagnostic accuracy of DBT was slightly higher than that of US in all cases and in dense breasts, but the difference was not statistically significant. Imaging findings for non-calcified DCIS were relatively non-specific.

Entities:  

Keywords:  Diagnostic accuracy; Ductal carcinoma in situ; Mammography; Tomosynthesis; Ultrasonography

Mesh:

Substances:

Year:  2016        PMID: 27837442     DOI: 10.1007/s12282-016-0739-7

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  7 in total

Review 1.  Ductal Carcinoma in Situ: State-of-the-Art Review.

Authors:  Lars J Grimm; Habib Rahbar; Monica Abdelmalak; Allison H Hall; Marc D Ryser
Journal:  Radiology       Date:  2021-12-21       Impact factor: 11.105

2.  Diagnostic Performance of Digital Breast Tomosynthesis for Breast Suspicious Calcifications From Various Populations: A Comparison With Full-field Digital Mammography.

Authors:  Juntao Li; Hengwei Zhang; Hui Jiang; Xuhui Guo; Yinli Zhang; Dan Qi; Jitian Guan; Zhenzhen Liu; Erxi Wu; Suxia Luo
Journal:  Comput Struct Biotechnol J       Date:  2018-12-20       Impact factor: 7.271

3.  Optimization of the Radiation Dose of Digital Breast Tomosynthesis in Opportunistic Screening by Studying the Effect of Different Combinations of FFDM and DBT Views.

Authors:  Meihong Sheng; Juan Ji; Chenying Zhang; Zirui Zhang; Shenchu Gong; Yihua Lu
Journal:  Int J Gen Med       Date:  2021-03-30

4.  A Five-Year Review of the Outcomes of Breast Imaging Reporting and Data System 4 Lesions in Hospital Universiti Sains Malaysia.

Authors:  Karthikeyan Marthay; Maya Mazuwin Yahya; Tengku Ahmad Damitri Al-Astani Tengku Din; Wan Zainira Wan Zain; Juhara Haron; Michael Pak-Kai Wong; Rosenelifaizur Ramely; Wan Muhammad Mokhzani Wan Mokhter; Siti Rahmah Hashim Isa Merican; Mohd Nizam Mohd Hashim
Journal:  Cureus       Date:  2022-03-01

5.  A Comparative Study of Multiple Deep Learning Models Based on Multi-Input Resolution for Breast Ultrasound Images.

Authors:  Huaiyu Wu; Xiuqin Ye; Yitao Jiang; Hongtian Tian; Keen Yang; Chen Cui; Siyuan Shi; Yan Liu; Sijing Huang; Jing Chen; Jinfeng Xu; Fajin Dong
Journal:  Front Oncol       Date:  2022-07-07       Impact factor: 5.738

6.  Application of deep learning to identify ductal carcinoma in situ and microinvasion of the breast using ultrasound imaging.

Authors:  Meng Zhu; Yong Pi; Zekun Jiang; Yanyan Wu; Hong Bu; Ji Bao; Yujuan Chen; Lijun Zhao; Yulan Peng
Journal:  Quant Imaging Med Surg       Date:  2022-09

7.  Imaging of Noncalcified Ductal Carcinoma In Situ.

Authors:  Ashley Bragg; Rosalind Candelaria; Beatriz Adrada; Monica Huang; Gaiane Rauch; Lumarie Santiago; Marion Scoggins; Gary Whitman
Journal:  J Clin Imaging Sci       Date:  2021-06-16
  7 in total

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