Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r
Objective: To assess the impact of digital breast tomosynthesis (DBT) and magnetic resonance mammography (MRM) in enhancing the performance of digital mammography (DM) in the detection and evaluation of different breast lesions. Patients and methods: In this retrospective study, 98 patients with 103...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2016-09-01
|
Series: | The Egyptian Journal of Radiology and Nuclear Medicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0378603X16300900 |
id |
doaj-20695511dfb845409a626fc1347ddb9b |
---|---|
record_format |
Article |
spelling |
doaj-20695511dfb845409a626fc1347ddb9b2020-11-25T01:21:19ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine0378-603X2016-09-014731159117210.1016/j.ejrnm.2016.06.008Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic rRasha Kamal0Sahar Mansour1Dalia ElMesidy2Kareem Moussa3Ahmed Hussien4Radiology Department (Women’s Imaging Unit), Faculty of Medicine, Cairo University, EgyptRadiology Department (Women’s Imaging Unit), Faculty of Medicine, Cairo University, EgyptRadiology Department (Women’s Imaging Unit), Faculty of Medicine, Cairo University, EgyptRadiology Department (Women’s Imaging Unit), Faculty of Medicine, Cairo University, EgyptSurgery Department, Faculty of Medicine, Cairo University, EgyptObjective: To assess the impact of digital breast tomosynthesis (DBT) and magnetic resonance mammography (MRM) in enhancing the performance of digital mammography (DM) in the detection and evaluation of different breast lesions. Patients and methods: In this retrospective study, 98 patients with 103 breast lesions were assessed by DM, DBT and MRM. Mammography images were acquired using the “combo mode", where both DM and DBT scanned in the same compression. MRM was performed by 1T open system. Each lesion was assigned a blinded category in an individual performance for each modality. The resultant BI-RADS categories were correlated with reports of the pathology specimens or outcome of 18-month follow-up. Results: Both DBT and MRM showed equivalent sensitivity of 92%. The specificity for DBT and MRM was 80.7% and 89.7% respectively. The efficacy of DM was raised from 61% to 83.5% with DBT and 90.2% with MRM. The results of the three modalities and the final diagnosis revealed a significant correlation (p = 0.035).The association between the results of DBT and those of MRM showed statistically significant difference between DBT and MRM for diagnosing breast lesions (p = 0.001). Conclusion: Both MRM and DBT provide better performance than classic DM. Adding either of these modalities to the classic examination enhances diagnosis and precise disease distribution.http://www.sciencedirect.com/science/article/pii/S0378603X16300900Breast cancerDigital mammographyDigital breast tomosynthesisMagnetic resonance mammography |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rasha Kamal Sahar Mansour Dalia ElMesidy Kareem Moussa Ahmed Hussien |
spellingShingle |
Rasha Kamal Sahar Mansour Dalia ElMesidy Kareem Moussa Ahmed Hussien Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r The Egyptian Journal of Radiology and Nuclear Medicine Breast cancer Digital mammography Digital breast tomosynthesis Magnetic resonance mammography |
author_facet |
Rasha Kamal Sahar Mansour Dalia ElMesidy Kareem Moussa Ahmed Hussien |
author_sort |
Rasha Kamal |
title |
Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r |
title_short |
Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r |
title_full |
Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r |
title_fullStr |
Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r |
title_full_unstemmed |
Detection and diagnosis of breast lesions: Performance evaluation of digital breast tomosynthesis and magnetic r |
title_sort |
detection and diagnosis of breast lesions: performance evaluation of digital breast tomosynthesis and magnetic r |
publisher |
SpringerOpen |
series |
The Egyptian Journal of Radiology and Nuclear Medicine |
issn |
0378-603X |
publishDate |
2016-09-01 |
description |
Objective: To assess the impact of digital breast tomosynthesis (DBT) and magnetic resonance mammography (MRM) in enhancing the performance of digital mammography (DM) in the detection and evaluation of different breast lesions.
Patients and methods: In this retrospective study, 98 patients with 103 breast lesions were assessed by DM, DBT and MRM. Mammography images were acquired using the “combo mode", where both DM and DBT scanned in the same compression. MRM was performed by 1T open system. Each lesion was assigned a blinded category in an individual performance for each modality. The resultant BI-RADS categories were correlated with reports of the pathology specimens or outcome of 18-month follow-up.
Results: Both DBT and MRM showed equivalent sensitivity of 92%. The specificity for DBT and MRM was 80.7% and 89.7% respectively. The efficacy of DM was raised from 61% to 83.5% with DBT and 90.2% with MRM. The results of the three modalities and the final diagnosis revealed a significant correlation (p = 0.035).The association between the results of DBT and those of MRM showed statistically significant difference between DBT and MRM for diagnosing breast lesions (p = 0.001).
Conclusion: Both MRM and DBT provide better performance than classic DM. Adding either of these modalities to the classic examination enhances diagnosis and precise disease distribution. |
topic |
Breast cancer Digital mammography Digital breast tomosynthesis Magnetic resonance mammography |
url |
http://www.sciencedirect.com/science/article/pii/S0378603X16300900 |
work_keys_str_mv |
AT rashakamal detectionanddiagnosisofbreastlesionsperformanceevaluationofdigitalbreasttomosynthesisandmagneticr AT saharmansour detectionanddiagnosisofbreastlesionsperformanceevaluationofdigitalbreasttomosynthesisandmagneticr AT daliaelmesidy detectionanddiagnosisofbreastlesionsperformanceevaluationofdigitalbreasttomosynthesisandmagneticr AT kareemmoussa detectionanddiagnosisofbreastlesionsperformanceevaluationofdigitalbreasttomosynthesisandmagneticr AT ahmedhussien detectionanddiagnosisofbreastlesionsperformanceevaluationofdigitalbreasttomosynthesisandmagneticr |
_version_ |
1725130944447250432 |