Deep learning approach with classification and detection of benign and malignant masses of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging

2021 ◽  
Author(s):  
Nigar Erkoc ◽  
Mustafa Gultekin
Keyword(s):  
Magnetic Resonance Imaging ◽  
Deep Learning ◽  
Breast Magnetic Resonance Imaging ◽  
Maximum Intensity ◽  
Learning Approach ◽  
Resonance Imaging ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Breast Magnetic Resonance ◽  
Maximum Intensity Projections

scholarly journals Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging

2021 ◽  
Vol 1 ◽  
Author(s):  
David E. Frankhouser ◽  
Eric Dietze ◽  
Ashish Mahabal ◽  
Victoria L. Seewaldt
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Blood Vessels ◽  
Breast Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Breast Magnetic Resonance

Angiogenesis is a key step in the initiation and progression of an invasive breast cancer. High microvessel density by morphological characterization predicts metastasis and poor survival in women with invasive breast cancers. However, morphologic characterization is subject to variability and only can evaluate a limited portion of an invasive breast cancer. Consequently, breast Magnetic Resonance Imaging (MRI) is currently being evaluated to assess vascularity. Recently, through the new field of radiomics, dynamic contrast enhanced (DCE)-MRI is being used to evaluate vascular density, vascular morphology, and detection of aggressive breast cancer biology. While DCE-MRI is a highly sensitive tool, there are specific features that limit computational evaluation of blood vessels. These include (1) DCE-MRI evaluates gadolinium contrast and does not directly evaluate biology, (2) the resolution of DCE-MRI is insufficient for imaging small blood vessels, and (3) DCE-MRI images are very difficult to co-register. Here we review computational approaches for detection and analysis of blood vessels in DCE-MRI images and present some of the strategies we have developed for co-registry of DCE-MRI images and early detection of vascularization.

A Preliminary Report on the Clinical Experience with AlloDerm in Breast Reconstruction and its Radiologic Appearance

2010 ◽  
Vol 76 (10) ◽  
pp. 1123-1126 ◽  
Author(s):  
Hop S. Tran Cao ◽  
Christopher Tokin ◽  
Jason Konop ◽  
Haydee Ojeda-Fournier ◽  
James Chao ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Reconstruction ◽  
Breast Magnetic Resonance Imaging ◽  
Radiographic Evaluation ◽  
Resonance Imaging ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Breast Magnetic Resonance ◽  
Tissue Matrix

Human acellular tissue matrix (AlloDerm) use in breast reconstruction has become popular. Traditionally used for prosthesis coverage, it is also used in our practice as a filler for lumpectomy defects and a contouring device. However, no report presently exists that describes its appearance on oncologic surveillance studies. We performed a retrospective review of all charts of patients having undergone cancer-related breast reconstruction using AlloDerm as a filler at a single institution between 2005 and 2009. Postoperative mammograms and dynamic contrast enhanced breast magnetic resonance imaging were reviewed with a dedicated breast imager. Sixteen women underwent surgery involving placement of an AlloDerm roll in the breast. Postoperative films were unavailable for two of them. Of the remaining 14 patients, nine had postoperative mammograms only, three had postoperative dynamic contrast enhanced breast magnetic resonance imaging only, and two patients had both. In all cases, evaluation of the postoperative images was not affected by the presence of AlloDerm. In our short-term, retrospective experience, we find that a thorough radiographic evaluation of the breast tissue remains possible when AlloDerm rolls are used in reconstruction.

A Novel Approach to Contrast-Enhanced Breast Magnetic Resonance Imaging for Screening

2014 ◽  
Vol 49 (9) ◽  
pp. 579-585 ◽  
Author(s):  
Ritse M. Mann ◽  
Roel D. Mus ◽  
Jan van Zelst ◽  
Christian Geppert ◽  
Nico Karssemeijer ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Novel Approach ◽  
Contrast Enhanced ◽  
Breast Magnetic Resonance

Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI

2014 ◽  
Vol 32 (22) ◽  
pp. 2304-2310 ◽  
Author(s):  
Christiane K. Kuhl ◽  
Simone Schrading ◽  
Kevin Strobel ◽  
Hans H. Schild ◽  
Ralf-Dieter Hilgers ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Reading Time ◽  
Breast Magnetic Resonance Imaging ◽  
Maximum Intensity Projection ◽  
Maximum Intensity ◽  
Acquisition Time ◽  
Resonance Imaging ◽  
Breast Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri

Purpose We investigated whether an abbreviated protocol (AP), consisting of only one pre- and one postcontrast acquisition and their derived images (first postcontrast subtracted [FAST] and maximum-intensity projection [MIP] images), was suitable for breast magnetic resonance imaging (MRI) screening. Methods We conducted a prospective observational reader study in 443 women at mildly to moderately increased risk who underwent 606 screening MRIs. Eligible women had normal or benign digital mammograms and, for those with heterogeneously dense or extremely dense breasts (n = 427), normal or benign ultrasounds. Expert radiologists reviewed the MIP image first to search for significant enhancement and then reviewed the complete AP (consisting of MIP and FAST images and optionally their nonsubtracted source images) to characterize enhancement and establish a diagnosis. Only thereafter was the regular full diagnostic protocol (FDP) analyzed. Results MRI acquisition time for FDP was 17 minutes, versus 3 minutes for the AP. Average time to read the single MIP and complete AP was 2.8 and 28 seconds, respectively. Eleven breast cancers (four ductal carcinomas in situ and seven invasive cancers; all T1N0 intermediate or high grade) were diagnosed, for an additional cancer yield of 18.2 per 1,000. MIP readings were positive in 10 (90.9%) of 11 cancers and allowed establishment of the absence of breast cancer, with a negative predictive value (NPV) of 99.8% (418 of 419). Interpretation of the complete AP, as with the FDP, allowed diagnosis of all cancers (11 [100%] of 11). Specificity and positive predictive value (PPV) of AP versus FDP were equivalent (94.3% v 93.9% and 24.4% v 23.4%, respectively). Conclusion An MRI acquisition time of 3 minutes and an expert radiologist MIP image reading time of 3 seconds are sufficient to establish the absence of breast cancer, with an NPV of 99.8%. With a reading time < 30 seconds for the complete AP, diagnostic accuracy was equivalent to that of the FDP and resulted in an additional cancer yield of 18.2 per 1,000.

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