Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy
Dietzel M, Kaiser C, Pinker K, Wenkel E, Hammon M, Uder M, Baiti BB, Clauser P, Schulz-Wendtland R, Baltzer P (2017)
Publication Type: Journal article
Publication year: 2017
Journal
Book Volume: 12
Pages Range: 231-236
Journal Issue: 4
DOI: 10.1159/000480226
Abstract
We aimed to investigate an automated semi-quantitative software as an imaging biomarker for the prediction of tissue response (TR) after completion of neoadjuvant chemotherapy (NAC).Breast magnetic resonance imaging (MRI) (1.5T, protocol according to international recommendations) of 67 patients with biopsy-proven invasive breast cancer were examined before and after NAC. After completion of NAC, histopathologic assessments of TR were classified according to the Chevallier grading system (CG1/4: full/non-responder; CG2/C3: partial responder). A commercially available fully automatic software (CADstream) extracted MRI parameters of tumor extension (tumor diameter/volume: TD/TV). Pre- versus post-NAC values were compared (?TV and ?TD). Additionally, the software performed volumetric analyses of vascularization (VAV) after NAC. Accuracy of MRI parameters to predict TR were identified (cross-tabs, ROC, AUC, Kruskal-Wallis).There were 37 (34.3%) CG1, 7 (6.5%) CG2, 53 (49.1%) CG3, and 11 (10.2%) CG4 lesions. The software reached area under the curve levels of 79.5% (CG1/complete response: ?TD), 68.6% (CG2, CG3/partial response: VAV), and 88.8% to predict TR (CG4/non-response: ?TV).Semi-quantitative automated analysis of breast MRI data enabled the prediction of tissue response to NAC.
Authors with CRIS profile
Evelyn Wenkel
Medizinische Fakultät
Matthias Hammon
Institute of Radiology
Michael Uder
Lehrstuhl für Diagnostische Radiologie
Involved external institutions
Medizinische Universität Wien
Austria (AT)
Memorial Sloan Kettering Cancer Center
United States (USA) (US)
Universitätsklinikum Mannheim
Germany (DE)
Austria (AT)
Memorial Sloan Kettering Cancer Center
United States (USA) (US)
Universitätsklinikum Mannheim
Germany (DE)
How to cite
APA:
Dietzel, M., Kaiser, C., Pinker, K., Wenkel, E., Hammon, M., Uder, M.,... Baltzer, P. (2017). Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy. Breast Care, 12(4), 231-236. https://doi.org/10.1159/000480226
MLA:
Dietzel, Matthias, et al. "Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy." Breast Care 12.4 (2017): 231-236.
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