ArticleEuropean radiology2010
Computer-aided interpretation of dynamic magnetic resonance imaging reflects histopathology of invasive breast cancer.
Article in European radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 41 citations in OpenAlex.
- Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?European radiology · 2014Trial
- Diagnostic performance of kinetic parameters of ultrafast breast MRI and their associations with immunohistopathological findings of breast carcinoma.Scientific reports · 2026Article
- The potential of predictive and prognostic breast MRI (P2-bMRI).European radiology experimental · 2022Review
- Computer-Aided Diagnosis Parameters of Invasive Carcinoma of No Special Type on 3T MRI: Correlation with Pathologic Immunohistochemical Markers.Taehan Yongsang Uihakhoe chi · 2022Article
- Time-to-enhancement at ultrafast breast DCE-MRI: potential imaging biomarker of tumour aggressiveness.European radiology · 2020Article
- Clinical relevance of total choline (tCho) quantification in suspicious lesions on multiparametric breast MRI.European radiology · 2020Article
- Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer.Breast cancer research : BCR · 2020Article
- A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer.PloS one · 2020Article
- Kinetic Features of Invasive Breast Cancers on Computer-Aided Diagnosis Using 3T MRI Data: Correlation with Clinical and Pathologic Prognostic Factors.Korean journal of radiology · 2019Article
- Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.European radiology · 2019Article
- Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy.Breast care (Basel, Switzerland) · 2017Article
- Article
- Background Parenchymal Enhancement of the Contralateral Normal Breast: Association with Tumor Response in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.Translational oncology · 2015Article
- Vascular characterisation of triple negative breast carcinomas using dynamic MRI.European radiology · 2011Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo perform a semiautomated software-based comparison of invasive breast carcinoma dynamic enhancement patterns in MR mammography with histological prognostic factors considering whole lesion volumes. MATERIAL AND
methodsA total of 128 patients with 145 invasive breast carcinomas underwent dynamic MR mammography. Kinetic features from the invasive breast lesions were obtained using commercially available software to automatically assess volume enhancement characteristics of a manually chosen lesion. Findings were compared with histological factors determining tumour aggressiveness (lymph node status, LN; oestrogen/progesterone receptor (ER/PR) status; HER-2/neu status; tumour grade) by using nonparametric rank tests and binary logistic regression analysis (BLRA).
resultsVolume enhancement characteristics were significantly influenced by LN, ER/PR and HER-2/neu status (P < 0.05). BLRA implied that total lesion and plateau voxel volume were independent predictors of ER/PR and HER-2/neu status. Strongest initial enhancement predicted negative ER/PR, and time to peak of the most suspect curve was inversely correlated with positive LN status. On the other hand, no statistical significance could be observed between histological tumour grading and kinetic features.
conclusionHistopathological criteria associated with poor prognosis lead to significantly more aggressive dynamic enhancement patterns in MR mammography. In this study, higher lesion volumes as well as higher and earlier initial enhancement were independent covariates predicting higher tumour aggressiveness.
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