ArticleKorean journal of radiology2019
Kinetic Features of Invasive Breast Cancers on Computer-Aided Diagnosis Using 3T MRI Data: Correlation with Clinical and Pathologic Prognostic Factors.
Article in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Angiovolume and Peak Enhancement on Preoperative CAD-Derived MRI as Prognostic Factors in Primary Operable Triple-Negative Breast Cancer.Tomography (Ann Arbor, Mich.) · 2025Article
- Diagnostic value of qualitative and quantitative enhancement parameters on contrast-enhanced mammographyDiagnostic and interventional radiology (Ankara, Turkey) · 2024Article
- MRI Radiomics and Machine Learning for the Prediction of Oncotype Dx Recurrence Score in Invasive Breast Cancer.Cancers · 2023Article
- Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.Life (Basel, Switzerland) · 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
- Radiomics Based on DCE-MRI Improved Diagnostic Performance Compared to BI-RADS Analysis in Identifying Sclerosing Adenosis of the Breast.Frontiers in oncology · 2022Article
- Ultrafast Dynamic Contrast-Enhanced Breast MRI: Lesion Conspicuity and Size Assessment according to Background Parenchymal Enhancement.Korean journal of radiology · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the correlation of kinetic features of breast cancers on computer-aided diagnosis (CAD) of preoperative 3T magnetic resonance imaging (MRI) data and clinical-pathologic factors in breast cancer patients. MATERIALS AND
methodsBetween July 2016 and March 2017, 85 patients (mean age, 54 years; age range, 35-81 years) with invasive breast cancers (mean, 1.8 cm; range, 0.8-4.8 cm) who had undergone MRI and surgery were retrospectively enrolled. All magnetic resonance images were processed using CAD, and kinetic features of tumors were acquired. The relationships between kinetic features and clinical-pathologic factors were assessed using Spearman correlation test and binary logistic regression analysis.
resultsPeak enhancement and angio-volume were significantly correlated with histologic grade, Ki-67 index, and tumor size:
conclusionOf the CAD-assessed kinetic features, higher peak enhancement may correlate with higher histologic grade, and higher delayed-plateau component and angio-volume correlate with higher Ki-67 index. These results support the clinical application of kinetic features in prognosis assessment.
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