ArticleBioMed research international2018
A Gradient-Based Approach for Breast DCE-MRI Analysis.
Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4.BMC medical imaging · 2023Trial
- An efficient deep learning strategy for accurate and automated detection of breast tumors in ultrasound image datasets.Frontiers in oncology · 2024Article
- Second-Generation 3D Automated Breast Ultrasonography (Prone ABUS) for Dense Breast Cancer Screening Integrated to Mammography: Effectiveness, Performance and Detection Rates.Journal of personalized medicine · 2021Article
- Differentiating Breast Tumors from Background Parenchymal Enhancement at Contrast-Enhanced Mammography: The Role of Radiomics-A Pilot Reader Study.Diagnostics (Basel, Switzerland) · 2021Article
- A Review of Breast Imaging for Timely Diagnosis of Disease.International journal of environmental research and public health · 2021Review
- Article
- Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images.Diagnostics (Basel, Switzerland) · 2021Article
- Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI.Journal of personalized medicine · 2021Article
- A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results.Frontiers in oncology · 2021Article
- Radiomic Analysis in Contrast-Enhanced Spectral Mammography for Predicting Breast Cancer Histological Outcome.Diagnostics (Basel, Switzerland) · 2020Article
- Article
- Diagnostic challenges and potential early indicators of breast periprosthetic anaplastic large cell lymphoma: A case report.Medicine · 2020Article
- Novel nanomedicine with a chemical-exchange saturation transfer effect for breast cancer treatment in vivo.Journal of nanobiotechnology · 2019Article
- Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images.Journal of clinical medicine · 2019Article
- Ultrasound-Guided Laser Ablation After Excisional Vacuum-Assisted Breast Biopsy for Small Malignant Breast Lesions: Preliminary Results.Technology in cancer research & treatmentArticle
- The Application of Radiomics in Breast MRI: A Review.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the main cause of female malignancy worldwide. Effective early detection by imaging studies remains critical to decrease mortality rates, particularly in women at high risk for developing breast cancer. Breast Magnetic Resonance Imaging (MRI) is a common diagnostic tool in the management of breast diseases, especially for high-risk women. However, during this examination, both normal and abnormal breast tissues enhance after contrast material administration. Specifically, the normal breast tissue enhancement is known as background parenchymal enhancement: it may represent breast activity and depends on several factors, varying in degree and distribution in different patients as well as in the same patient over time. While a light degree of normal breast tissue enhancement generally causes no interpretative difficulties, a higher degree may cause difficulty to detect and classify breast lesions at Magnetic Resonance Imaging even for experienced radiologists. In this work, we intend to investigate the exploitation of some statistical measurements to automatically characterize the enhancement trend of the whole breast area in both normal and abnormal tissues independently from the presence of a background parenchymal enhancement thus to provide a diagnostic support tool for radiologists in the MRI analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.