Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning
出版年份 2021 全文链接
标题
Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning
作者
关键词
Locally advanced breast cancer (LABC), Neoadjuvant chemotherapy (NAC), Quantitative computed tomography (qCT), Personalized medicine, Machine learning, Derivative textures
出版物
Translational Oncology
Volume 14, Issue 10, Pages 101183
出版商
Elsevier BV
发表日期
2021-07-19
DOI
10.1016/j.tranon.2021.101183
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning
- (2020) Hadi Moghadas-Dastjerdi et al. Scientific Reports
- Cancer statistics, 2019
- (2019) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Response rates and pathologic complete response by breast cancer molecular subtype following neoadjuvant chemotherapy
- (2018) Waqar Haque et al. BREAST CANCER RESEARCH AND TREATMENT
- Towards computer based lung disease diagnosis using accurate lung air segmentation of CT images in exhalation and inhalation phases
- (2017) Hadi Moghadas-Dastjerdi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Lung CT image based automatic technique for COPD GOLD stage assessment
- (2017) Hadi Moghadas-Dastjerdi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification
- (2017) Han Sang Lee et al. MEDICAL PHYSICS
- A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound
- (2017) Hadi Tadayyon et al. Scientific Reports
- Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities
- (2017) Ali Sadeghi-Naini et al. Scientific Reports
- Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations
- (2016) Reem Bedair et al. EUROPEAN RADIOLOGY
- Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
- (2016) Colleen Bailey et al. NMR IN BIOMEDICINE
- Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI
- (2016) Alina Tudorica et al. Translational Oncology
- Cone beam breast CT with multiplanar and three dimensional visualization in differentiating breast masses compared with mammography
- (2015) Binghui Zhao et al. EUROPEAN JOURNAL OF RADIOLOGY
- Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues
- (2015) Xiaohang Liu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters
- (2015) Lakshmanan Sannachi et al. MEDICAL IMAGE ANALYSIS
- Early detection of chemotherapy-refractory patients by monitoring textural alterations in diffuse optical spectroscopic images
- (2015) Ali Sadeghi-Naini et al. MEDICAL PHYSICS
- Management of locally advanced breast cancer—perspectives and future directions
- (2015) Konstantinos Tryfonidis et al. Nature Reviews Clinical Oncology
- Improving classification performance of breast lesions on ultrasonography
- (2015) Wilfrido Gómez Flores et al. PATTERN RECOGNITION
- Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?
- (2015) Taryn Hodgdon et al. RADIOLOGY
- The Potential Role of Dedicated 3D Breast CT as a Diagnostic Tool: Review and Early Clinical Examples
- (2014) Avice M. O'Connell et al. Breast Journal
- HER2-positive breast cancer: 18F-FDG PET for early prediction of response to trastuzumab plus taxane-based neoadjuvant chemotherapy
- (2014) Olivier Humbert et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Underuse of Trimodality Treatment Affects Survival for Patients With Inflammatory Breast Cancer: An Analysis of Treatment and Survival Trends From the National Cancer Database
- (2014) Natasha M. Rueth et al. JOURNAL OF CLINICAL ONCOLOGY
- Effective Automated Prediction of Vertebral Column Pathologies Based on Logistic Model Tree with SMOTE Preprocessing
- (2014) Esra Mahsereci Karabulut et al. JOURNAL OF MEDICAL SYSTEMS
- Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer
- (2014) Jose R. Teruel et al. NMR IN BIOMEDICINE
- Conventional Frequency Ultrasonic Biomarkers of Cancer Treatment Response In Vivo
- (2014) Ali Sadeghi-Naini et al. Translational Oncology
- Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
- (2013) Maciej Zięba et al. APPLIED SOFT COMPUTING
- A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients
- (2013) Kung-Jeng Wang et al. APPLIED SOFT COMPUTING
- Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD
- (2013) Peng Cao et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Low-frequency quantitative ultrasound imaging of cell death in vivo
- (2013) Ali Sadeghi-Naini et al. MEDICAL PHYSICS
- Computer-Aided Diagnosis for Early-Stage Lung Cancer Based on Longitudinal and Balanced Data
- (2013) Tao Sun et al. PLoS One
- Texture analysis in assessment and prediction of chemotherapy response in breast cancer
- (2012) Arfan Ahmed et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Inflammatory Breast Cancer: What We Know and What We Need to Learn
- (2012) H. Yamauchi et al. ONCOLOGIST
- Differences in survival among women with stage III inflammatory and noninflammatory locally advanced breast cancer appear early
- (2010) Shaheenah Dawood et al. CANCER
- A learning method for the class imbalance problem with medical data sets
- (2010) Der-Chiang Li et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Pathologic Complete Response Rates in Young Women With BRCA1-Positive Breast Cancers After Neoadjuvant Chemotherapy
- (2009) Tomasz Byrski et al. JOURNAL OF CLINICAL ONCOLOGY
- Epidemiology of Locally Advanced Breast Cancer
- (2009) Lisa A. Newman SEMINARS IN RADIATION ONCOLOGY
- New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
- (2008) E.A. Eisenhauer et al. EUROPEAN JOURNAL OF CANCER
- Classifier performance prediction for computer-aided diagnosis using a limited dataset
- (2008) Berkman Sahiner et al. MEDICAL PHYSICS
- Idiopathic Pulmonary Fibrosis: Physiologic Tests, Quantitative CT Indexes, and CT Visual Scores as Predictors of Mortality
- (2008) Alan C. Best et al. RADIOLOGY
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