Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy
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Binding Isotherms and Time Courses Readily from Magnetic ResonanceAHNAK suppresses tumour proliferation and invasion by targeting multiple pathways in triple-negative breast cancer.Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI.Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading.Portable perfusion phantom for quantitative DCE-MRI of the abdomen.Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways.Computer-aided heterogeneity analysis in breast MR imaging assessment of ductal carcinoma in situ: Correlating histologic grade and receptor status.Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation.DCE-MRI texture analysis with tumor subregion partitioning for predicting Ki-67 status of estrogen receptor-positive breast cancers.Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images.Radiomics and radiogenomics for precision radiotherapy.Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results.Modification of population based arterial input function to incorporate individual variation.Transport of drugs from blood vessels to tumour tissue.Preoperative predicting malignancy in breast mass-like lesions: value of adding histogram analysis of apparent diffusion coefficient maps to dynamic contrast-enhanced magnetic resonance imaging for improving confidence level.DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes.Magnetic resonance texture parameters are associated with ablation efficiency in MR-guided high-intensity focussed ultrasound treatment of uterine fibroids.Prediction of Chemoresistance in Women Undergoing Neo-Adjuvant Chemotherapy for Locally Advanced Breast Cancer: Volumetric Analysis of First-Order Textural Features Extracted from Multiparametric MRI.Predicting the response to neoadjuvant therapy for early-stage breast cancer: tumor-, blood-, and imaging-related biomarkers
P2860
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P2860
Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Intratumor partitioning and te ...... er to neoadjuvant chemotherapy
@en
type
label
Intratumor partitioning and te ...... er to neoadjuvant chemotherapy
@en
prefLabel
Intratumor partitioning and te ...... er to neoadjuvant chemotherapy
@en
P2093
P2860
P356
P1476
Intratumor partitioning and te ...... er to neoadjuvant chemotherapy
@en
P2093
P2860
P304
P356
10.1002/JMRI.25279
P577
2016-04-15T00:00:00Z