Characterizing tumor heterogeneity with functional imaging and quantifying high-risk tumor volume for early prediction of treatment outcome: cervical cancer as a model.
about
Clinical applications for diffusion magnetic resonance imaging in radiotherapyA practical review of magnetic resonance imaging for the evaluation and management of cervical cancerValidation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome predictionPredicting outcomes in radiation oncology--multifactorial decision support systemsPretreatment Dynamic Contrast-Enhanced MRI Improves Prediction of Early Distant Metastases in Patients With Nasopharyngeal Carcinoma.Functional imaging to predict tumor response in locally advanced cervical cancer.The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning.Cluster analysis of dynamic contrast enhanced MRI reveals tumor subregions related to locoregional relapse for cervical cancer patients.Biological imaging in clinical oncology: radiation therapy based on functional imaging.Theoretical effectiveness of cell survival in fractionated radiotherapy with hypoxia-targeted dose escalation.Clonal cooperativity in heterogenous cancers.A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables.MicroRNA-195 inhibits the behavior of cervical cancer tumors by directly targeting HDGFMicroRNA-320 suppresses cervical cancer cell viability, migration and invasion via directly targeting FOXM1.Neutrophilia in locally advanced cervical cancer: A novel biomarker for image-guided adaptive brachytherapy?The value of advanced MRI techniques in the assessment of cervical cancer: a review.Automated Generation of Reliable Blood Velocity Parameter Maps from Contrast-Enhanced Ultrasound Data.Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.Magnetic resonance imaging for assessment of parametrial tumour spread and regression patterns in adaptive cervix cancer radiotherapy.Residual tumour volumes and grey zones after external beam radiotherapy (with or without chemotherapy) in cervical cancer patients. A low-field MRI study.[Treatment planning with functional MRI].Appropriate magnetic resonance imaging techniques for gross tumor volume delineation in external beam radiation therapy of locally advanced cervical cancer.miR-197 is downregulated in cervical carcinogenesis and suppresses cell proliferation and invasion through targeting forkhead box M1.
P2860
Q27005757-994F99E7-342E-494B-BF31-61285BB9DAB9Q28072331-971CE7A1-0061-4DDE-AD93-8530FD76D923Q35142265-D667D6BA-B19F-4210-A449-550C8FD0A563Q36014711-A499EB4A-F1AA-42A0-ACF2-4CB2C0E481A0Q36580841-D67BCB25-8588-4120-B090-358F73AE12D8Q38151507-4092F514-28B7-4D8A-9004-786D35F45FD1Q38232757-85465A31-15BC-4371-9DE6-8B508366342BQ38405926-85A2E797-8B7D-4256-A623-B2BF09DD0080Q38887987-6D7BA7AB-8969-4F12-927B-68467C118792Q38942626-0CB17D9E-2E3D-4774-831C-BFDCECE86F8AQ38943125-8EADE112-A2F0-48DF-9F6D-12AE79C28162Q38989862-63573AAB-1F62-49B9-945C-A0744925036BQ40978761-C6CDB2D8-1533-40B4-A3E2-2C419A543213Q41615526-BA7FE056-538D-4D06-96DB-C04347BB9714Q42317472-02000024-76E4-43E9-AB54-A350A0A21ACFQ42367717-B63852CF-5E95-4BD9-BC07-A2EBEA3239DCQ43376069-806DD96F-714F-4735-92CA-846C5A7E81EFQ47769079-5EEBAD9C-638C-4449-B0AC-9B4A2E2D79C6Q53098020-A1E78C82-D88D-43E5-8865-A35F12D36D73Q53123669-C166BF21-B67F-420B-B688-C3A7BA028B48Q53811618-2F92B1E6-F227-4E90-B8CB-0655CAFF90D5Q54942689-B97EAB71-0B78-4942-9A49-DC903AFE26F1Q55313364-2E427E30-CFFC-420B-9E62-F61700871864
P2860
Characterizing tumor heterogeneity with functional imaging and quantifying high-risk tumor volume for early prediction of treatment outcome: cervical cancer as a model.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Characterizing tumor heterogen ...... e: cervical cancer as a model.
@ast
Characterizing tumor heterogen ...... e: cervical cancer as a model.
@en
type
label
Characterizing tumor heterogen ...... e: cervical cancer as a model.
@ast
Characterizing tumor heterogen ...... e: cervical cancer as a model.
@en
prefLabel
Characterizing tumor heterogen ...... e: cervical cancer as a model.
@ast
Characterizing tumor heterogen ...... e: cervical cancer as a model.
@en
P2093
P2860
P1476
Characterizing tumor heterogen ...... me: cervical cancer as a model
@en
P2093
Christina L Sammet
Jian Z Wang
John C Grecula
Joline M Fan
Michael V Knopp
Nina A Mayr
Simon S Lo
Steffen Sammet
William T C Yuh
P2860
P304
P356
10.1016/J.IJROBP.2011.08.011
P407
P50
P577
2011-12-28T00:00:00Z