ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma. - Wikidata - awgldk - TriplyDB

ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma.

ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma.

http://www.wikidata.org/entity/Q34712780

about

Current standards and new concepts in MRI and PET response assessment of antiangiogenic therapies in high-grade glioma patients Malignant gliomas: current perspectives in diagnosis, treatment, and early response assessment using advanced quantitative imaging methods Improving tumour heterogeneity MRI assessment with histograms.Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study Functional imaging in adult and paediatric brain tumours.Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy - detecting illusive disease, defining response.Diffusion MRI in early cancer therapeutic response assessment.Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer.Diffusion tensor histogram analysis of pediatric diffuse intrinsic pontine glioma Diffusion MRI and novel texture analysis in osteosarcoma xenotransplants predicts response to anti-checkpoint therapy Vasculature-specific MRI reveals differential anti-angiogenic effects of a biomimetic peptide in an orthotopic breast cancer model Bevacizumab impairs oxidative energy metabolism and shows antitumoral effects in recurrent glioblastomas: a 31P/1H MRSI and quantitative magnetic resonance imaging study Potential of Diffusion Tensor Imaging and Relaxometry for the Detection of Specific Pathological Alterations in Parkinson's Disease (PD)Lessons from anti-vascular endothelial growth factor and anti-vascular endothelial growth factor receptor trials in patients with glioblastoma.An Update on the Approach to the Imaging of Brain Tumors.Pre-Operative Perfusion Skewness and Kurtosis Are Potential Predictors of Progression-Free Survival after Partial Resection of Newly Diagnosed Glioblastoma.Early perfusion changes in patients with recurrent high-grade brain tumor treated with Bevacizumab: preliminary results by a quantitative evaluation.Apparent diffusion coefficient histogram metrics correlate with survival in diffuse intrinsic pontine glioma: a report from the Pediatric Brain Tumor Consortium.Apparent diffusion coefficient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy.Investigation of the diffusion abnormality index as a new imaging biomarker for early assessment of brain tumor response to radiation therapy.Diffusion-weighted and multiphase contrast-enhanced MRI as surrogate markers of response to neoadjuvant sunitinib in metastatic renal cell carcinoma Weekly response assessment of involved lymph nodes to radiotherapy using diffusion-weighted MRI in oropharynx squamous cell carcinoma.The emerging role of diffusion-weighted MRI in prostate cancer management.Bevacizumab-based therapy in relapsed glioblastoma: rationale and clinical experience to date.Diffusion MRI Phenotypes Predict Overall Survival Benefit from Anti-VEGF Monotherapy in Recurrent Glioblastoma: Converging Evidence from Phase II Trials.Recombinant interleukin-1 receptor antagonist conjugated to superparamagnetic iron oxide nanoparticles for theranostic targeting of experimental glioblastoma Bevacizumab for malignant gliomas: current indications, mechanisms of action and resistance, and markers of response.MRI in Glioma Immunotherapy: Evidence, Pitfalls, and Perspectives.Evaluation of low-grade glioma structural changes after chemotherapy using DTI-based histogram analysis and functional diffusion maps.Enhancing tumor apparent diffusion coefficient histogram skewness stratifies the postoperative survival in recurrent glioblastoma multiforme patients undergoing salvage surgery.Subconjunctival bevacizumab for primary pterygium excision; a randomized clinical trial.Alterations in fiber pathways reveal brain tumor typology: a diffusion tractography study.Early response evaluation for recurrent high grade gliomas treated with bevacizumab: a volumetric analysis using diffusion-weighted imaging.Correlation of 18F-FDG PET and MRI Apparent Diffusion Coefficient Histogram Metrics with Survival in Diffuse Intrinsic Pontine Glioma: A Report from the Pediatric Brain Tumor Consortium.Infiltrative patterns of glioblastoma: Identification of tumor progress using apparent diffusion coefficient histograms.MRI and thallium-201 SPECT in the prediction of survival in glioma.Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma.Diffusion-weighted imaging is a sensitive biomarker of response to biologic therapy in enthesitis-related arthritis.Early biomarkers from dynamic contrast-enhanced magnetic resonance imaging to predict the response to antiangiogenic therapy in high-grade gliomas.Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastases.

P2860

Q26853308-E5387828-6666-4EC7-A600-FA224A8DE4C4 Q26853516-92272D9D-0B1D-4E22-B2FD-F19FD9ECFF6A Q27693208-09C469AB-27BC-474E-A716-DF25C2D1B308 Q30413713-0EC7D8E9-6BE8-46D4-8742-065C7895C94B Q30577397-70568002-1CF5-4F3F-BA8F-37EC21EEE094 Q30907831-65ACC4C5-5C80-4B30-99E6-46F756143B9C Q31037179-A1A402E2-ACB0-4647-B1DF-5B4B3619DCE1 Q33624735-366CD615-A217-4825-B93C-6283F5A7D967 Q33810394-0CA55F64-6901-494C-BE1E-616C8B44C22D Q35072927-83AA38EF-9C08-4FE3-BB38-4F839A138EE4 Q35196265-D8FDCEAE-37D8-4A8A-8993-4C14FE0FCBCB Q35570253-01027CAC-7EE4-4684-BF2B-BA4F8CC00AC2 Q35880556-8C80DDF6-0A10-4268-A297-CFB6663D015F Q35895174-55003B26-ACB0-4B31-A594-15646E37F023 Q36374577-FC3AC00B-5C97-43A2-94CA-B0988F93D1A5 Q36484869-E29E25FA-59E1-4783-8336-69B224FC2A79 Q36641544-04F67523-5B1B-4A5A-B2F3-13B8436E7403 Q36785126-EC81F501-3CF5-41B5-8B4D-27246569ECAA Q37359333-87961794-FC64-46F1-A483-74DDD194971B Q37409700-9815C027-8289-4EF3-8840-857A33C7A60D Q37559090-7186ED08-9F12-49D3-B296-70E633F5B98B Q37713795-F9A38D96-F2F4-463D-BEE4-9999DC6EE55B Q37976257-AB7611CB-CF8E-4274-9B25-9E03F2AA4152 Q38068203-FFEA0AC4-D7E2-49DC-BC7C-54D1ACE677EC Q38706148-39A0A6DC-5022-4688-82AC-C647DD4D3F8F Q38916350-8DABA5BB-5E93-44C5-957C-4D04185F9659 Q39225820-2AB3A97C-506F-4FF4-BE9F-FD36109FDE73 Q39312420-EED3D0FA-DBB2-4985-81EF-8563E5B1A670 Q40595545-5BC92647-6611-48ED-84AC-8DB82DAADD42 Q40938974-16C2F64C-87EA-4483-A38B-B466DCA43923 Q41441751-02941E47-9D0E-4F29-9747-42C9E65B2494 Q42906258-D1F53DC9-1A46-45F9-B4B0-8DCF71EFEF8C Q45951765-1BA77785-C52C-43ED-81A5-E3579E5CF0AF Q48237727-11C730DF-BEFA-4846-BE70-C1C2A99882E0 Q48941681-B1B73663-8E92-4FB0-B993-1220F334C90A Q49051115-5D13DD27-E8AE-4F73-8925-42B77E6CA76E Q50540042-32DE5AE7-9547-487A-9DB8-87E26AB0E0AB Q51249813-FAF54BB6-14BD-49F4-88B8-8BBCCD034C47 Q52149377-36BC5E25-1C04-421A-B890-F56160B6E29B Q53302447-F74C3C6C-8917-4412-B5B5-54768C045A19

P2860

ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma.

http://www.wikidata.org/entity/Q34712780

description

2010 nî lūn-bûn

@nan

2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

ADC histograms predict respons ...... h recurrent high-grade glioma.

@ast

ADC histograms predict respons ...... h recurrent high-grade glioma.

@en

ADC histograms predict respons ...... h recurrent high-grade glioma.

@nl

type

label

ADC histograms predict respons ...... h recurrent high-grade glioma.

@ast

ADC histograms predict respons ...... h recurrent high-grade glioma.

@en

ADC histograms predict respons ...... h recurrent high-grade glioma.

@nl

prefLabel

ADC histograms predict respons ...... h recurrent high-grade glioma.

@ast

ADC histograms predict respons ...... h recurrent high-grade glioma.

@en

ADC histograms predict respons ...... h recurrent high-grade glioma.

@nl

P1433

Q34712780-D45EF648-8B26-45C4-B3B7-FB9905B2F9B9

P1476

Q34712780-76B35A94-26B2-44B8-B1A5-3028955AF200

P2093

Q34712780-25AC9682-E1CE-4292-BFE8-F1AF280D6603

Q34712780-2DA77DB0-A840-4658-A79B-51FBC9DA7AC0

Q34712780-44C54563-173F-4109-A192-0702AEE5D3D7

Q34712780-471B31C8-38CC-4A50-AD4E-FA2079E06091

Q34712780-4EC7C670-A16A-473F-8A11-BBAB0849CD1C

Q34712780-83F7DFAD-83EE-4F8D-BB87-B196090EC0D7

Q34712780-875B2619-C8FE-46AC-B7EF-0B0A8BB50FEF

Q34712780-89B96A3A-05E3-4701-9461-FBB347BD5EEF

Q34712780-C805FB72-CA1D-42FC-A5D3-A4F248878458

P2860

Q34712780-0900D187-F381-45FD-970B-827FC44D5774

Q34712780-09645A61-81CF-489F-B788-DAEC93054F14

Q34712780-0F5390D7-1528-4479-A56E-209ECCA83338

Q34712780-12D5D6F4-B585-47C9-8664-1FC8A864C605

Q34712780-1C35123E-88E5-47F4-9457-904CFE9CF696

Q34712780-23A9C5C0-54BF-4BEE-8E72-B73B5739CCB5

Q34712780-29730DF2-E3F3-4D37-AF20-8C171C8753DA

Q34712780-33C88D95-8215-48E0-9D9A-191A04C8D186

Q34712780-365BB88B-F651-48AF-BCB7-CFD18E8182EB

Q34712780-37532E22-309B-4126-870B-377C26F6DB38

P2888

Q34712780-23144A24-8C95-4A4A-9002-FF844BA68F17

P304

Q34712780-3E75801B-2F51-4CE6-BFF6-2AD328C1893A

P31

Q34712780-785E2794-8AC8-439D-80F4-FC14EDBA37EF

P356

Q34712780-D6D42133-BD1C-4183-9CFD-639F08B2D99E

P433

Q34712780-7167640E-3DE9-4138-A794-C3508EFD711D

P478

Q34712780-28540E99-A5C7-4BAA-BE98-154C8131170C

P50

Q34712780-B975EE29-7523-4ABC-AEB4-2D7231E1869D

P577

Q34712780-6D92FE91-1801-4881-AA6F-6BF2E1C8FECE

P5875

Q34712780-ABAF1C37-9946-49D3-A0B6-6B90994CA34E

P6179

Q34712780-FBBF0B61-0ADD-4825-B72A-2A16A4EC2817

P698

Q34712780-7FF3643F-3CF8-43E2-AAE3-A32A417DF408

P921

Q34712780-C083A785-2E91-4469-BE71-09007D3F4425

P932

Q34712780-B52A103A-FB25-41A0-B5FE-CDC58956E9E9

P356

S00234-010-0808-0

P1433

P1476

ADC histograms predict respons ...... h recurrent high-grade glioma.

@en

P2093

Georg Goebel

http://www.w3.org/2001/XMLSchema#string

Gerd Tinkhauser

http://www.w3.org/2001/XMLSchema#string

Günther Stockhammer

http://www.w3.org/2001/XMLSchema#string

Herwig Kostron

http://www.w3.org/2001/XMLSchema#string

Markus Hutterer

http://www.w3.org/2001/XMLSchema#string

Michael Schocke

http://www.w3.org/2001/XMLSchema#string

Ozgür Güler

http://www.w3.org/2001/XMLSchema#string

Thaddaeus Gotwald

http://www.w3.org/2001/XMLSchema#string

Wolfgang Recheis

http://www.w3.org/2001/XMLSchema#string

P2860

Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging

K-ras mutations and benefit from cetuximab in advanced colorectal cancer.

Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma

User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability

AZD2171, a pan-VEGF receptor tyrosine kinase inhibitor, normalizes tumor vasculature and alleviates edema in glioblastoma patients.

Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors.

Correlation of diffusion-weighted MR imaging with cellularity of renal tumours.

Dynamic imaging of emerging resistance during cancer therapy.

The role of diffusion-weighted imaging in the differential diagnosis of intracranial cystic mass lesions: a report of 147 lesions.

Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology.

P2888

s00234-010-0808-0

P304

291-302

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S00234-010-0808-0

http://www.w3.org/2001/XMLSchema#string

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

53

http://www.w3.org/2001/XMLSchema#string

P50

Martha Nowosielski

P577

2010-12-02T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

49652404

http://www.w3.org/2001/XMLSchema#string

P6179

1023494527

http://www.w3.org/2001/XMLSchema#string

P698

21125399

http://www.w3.org/2001/XMLSchema#string

P921

P932

3063200

http://www.w3.org/2001/XMLSchema#string