scholarly article | Q13442814 |
P356 | DOI | 10.1007/S00330-013-2901-3 |
P698 | PubMed publication ID | 23732687 |
P50 | author | Lars A. Akslen | Q11983239 |
Helga Salvesen | Q27506003 | ||
Ingfrid S Haldorsen | Q30512739 | ||
Jone Trovik | Q42385777 | ||
Line Bjørge | Q88738335 | ||
Henrica M J Werner | Q114341798 | ||
P2093 | author name string | Inger J Magnussen | |
Jenny A Husby | |||
Renate Grüner | |||
Ingunn Stefansson | |||
Torfinn Taxt | |||
Oyvind O Salvesen | |||
P2860 | cites work | Hallmarks of Cancer: The Next Generation | Q22252312 |
Molecular mechanisms and clinical applications of angiogenesis | Q29547314 | ||
Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. | Q33744660 | ||
A phase 3 trial of bevacizumab in ovarian cancer | Q34030022 | ||
Staging of endometrial cancer with MRI: guidelines of the European Society of Urogenital Imaging. | Q37385863 | ||
Myometrial invasion in endometrial cancer: diagnostic accuracy of diffusion-weighted 3.0-T MR imaging--initial experience. | Q37401547 | ||
Novel imaging techniques as response biomarkers in cervical cancer | Q37683110 | ||
Evaluation of depth of myometrial invasion and overall staging in endometrial cancer: comparison of diffusion-weighted and dynamic contrast-enhanced MR imaging. | Q37960457 | ||
Staging of endometrial carcinomas with MRI using traditional and novel MRI techniques | Q37961360 | ||
Markers for individualised therapy in endometrial carcinoma | Q38030768 | ||
Radiologic staging in patients with endometrial cancer: a meta-analysis | Q41689161 | ||
Dynamic contrast-enhanced MRI of cervical cancers: temporal percentile screening of contrast enhancement identifies parameters for prediction of chemoradioresistance | Q44075517 | ||
Single-channel blind estimation of arterial input function and tissue impulse response in DCE-MRI. | Q44358859 | ||
Standard 1.5-T MRI of endometrial carcinomas: modest agreement between radiologists. | Q45908100 | ||
An adiabatic approximation to the tissue homogeneity model for water exchange in the brain: I. Theoretical derivation | Q48331032 | ||
Iterative blind deconvolution in magnetic resonance brain perfusion imaging | Q48623670 | ||
Endometrial cancer: correlation of apparent diffusion coefficient with tumor grade, depth of myometrial invasion, and presence of lymph node metastases. | Q51554708 | ||
Semiquantitative and quantitative dynamic contrast-enhanced magnetic resonance imaging measurements predict radiation response in cervix cancer. | Q53385495 | ||
Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium | Q63199181 | ||
Endometrial cancer | Q63199203 | ||
Diffusion-weighted single-shot echo-planar imaging with parallel technique in assessment of endometrial cancer | Q80531685 | ||
Diffusion-weighted MR imaging of uterine endometrial cancer | Q80868097 | ||
Prediction and monitoring of treatment effect using T1-weighted dynamic contrast-enhanced magnetic resonance imaging in colorectal liver metastases: potential of whole tumour ROI and selective ROI analysis | Q84926285 | ||
P433 | issue | 10 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | endometrial carcinoma | Q18555222 |
P304 | page(s) | 2916-2925 | |
P577 | publication date | 2013-06-04 | |
P1433 | published in | European Radiology | Q5413071 |
P1476 | title | Dynamic contrast-enhanced MRI in endometrial carcinoma identifies patients at increased risk of recurrence | |
P478 | volume | 23 |
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Q37459631 | Increased microvascular proliferation is negatively correlated to tumour blood flow and is associated with unfavourable outcome in endometrial carcinomas |
Q47879262 | In vivo MR spectroscopy predicts high tumor grade in endometrial cancer |
Q61817355 | Plasma growth differentiation factor-15 is an independent marker for aggressive disease in endometrial cancer |
Q41878396 | Preoperative imaging markers and PDZ-binding kinase tissue expression predict low-risk disease in endometrial hyperplasias and low grade cancers |
Q48305261 | Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer |
Q35121869 | Preoperative tumor size at MRI predicts deep myometrial invasion, lymph node metastases, and patient outcome in endometrial carcinomas |
Q38436640 | Prognostic value of 18F-FDG uptake by regional lymph nodes on pretreatment PET/CT in patients with resectable colorectal cancer |
Q42317488 | Tissue and imaging biomarkers for hypoxia predict poor outcome in endometrial cancer |
Q49772175 | Tumour-microenvironmental blood flow determines a metabolomic signature identifying lysophospholipids and resolvin D as biomarkers in endometrial cancer patients |
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