- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1432-1084
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
MRI grading for the prediction of prostate cancer aggressiveness ; day:8 ; month:11 ; year:2021 ; pages:1-9
European radiology ; (8.11.2021), 1-9
- Creator
-
Boschheidgen, M.
Schimmöller, Lars
Arsov, C.
Ziayee, F.
Morawitz, J.
Valentin, B.
Radke, K. L.
Giessing, M.
Esposito, I.
Albers, P.
Antoch, G.
Ullrich, T.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00330-021-08332-8
- URN
-
urn:nbn:de:101:1-2022012118271391493942
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Boschheidgen, M.
- Schimmöller, Lars
- Arsov, C.
- Ziayee, F.
- Morawitz, J.
- Valentin, B.
- Radke, K. L.
- Giessing, M.
- Esposito, I.
- Albers, P.
- Antoch, G.
- Ullrich, T.
- SpringerLink (Online service)
Other Objects (12)
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer
Prediction of grading of ovarian endometrioid carcinoma using conventional MRI features
Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue
Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study
Tumour blood flow for prediction of human prostate cancer aggressiveness: a study with Rubidium-82 PET, MRI and Na+/K+-ATPase-density
Evaluation of protein biomarkers of prostate cancer aggressiveness
Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study
Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness
Perfusion and permeability MRI in glioma grading
Malignant currents: sodium leak channel NALCN propels prostate cancer aggressiveness
AR-regulated ZIC5 contributes to the aggressiveness of prostate cancer
Human periprostatic adipose tissue promotes prostate cancer aggressiveness in vitro
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer
Prediction of grading of ovarian endometrioid carcinoma using conventional MRI features
Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue
Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study
Tumour blood flow for prediction of human prostate cancer aggressiveness: a study with Rubidium-82 PET, MRI and Na+/K+-ATPase-density
Evaluation of protein biomarkers of prostate cancer aggressiveness
Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study
Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness
Perfusion and permeability MRI in glioma grading
Malignant currents: sodium leak channel NALCN propels prostate cancer aggressiveness
AR-regulated ZIC5 contributes to the aggressiveness of prostate cancer
Human periprostatic adipose tissue promotes prostate cancer aggressiveness in vitro
Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer
Prediction of grading of ovarian endometrioid carcinoma using conventional MRI features
Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue
Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study
Tumour blood flow for prediction of human prostate cancer aggressiveness: a study with Rubidium-82 PET, MRI and Na+/K+-ATPase-density
Evaluation of protein biomarkers of prostate cancer aggressiveness
Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study
Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness
Perfusion and permeability MRI in glioma grading
Malignant currents: sodium leak channel NALCN propels prostate cancer aggressiveness
AR-regulated ZIC5 contributes to the aggressiveness of prostate cancer