نتایج جستجو برای: radiomic prediction mri

تعداد نتایج: 357714  

2016
Jacob Antunes Satish Viswanath Mirabela Rusu Laia Valls Christopher Hoimes Norbert Avril Anant Madabhushi

Studying early response to cancer treatment is significant for patient treatment stratification and follow-up. Although recent advances in positron emission tomography (PET) and magnetic resonance imaging (MRI) allow for evaluation of tumor response, a quantitative objective assessment of treatment-related effects offers localization and quantification of structural and functional changes in th...

Journal: :Gland surgery 2023

Background: The nuclear grading of ductal carcinoma in situ (DCIS) affects its clinical risk. aim this study was to investigate the possibility predicting DCIS, by magnetic resonance imaging (MRI)-based radiomics features. And develop a nomogram combining features and MRI semantic explore potential role radiomic assessment DCIS grading.

2017
Thibaud P Coroller Wenya Linda Bi Elizabeth Huynh Malak Abedalthagafi Ayal A Aizer Noah F Greenwald Chintan Parmar Vivek Narayan Winona W Wu Samuel Miranda de Moura Saksham Gupta Rameen Beroukhim Patrick Y Wen Ossama Al-Mefty Ian F Dunn Sandro Santagata Brian M Alexander Raymond Y Huang Hugo J W L Aerts

OBJECTIVES The clinical management of meningioma is guided by tumor grade and biological behavior. Currently, the assessment of tumor grade follows surgical resection and histopathologic review. Reliable techniques for pre-operative determination of tumor grade may enhance clinical decision-making. METHODS A total of 175 meningioma patients (103 low-grade and 72 high-grade) with pre-operative...

2016
Sean D. McGarry Sarah L. Hurrell Amy L. Kaczmarowski Elizabeth J. Cochran Jennifer Connelly Scott D. Rand Kathleen M. Schmainda Peter S. LaViolette

Magnetic resonance imaging (MRI) is used to diagnose and monitor brain tumors. Extracting additional information from medical imaging and relating it to a clinical variable of interest is broadly defined as radiomics. Here, multiparametric MRI radiomic profiles (RPs) of de novo glioblastoma (GBM) brain tumors is related with patient prognosis. Clinical imaging from 81 patients with GBM before s...

2017
Spyridon Bakas Hamed Akbari Aristeidis Sotiras Michel Bilello Martin Rozycki Justin S Kirby John B Freymann Keyvan Farahani Christos Davatzikos

Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imagin...

Journal: :World Journal of Surgical Oncology 2021

Abstract Background Medulloblastoma (MB) is the most common pediatric embryonal tumor. Accurate identification of cerebral spinal fluid (CSF) dissemination important in prognosis prediction. Both MRI central nervous system (CNS) and CSF cytology will appear false positive negative. Our objective was to investigate added value preoperative-enhanced T1-weighted image-based radiomic features clini...

Journal: :Physics in medicine and biology 2016
Stephen S F Yip Hugo J W L Aerts

Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized medicine. In this technical review, we describe ...

2017
Ming Fan Hui Li Shijian Wang Bin Zheng Juan Zhang Lihua Li

The purpose of this study was to investigate the role of features derived from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical information to predict the molecular subtypes of breast cancer. In particular, 60 breast cancers with the following four molecular subtypes were analyzed: luminal A, luminal B, human epidermal growth factor receptor-2 (...

Journal: :AJNR. American journal of neuroradiology 2018
M Zhou J Scott B Chaudhury L Hall D Goldgof K W Yeom M Iv Y Ou J Kalpathy-Cramer S Napel R Gillies O Gevaert R Gatenby

Radiomics describes a broad set of computational methods that extract quantitative features from radiographic images. The resulting features can be used to inform imaging diagnosis, prognosis, and therapy response in oncology. However, major challenges remain for methodologic developments to optimize feature extraction and provide rapid information flow in clinical settings. Equally important, ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید