Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction-Reference-Cited by-同舟云学术

Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction

Published:2018-12 Issue:3 Volume:289 Page:797-806
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Bae Sohi¹,Choi Yoon Seong¹^ORCID,Ahn Sung Soo¹,Chang Jong Hee¹,Kang Seok-Gu¹,Kim Eui Hyun¹,Kim Se Hoon¹,Lee Seung-Koo¹

Affiliation:

1. From the Department of Radiology, Research Institute of Radiological Science (S.B., Y.S.C., S.S.A., S.K.L.), Department of Neurosurgery (J.H.C., S.G.K., E.H.K.), and Department of Pathology (S.H.K.), Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea; and Department of Radiology, National Health Insurance Service Ilsan Hospital, Goyang, Korea (S.B.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018180200

Reference35 articles.

1. CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012

2. Survival analysis in patients with glioblastoma multiforme: Predictive value of choline-to-n-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume

3. Radiotherapy is effective in patients with glioblastoma multiforme with a limited prognosis and in patients above 70 years of age: A retrospective single institution analysis

4. A Prognostic Model Based on Preoperative MRI Predicts Overall Survival in Patients with Diffuse Gliomas

5. Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas

Cited by 171 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated MRI radiomics, tumor microenvironment, and clinical risk factors for improving survival prediction in patients with glioblastomas;Strahlentherapie und Onkologie;2024-09-09

2. Assessing the stability and discriminative ability of radiomics features in the tumor microenvironment: Leveraging peri-tumoral regions in vestibular schwannoma;European Journal of Radiology;2024-09

3. Impact of Preprocessing Parameters in Medical Imaging-Based Radiomic Studies: A Systematic Review;Cancers;2024-07-26

4. Unveiling divergent treatment prognoses in IDHwt-GBM subtypes through multiomics clustering: a swift dual MRI-mRNA model for precise subtype prediction;Journal of Translational Medicine;2024-06-18

5. A Radiomic Approach for Evaluating Intra-Subgroup Heterogeneity in SHH and Group 4 Pediatric Medulloblastoma: A Preliminary Multi-Institutional Study;Cancers;2024-06-18