Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings-Reference-Cited by-同舟云学术

Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings

Published:2019-12 Issue:3 Volume:293 Page:583-591
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Meyer Mathias^ORCID,Ronald James^ORCID,Vernuccio Federica^ORCID,Nelson Rendon C.,Ramirez-Giraldo Juan Carlos,Solomon Justin,Patel Bhavik N.^ORCID,Samei Ehsan,Marin Daniele

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2019190928

Reference26 articles.

1. CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

2. Radiomics: Images Are More than Pictures, They Are Data

3. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

4. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

5. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Cited by 189 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. The reproducibility and predictivity of radiomic features extracted from dynamic contrast-enhanced computed tomography of hepatocellular carcinoma;PLOS ONE;2024-09-13

2. Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis;PLOS ONE;2024-09-11

3. Quantitative analysis of interstitial lung abnormalities on computed tomography to predict symptomatic radiation pneumonitis after lung stereotactic body radiotherapy;Radiotherapy and Oncology;2024-09

4. Enhancing the Clinical Utility of Radiomics: Addressing the Challenges of Repeatability and Reproducibility in CT and MRI;Diagnostics;2024-08-22

5. ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging;IEEE Journal of Biomedical and Health Informatics;2024-08