False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
Explore this paper's citation graph
- Type
- review
- Published
- 2015-05-04
- Cited by
- 325
- References
- 69
- Access
- Open access
- OpenAlex
- https://openalex.org/W1892105223
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6732598
Keywords
Type I and type II errors, Statistics, Positron emission tomography, Mathematics, Statistical significance
References
- Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities
- Metastatic progression of breast cancer: insights from 50 years of autopsies
- Spatial-Temporal FDG-PET Features for Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemoradiotherapy
- Bivariate median splits and spurious statistical significance.
- Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival.
- The clonal evolution of tumor cell populations.
- Nasopharyngeal carcinoma: investigation of intratumoral heterogeneity with FDG PET/CT.
- Testing multiple statistical hypotheses resulted in spurious associations: a study of astrological signs and health.
- Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
- Research: increasing value, reducing waste 2
- Spatial and Temporal Heterogeneity in High-Grade Serous Ovarian Cancer: A Phylogenetic Analysis
- The promise and limits of PET texture analysis
- Why do so many prognostic factors fail to pan out?
- Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy
- Are Pretreatment 18F-FDG PET Tumor Textural Features in Non–Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?
- Hepatitis B immunisation and reactive arthritis
- Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker.
- Textural features corresponding to textural properties
- Evaluation of Hepatic Tumor Response to Yttrium-90 Radioembolization Therapy using Texture Signatures Generated from Contrast-Enhanced CT Images
- Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.
Cited by
- Tumor Texture Analysis in PET: Where Do We Stand?
- Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs
- A Novel Metric for Quantification of Homogeneous and Heterogeneous Tumors in PET for Enhanced Clinical Outcome Prediction
- Developments in oncological positron emission tomography/computed tomography assessment.
- Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
- 18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
- Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non–Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235
- PICS: Pathway Informed Classification System for cancer analysis using gene expression data
- Multi-technique hybrid imaging in PET/CT and PET/MR: what does the future hold?
- Increasing 18F-FDG PET/CT Capabilities in Radiotherapy for Lung and Esophageal Cancer via Image Feature Analysis
- Characterization of PET/CT images using texture analysis: the past, the present… any future?
- Applications and limitations of radiomics
- Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials
- Computational resources for radiomics
- Pathway-Informed Classification System (PICS) for Cancer Analysis Using Gene Expression Data
- Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer
- Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data
- Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging
- Textural Analysis to Assess Heterogeneity in Breast Cancer
- Texture analysis of medical images for radiotherapy applications.
Related papers
- Accurate error control in high-dimensional association testing using conditional false discovery rates
- Simultaneous False-Decision Error Rates in Master Protocols with Shared Control: False Discovery Rate Perspective
- Mixed Directional False Discovery Rate Control in Multiple Pairwise Comparisons Using Weighted P-values
- A modified Benjamini–Hochberg multiple comparisons procedure for controlling the false discovery rate
- Hunting for Significance With the False Discovery Rate
- ERRORS IN HYPOTHESIS TESTING: AN OVERVIEW
- Controlling Error Rates with Multiple Positively-Dependent Tests
- Controlling the rate of Type I error over a large set of statistical tests.