Military Medical Research

Table 4 Applications of radiomics-based survival prediction

From: Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

Image modality	Number of patients	Cancer	Target	Number of radiomics features	Commercial or open-source software	Method	References
CT	878	Lung cancer and HNSCC	Patient survival	Unspecified	Matlab, R	ML: LR, Consensus clustering, Hierarchical clustering SM: Jaccard index, Pearson correlation analysis	[15]
CT	188	HNSCC	The death prognosis	107	PyRadiomics, 3D Slicer, Matlab	ML: LOOCV SM: Chi-square test DL: Deep learning artificial neural networks	[28]
FDG-PET	174	OPC	The risk of ACM	2–3	Matlab, Stata/MP	ML: LOOCV, Cox proportional-hazards regression, Fine and Gray’s proportional sub-hazards model, LR, fivefold CV SM: Kaplan–Meier analysis, log-rank test, Spearman correlation analysis	[29]
PET, CT, PET/CT	311	Oropharyngeal squamous cell carcinoma	PFS, OS	Unspecified	3D Slicer, PyRadiomics, R, ggplot2	ML: Random survival forest, Threefold stratified CV SM: t-test, Kaplan–Meier analysis, log-rank test, C-index	[30]
CT	44	Laryngeal and hypo-pharyngeal cancers	DFS	26	Perfusion-4, ROCKIT	ML: Two-loop leave-one-out, Linear discriminant analysis SM: t-test, ICC, Kappa analysis	[31]
MRI	136	EBV-related NPC	OS	2	Matlab, 3D Slicer, PyRadiomics	ML: Cox regression model, tenfold CV SM: Kaplan–Meier analysis, log-rank test, Mann–Whitney test or Spearman correlation analysis, ICC	[32]
MRI	504	NPC	Long-term survival	17	AccuContour, PyRadiomics, X-tile, R	ML: LASSO, Cox regression model, tenfold CV SM: Mann–Whitney U test or t-test, Kaplan–Meier analyses, log-rank test, Hosmer–Lemeshow test, C-index	[33]
MRI	236	Tongue cancer	DFS, OS	15/17/18/25/10	ITK-SNAP, AIMT, Python, R, SPSS	ML: PCA, SVM, Cox regression analysis, fivefold CV SM: DeLong test, Spearman correlation analysis, Kaplan–Meier analysis, log-rank test, ICC	[34]
MRI	346	Rectal cancer	3-year recurrence-free survival	4/5/10	GE Healthcare, 3D Slicer, R, SPSS	ML: LASSO, LR, Cox analysis SM: ICC, Wilcoxon test, Hosmer–Lemeshow test, t-test, Nonparametric test, Chi-square test and Fisher’s exact test, DeLong test	[35]

CT computed tomography, MRI magnetic resonance imaging, FDG fluorodeoxyglucose, PET positron emission tomography, ML machine learning, SM statistical method, DL deep learning, HNSCC head and neck squamous cell carcinoma, OPC oropharyngeal cancer, NPC nasopharyngeal carcinoma, ACM all-cause mortality, PFS progression-free survival, OS overall survival, DFS disease-free survival, LR logistic regression, LOOCV leave one out cross validation, CV cross validation, ICC intraclass correlation coefficients, LASSO least absolute shrinkage and selection operator, PCA principal component analysis, SVM support vector machine

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ISSN: 2054-9369

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