standardised environment for radiomics analysis package  (MathWorks Inc)

Journal: Current Oncology

Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

doi: 10.3390/curroncol31010027

Figure Lengend Snippet: Inclusion and exclusion criteria adopted to select studies according to the PICOS model.

Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

Techniques: In Vitro, Imaging

Journal: Current Oncology

Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

doi: 10.3390/curroncol31010027

Figure Lengend Snippet: Radiomics quality score (RQS) assessment for all included articles.

Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

Techniques:

Journal: Current Oncology

Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

doi: 10.3390/curroncol31010027

Figure Lengend Snippet: Radiomics Clinical Studies in rectal cancer.

Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

Techniques: Selection, Biomarker Discovery, Diffusion-based Assay, Software, Plasmid Preparation

Journal: Current Oncology

Article Title: An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies

doi: 10.3390/curroncol31010027

Figure Lengend Snippet: Radiomics Clinical Studies in Liver primitive and secondary cancer.

Article Snippet: Granata et al. [ ] , To assess the association of RAS mutation status and radiomics-derived data by contrast enhanced-magnetic resonance imaging in liver metastases , A total of 76 patients with 130 liver metastases , The validation cohort consisted of a total of 24 patients among 76 patients. , Manual slice-by-slice segmentation was performed on each phase of VIBE T1-W images by two radiologists with fifteen years of experience on MR liver images , A total of 48 texture features by means of a package provided from MATLAB programming tools for radiomics analysis , The least absolute shrinkage and selection operator method was used to detect the robust features , Wilcoxon-Mann-Whitney U-test, receiver operating characteristic analysis, pattern recognition approaches with features selection approaches were considered.

Techniques: Selection, Biomarker Discovery, Mutagenesis, Imaging, Plasmid Preparation, Software, Construct, Diagnostic Assay, Magnetic Resonance Imaging

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Comparison between radiomics model and senior radiologists in training set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques: Comparison

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Comparison between radiomics model and senior radiologists in test set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques: Comparison

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Area under the curve between the radiomics model and the senior radiologists in the test set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques:

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Receiver operating characteristic between the radiomics model and radiologists in the whole set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques: