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The <t>3D</t> <t>CT</t> method using custom software aligning the tibia in the mechanical axis. The transverse plane to the mechanical axis is shown in blue and the 3D tibial torsion angle projected onto the plane on the right.
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Image Search Results


The 3D CT method using custom software aligning the tibia in the mechanical axis. The transverse plane to the mechanical axis is shown in blue and the 3D tibial torsion angle projected onto the plane on the right.

Journal: Journal of the Pediatric Orthopaedic Society of North America

Article Title: The Reliability of Measurements for Tibial Torsion: A Comparison of CT, MRI, Biplanar Radiography, and 3D Reconstructions With and Without Standardized Measurement Training

doi: 10.55275/JPOSNA-2023-661

Figure Lengend Snippet: The 3D CT method using custom software aligning the tibia in the mechanical axis. The transverse plane to the mechanical axis is shown in blue and the 3D tibial torsion angle projected onto the plane on the right.

Article Snippet: All ICC values relative to the standard reference of MatLab 3D CT are provided in .

Techniques: Software

Summary of radiomics model construction and evaluation

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Summary of radiomics model construction and evaluation

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Summary of statistical analysis for volume, the 15 robust  radiomics  features, and absorbed dose with Bonferroni correction

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Summary of statistical analysis for volume, the 15 robust radiomics features, and absorbed dose with Bonferroni correction

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Spearman correlation heat map for radiomics features, volume and absorbed dose

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Spearman correlation heat map for radiomics features, volume and absorbed dose

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Radiomics_robust + dose model order determination for OR (left) and progression (right): average AUC/c-index vs. number of top features included

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Radiomics_robust + dose model order determination for OR (left) and progression (right): average AUC/c-index vs. number of top features included

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Top 5 features for the combined models with robust  radiomics  features, volume, and absorbed dose

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Top 5 features for the combined models with robust radiomics features, volume, and absorbed dose

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Average AUC/c-index for individual and combined models with all the lesions, HCC lesions, and metastasis lesions

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Average AUC/c-index for individual and combined models with all the lesions, HCC lesions, and metastasis lesions

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

ROC curves for overall response (OR) at first follow-up with the combined model, radiomics alone model, and dose alone model

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: ROC curves for overall response (OR) at first follow-up with the combined model, radiomics alone model, and dose alone model

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques:

Calibration curves for dose, radiomics, and combined models for OR endpoint, with the slopes and intercepts available in the table

Journal: EJNMMI Physics

Article Title: Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

doi: 10.1186/s40658-020-00340-9

Figure Lengend Snippet: Calibration curves for dose, radiomics, and combined models for OR endpoint, with the slopes and intercepts available in the table

Article Snippet: Lesion contours and 90 Y PET images were input to an in-house-developed (Matlab, MathWorks Inc., Natick, MA) radiomics toolbox (benchmarked by image biomarker standardization—ISBI) that run as an extension on MIM.

Techniques: