Quantitative Ultrasound Imaging for the Differentiation between Fresh and Decellularized Mouse Kidneys

Alnazer, Israa; Falou, Omar; Nasr, Remie; Azar, Danielle; Hysi, Eno; Wirtzfeld, Lauren A.; Berndl, Elizabeth S. L.; Kolios, Michael C.

doi:10.1109/embc.2019.8856518

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…The total number of extracted features was 321 for each patient. In an attempt to get rotation-invariant features, Gabor, GRLM, and GLCM features were averaged over all directions 14 . The total number of textures was turned to 140 for each patient.…”

Section: Methodsmentioning

confidence: 99%

“…Textural features, derived from mathematical models, have the potential to reflect the tissue heterogeneity by analyzing gray-levels spatial arrangement and describing pixels relationship and gray-levels frequencies as well. [14][15][16][17] In terms of renal mass identification, textures have shown their ability to accurately discriminate renal lesions subtypes. 18 Moreover, textures were found to be promising in ccRCC Fuhrman and WHO/ISUP nuclear grading.…”

Section: Introductionmentioning

confidence: 99%

“…Textures offer quantitative information from the gray-level pixels reflecting tissue micro- and macro-structure of the selected organ or tumor, generally imperceptible to human eyes. Textural features, derived from mathematical models, have the potential to reflect the tissue heterogeneity by analyzing gray-levels spatial arrangement and describing pixels relationship and gray-levels frequencies as well 14 – 17 In terms of renal mass identification, textures have shown their ability to accurately discriminate renal lesions subtypes 18 .…”

Section: Introductionmentioning

confidence: 99%

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Usefulness of computed tomography textural analysis in renal cell carcinoma nuclear grading

et al. 2022

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Purpose: To evaluate the usefulness of computed tomography (CT) texture descriptors integrated with machine-learning (ML) models in the identification of clear cell renal cell carcinoma (ccRCC) and for the first time papillary renal cell carcinoma (pRCC) tumor nuclear grades [World Health Organization (WHO)/International Society of Urologic Pathologists (ISUP) 1, 2, 3, and 4].Approach: A total of 143 ccRCC and 21 pRCC patients were analyzed in this study. Texture features were extracted from late arterial phase CT images. A complete separation of training/ validation and testing subsets from the beginning to the end of the pipeline was adopted. Feature dimension was reduced by collinearity analysis and Gini impurity-based feature selection. The synthetic minority over-sampling technique was employed for imbalanced datasets. The ML classifiers were logistic regression, SVM, RF, multi-layer perceptron, and K-NN. The differentiation between low grades/ high grades, grade 1/grade 2, grade 3/grade 4, and between all grades was assessed for ccRCC and pRCC datasets. The classification performance was assessed and compared by certain metrics.Results: Textures-based classifiers were able to efficiently identify ccRCC and pRCC grades. An accuracy and area under the characteristic operating curve (AUC) up to 91%/0.9, 91%/0.9, 90%/0.9, and 88%/1 were reached when discriminating ccRCC low grades/ high grades, grade 1/ grade 2, grade 3/grade 4, and all grades, respectively. An accuracy and AUC up to 96%/1, 81%/ 0.8, 86%/0.9, and 88%/0.9 were found when differentiating pRCC low grades/ high grades, grade 1/grade 2, grade 3/grade 4, and all grades, respectively. Conclusion:CT texture-based ML models can be used to assist radiologist in predicting the WHO/ISUP grade of ccRCC and pRCC pre-operatively.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Usefulness of computed tomography textural analysis in renal cell carcinoma nuclear grading

et al. 2022

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“…8 One group of techniques reduces systemdependent effects by utilizing raw radiofrequency (RF) data and calibrated phantoms with known acoustic properties to derive fundamental tissue parameters, such as backscatter coefficient (BSC). 9,10 The efficacy of the BSC for normal and diseased tissue characterization has been demonstrated by several authors in a variety of organs such as the liver, 11 kidney, 12 and prostate, 13 though utilization in skeletal muscle has been lacking.…”

Section: Introductionmentioning

confidence: 99%

High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility

Wu,

Barrere,

Ashir

et al. 2023

Ultrason Imaging

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This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy volunteer with normal rotator cuff muscles and a patient with chronic massive rotator cuff injury and substantial muscle degeneration. The results suggest that BSC is a promising method for assessing rotator cuff muscles in both control and pathological subjects, even when operators were free to adjust system settings (depth, level of focus, and time-gain compensation). Measurements were repeatable and reproducible across the different operators and ultrasound imaging platforms. In contrast, grayscale and GLCM analyses were found to be less reliable in this setting, with significant measurement variability. Overall, the repeatability and reproducibility measurements of BSC indicate its potential as a diagnostic tool for rotator cuff muscle evaluation.

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Usefulness of Functional MRI Textures in the Evaluation of Renal Function

Alnazer

Falou

Urruty

et al. 2021

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)

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Quantitative Ultrasound Imaging for the Differentiation between Fresh and Decellularized Mouse Kidneys

Cited by 3 publications

References 15 publications

Usefulness of computed tomography textural analysis in renal cell carcinoma nuclear grading

Usefulness of computed tomography textural analysis in renal cell carcinoma nuclear grading

High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility

Usefulness of Functional MRI Textures in the Evaluation of Renal Function

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