scholarly journals CT texture analysis of Abdominal Lesions – Part II.: Tumors of the Kidney and Pancreas

Imaging ◽  
2021 ◽  
Author(s):  
Veronica Frank ◽  
Sonaz Shariati ◽  
Bettina Katalin Budai ◽  
Bence Fejér ◽  
Ambrus Tóth ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Pancreatic Tumors ◽  
Short Report ◽  
Kidney Tumors ◽  
Texture Parameters ◽  
Ct Texture Analysis ◽  
Abdominal Lesions ◽  
Significant Attention

ABSTRACTIt has been proven in a few early studies that radiomic analysis offers a promising opportunity to detect or differentiate between organ lesions based on their unique texture parameters. Recently, the utilization of CT texture analysis (CTTA) has been receiving significant attention, especially for response evaluation and prognostication of different oncological diagnoses. In this review article, we discuss the unique ability of radiomics and its subfield CTTA to diagnose lesions in the pancreas and kidney. We review studies in which CTTA was used for the classification of histology grades in pancreas and kidney tumors. We also review the role of radiogenomics in the prediction of the molecular and genetic subtypes of pancreatic tumors. Furthermore, we provide a short report on recent advancements of radiomic analysis in predicting prognosis and survival of patients with pancreatic and renal cancers.

Predictive role of CT texture analysis in patients with metastatic urothelial cancer treated with PD-1/PD-L1 inhibitors.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 424-424
Author(s):  
Francesco Alessandrino ◽  
Rahul Gujrathi ◽  
Amin Nassar ◽  
Arwa Alzaghal ◽  
Arvind Ravi ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Urothelial Cancer ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Contrast Enhanced Ct ◽  
Specificity And Sensitivity ◽  
Metastatic Urothelial Cancer ◽  
Ct Texture Analysis

424 Background: Reliable biomarkers to predict response of urothelial cancer to PD-1/PD-L1 inhibitors are still being investigated. Texture analysis represents underlying tumor heterogeneity and may serve as a predictor of response in urothelial cancer. The purpose of this study was to assess predictive ability of CT texture analysis for disease progression in patients with metastatic urothelial cancer treated with PD-1/PD-L1 inhibitor. Methods: In this IRB-approved HIPAA-compliant retrospective study, from total 93 consecutive patients with metastatic urothelial cancer treated with PD-1/PD-L1 inhibitors from 2013-2018, 43 patients with measurable disease per RECIST 1.1 criteria who had contrast-enhanced CT performed within three months after starting treatment were included. Progression-free survival was calculated based on serial follow-up CTs, and 11 patients without progression who did not reach 1 year follow-up were excluded. Texture features of measurable lesions on first follow-up CT were extracted (TexRAD Ltd, Feedback Plc, Cambridge, UK). Stepwise logistic regression analysis to identify patients who had progressive disease (PD) at 12 months was performed and performance assessed using receiver operator curves. Results: Of 32 included patients (24 men, 8 women; median age: 65 years) who had total 80 measurable lesions, 22 progressed by 12 months. On first follow-up CT, the entropy and mean of the lesions were higher (p = 0.04, p = 0.02) for patients with PD by 12 months. Calculated specificity and sensitivity of entropy (AUC = 0.79) were 90%, and 63%; of mean (AUC = 0.81) were 90%, and 50%. A predictive model including mean and entropy yielded 95% sensitivity, 80% specificity, 91% PPV, 89% NPV and 91% accuracy (AUC = 0.863) to identify patients with PD at 12 months. Conclusions: Texture analysis of CT performed within three months after starting PD-1/PD-L1 can help predict patients who progress by 12 months with high accuracy. Further studies investigating the correlation of texture analysis with survival endpoints may help validate the role of texture analysis as a biomarker to predict response to PD1/PD-L1 inhibitors.

Application of image texture analysis for varietal classification of barley

2012 ◽  
Vol 26 (1) ◽  
pp. 81-90 ◽  
Author(s):  
P. Zapotoczny
Keyword(s):  
Discriminant Analysis ◽  
Texture Analysis ◽  
Classification Accuracy ◽  
Image Texture ◽  
Image Texture Analysis ◽  
Texture Parameters ◽  
Varietal Classification ◽  
Variable Reduction ◽  
Barley Kernel

Application of image texture analysis for varietal classification of barleyThis paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 bit image. The results were processed statistically by variable reduction and general discriminant analysis. Classification accuracy was more than 99%.

scholarly journals CT Texture Analysis of Abdominal Lesions – Part I.: Liver lesions

Imaging ◽  
2021 ◽  
Author(s):  
Bettina Katalin Budai ◽  
Veronica Frank ◽  
Sonaz Shariati ◽  
Bence Fejér ◽  
Ambrus Tóth ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Liver Tumors ◽  
Machine Learning Techniques ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Non Invasive ◽  
Learning Techniques ◽  
Ct Texture Analysis ◽  
Malignant Liver ◽  
Abdominal Lesions

ABSTRACTArtificial Intelligence and the use of radiomics analysis have been of great interest in the last decade in the field of imaging. CT texture analysis (CTTA) is a new and emerging field in radiomics, which seems promising in the assessment and diagnosis of both focal and diffuse liver lesions. The utilization of CTTA has only been receiving great attention recently, especially for response evaluation and prognostication of different oncological diagnoses. Radiomics, combined with machine learning techniques, offers a promising opportunity to accurately detect or differentiate between focal liver lesions based on their unique texture parameters. In this review article, we discuss the unique ability of radiomics in the diagnostics and prognostication of both focal and diffuse liver lesions. We also provide a brief review of radiogenomics and summarize its potential role of in the non-invasive diagnosis of malignant liver tumors.

scholarly journals Ultrasonography in the Differentiation of Endometriomas from Hemorrhagic Ovarian Cysts: The Role of Texture Analysis

2021 ◽  
Vol 11 (7) ◽  
pp. 611
Author(s):  
Roxana-Adelina Ștefan ◽  
Paul-Andrei Ștefan ◽  
Carmen Mihaela Mihu ◽  
Csaba Csutak ◽  
Carmen Stanca Melincovici ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Diagnostic Value ◽  
Ovarian Cysts ◽  
Operating Characteristics ◽  
Low Level ◽  
Texture Model ◽  
Texture Parameters ◽  
Histological Characteristics ◽  
Independent Features

The ultrasonographic (US) features of endometriomas and hemorrhagic ovarian cysts (HOCs) are often overlapping. With the emergence of new computer-aided diagnosis techniques, this is the first study to investigate whether texture analysis (TA) could improve the discrimination between the two lesions in comparison with classic US evaluation. Fifty-six ovarian cysts (endometriomas, 30; HOCs, 26) were retrospectively included. Four classic US features of endometriomas (low-level internal echoes, perceptible walls, no solid components, and less than five locules) and 275 texture parameters were assessed for every lesion, and the ability to identify endometriomas was evaluated through univariate, multivariate, and receiver operating characteristics analyses. The sensitivity (Se) and specificity (Sp) were calculated with 95% confidence intervals (CIs). The texture model, consisting of seven independent predictors (five variations of difference of variance, image contrast, and the 10th percentile; 100% Se and 100% Sp), was able to outperform the ultrasound model composed of three independent features (low-level internal echoes, perceptible walls, and less than five locules; 74.19% Se and 84.62% Sp) in the diagnosis of endometriomas. The TA showed statistically significant differences between the groups and high diagnostic value, but it remains unclear if the textures reflect the intrinsic histological characteristics of the two lesions.

scholarly journals Tocilizumab effects in COVID-19 pneumonia: role of CT texture analysis in quantitative assessment of response to therapy

2021 ◽  
Author(s):  
Giorgio Maria Masci ◽  
Franco Iafrate ◽  
Fabio Ciccarelli ◽  
Giacomo Pambianchi ◽  
Valeria Panebianco ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Quantitative Assessment ◽  
Response To Therapy ◽  
Ct Texture Analysis

scholarly journals Nature of viruses and the radical change in viral taxonomy

2021 ◽  
pp. 266-270
Author(s):  
V. V. Makarov ◽  
L. P. Buchatsky
Keyword(s):  
Radical Change ◽  
International Committee ◽  
Short Report ◽  
Metagenomic Sequencing ◽  
Natural Ecosystems ◽  
Rank One ◽  
Conserved Genes ◽  
Modern Classification

A short report is devoted to the radical changes in the taxonomy of viruses. The metagenomic sequencing has revealed the presence of a vast variety of viruses in diverse environmental samples without any connections with banal parasitism, infectivity, or pathogenicity. The understanding of viruses has expanded beyond the original parasitic–pathogen model, and now virologists recognize the role of viruses in host regulation and the maintenance of natural ecosystems. Co-evolution of the viral and cellular genomes includes mutual horizontal gene transfer and joint development of new biological functions, such as the mechanism of phylogenesis and phylodynamics of coactants. The concepts of the origin of viruses and their relation to the Universal Tree of Life are formulated. In this regard, the International Committee on the Taxonomy of Viruses (ICTV) changed the previous Code of their classification hierarchy from five ranks to a fifteen-rank one, that emulates a Linnaean framework and accommodates the entire spectrum of genetic divergence in the virosphere. Changes in the rank hierarchy are based on the evolution of the recognition of virus taxa over time, from a traditional phenotype-based characterization process to a multistage process that includes comparative sequence analyses of conserved genes and proteins, including gene phylogeny, gene synteny and shared gene content. The ICTV, that oversees the official classification of viruses and nomenclature of taxa, accepts possible non-hierarchical classifications of viruses beyond taxonomic attribution. The above provisions are illustrated with schemes of chimeric polyphyletic origin of viruses and a new rank structure; the table gives examples of the modern classification of viruses that cause some socially significant infections.

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