Introduction: To determine the performance of texture analysis and conventional MRI parameters in predicting tumoral response to neoadjuvant chemotherapy and to assess whether a relationship exists between texture tissue heterogeneity and histological type of uterine cervix cancer.
Method And Materials: Twenty-eight patients with local advanced cervical cancer (FIGO IB2-IIIB), underwent MRI before chemotherapy. Texture analysis parameters were quantified on T2-weighted sequences, as well as the maximum diameter expressed in mm. ADC values were obtained on the ADC map. Statistical analysis included unpaired t test and ROC curve.
Results: No statistical correlation was found between conventional parameters and response to NACT. Mean and skewness showed a strong correlation with the histological type: Adenocarcinomas presented higher mean and skewness values (69.8 ± 10.5 and 0.55 ± 0.19) in comparison with squamous cell carcinomas. Using a cutoff value ≥ 29 for mean it was possible to differentiate the two histological types with a sensitivity of 100% and a specificity of 81%. Kurtosis showed a positive correlation with tumor response to NACT resulting higher in responders (v.m. 5.7 ± 1.1) in comparison with non-responders (2.3 ± 0.5). The optimal Kurtosis cutoff value for the identification of non-responders tumors was ≤ 3.7 with a sensitivity of 92% and a specificity of 75%.
Conclusion: Texture analysis applied to T2-weighted images of uterine cervical cancer exceeded the role of conventional prognostic factors in predicting tumoral response; moreover, they showed a potential role to differentiate histological tumor types.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11547-019-01055-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigations on segmentation-based fractal texture for texture classification in the presence of Gaussian noise.
PLoS One
January 2025
Department of Information Technology, Politeknik Negeri Padang, Padang, Sumatera Barat, Indonesia.
Texture is a significant component used for several applications in content-based image retrieval. Any texture classification method aims to map an anonymously textured input image to one of the existing texture classes. Extensive ranges of methods for labeling image texture were proposed earlier.
View Article and Find Full Text PDFUnraveling the genetic architecture of blueberry fruit quality traits: major loci control organic acid content while more complex genetic mechanisms control texture and sugar content.
BMC Plant Biol
January 2025
Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA.
Background: Fruit quality traits, including taste, flavor, texture, and shelf-life, have emerged as important breeding priorities in blueberry (Vaccinium corymbosum). Organic acids and sugars play crucial roles in the perception of blueberry taste/flavor, where low and high consumer liking are correlated with high organic acids and high sugars, respectively. Blueberry texture and appearance are also critical for shelf-life quality and consumers' willingness-to-pay.
View Article and Find Full Text PDFComparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis.
Sci Rep
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Automated tools for quantification of idiopathic pulmonary fibrosis (IPF) can aid in ensuring reproducibility, however their complexity and costs can differ substantially. In this retrospective study, two automated tools were compared in 45 patients with biopsy proven (12/45) and imaging-based (33/45) IPF diagnosis (mean age 74 ± 9 years, 37 male) for quantification of pulmonary fibrosis in CT. First, a tool that identifies multiple characteristic lung texture features was applied to measure multi-texture fibrotic lung (MTFL) by combining the amount of ground glass, reticulation, and honeycombing.
View Article and Find Full Text PDFPrediction of the toughness of date palm fruit.
Sci Rep
January 2025
Department of Water Relations and Field Irrigation, Agricultural and Biological Research institute, National Research Centre, Giza, Egypt.
This study aimed to predict the toughness of date palm fruit (Barhi, Saqie, and Khodry varieties) at different ripening stages (Khalal, Rutab, and Tamar) using Hertz Theory by evaluating the physical and mechanical characteristics of the fruits. Physical measurements revealed that high moisture content in the Khalal stage led to larger dimensions and mass across all varieties, with Barhi dates showing a moisture content of 63.31%, which decreased to 32.
View Article and Find Full Text PDFMagnetic vortex: Fundamental physics, developments, and device applications.
J Phys Condens Matter
January 2025
Institute of Engineering & Management, Department of Basic Science and Humanities, Institute of Engineering & Management, Salt Lake Electronics Complex, Sector V, Salt Lake, Kolkata 700091, India, University of Engineering & Management, University Area, Plot No. III, B/5, New Town Road, Action Area III, Newtown, Kolkata 700160, India, Calcutta, West Bengal, 700091, INDIA.
A magnetic vortex (MV) is one of the fundamental and topologically nontrivial spin textures in condensed matter physics. Magnetic vortices are usually the ground states in geometrically restricted ferromagnets with zero magnetocrystalline anisotropy. Magnetic vortices have recently been proposed for use in a variety of spintronics applications due to their resistance to thermal perturbations, flexibility in changing core polarity, simple patterning procedure, and potential uses in magnetic data storage with substantial density, sensors for the magnetic field, devices for logic operations, and other related fields.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!