Cargando…

Whole-Lesion CT Texture Analysis as a Quantitative Biomarker for the Identification of Homogeneous Renal Tumors

Renal tumors are very common in the urinary system, and the preoperative differential diagnosis of homogeneous renal tumors remains a challenge. This study aimed to evaluate the feasibility of the whole-lesion CT texture analysis for the identification of homogeneous renal tumors including clear cel...

Descripción completa

Detalles Bibliográficos
Autores principales:	Meng, Xiaoyan, Li, Shichao, Feng, Cui, Hu, Daoyu, Li, Zhen, Niu, Yonghua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781849/ https://www.ncbi.nlm.nih.gov/pubmed/36556513 http://dx.doi.org/10.3390/life12122148

Ejemplares similares

Differentiation of atypical pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas: Using whole‐tumor CT texture analysis as quantitative biomarkers
por: Li, Jiali, et al.
Publicado: (2018)

Primary Gastro-Intestinal Lymphoma and Gastro-Intestinal Adenocarcinoma: An Initial Study of CT Texture Analysis as Quantitative Biomarkers for Differentiation
por: Ding, Lin, et al.
Publicado: (2021)

Tumor heterogeneity in gastrointestinal stromal tumors of the small bowel: volumetric CT texture analysis as a potential biomarker for risk stratification
por: Feng, Cui, et al.
Publicado: (2018)

Evaluation of Whole-Tumor Texture Analysis Based on MRI Diffusion Kurtosis and Biparametric VI-RADS Model for Staging and Grading Bladder Cancer
por: Meng, Xiaoyan, et al.
Publicado: (2023)

Assessment of renal function using magnetic resonance quantitative histogram analysis based on spatial labeling with multiple inversion pulses
por: Liang, Ping, et al.
Publicado: (2021)

Differentiating malignant from benign gastric mucosal lesions with quantitative analysis in dual energy spectral computed tomography: Initial experience
por: Meng, Xiaoyan, et al.
Publicado: (2017)

Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline?
por: Li, Anqin, et al.
Publicado: (2022)

Clinical and Radiological Features of Urachal Carcinoma and Infection
por: Li, Shichao, et al.
Publicado: (2021)

Assessment of different mathematical models for diffusion‐weighted imaging as quantitative biomarkers for differentiating benign from malignant solid hepatic lesions
por: Hu, Yao, et al.
Publicado: (2018)

Whole lesion quantitative CT evaluation of renal cell carcinoma: differentiation of clear cell from papillary renal cell carcinoma
por: Chen, Frank, et al.
Publicado: (2015)

CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers
por: Liu, Shunli, et al.
Publicado: (2018)

Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT
por: Meng, Jie, et al.
Publicado: (2017)

Prediction of the World Health Organization Grade of rectal neuroendocrine tumors based on CT histogram analysis
por: Liang, Ping, et al.
Publicado: (2020)

CT texture analysis of pulmonary lesions in patients suspected for lung cancer
por: Andersen, MB, et al.
Publicado: (2014)

CT texture analysis of histologically proven benign and malignant lung lesions
por: Digumarthy, Subba R., et al.
Publicado: (2018)

Rectal Cancer Invasiveness: Whole-Lesion Diffusion-Weighted Imaging (DWI) Histogram Analysis by Comparison of Reduced Field-of-View and Conventional DWI Techniques
por: Peng, Yang, et al.
Publicado: (2019)

(18)F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma
por: Wang, Tong, et al.
Publicado: (2019)

A New Texture Descriptor: The Homogeneous Local Binary Pattern (HLBP)
por: Al Saidi, Ibtissam, et al.
Publicado: (2020)

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps
por: Sadeghi-Naini, Ali, et al.
Publicado: (2017)

Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methods
por: Osapoetra, Laurentius O., et al.
Publicado: (2020)

Radiomic analysis of pulmonary ground-glass opacity nodules for distinction of preinvasive lesions, invasive pulmonary adenocarcinoma and minimally invasive adenocarcinoma based on quantitative texture analysis of CT
por: Li, Wei, et al.
Publicado: (2018)

Noninvasive assessment of renal function and fibrosis in CKD patients using histogram analysis based on diffusion kurtosis imaging
por: Yuan, Guanjie, et al.
Publicado: (2022)

MRI whole-lesion texture analysis on ADC maps for the prognostic assessment of ischemic stroke
por: Zhang, Yuan, et al.
Publicado: (2022)

Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma
por: Yang, Guangjie, et al.
Publicado: (2019)

COVID-index: A texture-based approach to classifying lung lesions based on CT images
por: de Carvalho Brito, Vitória, et al.
Publicado: (2021)

CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma
por: Feng, Zhan, et al.
Publicado: (2019)

Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma
por: Zhang, Yuhan, et al.
Publicado: (2020)

Quantitative CT texture analysis for diagnosing systemic sclerosis: Effect of iterative reconstructions and radiation doses
por: Milanese, Gianluca, et al.
Publicado: (2019)

CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma – a quantitative analysis
por: Eilaghi, Armin, et al.
Publicado: (2017)

Alteration of gray matter texture features over the whole brain in medication-overuse headache using a 3-dimentional texture analysis
por: Chen, Zhiye, et al.
Publicado: (2017)

Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia
por: Guan, Xiaojun, et al.
Publicado: (2021)

CT Texture analysis and CT scores for characterization of fluid collections
por: Meyer, Hans-Jonas, et al.
Publicado: (2021)

CT and MR imaging of cystic renal lesions
por: Agnello, Francesco, et al.
Publicado: (2020)

The combination of a reduction in contrast agent dose with low tube voltage and an adaptive statistical iterative reconstruction algorithm in CT enterography: Effects on image quality and radiation dose
por: Feng, Cui, et al.
Publicado: (2018)

Tocilizumab effects in COVID-19 pneumonia: role of CT texture analysis in quantitative assessment of response to therapy
por: Masci, Giorgio Maria, et al.
Publicado: (2021)

CT Perfusion in the Characterisation of Renal Lesions: An Added Value to Multiphasic CT
por: Mazzei, Francesco Giuseppe, et al.
Publicado: (2014)

Reconstructed SPECT images of (177)Lu homogeneous cylindrical phantom used for calibration and texture analysis
por: Mezzenga, Emilio, et al.
Publicado: (2022)

Assessment of Response to Chemotherapy in Pancreatic Cancer with Liver Metastasis: CT Texture as a Predictive Biomarker
por: Cheng, Sihang, et al.
Publicado: (2021)

Quantitative stochastic homogenization and large-scale regularity
por: Armstrong, Scott, et al.
Publicado: (2019)

Image texture and radiation dose properties in CT
por: Mozejko, Dawid, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_q97vdtht1mamklj66sj74v3538