Trial reportJournal of computer assisted tomography
Texture Analysis of Non-Contrast-Enhanced Computed Tomography for Assessing Angiogenesis and Survival of Soft Tissue Sarcoma.
Trial report in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CT radiomics for differentiating oncocytoma from renal cell carcinomas: Systematic review and meta-analysis.Clinical imaging · 2023Pooled it
- Response prediction of neoadjuvant chemoradiation therapy in locally advanced rectal cancer using CT-based fractal dimension analysis.European radiology · 2022Trial
- Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer.Annals of gastroenterological surgery · 2025Article
- The effect of CT texture-based analysis using machine learning approaches on radiologists' performance in differentiating focal-type autoimmune pancreatitis and pancreatic duct carcinoma.Japanese journal of radiology · 2022Article
- Imaging Hallmarks of Sarcoma Progression Via X-ray Computed Tomography: Beholding the Flower of Evil.Cancers · 2022Review
- Metastatic melanoma treated by immunotherapy: discovering prognostic markers from radiomics analysis of pretreatment CT with feature selection and classification.International journal of computer assisted radiology and surgery · 2022Article
- Grading of soft tissues sarcomas using radiomics models: Choice of imaging methods and comparison with conventional visual analysis.Research in diagnostic and interventional imaging · 2022Article
- Using texture analysis in the development of a potential radiomic signature for early identification of hepatic metastasis in colorectal cancer.European journal of radiology open · 2022Article
- Assessment of Response to Chemotherapy in Pancreatic Cancer with Liver Metastasis: CT Texture as a Predictive Biomarker.Diagnostics (Basel, Switzerland) · 2021Article
- Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia.La Radiologia medica · 2021Article
- CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies.Insights into imaging · 2021Article
- Histogram Analysis of Diffusion-Weighted MR Imaging as a Biomarker to Predict Survival of Surgically Treated Colorectal Cancer Patients.Digestive diseases and sciences · 2021Article
- CT based radiomic approach on first line pembrolizumab in lung cancer.Scientific reports · 2021Article
- Radiomics Analysis of MR Imaging with Gd-EOB-DTPA for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Investigation and Comparison of Different Hepatobiliary Phase Delay Times.BioMed research international · 2021Article
- Longitudinal radiomics algorithm of posttreatment computed tomography images for early detecting recurrence of hepatocellular carcinoma after resection or ablation.Translational oncology · 2021Article
- Tumor radiomic features complement clinico-radiological factors in predicting long-term local control and laryngectomy free survival in locally advanced laryngo-pharyngeal cancers.The British journal of radiology · 2020Article
- CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade.European radiology · 2019Article
- CT-morphologic and CT-textural patterns of response in inoperable soft tissue sarcomas treated with pazopanib-a preliminary retrospective cohort study.The British journal of radiology · 2019Article
- Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI.European radiology · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
objectiveTo evaluate the role of computed tomographic (CT) texture analysis in assessing tumor angiogenesis and survival of soft tissue sarcoma (STS).
methodsIn 20 patients with STSs, tumor texture parameters, which were measured on pretherapeutic CT using CT texture analysis software with the spatial scale filter extracting fine to coarse texture, were compared with microvessel density, plasma vascular endothelial growth factor (VEGF), soluble VEGF receptor-1, and overall survival (OS).
resultsMean of positive pixels (MPP) showed a positive correlation with microvessel density (P = 0.02). Entropy at medium texture scales (spatial scale filter = 3, 4, 5) showed positive correlations with VEGF (P = 0.03, P = 0.009, and P = 0.02, respectively), and entropy without filtration showed a positive correlation with soluble VEGF receptor-1 (P = 0.02). In the univariate analysis, kurtosis at a medium texture scale and MPP showed significant correlations with OS (P = 0.04 and P = 0.007), and multivariate analysis demonstrated that MPP was an independent prognostic factor (P = 0.01).
conclusionTexture parameters are associated with tumor angiogenesis and OS in STS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.