ArticleEuropean radiology2017
Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker.
Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
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72 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.
- Diagnostic Performance of Artificial Intelligence-Centred Systems in the Diagnosis and Postoperative Surveillance of Upper Gastrointestinal Malignancies Using Computed Tomography Imaging: A Systematic Review and Meta-Analysis of Diagnostic Accuracy.Annals of surgical oncology · 2022Pooled it
- Radiomics signature for predicting postoperative disease-free survival of patients with gastric cancer: development and validation of a predictive nomogram.Diagnostic and interventional radiology (Ankara, Turkey) · 2022Trial
- A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020Trial
- Development and validation of a model for predicting central lymph node metastasis in colorectal cancer based on CT textural features and clinical indicators.Translational cancer research · 2026Article
- APT MRI Signature for Risk Stratification of Pediatric Medulloblastoma.Chemical & biomedical imaging · 2026Article
- The role of ultrasound texture analysis in the discrimination of pleomorphic adenoma and Warthin tumor in subjects with well-defined tumor borders.Gland surgery · 2026Article
- CT-derived extracellular volume fraction as a predictive marker for postoperative recurrence in pStage II-III gastric cancer.European radiology · 2026Article
- Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study.World journal of gastrointestinal oncology · 2025Article
- Prediction of solid pseudopapillary tumor invasiveness of the pancreas based on multiphase contrast-enhanced CT radiomics nomogram.Frontiers in oncology · 2025Article
- Diagnostic precision in thyroid-associated ophthalmopathy using multi-center radiomics withScientific reports · 2024Article
- Preoperative prediction of perineural invasion and lymphovascular invasion with CT radiomics in gastric cancer.European journal of radiology open · 2024Article
- Non-contrast-enhanced magnetic resonance urography for measuring split kidney function in pediatric patients with hydronephrosis: comparison with renal scintigraphy.Pediatric nephrology (Berlin, Germany) · 2024Article
- Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: Retrospective study.World journal of gastrointestinal oncology · 2024Article
- Article
- Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics.Frontiers in oncology · 2024Article
- Predictive value ofJournal of cancer research and clinical oncology · 2023Article
- Radiomics in gastrointestinal stromal tumours: an up-to-date review.Japanese journal of radiology · 2023Review
- Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer.La Radiologia medica · 2023Article
- The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review.Health data science · 2023Review
- Radiomic-based machine learning model for predicting the surgical risk in children with abdominal neuroblastoma.World journal of pediatric surgery · 2023Article
12 more citing papers are in PubMed but not listed here.
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13 authors at 2 institutions in 1 country.
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Abstract
objectivesTo investigate the association between preoperative texture analysis from multidetector computed tomography (MDCT) and overall survival in patients with gastric cancer.
methodsInstitutional review board approval and informed consent were obtained. Fifty-six patients with biopsy-proved gastric cancer were examined by MDCT and treated with surgery. Image features from texture analysis were quantified, with and without filters for fine to coarse textures. The association with survival time was assessed using Kaplan-Meier and Cox analysis.
resultsThe following parameters were significantly associated with a negative prognosis, according to different thresholds: energy [no filter] - Logarithm of relative risk (Log RR): 3.25; p = 0.046; entropy [no filter] (Log RR: 5.96; p = 0.002); entropy [filter 1.5] (Log RR: 3.54; p = 0.027); maximum Hounsfield unit value [filter 1.5] (Log RR: 3.44; p = 0.027); skewness [filter 2] (Log RR: 5.83; p = 0.004); root mean square [filter 1] (Log RR: - 2.66; p = 0.024) and mean absolute deviation [filter 2] (Log RR: - 4.22; p = 0.007).
conclusionsTexture analysis could increase the performance of a multivariate prognostic model for risk stratification in gastric cancer. Further evaluations are warranted to clarify the clinical role of texture analysis from MDCT. KEY POINTS: • Textural analysis from computed tomography can be applied in gastric cancer. • Preoperative non-invasive texture features are related to prognosis in gastric cancer. • Texture analysis could help to evaluate the aggressiveness of this tumour.
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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.