ArticleChinese medical journal2019
Radiomics approaches in gastric cancer: a frontier in clinical decision making.
Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- 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
- Radiomics analysis of multiphase contrast-enhanced CT imaging for differentiating primary gastric lymphoma and Borrmann type IV gastric cancer.European journal of radiology open · 2026Article
- Current Update on DWI-MRI and Its Radiomics in Liver Fibrosis-A Review of the Literature.Tomography (Ann Arbor, Mich.) · 2025Review
- Artificial intelligence in advanced gastric cancer: a comprehensive review of applications in precision oncology.Frontiers in oncology · 2025Review
- Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.Abdominal radiology (New York) · 2024Article
- A radiomics nomogram based on MSCT and clinical factors can stratify fibrosis in inflammatory bowel disease.Scientific reports · 2024Article
- Radiomic applications in upper gastrointestinal cancer surgery.Langenbeck's archives of surgery · 2023Review
- Radiomics-based T-staging of hollow organ cancers.Frontiers in oncology · 2023Review
- Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review.Diagnostics (Basel, Switzerland) · 2021Review
- Prospective evaluation of metabolic intratumoral heterogeneity in patients with advanced gastric cancer receiving palliative chemotherapy.Scientific reports · 2021Article
- Establishment of the Radiologic Tumor Invasion Index Based on Radiomics Splenic Features and Clinical Factors to Predict Serous Invasion of Gastric Cancer.Frontiers in oncology · 2021Article
- Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis.Chinese medical journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo review the application of radiomics in gastric cancer and its challenges as well as future prospects. DATA SOURCES: A research for relevant studies were performed in PubMed with the terms of "radiomics," "texture analysis," and "gastric cancer." The search was updated until February 28, 2019. STUDY SELECTION: All original articles regarding the investigation of texture analysis or radiomics in gastric cancer were retrieved. Only papers written in English were included.
resultsA total of 17 original articles were selected in final. It is shown that radiomics has yielded moderate to excellent performance in a spectrum of respects including differential diagnosis, assessment of histological differential degree, evaluation of tumor stage, prediction of response to therapy, and prognosis in gastric cancer. Yet, a number of challenges are facing both radiomics itself and its application in gastric cancer.
conclusionsRadiomics holds great potential in facilitating decision-making in gastric cancer. With the standardization of work-flow and advancement of machine learning methods, radiomics is expected to make great breakthroughs in precision medicine of gastric cancer.
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Registered trials
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.