ArticleTheranostics2018
Radiomic signature of
Abstract read
In one paragraph
Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
85 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Predicting efficacy and guiding procedure choice in non-vascularized bone grafting: a CT Radiomics and clinical predictor approach.BMC musculoskeletal disorders · 2023Trial
- 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
- Radiomic analysis for predicting prognosis of colorectal cancer from preoperativeJournal of translational medicine · 2022Trial
- Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer.NPJ precision oncology · 2026Article
- Predictive significance ofFrontiers in oncology · 2025Article
- Construction and evaluation of a polygenic hazard score for prognostic assessment in localized gastric cancer.Fundamental research · 2024Article
- Construction of a predictive model for gastric cancer neuroaggression and clinical validation analysis: A single-center retrospective study.World journal of gastrointestinal surgery · 2024Article
- Computed tomography-based radiomics nomogram for predicting therapeutic response to neoadjuvant chemotherapy in locally advanced gastric cancer : A scale for treatment predicting.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Development and validation of a machine learning-basedCancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- MRI- and DWI-Based Radiomics Features for Preoperatively Predicting Meningioma Sinus Invasion.Journal of imaging informatics in medicine · 2024Article
- Multisequence MRI-Based Radiomic Features Combined with Inflammatory Indices for Predicting the Overall Survival of HCC Patients After TACE.Journal of hepatocellular carcinoma · 2024Article
- Nuclear medicine radiomics in digestive system tumors: Concept, applications, challenges, and future perspectives.View (Beijing, China) · 2023Article
- PrognosticDiagnostics (Basel, Switzerland) · 2023Article
- Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics.Cell reports. Medicine · 2023Article
- Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map.Insights into imaging · 2023Article
- Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics.Yonsei medical journal · 2023Article
- Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer.Journal of cancer research and clinical oncology · 2023Article
- Radiomics Analysis ofCancers · 2023Article
- Application of radiomics in precision prediction of diagnosis and treatment of gastric cancer.Japanese journal of radiology · 2023Review
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Yuming JiangDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Qingyu YuanNanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Wenbing LvSchool of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Sujuan XiGuangdong Key Laboratory of Liver Disease Research, the 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Weicai HuangDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Zepang SunDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Hao ChenDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Liying ZhaoDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Wei LiuGuangdong Key Laboratory of Liver Disease Research, the 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Yanfeng HuDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Lijun LuSchool of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Jianhua MaSchool of Biomedical Engineering and Guangdong Provincal Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Tuanjie LiDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Jiang YuDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Quanshi WangNanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Guoxin LiDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to evaluate whether radiomic feature-based fluorine 18 (
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AdultAgedAged, 80 and overAntineoplastic AgentsDrug MonitoringFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron Emission Tomography Computed TomographyPrognosisStomach NeoplasmsSurvival AnalysisYoung AdultAntineoplastic AgentsFluorodeoxyglucose F18chemotherapygastric cancerPET/CTpredictive signatureprognosis
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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.