ArticleFrontiers in oncology2021
The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Exploring the origins of esophagogastric junction cancer through omics: A focus on the Siewert II subclassification.Surgery today · 2026Review
- Radiomics-based assessment of HER2 status and prognosis in gastric cancer: a retrospective dual-center CT study.Abdominal radiology (New York) · 2025Article
- Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients.BJS open · 2024Article
- Predicting human epidermal growth factor receptor 2 status of patients with gastric cancer by computed tomography and clinical features.Gastroenterology report · 2024Article
- Prediction of HER2 status via random forest in 3257 Chinese patients with gastric cancer.Clinical and experimental medicine · 2023Article
- Association of the collagen signature with pathological complete response in rectal cancer patients.Cancer science · 2022Article
- Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022)Frontiers in oncology · 2022Article
- Preoperative prediction of lymphovascular invasion in patients with T1 breast invasive ductal carcinoma based on radiomics nomogram using grayscale ultrasound.Frontiers in oncology · 2022Article
- A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe developed and validated a CT-based radiomics nomogram to predict
methodA total of 101 patients with
resultIn the training (P<0.001) and verification groups (P<0.001), the radiomics signature combined with seven radiomics features was significantly correlated with
conclusionThe nomogram CT-based radiomics signature combined with CT-reported T stage can better predict the
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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.