ArticleWorld journal of gastrointestinal oncology2024
Computed tomography-based radiomics diagnostic approach for differential diagnosis between early- and late-stage pancreatic ductal adenocarcinoma.
Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
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Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- The role of novel biomarkers in the early diagnosis of pancreatic cancer: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Clinical and imaging differences between pancreatic carcinoma in situ and T1a/T1b pancreatic ductal adenocarcinoma.Abdominal radiology (New York) · 2026Article
- Integrating CT radiomics and morphologic features for preoperative risk stratification of gastrointestinal stromal tumours.Scientific reports · 2026Article
- Article
- Radiomic features of CECT and SUVmax of dual-tracer PET/CT reveal PD-L1 spatial heterogeneity in PDAC.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Integrating MR dynamic radiomics and clinical parameters for machine learning-based prediction of short-term response to induction chemotherapy in nasopharyngeal carcinoma.Frontiers in oncology · 2026Article
- Efficacy of a large language model in classifying branch-duct intraductal papillary mucinous neoplasms.Abdominal radiology (New York) · 2026Article
- Combined model of radiomics and clinical features for predicting prognosis of term neonatal hypoxic-ischemic encephalopathy after one year: an exploratory study.BMC medical imaging · 2025Article
- Multiparametric dual-energy computed tomography radiomics for predicting microvascular invasion in hepatocellular carcinoma.BMC medical imaging · 2025Article
- Preoperative stratification of Ki-67 proliferation index in intrahepatic mass-forming cholangiocarcinoma via tumor-halo radiomic phenotyping on biparametric MRI: a multicenter diagnostic model.BMC medical imaging · 2025Article
- Pancreatic cancer in China: the analysis of cancer mortality and burden in China, 2008-2021.BMC cancer · 2025Article
- Comparative trends in pancreatic cancer burden and risk factors in the USA and China (1990-2021): insights from GBD analysis.BMC gastroenterology · 2025Article
- Review
- Does adjunctive endoscopic biliary drainage improve outcomes beyond glucocorticoids alone in IgG4-related pancreatobiliary disease?BMC gastroenterology · 2025Article
- Review
- Automated Resectability Classification of Pancreatic Cancer CT Reports with Privacy-Preserving Open-Weight Large Language Models: A Multicenter Study.Journal of medical systems · 2025Article
- Developing and validating a computed tomography radiomics strategy to predict lymph node metastasis in pancreatic cancer.World journal of radiology · 2025Article
- Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study.BMC medical imaging · 2025Article
- The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.BMC gastroenterology · 2025Article
- Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOne of the primary reasons for the dismal survival rates in pancreatic ductal adenocarcinoma (PDAC) is that most patients are usually diagnosed at late stages. There is an urgent unmet clinical need to identify and develop diagnostic methods that could precisely detect PDAC at its earliest stages.
aimTo evaluate the potential value of radiomics analysis in the differentiation of early-stage PDAC from late-stage PDAC.
methodsA total of 71 patients with pathologically proved PDAC based on surgical resection who underwent contrast-enhanced computed tomography (CT) within 30 d prior to surgery were included in the study. Tumor staging was performed in accordance with the 8
resultsA total of 792 radiomics features (396 from late arterial phase and 396 from portal venous phase) were extracted from the ROI for each patient using Analysis Kit software. Nine most important and predictive features were selected using Mann-Whitney
conclusionThe radiomics model based on CT could serve as a promising non-invasive method in differential diagnosis between early and late stage PDAC.
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