ArticleAnnals of surgical oncology2022
Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?
Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07224802 (An Exosome-based Liquid Biopsy Signature for Preoperative Identification of Occult Liver Metastasis in Patients With Pancreatic Ductal Adenocarcinoma), which is not on this map. Cited by 19 papers.
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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.
An Exosome-based Liquid Biopsy Signature for Preoperative Identification of Occult Liver Metastasis in Patients With Pancreatic Ductal Adenocarcinoma
Who cites it
19 citing papers in PubMed, 30 citations in OpenAlex.
- Detection of Confounders and Potential Confounders in Computed Tomography Lung Datasets.Journal of imaging informatics in medicine · 2026Article
- SLPI/FBW7/c-Myc Axis Reduces Gemcitabine Sensitivity in PDAC by Enhancing Glycolysis and Impairing NK Cell Immunity.Cancer science · 2026Article
- Integrative multimodal transcriptomics identifies a cancer-associated fibroblast membrane signature for predicting prognosis and therapeutic response in pancreatic ductal adenocarcinoma.Journal of molecular medicine (Berlin, Germany) · 2026Article
- Expression of IMPACT Curtails Metabolic Plasticity and Augments NK Cell Killing to Abrogate Metastatic Growth.Cancer discovery · 2025Article
- CT feature of irregular extensive ulceration as a predictor of liver metastasis in gastric gastrointestinal stromal tumours.European radiology · 2025Article
- Radiomics in sporadic microsatellite instable, mismatch repair deficient and Lynch syndrome-associated pancreatic ductal adenocarcinoma: a pilot study.Frontiers in oncology · 2025Article
- Targeting myeloid cells in pancreatic ductal adenocarcinoma: from primary tumors to liver metastasis.Frontiers in immunology · 2025Review
- Multi-parametric atlas of the pre-metastatic liver for prediction of metastatic outcome in early-stage pancreatic cancer.Nature medicine · 2024Article
- Prediction of postoperative liver metastasis in pancreatic ductal adenocarcinoma based on multiparametric magnetic resonance radiomics combined with serological markers: a cohort study of machine learning.Abdominal radiology (New York) · 2024Article
- Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Pancreatic ductal adenocarcinoma with synchronous and metachronous hepatic metastasis predicted by contrast-enhanced ultrasound.Quantitative imaging in medicine and surgery · 2023Article
- Immune determinants of the pre-metastatic niche.Cancer cell · 2023Review
- Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer.Med (New York, N.Y.) · 2023Review
- Fifty years of pancreas cancer care.Journal of surgical oncology · 2022Article
- Article
- The Liver Pre-Metastatic Niche in Pancreatic Cancer: A Potential Opportunity for Intervention.Cancers · 2022Review
- Artificial intelligence in pancreatic cancer.Theranostics · 2022Review
- Decoding the Mechanisms of Hepatocellular Carcinoma Cancer Stem Cells and Identifying Potential Therapeutic Strategies Based on Single-cell Omics.Cancer genomics & proteomicsArticle
- Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data.Technology in cancer research & treatmentArticle
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Authors and funding
17 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundLiver metastasis (LM) after pancreatic ductal adenocarcinoma (PDAC) resection is common but difficult to predict and has grave prognosis. We combined preoperative clinicopathological variables and quantitative analysis of computed tomography (CT) imaging to predict early LM.
methodsWe retrospectively evaluated patients with PDAC submitted to resection between 2005 and 2014 and identified clinicopathological variables associated with early LM. We performed liver radiomic analysis on preoperative contrast-enhanced CT scans and developed a logistic regression classifier to predict early LM (< 6 months).
resultsIn 688 resected PDAC patients, there were 516 recurrences (75%). The cumulative incidence of LM at 5 years was 41%, and patients who developed LM first (n = 194) had the lowest 1-year overall survival (OS) (34%), compared with 322 patients who developed extrahepatic recurrence first (61%). Independent predictors of time to LM included poor tumor differentiation (hazard ratio (HR) = 2.30; P < 0.001), large tumor size (HR = 1.17 per 2-cm increase; P = 0.048), lymphovascular invasion (HR = 1.50; P = 0.015), and liver Fibrosis-4 score (HR = 0.89 per 1-unit increase; P = 0.029) on multivariate analysis. A model using radiomic variables that reflect hepatic parenchymal heterogeneity identified patients at risk for early LM with an area under the receiver operating characteristic curve (AUC) of 0.71; the performance of the model was improved by incorporating preoperative clinicopathological variables (tumor size and differentiation status; AUC = 0.74, negative predictive value (NPV) = 0.86).
conclusionsWe confirm the adverse survival impact of early LM after resection of PDAC. We further show that a model using radiomic data from preoperative imaging combined with tumor-related variables has great potential for identifying patients at high risk for LM and may help guide treatment selection.
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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.