ArticleBMC medical imaging2022
Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis.
Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Impact of image reconstruction algorithms on histogram analysis of iodine concentration for assessing chemotherapy response in pancreatic ductal adenocarcinoma.Abdominal radiology (New York) · 2026Article
- Aquaporin-3 and aquaporin-5 impact the development of pancreatic ductal adenocarcinoma spheroids.FEBS open bio · 2026Article
- Mechanisms of angiopoietin-like protein 7 regulation and therapeutic potential in tumors.Molecular biology reports · 2026Review
- End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study.European radiology · 2025Article
- Machine learning-based clinical-radiomics model for predicting recurrence risk after radical surgery in sinonasal squamous cell carcinoma: a preliminary 2-year follow-up study.BMC medical imaging · 2025Article
- Profiling of circulating T-cells with prognostic and predictive value in early and advanced stage PDAC.Cancer immunology, immunotherapy : CII · 2025Article
- Programmable immunoprobiotics orchestrate antitumor immune response with Pin1 inhibition for pancreatic cancer treatment.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mesothelin expression prediction in pancreatic cancer based on multimodal stochastic configuration networks.Medical & biological engineering & computing · 2025Article
- Significantly Elevated CA 19-9 after COVID-19 Vaccination and Literature Review of Non-Cancerous Cases with CA 19-9 > 1000 U/mL.Journal of clinical medicine · 2024Article
- Prediction of overall survival in patients with locally advanced pancreatic cancer using longitudinal diffusion-weighted MRI.Frontiers in oncology · 2024Article
- Pretreatment synthetic magnetic resonance imaging predicts disease progression in nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy.Insights into imaging · 2023Article
- Correlation between ADC Histogram-Derived Metrics and the Time to Metastases in Resectable Pancreatic Adenocarcinoma.Cancers · 2022Article
- Impact of the tumor immune microenvironment on the outcome of pancreatic cancer: a retrospective study based on clinical pathological analysis.Gland surgery · 2022Article
- Theranostic nanoparticles for detection and treatment of pancreatic cancer.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
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11 authors.
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Abstract
backgroundTo evaluate the utility of histogram analysis (HA) of apparent diffusion coefficient (ADC) values to predict the overall survival (OS) in patients with pancreatic ductal adenocarcinoma (PDAC) and to correlate with pathologically evaluated massive intratumoral necrosis (MITN). MATERIALS AND
methodsThirty-nine patients were included in this retrospective study with surgically resected PDAC who underwent preoperative magnetic resonance imaging. Twelve patients received neoadjuvant chemotherapy. HA on the ADC maps were performed to obtain the tumor HA parameters. Using Cox proportional regression analysis adjusted for age, time-dependent receiver-operating-characteristic (ROC) curve analysis, and Kaplan-Meier estimation, we evaluated the association between HA parameters and OS. The association between prognostic factors and pathologically confirmed MITN was assessed by logistic regression analysis.
resultsThe median OS was 19.9 months. The kurtosis (P < 0.001), entropy (P = 0.013), and energy (P = 0.04) were significantly associated with OS. The kurtosis had the highest area under the ROC curve (AUC) for predicting 3-year survival (AUC 0.824) among these three parameters. Between the kurtosis and MITN, the logistic regression model revealed a positive correlation (P = 0.045). Lower survival rates occurred in patients with high kurtosis (cutoff value > 2.45) than those with low kurtosis (≤ 2.45) (P < 0.001: 1-year survival rate, 75.2% versus 100%: 3-year survival rate, 14.7% versus 100%).
conclusionsHA derived kurtosis obtained from tumor ADC maps might be a potential imaging biomarker for predicting the presence of MITN and OS in patients with PDAC.
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