ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021
Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- Super-resolution ultrasound microscopy profiles microvasculomics of pancreatic ductal adenocarcinoma with pathological association and facilitates differential diagnosis.La Radiologia medica · 2026Article
- Neural networks improve repeatability of intravoxel incoherent motion (IVIM) parameter estimation in pancreatic diffusion-weighted MRI.Medical & biological engineering & computing · 2026Article
- T2* mapping in magnetic resonance imaging for stratifying the hypoxic microenvironment in pancreatic ductal adenocarcinoma: a preliminary study.Quantitative imaging in medicine and surgery · 2026Article
- Model based noise correction enhances the accuracy of pancreatic CT perfusion blood flow measurements.Scientific reports · 2025Article
- A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival and recurrence risk of pancreatic ductal adenocarcinoma.Insights into imaging · 2025Article
- The radiomorphological appearance of the invasive margin in pancreatic cancer is associated with tumor budding.Langenbeck's archives of surgery · 2024Article
- Pancreatic CT perfusion: quantitative meta-analysis of disease discrimination, protocol development, and effect of CT parameters.Insights into imaging · 2023Article
- Evaluation and timing optimization of CT perfusion first pass analysis in comparison to maximum slope model in pancreatic adenocarcinoma.Scientific reports · 2023Article
- Pancreatic Mass Characterization Using IVIM-DKI MRI and Machine Learning-Based Multi-Parametric Texture Analysis.Bioengineering (Basel, Switzerland) · 2023Article
- Development and validation of a contrast-enhanced CT-based radiomics nomogram for preoperative diagnosis in neuroendocrine carcinoma of digestive system.Frontiers in endocrinology · 2023Article
- Comment on "Prognostic value of preoperative enhanced computed tomography as a quantitative imaging biomarker in pancreatic cancer".World journal of gastroenterology · 2022Article
- Article
- Investigation of breast cancer microstructure and microvasculature from time-dependent DWI and CEST in correlation with histological biomarkers.Scientific reports · 2022Article
- [The microarchitecture of pancreatic cancer from the point of view of the pathologist and the radiologist].Der Pathologe · 2021Review
- Article
- Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging.Quantitative imaging in medicine and surgery · 2021Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
BACKGROUND/
objectivesThe aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC).
methodsIn this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVD
resultsf
conclusionsThe study shows that IVIM derived f
trial registrationDRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial . HTML&TRIAL_ID=DRKS00022227.
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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.