Objectives: The aim of this study was to test the feasibility of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with concurrent perfusion phantom for monitoring therapeutic response in patients with pancreatic ductal adenocarcinoma (PDAC).
Materials And Methods: A prospective pilot study was conducted with 8 patients (7 men and 1 woman) aged 46 to 78 years (mean age, 66 years). Participants had either locally advanced (n = 7) or metastatic (n = 1) PDAC, and had 2 DCE-MRI examinations: one before and one 8 ± 1 weeks after starting first-line chemotherapy. A small triplicate perfusion phantom was imaged with each patient, serving as an internal reference for accurate quantitative image analysis. Tumor perfusion was measured with K using extended Tofts model before and after phantom-based data correction. Results are presented as mean ± SD and 95% confidence intervals (CIs). Statistical difference was evaluated with 1-way analysis of variance.
Results: Tumor-size change of responding group (n = 4) was -12% ± 4% at 8 weeks of therapy, while that of nonresponding group (n = 4) was 18% ± 15% (P = 0.0100). Before phantom-based data correction, the K change of responding tumors was 69% ± 23% (95% CI, 32% to 106%) at 8 weeks, whereas that of nonresponding tumors was -1% ± 41% (95% CI, -65% to 64%) (P = 0.0247). After correction, the data variation in each group was significantly reduced; the K change of responding tumors was 73% ± 6% (95% CI, 64% to 82%) compared with nonresponding tumors of -0% ± 5% (95% CI, -7% to 8%) (P < 0.0001).
Conclusions: Quantitative DCE-MRI measured the significant perfusion increase of PDAC tumors responding favorably to chemotherapy, with decreased variability after correction using a perfusion phantom.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400393 | PMC |
http://dx.doi.org/10.1097/RLI.0000000000000505 | DOI Listing |
Asia Ocean J Nucl Med Biol
January 2025
Department of Radiological Technology, Faculty of Medical Technology, Tokyo, Japan.
Objectives: Brain perfusion single-photon emission computed tomography (SPECT) image quality varies depending on SPECT systems. This study aimed to evaluate the relationship between physical parameters and visual analysis for assessment of the brain SPECT image quality. We conducted our phantom study under various conditions in a multi-center and multi-vendor study.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
November 2024
Department of Nuclear Medicine, University of Bern, Bern, Switzerland.
Purpose: Radiomics has revolutionized clinical research by enabling objective measurements of imaging-derived biomarkers. However, the true potential of radiomics necessitates a comprehensive understanding of the biological basis of extracted features to serve as a clinical decision support. In this work, we propose an end-to-end framework for the in silico simulation of [F]FLT PET imaging process in Pancreatic Ductal Adenocarcinoma, accounting for the biological characterization of tissues (including perfusion and fibrosis) on tracer delivery.
View Article and Find Full Text PDFWorld J Urol
October 2024
Department of Urology, University of Rochester Medical Center, Rochester, NY, USA.
Introduction: With the advancement of surgical technology, the opportunity to integrate novel surgical preparation is imperative to improve patient outcomes and enhance safety.
Methods: Patient specific perfused kidney phantoms including the tumor, parenchyma, artery, vein, and calyx were fabricated using 3D-printing and hydrogel injection molding from scans of 25 patients scheduled for robotic partial-nephrectomy (RAPN). Models are validated for anatomical accuracy, mechanical, functional properties and surrounded by the other models of relevant anatomy in a body cast for a simulated surgical rehearsal.
Nihon Hoshasen Gijutsu Gakkai Zasshi
November 2024
Division of Diagnostic Imaging and Nuclear Medicine, Department of Radiology, Tokyo Women's Medical University.
Purpose: Cerebral CT perfusion (CTP) summary maps classify the ischemic core, penumbra, and normal tissue from traditional parametric maps, which is a criterion for indicating thrombectomy. Since perfusion maps change when the CTP radiation dose is reduced, summary maps also might change. This study aimed to assess the noise characteristics of a summary map in simulation experiments.
View Article and Find Full Text PDFMAGMA
October 2024
Biomedical Engineering, Ohio State University, Columbus, OH, 43210, USA.
Objective: Acquiring fully sampled training data is challenging for many MRI applications. We present a self-supervised image reconstruction method, termed ReSiDe, capable of recovering images solely from undersampled data.
Materials And Methods: ReSiDe is inspired by plug-and-play (PnP) methods, but unlike traditional PnP approaches that utilize pre-trained denoisers, ReSiDe iteratively trains the denoiser on the image or images that are being reconstructed.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!