ArticleJournal of magnetic resonance imaging : JMRI2009
MRI methods for evaluating the effects of tyrosine kinase inhibitor administration used to enhance chemotherapy efficiency in a breast tumor xenograft model.
Article in Journal of magnetic resonance imaging : JMRI, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Magnetic Resonance Imaging for Translational Research in Oncology.Journal of clinical medicine · 2019Review
- Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer.Neoplasia (New York, N.Y.) · 2019Article
- Evaluating Imaging Biomarkers of Acquired Resistance to Targeted EGFR Therapy in Xenograft Models of Human Head and Neck Squamous Cell Carcinoma.Frontiers in oncology · 2018Article
- Diffusion MRI in early cancer therapeutic response assessment.NMR in biomedicine · 2017Review
- Evaluating treatment response using DW-MRI and DCE-MRI in trastuzumab responsive and resistant HER2-overexpressing human breast cancer xenografts.Translational oncology · 2014Article
- Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer.Magnetic resonance imaging · 2014Article
- Acute tumour response to the MEK1/2 inhibitor selumetinib (AZD6244, ARRY-142886) evaluated by non-invasive diffusion-weighted MRI.British journal of cancer · 2013Article
- A finite difference method with periodic boundary conditions for simulations of diffusion-weighted magnetic resonance experiments in tissue.Physics in medicine and biology · 2012Article
- Assessment of tumor response to tyrosine kinase inhibitors.Frontiers in bioscience (Landmark edition) · 2011Review
- Predicting and monitoring cancer treatment response with diffusion-weighted MRI.Journal of magnetic resonance imaging : JMRI · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
purposeTo evaluate whether quantitative MRI parameters are sensitive to the effects of the tyrosine kinase inhibitor gefitinib and can discriminate between two different treatment protocols. MATERIALS AND
methodsUntreated mice with BT474 breast tumor xenografts were characterized in a preliminary study. Subsequently, tumor volume, apparent diffusion coefficient (ADC), transendothelial permeability (K(ps)), and fractional plasma volume (fPV) were measured in three groups of mice receiving: 1) control vehicle for 10 days, or gefitinib as 2) a single daily dose for 10 days or 3) a 2-day pulsed dose.
resultsGefitinib treatment resulted in significant tumor growth inhibition (pulsed: 439 +/- 93; daily: 404 +/- 53; control: 891 +/- 174 mm(3), P < 0.050) and lower cell density (pulsed: 0.15 +/- 0.01, daily: 0.17 +/- 0.01, control: 0.24 +/- 0.01, P < 0.050) after 9 days. Tumor ADC increased in treated groups but decreased in controls (P > 0.050). Tumor K(ps) decreased with pulsed treatment but rebounded afterwards and increased with daily treatment (P > 0.050). Tumor fPV increased in both treated groups, decreasing afterwards with pulsed treatment (P > 0.050).
conclusionQuantitative MRI can provide a sensitive measure of gefitinib-induced tumor changes, potentially distinguish between treatment regimens, and may be useful for determining optimal treatment scheduling for enhancing chemotherapy delivery.
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Registered trials
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.