Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a non-invasive technique which could monitor tumor morphology, blood vessel dynamics, and micro-environmental changes.
Purpose: To evaluate the value of DCE-MRI semi-quantitative parameters in monitoring the neoadjuvant chemotherapy (NAC) response of osteosarcoma.
Material And Methods: Twenty-five patients pathologically confirmed as osteosarcoma received four cycles of NAC followed by surgery. All patients underwent conventional and dynamic MRI twice, before starting chemotherapy and before surgical treatment. With a reference standard of histological response (tumor necrosis rate), semi-quantitative parameters were compared between good response group (TNR ≥ 90%) and non-response group (TNR < 90%). The differences between intra- and inter-group parameters before and after NAC were analyzed by Mann-Whitney U test. Receiver operating characteristic (ROC) analysis was generated to assess the parameters' efficacy in predicting the outcome of NAC.
Results: The changes were statistically significant on slope, maximum signal intensity (SI), time to peak (TTP), signal enhanced extent (SEE), peak percent enhancement (PPE), washout rate (WOR), and enhancement rate (ER) in the good response group ( < 0.05), while only SI and SEE were different in the non-response group after NAC. The changes in Slope, SI, TTP, SEE, WOR, and ER were markedly different ( < 0.05) between the two groups after NAC. Also, at the threshold values of 3.2%/s, 175 s, and 5.4% (slope, TTP, and ER), the sensitivity and specificity for predicting good response to chemotherapy were 83.3% and 92.3%, 91.7% and 69.2%, 84.6% and 75.0%, respectively.
Conclusion: Slope, TTP, and ER values could be used to evaluate and predict the response to NAC in osteosarcoma.
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http://dx.doi.org/10.1177/02841851211030768 | DOI Listing |
Ann Nucl Med
December 2024
Department of Endocrinology and Metabolism, Rare Bone Disease Center, Amsterdam University Medical Centers (UMC), Vrije Universiteit, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
Purpose: [F]NaF PET has become an increasingly important tool in clinical practice toward understanding and evaluating diseases and conditions in which bone metabolism is disrupted. Full kinetic analysis using nonlinear regression (NLR) with a two-tissue compartment model to determine the net rate of influx (K) of [F]NaF is considered the gold standard for quantification of [F]NaF uptake. However, dynamic scanning often is impractical in a clinical setting, leading to the development of simplified semi-quantitative parameters.
View Article and Find Full Text PDFPLoS One
December 2024
Faculty of Engineering, Department of Chemical Engineering and Biotechnological Engineering, 3D Dynamic Cell Culture Systems Laboratory, Université de Sherbrooke, Sherbrooke, QC, Canada.
Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival time of 14 to 20 months. Its capacity to invade brain parenchyma leads to the failure of conventional treatments and subsequent tumor recurrence. Recent studies have explored new therapeutic strategies using a chemoattracting gradient to attract GBM cells into a soft hydrogel trap where they can be exposed to higher doses of radiation or chemotherapy.
View Article and Find Full Text PDFJ Nutr Sci
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Kidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Renal sinus fat (RSF) crucially influences metabolic regulation, inflammation, and vascular function. We investigated the association between RSF accumulation, metabolic disorders, and nutritional status in obese individuals with hypertension. A cross-sectional study involved 51 obese hypertensive patients from Salamat Specialized Community Clinic (February-September 2022).
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View Article and Find Full Text PDFFront Oncol
November 2024
Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States.
Quantitative dynamic contrast-enhanced (DCE) MRI as a promising method for the prediction of breast cancer response to neoadjuvant chemotherapy (NAC) has been demonstrated mostly in single-center and single-vendor platform studies. This preliminary study reports the initial experience in implementing quantitative breast DCE-MRI in multi-center (MC) and multi-vendor platform (MP) settings to predict NAC response. MRI data, including B mapping, variable flip angle (VFA) measurements of native tissue R (R), and DCE-MRI, were acquired during NAC at three sites using 3T systems with Siemens, Philips, and GE platforms, respectively.
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