Background: Pelvic magnetic resonance imaging (MRI) and whole-body positron emission tomography-computed tomography (PET-CT) play an important role at primary diagnostic work-up and in detecting recurrent disease in endometrial cancer (EC) patients, however the preclinical use of these imaging methods is currently limited. We demonstrate the feasibility and utility of MRI and dynamic F-fluorodeoxyglucose (FDG)-PET imaging for monitoring tumor progression and assessing chemotherapy response in an orthotopic organoid-based patient-derived xenograft (O-PDX) mouse model of EC.
Methods: 18 O-PDX mice (grade 3 endometrioid EC, stage IIIC1), selectively underwent weekly T2-weighted MRI (total scans = 32), diffusion-weighted MRI (DWI) (total scans = 9) and dynamic F-FDG-PET (total scans = 26) during tumor progression. MRI tumor volumes (vMRI), tumor apparent diffusion coefficient values (ADC) and metabolic tumor parameters from F-FDG-PET including maximum and mean standard uptake values (SUV/SUV), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and metabolic rate of F-FDG (MR) were calculated. Further, nine mice were included in a chemotherapy treatment study (treatment; n = 5, controls; n = 4) and tumor ADC-values were compared to changes in vMRI and cellular density from histology at endpoint. A Mann-Whitney test was used to evaluate differences between groups.
Results: Tumors with large tumor volumes (vMRI) had higher metabolic activity (MTV and TLG) in a clear linear relationship (r = 0.92 and 0.89, respectively). Non-invasive calculation of MR from dynamic F-FDG-PET (mean MR = 0.39 μmol/min) was feasible using an image-derived input function. Treated mice had higher tumor ADC (p = 0.03), lower vMRI (p = 0.03) and tumor cellular density (p = 0.02) than non-treated mice, all indicating treatment response.
Conclusion: Preclinical imaging mirroring clinical imaging methods in EC is highly feasible for monitoring tumor progression and treatment response in the present orthotopic organoid mouse model.
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http://dx.doi.org/10.1186/s12967-021-03086-9 | DOI Listing |
Neurol Sci
December 2024
Neuroimmunology Unit, La Fe University and Polytechnic Hospital, Avda. Fernando Abril Martorell, 106, 46026, Valencia, Spain.
World J Surg Oncol
December 2024
Department of Urology, Başaksehir Çam and Sakura City Hospital, Istanbul, Turkey.
Purpose: Although 18 F-FDG-PET/CT is helpful in defining many types of cancer, localized prostate cancer should not be treated with this technique. This study describes the use of multi-parametric MRI (mpMRI) to characterize incidental 18 F-FDG uptake in the prostate.
Methods And Materials: While 18 F-FDG-PET/CT is useful for characterizing a variety of cancers, it is not advised for prostate cancer that is localized.
BMC Med Imaging
December 2024
Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam.
Objective: Identifying prognostic markers for clinical outcomes is crucial in selecting appropriate treatment options for patients with radioiodine-refractory (RAI-R) differentiated thyroid carcinoma (DTC). The aim of this study was to investigate the prognostic value of clinico-pathological features and semiquantitative [F]FDG PET/CT metabolic parameters in predicting progression-free survival (PFS) in DTC patients with RAI-R.
Patients And Methods: This prospective cohort study included 110 consecutive RAI-R DTC patients who were referred for [F]FDG PET/CT imaging.
Neurol Sci
December 2024
Neuroimmunology Unit, La Fe University and Polytechnic Hospital, Avda. Fernando Abril Martorell, 106, Valencia, 46026, Spain.
Background: Patients with multiple sclerosis (MS) may remain in a relapsing-remitting (RRMS) course despite long-standing disease, while others will develop secondary progression (SPMS). Chronic inflammation and changes in the blood-brain barrier resulting in perturbed glucose metabolism may account for these differences. PET-MRI with kinetic analysis of 2-deoxy-2(18 F)fluoro-d-glucose (18 F-FDG) provides insight into glucose metabolism and has proven useful in several chronic inflammatory diseases.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
December 2024
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Purpose: Prolonged scanning durations are one of the primary barriers to the widespread clinical adoption of dynamic Positron Emission Tomography (PET). In this paper, we developed a deep learning algorithm that capable of predicting dynamic images from dual-time-window protocols, thereby shortening the scanning time.
Methods: This study includes 70 patients (mean age ± standard deviation, 53.
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