Search

Background: Brain metastases (BMs) are common complications in patients with non-small cell lung cancer (NSCLC). The purpose of this study was to investigate whether the metabolic parameters derived from preoperative 18 F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET/CT) can predict BM development in patients with surgically resected NSCLC., Methods: We retrospectively reviewed 128 consecutive patients with stage I-IIIA NSCLC who underwent 18 F-FDG PET/CT before curative surgery at The First Affiliated Hospital of Jinan University between November 2012 and October 2021. By drawing a volume of interest (VOI), the maximum standardized uptake values (SUV max ), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary tumor as well as the mean SUV (SUV mean ) of the liver and arterial blood were measured. The tumor-to-liver SUV ratio (TLR) and tumor-to-blood SUV ratio (TBR) were also calculated. Receiver operating characteristic curve analysis was used to determine the best cut-off values for positron emission tomography (PET) parameters to predict BM-free survival, and Cox proportional hazards regression analysis was used to assess the predictive value of clinical variables and PET parameters., Results: The median follow-up duration for survival patients was 23.4 months, and 15 patients (11.7%) experienced BM as the initial relapse site. The cumulative rates of BM over the course of 1, 2, and 5 years were 4.5%, 10.5%, and 17.5%, respectively. The optimal cut-off values for the prediction of BM-free survival were 7.7, 4.9, and 4.5 for SUV max , TLR, and TBR, and 5.5 mL and 16.1 for MTV and TLG, respectively. In the Cox proportional hazards model, the risk of BM was significantly associated with TLR [hazard ratio (HR) =10.712; 95% confidence interval (CI): 2.958-38.801; P<0.001] and MTV (HR =3.150; 95% CI: 0.964-10.293; P=0.020) after adjusting for tumor stage, clinicopathological factors, and other PET parameters., Conclusions: Preoperative TLR and MTV of the primary tumor may be helpful in predicting BM development in patients with surgically resected NSCLC. Tumor metabolic parameters may potentially be used to stratify the risk of BM and determine individualized surveillance strategies., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-385/coif). The authors have no conflicts of interest to declare., (2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Background: The precision reflecting repeated measurement error of quantitative parameters of flourine-18 fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET/CT) for evaluating the therapeutic effect of solid tumor can help observe whether a real biologic change in glucose metabolism occurred, or if the change was caused by errors before and after the treatment., Methods: A total of 18 VX2 tumor-bearing male New Zealand rabbits confirmed by pathology were used, three of which were used for determining the best scanning time point after injection and 15 for a precision experiment by repeating PET/CT scans for three consecutive days. The PET volume computer-assisted reading (PET VCAR) software (GE Healthcare) was used to analyze the standardized uptake value (SUV) and total lesion glycolysis (TLG) parameters. The lean body mass (LBM) to calculate the SUV corrected for lean body mass (SUL) parameters was measured using dual energy X-ray absorptiometry (DXA). The precision was represented as the coefficient of variation of root mean square (RMS-CV) and standard deviation of root mean square (RMS-SD). The least significant change (LSC) was also calculated when considering precision., Results: The precision of SUV parameters, including SUV max , SUV mean and SUV peak ranged from 18.3% to 18.8%, which was similar to that of the SUL parameters (18.0-18.4%). Using 80% confidence interval (CI), the LSC of SUV max and SUL peak were 33.1% and 33.3%, respectively; using 95% CI, the LSC of SUV max and SUL peak were 50.1% and 51.0%, respectively., Conclusions: This research established the method of precision in a rabbit VX2 tumor model, which can be used for monitoring changes to assess the effects of drug treatment on solid tumors in experimental studies with 18 F-FDG PET/CT imaging., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-1079/coif). All authors report that this work was supported by the National Natural Science Foundation of China (No. 81871383), Medical Scientific Research Foundation of Guangdong Province (No. A2018135), Fundamental Research Funds for the Central Universities (No. 21617311) and Science and Technology Program of Guangzhou (No. 201804010440). The authors have no other conflicts of interest to declare., (2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Background: Osteoporosis in pre-dialysis chronic kidney disease (CKD) patients has been overlooked, and the risk factors of osteoporosis in these patients have not been adequately studied., Objective: To identify risk factors for osteoporosis in pre-dialysis CKD patients and develop predictive models to estimate the likelihood of osteoporosis., Methods: Dual-energy X-ray absorptiometry was used to measure bone mineral density, and clinical examination results were collected from 326 pre-dialysis CKD patients. Binary logistic regression was employed to explore the risk factors associated with osteoporosis and develop predictive models., Results: In this cohort, 53.4% ( n  = 174) were male, 46.6% ( n  = 152) were female, and 21.8% ( n  = 71) were diagnosed with osteoporosis. Among those diagnosed with osteoporosis, 67.6% ( n  = 48) were female and 32.4% ( n  = 23) were male. Older age and low 25-(OH)-Vitamin D levels were identified as risk factors for osteoporosis in males. For females, older age, being underweight, higher bone alkaline phosphatase (NBAP), and advanced CKD (G5) were significant risk factors, while higher iPTH was protective. Older age, being underweight, and higher NBAP were risk factors for osteoporosis in the G1-4 subgroup. In the G5 subgroup, older age and higher NBAP increased the risk, while high 25-(OH)-Vitamin D or iPTH had protective effects. Nomogram models were developed to assess osteoporosis risk in pre-dialysis patients based on gender and renal function stage., Conclusion: Risk factors for osteoporosis vary by gender and renal function stages. The nomogram clinical prediction models we constructed may aid in the rapid screening of patients at high risk of osteoporosis.

Objectives: Brain metastases (BMs) are a major cause leading to the failure of treatment management for non-small-cell lung cancer (NSCLC) patients. The purpose of this study was to evaluate the predictive value of baseline metabolic tumor burden on 18 F-FDG PET/CT measured with metabolic tumor volume (MTV) and total lesion glycolysis (TLG) for brain metastases (BMs) development in patients with locally advanced non-small-cell lung cancer (NSCLC) after treatment., Methods: Forty-seven patients with stage IIB-IIIC NSCLC who underwent baseline 18 F-FDG PET/CT examinations were retrospectively reviewed. The maximum standardized uptake value (SUV max ), MTV, and TLG of the primary tumor (SUV maxT , MTV T , and TLG T ), metastatic lymph nodes (SUV maxN , MTV N , and TLG N ), and whole-body tumors (SUV maxWB , MTV WB , and TLG WB ) were measured. The optimal cut-off values of PET parameters to predict brain metastasis-free survival were obtained using Receiver operating characteristic (ROC) analysis, and the predictive value of clinical variables and PET parameters were evaluated using Cox proportional hazards regression analysis., Results: The median follow-up duration was 25.0 months for surviving patients, and 13 patients (27.7%) developed BM. The optimal cut-off values were 21.1 mL and 150.0 g for MTV T and TLG T , 20.0, 10.9 mL and 55.6 g for SUV maxN , MTV N and TLG N , and 27.9, 27.4 mL and 161.0 g for SUV maxWB , MTV WB and TLG WB , respectively. In the Cox proportional hazards models, the risk of BM was significantly associated with MTV N and MTV WB or TLG N and TLG WB after adjusting for histological cell type, N stage, SUV maxN , and SUV maxWB ., Conclusions: Baseline metabolic tumor burden (MTV and TLG) evaluated from the level of metastatic lymph nodes and whole-body tumors are significant predictive factors for BM development in patients with locally advanced NSCLC., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Shang, You, Dong, Li, Cheng, Tang, Guo, Gong, Ling and Xu.)

Vascular endothelial growth factor receptors (VEGFRs) are well recognized as significant biomarkers of tumor angiogenesis. Herein, we have developed a first-of-its-kind peptide-based VEGFR positron emission tomography (PET) tracer. The novel [ 64 Cu]VEGF 125-136 peptide possessed satisfactory radio-characteristics and showed good specificity for the visualization of VEGFR in various mouse models, in which the tumor-specific radioactivity uptake was highly correlated to the VEGFR expression level. Moreover, the tracer showed high tumor uptake (ca. 5.89 %ID/g at 20 min postinjection in B16F10 mice) and excellent pharmacokinetics, achieving the maximum imaging quality within 1 h after injection. These features convey [ 64 Cu]VEGF 125-136 as a promising, clinically translatable PET tracer for the imaging of tumor angiogenesis., Competing Interests: The authors declare no competing financial interest., (Copyright © 2020 American Chemical Society.)