Chemically modified field effect transistors: the effect of ion-pair association on the membrane potentials

A theoretical model has been developed which relates physically accessible parameters to the formation of a membrane potential. The description is an extension of a theoretical description presented previously by our group, now including divalent cations and ion-pair association. Simulations of the overall membrane potential reveal several factors that may lead to non-Nernstian response curves. For monovalent and divalent cations a reduction in the slope of the response curve (sub-Nernstian response) should virtually always be expected when ion-pair association takes place in the membrane. Ion-pair association of divalent cations and sample anions can lead to a super-Nernstian response. A diffusion potential generally reduces the Nernstian slope of the response curve. In addition, several experimental results are described which illustrate and confirm our theoretical model

Selectivity of F-18-FLT and F-18-FDG for differentiating tumor from inflammation in a rodent model

Increased glucose metabolism of inflammatory tissues is the main source of false-positive F-18-FDG PET findings in oncology. It has been suggested that radiolabeled nucleosides might be more tumor specific. Methods: To test this hypothesis, we compared the biodistribution of 3'-deoxy-3'-F-18-fluorothymidine (FLT) and F-18-FDG in Wistar rats that bore tumors (C6 rat glioma in the right shoulder) and also had sterile inflammation in the left calf muscle (induced by injection of 0.1 mL of turpentine). Twenty-four hours after turpentine injection, the rats received an intravenous bolus (30 MBq) of either F-18-FLT (n = 5) or F-18-FDG (n = 5). Pretreatment of the animals with thymidine phosphorylase (>1,000 U/kg, intravenously) before injection of F-18-FLT proved to be necessary to reduce the serum levels of endogenous thymidine and achieve satisfactory tumor uptake of radioactivity. Results: Tumor-to-muscle ratios of F-18-FDG at 2 h after injection (13.2 +/- 3.0) were higher than those of F-18-FLT (3.8 +/- 1.3). F-18-FDG showed high physiologic uptake in brain and heart, whereas F-18-FLT was avidly taken up by bone marrow. F-18-FDG accumulated in the inflamed muscle, with 4.8 +/- 1.2 times higher uptake in the affected thigh than in the contralateral healthy thigh, in contrast to F-18-FLT, for which this ratio was not significantly different from unity (1.3 +/- 0.4). Conclusion; In F-18-FDG PET images, both tumor and inflammation were visible, but F-18-FLT PET showed only the tumor. Thus, the hypothesis that F-18-FLT has a higher tumor specificity was confirmed in our animal model

Selectivity of F-18-FLT and F-18-FDG for differentiating tumor from inflammation in a rodent model

Increased glucose metabolism of inflammatory tissues is the main source of false-positive F-18-FDG PET findings in oncology. It has been suggested that radiolabeled nucleosides might be more tumor specific. Methods: To test this hypothesis, we compared the biodistribution of 3'-deoxy-3'-F-18-fluorothymidine (FLT) and F-18-FDG in Wistar rats that bore tumors (C6 rat glioma in the right shoulder) and also had sterile inflammation in the left calf muscle (induced by injection of 0.1 mL of turpentine). Twenty-four hours after turpentine injection, the rats received an intravenous bolus (30 MBq) of either F-18-FLT (n = 5) or F-18-FDG (n = 5). Pretreatment of the animals with thymidine phosphorylase (>1,000 U/kg, intravenously) before injection of F-18-FLT proved to be necessary to reduce the serum levels of endogenous thymidine and achieve satisfactory tumor uptake of radioactivity. Results: Tumor-to-muscle ratios of F-18-FDG at 2 h after injection (13.2 +/- 3.0) were higher than those of F-18-FLT (3.8 +/- 1.3). F-18-FDG showed high physiologic uptake in brain and heart, whereas F-18-FLT was avidly taken up by bone marrow. F-18-FDG accumulated in the inflamed muscle, with 4.8 +/- 1.2 times higher uptake in the affected thigh than in the contralateral healthy thigh, in contrast to F-18-FLT, for which this ratio was not significantly different from unity (1.3 +/- 0.4). Conclusion; In F-18-FDG PET images, both tumor and inflammation were visible, but F-18-FLT PET showed only the tumor. Thus, the hypothesis that F-18-FLT has a higher tumor specificity was confirmed in our animal model

Early prediction of tumour-response to radiotherapy in NSCLC patients

From IOP Publishing via Jisc Publications RouterHistory: received 2021-03-19, oa-requested 2021-08-13, rev-recd 2021-09-23, accepted 2021-10-13, epub 2021-11-05, open-access 2021-11-05, ppub 2021-11-21Publication status: PublishedAbstract: Objective. In this study we developed an automatic method to predict tumour volume and shape in weeks 3 and 4 of radiotherapy (RT), using cone-beam computed tomography (CBCT) scans acquired up to week 2, allowing identification of large tumour changes. Approach. 240 non-small cell lung cancer (NSCLC) patients, treated with 55 Gy in 20 fractions, were collected. CBCTs were rigidly registered to the planning CT. Intensity values were extracted in each voxel of the planning target volume across all CBCT images from days 1, 2, 3, 7 and 14. For each patient and in each voxel, four regression models were fitted to voxel intensity; applying linear, Gaussian, quadratic and cubic methods. These models predicted the intensity value for each voxel in weeks 3 and 4, and the tumour volume found by thresholding. Each model was evaluated by computing the root mean square error in pixel value and structural similarity index metric (SSIM) for all patients. Finally, the sensitivity and specificity to predict a 30% change in volume were calculated for each model. Main results. The linear, Gaussian, quadratic and cubic models achieved a comparable similarity score, the average SSIM for all patients was 0.94, 0.94, 0.90, 0.83 in week 3, respectively. At week 3, a sensitivity of 84%, 53%, 90% and 88%, and specificity of 99%, 100%, 91% and 42% were observed for the linear, Gaussian, quadratic and cubic models respectively. Overall, the linear model performed best at predicting those patients that will benefit from RT adaptation. The linear model identified 21% and 23% of patients in our cohort with more than 30% tumour volume reduction to benefit from treatment adaptation in weeks 3 and 4 respectively. Significance. We have shown that it is feasible to predict the shape and volume of NSCLC tumours from routine CBCTs and effectively identify patients who will respond to treatment early