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Personal power using metal-supported solid oxide fuel cells operated in a camping stove flame
A complete stand-alone product prototype providing combined cooking and power is fabricated by retrofitting a commercial camping stove with a stack of metal-supported solid oxide fuel cells (MS-SOFCs) delivering power to microelectronic LED driver and voltage boost circuits. The 5-cell stack produces 2.7 W (156 mW cm -2 ) while cooking on the stove, and is demonstrated to produce LED lighting and mobile phone charging while operating outdoors. Cooking efficiency is minimally impacted by the presence of the MS-SOFCs. As a result, it is found that vertical orientation of the cells is critical to maintain separation of fuel and air when a pot is placed on the stove.
Pretreatment [{sup 18}F]-fluoro-2-deoxy-glucose Positron Emission Tomography Maximum Standardized Uptake Value as Predictor of Distant Metastasis in Early-Stage Non-Small Cell Lung Cancer Treated With Definitive Radiation Therapy: Rethinking the Role of Positron Emission Tomography in Personalizing Treatment Based on Risk Status
Purpose: The aim of this study was to determine whether the preradiation maximum standardized uptake value (SUV{sub max}) of the primary tumor for [{sup 18}F]-fluoro-2-deoxy-glucose positron emission tomography (FDG-PET) has a prognostic significance in patients with Stage T1 or T2N0 non-small cell lung cancer (NSCLC) treated with curative radiation therapy, whether conventional or stereotactic body radiation therapy (SBRT). Methods and Materials: Between January 2007 and December 2011, a total of 163 patients (180 tumors) with medically inoperable histologically proven Stage T1 or T2N0 NSCLC and treated with radiation therapy (both conventional and SBRT) were entered in a research ethics board approved database. All patients received pretreatment FDG-PET / computed tomography (CT) at 1 institution with consistent acquisition technique. The medical records and radiologic images of these patients were analyzed. Results: The overall survival at 2 years and 3 years for the whole group was 76% and 67%, respectively. The mean and median SUV{sub max} were 8.1 and 7, respectively. Progression-free survival at 2 years with SUV{sub max} <7 was better than that of the patients with tumor SUV{sub max} ≥7 (67% vs 51%; P=.0096). Tumors with SUV{sub max} ≥7 were associated with a worse regional recurrence-free survival and distant metastasis-free survival. In the multivariate analysis, SUV{sub max} ≥7 was an independent prognostic factor for distant metastasis-free survival. Conclusion: In early-stage NSCLC managed with radiation alone, patients with SUV{sub max} ≥7 on FDG-PET / CT scan have poorer outcomes and high risk of progression, possibly because of aggressive biology. There is a potential role for adjuvant therapies for these high-risk patients with intent to improve outcomes.
Is It the Time for Personalized Imaging Protocols in Cancer Radiation Therapy?
No abstract prepared.
Sparing Healthy Tissue and Increasing Tumor Dose Using Bayesian Modeling of Geometric Uncertainties for Planning Target Volume Personalization
Objective: To develop a mathematical tool that can update a patient's planning target volume (PTV) partway through a course of radiation therapy to more precisely target the tumor for the remainder of treatment and reduce dose to surrounding healthy tissue. Methods and Materials: Daily on-board imaging was used to collect large datasets of displacements for patients undergoing external beam radiation therapy for solid tumors. Bayesian statistical modeling of these geometric uncertainties was used to optimally trade off between displacement data collected from previously treated patients and the progressively accumulating data from a patient currently partway through treatment, to optimally predict future displacements for that patient. These predictions were used to update the PTV position and margin width for the remainder of treatment, such that the clinical target volume (CTV) was more precisely targeted. Results: Software simulation of dose to CTV and normal tissue for 2 real prostate displacement datasets consisting of 146 and 290 patients treated with a minimum of 30 fractions each showed that re-evaluating the PTV position and margin width after 8 treatment fractions reduced healthy tissue dose by 19% and 17%, respectively, while maintaining CTV dose. Conclusion: Incorporating patient-specific displacement patterns from early in a course of treatment allows PTV adaptation for the remainder of treatment. This substantially reduces the dose to healthy tissues and thus can reduce radiation therapy–induced toxicities, improving patient outcomes.
Now Is the Time to Consider Personalized Effective Dose
No abstract prepared.
Treatment Course Interruption/Delay Due to Weekend Breaks: Acknowledging and Confronting Personal and Professional Biases
No abstract prepared.
The Evolving Personalized Landscape of Colorectal Cancer Therapies
No abstract prepared.
Personalized Ultrafractionated Stereotactic Adaptive Radiotherapy (PULSAR) in Preclinical Models Enhances Single-Agent Immune Checkpoint Blockade
Harnessing the immune-stimulatory effects of radiation by combining it with immunotherapy is a promising new treatment strategy. However, more studies characterizing immunotherapy and radiation dose scheduling for the optimal therapeutic effect is essential for designing clinical trials.
Erratum to: DR, Owen; PS, Boonstra; BL, Viglianti; J, Balter; MJ, Schipper; W, Jackson; I El, Naqa; S, Jolly; R Ten, Haken; FM, Kong; MM, Matuszak. Modeling Patient-Specific Dose-Function Response Using Perfusion SPECT/CT for Enhanced Characterization of Personalized Functional Changes. Int J Radiat Oncol Biol Phys 2018;102(4):1265–1275
No abstract prepared.
Is Remote Learning as Effective as In-Person Learning for Contouring Education? A Prospective Comparison of Face-to-Face versus Online Delivery of the Anatomy and Radiology Contouring Bootcamp
The Anatomy and Radiology Contouring (ARC) Bootcamp was a face-to-face (F2F) intervention providing integrated education for radiation oncology (RO) residents and medical physicists. To increase access, we launched an online offering in 2019. We evaluated the effect of the online course on participants' knowledge acquisition, contouring skills, and self-confidence by comparing it with the F2F course.
CFTR functional measurements in human models for diagnosis, prognosis and personalized therapy
Not Available
An IoT-based mobile gateway for intelligent personal assistants on mobile health environments
Not Available
Personal CO2 bubble: Context-dependent variations and wearable sensors usability
Not Available