Nonfamilial Bilateral Synchronous Renal Cell Carcinoma with Discordant Histology with Eventual Complete Response to Dual Immunotherapy.

Bilateral synchronous renal cell carcinoma (RCC) is rare, especially in sporadic rather than familial cases. While immunotherapy has improved prognosis, RCC remains a diagnosis with significant morbidity and mortality, particularly pronounced in patients with sarcomatoid RCC (sRCC). We describe a case of a patient with bilateral, synchronous, nonfamilial RCC, with and without sarcomatoid features and differing genetic markers, who demonstrated a pathologic response after neoadjuvant nivolumab and ipilimumab. The patient then had radical left nephrectomy and partial right nephrectomy followed by adjuvant nivolumab and cabozantinib, after which the patient had no evidence of disease. Our patient's illustrative case shows the potential therapeutic value of immunotherapy even in sRCC, the disease's most aggressive clinical subtype.

A hybrid multi-particle approach to range assessment-based treatment verification in particle therapy.

Particle therapy (PT) used for cancer treatment can spare healthy tissue and reduce treatment toxicity. However, full exploitation of the dosimetric advantages of PT is not yet possible due to range uncertainties, warranting development of range-monitoring techniques. This study proposes a novel range-monitoring technique introducing the yet unexplored concept of simultaneous detection and imaging of fast neutrons and prompt-gamma rays produced in beam-tissue interactions. A quasi-monolithic organic detector array is proposed, and its feasibility for detecting range shifts in the context of proton therapy is explored through Monte Carlo simulations of realistic patient models and detector resolution effects. The results indicate that range shifts of [Formula: see text] can be detected at relatively low proton intensities ([Formula: see text] protons/spot) when spatial information obtained through imaging of both particle species are used simultaneously. This study lays the foundation for multi-particle detection and imaging systems in the context of range verification in PT.

Author Correction: A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy.

Uncertainties in the proton range in tissue during proton therapy limit the precision in treatment delivery. These uncertainties result in expanded treatment margins, thereby increasing radiation dose to healthy tissue. Real-time range verification techniques aim to reduce these uncertainties in order to take full advantage of the finite range of the primary protons. In this paper, we propose a novel concept for real-time range verification based on detection of secondary neutrons produced in nuclear interactions during proton therapy. The proposed detector concept is simple; consisting of a hydrogen-rich converter material followed by two charged particle tracking detectors, mimicking a proton recoil telescopic arrangement. Neutrons incident on the converter material are converted into protons through elastic and inelastic (n,p) interactions. The protons are subsequently detected in the tracking detectors. The information on the direction and position of these protons is then utilized in a new reconstruction algorithm to estimate the depth distribution of neutron production by the proton beam, which in turn is correlated with the primary proton range. In this paper, we present the results of a Monte Carlo feasibility study and show that the proposed concept could be used for real-time range verification with millimetric precision in proton therapy.

Implementation and testing of a multivariate inverse radiation transport solver.

Detection, identification, and characterization of special nuclear materials (SNM) all face the same basic challenge: to varying degrees, each must infer the presence, composition, and configuration of the SNM by analyzing a set of measured radiation signatures. Solutions to this problem implement inverse radiation transport methods. Given a set of measured radiation signatures, inverse radiation transport estimates properties of the source terms and transport media that are consistent with those signatures. This paper describes one implementation of a multivariate inverse radiation transport solver. The solver simultaneously analyzes gamma spectrometry and neutron multiplicity measurements to fit a one-dimensional radiation transport model with variable layer thicknesses using nonlinear regression. The solver's essential components are described, and its performance is illustrated by application to benchmark experiments conducted with plutonium metal.

FPIN's Clinical Inquiries. Aspirin use in children for fever or viral syndromes.

Aspirin should not be used to treat acute febrile viral illness in children. (Strength of Recommendation [SOR]: C, based on case-control studies). Although no causal link has been proven, data from case-control and historic cohort studies demonstrate an association between aspirin use and Reye syndrome. The risk of Reye syndrome decreases with age, becoming extremely rare by the late teenage years. Other nonsteroidal anti-inflammatory drugs are effective antipyretics and are not associated with the constellation of symptoms seen in Reye syndrome, which includes nausea, vomiting, headache, excitability, delirium, combativeness, and coma. Aspirin use in children younger than 19 years should be limited to diseases in which aspirin has a proven benefit, such as Kawasaki disease and the juvenile arthritides. (SOR: C, based on expert opinion).