Assembly, apparatus, system and method (PRaVDA range telescope)

Some embodiments of the present invention provide apparatus for detecting particles of radiation comprising: a plurality of solid state semiconductor detector devices provided at spaced apart locations along a beam axis, the detector devices each being configured to generate an electrical signal indicative of passage of a particle through or absorption of a particle by the device; and at least one absorber portion configured to absorb at least a portion of an energy of a particle, wherein one said at least one absorber portion is provided in a particle path between at least one pair of adjacent detector devices, the apparatus being configured to provide an output signal indicative of the energy of a particle, the output signal provided being dependent on the electrical signals indicative of passage of a particle through or absorption of a particle by the devices

PRaVDA: The First Solid-State System for Proton Computed Tomography

Proton CT is widely recognised as a beneficial alternative to con- ventional X-ray CT for treatment planning in proton beam radiotherapy. A novel proton CT imaging system, based entirely on solid-state detec- tor technology, is presented. Compared to conventional scintillator-based calorimeters, positional sensitive detectors allow for multiple protons to be tracked per read out cycle, leading to a potential reduction in proton CT scan time. Design and characterisation of its components are discussed. An early proton CT image obtained with a fully solid-state imaging sys- tem is shown and accuracy (as defined in Section IV) in Relative Stopping Power to water (RSP) quantified. A solid-state imaging system for proton CT, based on silicon strip detectors, has been developed by the PRaVDA collaboration. The sys- tem comprises a tracking system that infers individual proton trajecto- ries through an imaging phantom, and a Range Telescope (RT) which records the corresponding residual energy (range) for each proton. A back-projection-then-filtering algorithm is used for CT reconstruction of an experimentally acquired proton CT scan. An initial experimental result for proton CT imaging with a fully solid-state system is shown for an imaging phantom, namely a 75 mm diameter PMMA sphere containing tissue substitute inserts,imaged with a passively-scattered 125 MeV beam. Accuracy in RSP is measured to be ≤1.6% for all the inserts shown. A fully solid-state imaging system for proton CT has been shown capable of imaging a phantom with protons and successfully improving RSP accuracy. These promising results, together with system the capabil- ity to cope with high proton fluences (2×108 protons/s), suggests that this research platform could improve current standards in treatment planning for proton beam radiotherapy

Assembly, apparatus, system and method (PRaVDA strip detector)

Some embodiments of the present invention provide a 2D position-sensitive detector assembly comprising at least three substantially planar detector portions arranged in overlapping relationship as viewed normal to a plane of the detector portions, each detector portion comprising an array of substantially parallel, linear detector elements, the detector elements of respective detector portions being mutually non-parallel, the detector elements each being configured to generate one or more electrical signals in response to interaction of a particle of radiation therewith

Abdominal aortic aneurysm is associated with a variant in low-density lipoprotein receptor-related protein 1

Abdominal aortic aneurysm (AAA) is a common cause of morbidity and mortality and has a significant heritability. We carried out a genome-wide association discovery study of 1866 patients with AAA and 5435 controls and replication of promising signals (lead SNP with a p value < 1 × 10-5) in 2871 additional cases and 32,687 controls and performed further follow-up in 1491 AAA and 11,060 controls. In the discovery study, nine loci demonstrated association with AAA (p < 1 × 10-5). In the replication sample, the lead SNP at one of these loci, rs1466535, located within intron 1 of low-density-lipoprotein receptor-related protein 1 (LRP1) demonstrated significant association (p = 0.0042). We confirmed the association of rs1466535 and AAA in our follow-up study (p = 0.035). In a combined analysis (6228 AAA and 49182 controls), rs1466535 had a consistent effect size and direction in all sample sets (combined p = 4.52 × 10-10, odds ratio 1.15 [1.10-1.21]). No associations were seen for either rs1466535 or the 12q13.3 locus in independent association studies of coronary artery disease, blood pressure, diabetes, or hyperlipidaemia, suggesting that this locus is specific to AAA. Gene-expression studies demonstrated a trend toward increased LRP1 expression for the rs1466535 CC genotype in arterial tissues; there was a significant (p = 0.029) 1.19-fold (1.04-1.36) increase in LRP1 expression in CC homozygotes compared to TT homozygotes in aortic adventitia. Functional studies demonstrated that rs1466535 might alter a SREBP-1 binding site and influence enhancer activity at the locus. In conclusion, this study has identified a biologically plausible genetic variant associated specifically with AAA, and we suggest that this variant has a possible functional role in LRP1 expression

Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic Aneurysms

Background: Intracranial aneurysms (IAs), abdominal aortic aneurysms (AAAs), and thoracic aortic aneurysms (TAAs) all have a familial predisposition. Given that aneurysm types are known to co‐occur, we hypothesized that there may be shared genetic risk factors for IAs, AAAs, and TAAs. Methods and Results: We performed a mega‐analysis of 1000 Genomes Project‐imputed genome‐wide association study (GWAS) data of 4 previously published aneurysm cohorts: 2 IA cohorts (in total 1516 cases, 4305 controls), 1 AAA cohort (818 cases, 3004 controls), and 1 TAA cohort (760 cases, 2212 controls), and observed associations of 4 known IA, AAA, and/or TAA risk loci (9p21, 18q11, 15q21, and 2q33) with consistent effect directions in all 4 cohorts. We calculated polygenic scores based on IA‐, AAA‐, and TAA‐associated SNPs and tested these scores for association to case‐control status in the other aneurysm cohorts; this revealed no shared polygenic effects. Similarly, linkage disequilibrium–score regression analyses did not show significant correlations between any pair of aneurysm subtypes. Last, we evaluated the evidence for 14 previously published aneurysm risk single‐nucleotide polymorphisms through collaboration in extended aneurysm cohorts, with a total of 6548 cases and 16 843 controls (IA) and 4391 cases and 37 904 controls (AAA), and found nominally significant associations for IA risk locus 18q11 near RBBP8 to AAA (odds ratio [OR]=1.11; P=4.1×10−5) and for TAA risk locus 15q21 near FBN1 to AAA (OR=1.07; P=1.1×10−3). Conclusions: Although there was no evidence for polygenic overlap between IAs, AAAs, and TAAs, we found nominally significant effects of two established risk loci for IAs and TAAs in AAAs. These two loci will require further replication

The engineering classification of karst with respect to the role and influence of caves

The engineering classification of karst defines various complexities of ground conditions, in terms of the hazards that they provide to potential construction. Karst is divided into five classes (from immature to extreme). The three key parameters within the classification are caves (size and extent), sinkholes (abundance and collapse frequency) and rockhead (profile and relief). As one component of karst, caves are a hazard to foundation integrity, though natural surface collapses over caves are extremely rare. A cave roof is normally stable under engineering loading where the roof thickness is greater than 70% of the cave width. Construction can proceed over or around caves that are known. The main difficulty is finding unseen voids; ground investigation in mature karst may require extensive borehole probing, and microgravity is the most useful geophysical technique

Great Caves of the World

A stunning visual tour of the world\u27s most spectacular caves and cave systems. Caves are found on every continent. The United States is home to the world\u27s longest cave system, the Mammoth Cave in Kentucky, and to the world\u27s most popular tourist cave, New Mexico\u27s Carlsbad Caverns. Great Caves of the World takes readers to these and 25 other astonishing and challenging caves across the globe. Each entry includes lavish photographs and authoritative text describing the cave, its inhabitants, its environment, how and when it was discovered, access sites, and travel tips on how to get there.In addition to Carlsbad and Mammoth, featured caves include:Sterkfontein Cave in South Africa, the site of four-million-year-old hominid remains New Zealand\u27s Waitomo Cave, dazzlingly illuminated by glow-worms The underground waterfalls of Gruta do Janelão, Brazil Looming glaciers of ice in Austria\u27s limestone caves The cool Nullarbar Caves under the Australian desert Ethiopia\u27s underground maze, the Sof Omar Cave The Caves of Mulu in Sarawak (Borneo), the world\u27s largest Castleguard Cave in the Canadian Rockies. Geologists, expert cavers, spelunkers, climbers, adventure travelers, natural history enthusiasts and general readers will find this book fascinating

Great Caves of the World

A stunning visual tour of the world\u27s most spectacular caves and cave systems. Caves are found on every continent. The United States is home to the world\u27s longest cave system, the Mammoth Cave in Kentucky, and to the world\u27s most popular tourist cave, New Mexico\u27s Carlsbad Caverns. Great Caves of the World takes readers to these and 25 other astonishing and challenging caves across the globe. Each entry includes lavish photographs and authoritative text describing the cave, its inhabitants, its environment, how and when it was discovered, access sites, and travel tips on how to get there.In addition to Carlsbad and Mammoth, featured caves include:Sterkfontein Cave in South Africa, the site of four-million-year-old hominid remains New Zealand\u27s Waitomo Cave, dazzlingly illuminated by glow-worms The underground waterfalls of Gruta do Janelão, Brazil Looming glaciers of ice in Austria\u27s limestone caves The cool Nullarbar Caves under the Australian desert Ethiopia\u27s underground maze, the Sof Omar Cave The Caves of Mulu in Sarawak (Borneo), the world\u27s largest Castleguard Cave in the Canadian Rockies. Geologists, expert cavers, spelunkers, climbers, adventure travelers, natural history enthusiasts and general readers will find this book fascinating

The engineering classification of karst with respect to the role and influence of caves

The engineering classification of karst defines various complexities of ground conditions, in terms of the hazards that they provide to potential construction. Karst is divided into five classes (from immature to extreme). The three key parameters within the classification are caves (size and extent), sinkholes (abundance and collapse frequency) and rockhead (profile and relief). As one component of karst, caves are a hazard to foundation integrity, though natural surface collapses over caves are extremely rare. A cave roof is normally stable under engineering loading where the roof thickness is greater than 70% of the cave width. Construction can proceed over or around caves that are known. The main difficulty is finding unseen voids; ground investigation in mature karst may require extensive borehole probing, and microgravity is the most useful geophysical technique