PubMed Health⌕ Search

Biomedical subjects

C N Robinson

Publications and source records attributed to C N Robinson.

2 recordsLinked to original sources

A study of the personal radiation dose received by nuclear medicine technologists working in a dedicated PET center.

The use of dedicated PET scanners is becoming more widespread throughout Australia and the world. PET imaging utilizes short-lived (approximately 108 min), high-energy (511 keV) gamma-ray emitters that could result in a high radiation dose being received by staff. As part of a larger staff and area monitoring project, this paper discusses the personal dose equivalent, H(p)(10), received by PET staff working in a dedicated PET center. The typical H(p)(10) received by staff was approximately 1 microSv per minute of close contact with patients, which resulted in an average daily dose for nuclear medicine technologists of approximately 31 microSv. The average daily administered activity to patients at Austin Health was 1,280 MBq.

Humans↗

Simple graphical methods of displaying multiple clinical results.

A common challenge in clinical research trials is for applied statistics to manage, analyse, summarize and report an enormous amount of data. Nowadays, due to advances in medical technology, situations frequently arise where it is difficult to display and interpret results. Consequently, a creative approach is required to summarize the main outcomes of the statistical analyses in a form which is easy to grasp, to interpret and possibly to remember. In this paper a number of clinical case studies are provided. Firstly, a topographical map of the brain summarizing P-values obtained from comparisons across different EEG sites; secondly, a bulls eye plot, showing the agreement between observers in different regions of the heart; thirdly, a pictorial table reporting inter- and intra-rater reliability scores of a speech assessment; fourthly a star-plot to deal with numerous questionnaire results and finally a correlogram to illustrate significant correlation values between two diagnostic tools. The intention of this paper is to encourage the effort of visual representations of multiple statistical outcomes. Such representations do not only embellish the report, but aid interpretation by conveying a specific statistical meaning.

Clinical Trials as Topic↗