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RDI-20015 - Module Specification
School of Allied Health Professions
Faculty of Medicine & Health Sciences

For academic year: 2023/24 Last Updated: 13 February 2024

RDI-20015 - Imaging Technologies: Principles and Research
Coordinator: Phillip Andrews Tel: +44 1782 7 34560
Lecture Time: See Timetable...
Level: Level 5
Credits: 30
Study Hours: 300
School Office:

Programme/Approved Electives for 2023/24

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2023/24

Having understood the principles and equipment of projectional radiography and acquired foundational knowledge in research methods at the previous level of study, this module builds on that base to present the Principles, Equipment and Techniques of cross-sectional imaging modalities and the use of machine learning and artificial intelligence in radiography. These will be taught alongside the skills required to critically appraise the radiographic literature. The student will develop the skills to systematically search and review the literature and a working knowledge of research methods and paradigms in order to construct a research proposal to address a particular research question, selecting appropriate research methods. This final research proposal is expected to form the basis of the student¿s final year dissertation.

Aims
The aim of the module is to provide the student with an understanding of the principles, equipment and techniques of the various technologies within Diagnostic Imaging and to enable them to use this understanding to recommend appropriate imaging strategies to address clinical questions and evaluate imaging techniques with reference to the radiographic literature. Students will also be equipped to identify appropriate research questions and methods to advance the evidence base, in preparation for their final year dissertation.

Intended Learning Outcomes

Evaluate and compare imaging strategies, employing understanding of the principles, equipment and techniques of cross-sectional imaging modalities and evidence from the radiographic literature.: 1,2
Understand the essential principles of, and begin to evaluate, the use of artificial intelligence and machine learning in aspects of diagnostic imaging: 1
Formulate effective search strategies using health related databases: 1,2
Further develop critical appraisal skills to assess the quality of relevant literature: 1,2
Select appropriate research designs for a range of research questions and recognize the strengths and limitations of each design: 2,3
Select appropriate descriptive statistics and an appropriate method of analysis for a proposed research project: 3
Develop a research proposal including any necessary ethical considerations and possible dissemination strategies: 3

Study hours

Scheduled
Seminars and workshops ~ 20 hours
In situ or synchronous Lectures ~ 30 hours
Independent study
Asynchronous material (prerecorded lectures and Sways etc) ~ 15 hours
Prep for seminars/workshops ~ 20 hours
Assessment 1 prep and writing ~ 40 hours
Assessment 2 prep and writing ~ 40 hours
Assessment 3 prep and writing ~ 15 hours
Additional reading and independent study ~ 120 hours

School Rules

None

Description of Module Assessment

1: Assignment weighted 40%
2500 word critical evaluation of three articles
2500 word critical appraisal of three different research articles from the recent radiographic literature. The articles should be chosen to reflect the varied modalities and research methods covered in the module, as directed by the module leader in the published assessment brief.

2: Literature Review weighted 40%
2500 word literature Review
An 2500 word review of the literature addressing a particular topic in Diagnostic Imaging in support of the research proposal (assessment 3) for the level 6 dissertation. A critical appraisal tool such as CASP must be used and evidence of systematic development of a search strategy is also required.

3: Research Proposal weighted 20%
Research Proposal
An 800-word research proposal submitted via a proforma. This should be on the same topic as Assessment 2, the systematic review, and is expected to form the basis of the student¿s final year dissertation.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 13 February 2024