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Fundamentals of Chest Radiographic Image Interpretation

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Fundamentals of Chest Radiographic Image Interpretation

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This module will help you develop and apply skills to recognise normal and abnormal appearances of chest radiographic images. By the end of the module you will be able to synthesise clinical information commonly seen in acute and emergency care with radiographic appearances to enable you to describe the radiographic appearances in a written format. Learning is split into sections designed to cover differing aspects of chest radiography including: collapse and consolidation; blunt trauma; cardiac abnormalities. This module alone does not prove competence to provide medical reports, professionals undertaking it will be able to use their knowledge and skills to enhance the service they provide according to their employer's policies.

For Diagnostic Radiographers, this module will enhance your 'red dot' skills. Those wishing to move into formal radiographic reporting are advised to seek the advice of the Module Leader.

Who the module is aimed at 

The module is relevant to professionals who use or interpret images in their practice, typically diagnostic and therapeutic radiographers and nurses.  

Benefits of taking the module to the individual, the organisation and the patient

By studying this module you can informally interpret radiographic appearances of the chest.

What you learn 

By engaging successfully with this module you can:

  • recognise normal and abnormal appearances of radiographic images of the chest
  • formulate a diagnosis or differential diagnoses
  • formulate and communicate a written professional opinion based on the interpretation of radiographic images of the chest

General areas covered 

  • systematic approach to the chest
  • normal appearances / normal variants
  • acute respiratory conditions
  • common chronic lung disease and malignancy
  • trauma
  • position of lines, tubes, and drains

Skills gained for the workplace, technical skills or academic skills 

Technical skills in image interpretation.

Unique or interesting features

Successful completion of this module may be used for entry into, or as a part of  more formal qualifications in Image Reporting.

To study this distance learning module you will require access to a computer with:

  • a reliable internet connection
  • Microsoft or Apple Mac Supported Office Software
  • the current version of Google Chrome or Mozilla Firefox

Fees and Funding for 2022/23

Indicative price for stand-alone module

Home student: £710

EU / International students: £710 - this is part-time study and therefore cannot provide sponsorship for Tier 4.

How to apply

To apply for a self-funded place, please complete and return the application form below:

To apply for a Workforce Development / Workforce Transformation funding WDF/WTF funded place, please complete and return the relevant application form below

Further information and Workforce Development Funding / CPD Funding online application form

  • Entry requirements


    • Relevant professional health qualification
    • Relevant work experience
    • Relevant workplace opportunities and organisational support


    (The above must be evidenced in the applicants application form)

    International students must have reliable internet access and supply IELTS of 6.5 or above (or equivalent).


  • Attendance

    Delivery Method:

    This module is delivered via distance learning

    View our statement on notional study hours »

    Provisional timetable

    This module has two planned intakes as follows:

    September 2022 and January 2023

    This module is delivered via distance learning.  Attendance at the university is not required but engagement with online activity is expected.

    View our statement on timetable changes »

  • Assessment

    Module assessment is made up of one or more assessment tasks. The assessment task(s) for this module are:

    • Phase Test

    Successful completion of this module will earn you 15 level 7 credits

Further details

For further information please contact the module leader Denise Foulkes - or contact the student experience team:

Cancel event

Are you sure you want to cancel your place on Saturday 12 November?