Outline

Overview

This unit will provide an integration of mammography theory and practice and includes: the context of breast cancer and breast screening; fundamentals of mammography, both digital and film/screen; radiation physics; positioning techniques; and radiographer -patient interaction. An overview of emerging technologies in breast cancer detection is also provided.

Unit details and rules

Academic unit	Clinical Imaging
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Amanda Punch, amanda.punch@sydney.edu.au
Guest lecturer(s)	Ann Poulos, ann.poulos@sydney.edu.au
Lecturer(s)	Amanda Punch, amanda.punch@sydney.edu.au
Tutor(s)	Yun Trieu, phuong.trieu@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Assignment	Discussion 1 and 2 Discussion Forum on set topics Each student contributes to two discussions	15%	Multiple weeks Due date: 12 Apr 2024 at 22:00 Closing date: 12 Apr 2024	over 4 Weeks
Outcomes assessed:
Assignment	Reflective portfolio (progress submission) Reflective Portfolio reflecting on Weeks 1&2 modules questions.	0%	Week 03 Due date: 08 Mar 2024 at 22:00 Closing date: 08 Mar 2024	250 words
Outcomes assessed:
Assignment	Case study Case study and written task	30%	Week 09 Due date: 26 Apr 2024 at 22:00 Closing date: 26 Apr 2024	2000 words maximum
Outcomes assessed:
Assignment	Reflective portfolio (final submission) Portfolio answering questions on weeks 6-12 modules.	55%	Week 13 Due date: 24 May 2024 at 22:00 Closing date: 24 May 2024	2800 maximum words
Outcomes assessed:
= AI allowed ?

Assessment summary

Two Discussion forums .students engage with each other online on the topics.

Case study covering Breast Pathology topic

Reflective Portfolio Weeks 1and 2 for Feedback followed by Weeks 6 to 12.

Submit a progress draft end of week 3.Then completing the portfolio at the end of the semester.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator.

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions.

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit.

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply.

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

In accordance with university policy, these penalties apply when written work is submitted after 11:59pm on the due date: • Deduction of 5% of the maximum mark for each calendar day after the due date. • After ten calendar days late, a mark of zero will be awarded. Special consideration If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements. Academic integrity The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously. We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction to unit: Breast screening - introduction and overview of mammography screening	Online class (2 hr)
Week 02	Epidemiology of breast cancer: Risk factors; Genetics	Online class (2 hr)
Week 03	Anatomy and physiology of the breast	Online class (2 hr)
Week 04	Breast pathology	Online class (2 hr)
Week 05	Mammographic equipment	Online class (2 hr)
Week 06	Quality control and QA processes	Online class (2 hr)
Week 07	Positioning techniques including trouble-shooting	Online class (2 hr)
Week 08	Breast compression	Online class (2 hr)
Week 09	Breast density	Online class (2 hr)
Week 10	Diagnostic pathway - work-up views, ultrasound, percutaneous techniques	Online class (2 hr)
Week 11	Psychology and sociology	Online class (2 hr)
Week 12	Women’s perspectives on cancer treatment options	Online class (2 hr)
Week 13	OH&S, advanced practice, legal issues	Online class (2 hr)

Attendance and class requirements

Attendance: The unit will be presented in distance education format with no requirement for attendance on-campus. The unit provides online course materials through Canvas. There is also email and zoom meeting support.
Required materials: Online/distance education units of study have the following computer requirements - desktop computer or laptop (not tablet), webcam and microphone (built-in or external), connection to network with sufficient internet speed (at least 3Mbps download speed and 3Mbps upload).

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Recommended Textbook

Heywang-Köbrunner, S. H., Schreer, I., & Barte, S. (2014). Diagnostic breast imaging: mammography, sonography, magnetic resonance imaging, and interventional procedures (Third ed.). Stuttgart; New York: Thieme.

This text is available through the library.

Further readings supplied on Canvas Site

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. demonstrate an interest in research in mammography through critical analysis of journal articles and awareness of current debates in mammography
LO2. understand how theory and practice are integrated in mammography
LO3. demonstrate knowledge of the context of mammography in the diagnostic and screening setting
LO4. show knowledge of the application of mammographic techniques in the clinical environment
LO5. understand the perspectives of women attending for mammography and how this influences their behaviour.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Close the loop 2024 Thank you to the students who kindly took the trouble to complete the Unit of Study Survey for this Unit and provide me with comments. 60% response rate the mean satisfaction score for ‘quality of teaching. Students liked the pace and topics covered in the UOS. Students found the discussion forums Particularly**Close the Loop 2024** Thank you to the students who completed the Unit of Study Survey for this course and provided their feedback. We achieved a 80% response rate, with a mean satisfaction score indicating a positive perception of the quality of teaching. Students appreciated the pace of the course and the topics covered in the unit. Most Students found the discussion forums particularly engaging, as they shared their clinical and academic research with their peers. Amanda Punch

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI) and automated writing tools

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

MRTY5106: Breast Imaging A

Semester 1, 2025 [Online] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI) and automated writing tools

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links