MRTY5106: Semester 1, 2022

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Units MRTY5106 Semester 1 2022 [Online]

Unit outline_

MRTY5106: Breast Imaging A

Semester 1, 2022 [Online] - Camperdown/Darlington, Sydney

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)	Tonima Ali, tonima.ali@sydney.edu.au
Lecturer(s)	Amanda Punch, amanda.punch@sydney.edu.au

Type	Description	Weight	Due	Length
Online task	Discussion forums 1 and 2 Forum post and participation	15%	Multiple weeks	n/a
Outcomes assessed:
Assignment	Reflective portfolio (progress submission) Portfolio	0%	Week 07	n/a
Outcomes assessed:
Assignment	Case study Case study and written task	30%	Week 10	1500-2000 words
Outcomes assessed:
Assignment	Reflective portfolio (final submission) Portfolio	55%	Week 13	5000-8000 words
Outcomes assessed:
= hurdle task ?

Assessment summary

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.

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.

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.

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

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

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 phone 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.

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 2021 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. While response rates are always lower than I hope for, the mean satisfaction score for ‘quality of teaching by the teacher(s)’ was a pleasing 4 (out of 5) averaged over the two years, thank you!! While the numbers are great, the most important thing I find is the comments you provide. As a qualitative researcher, I look for patterns and themes in the comments in order to address student concerns. Most students enjoyed the Unit, with comments stating: ‘Very clear objectives, format and learning tasks divided into weekly modules allowing you to pace yourself without feeling swamped. Good references - the right amount to be able to answer the questions. Encouraged you to reflect on own practice and question common understandings’ and ‘Comprehensive and well-rounded coverage to introduce breast imaging’. The thing respondents felt most needed improvement was that the number of replies required for the Discussion Forum tasks should be modified according to class size. Thank you for that comment, it’s an easy one to address! The depth of reading caused one or two students concern, so some readings have been flagged as ‘further’ reading , so you can better direct your time on essentials (note this Unit may have been more difficult for students in S1, 2020 due to the onset of the pandemic). Some students took the time to give us detailed comments which we really appreciate. We had some great compliments, thank you, and some useful constructive criticism. One student commented: ‘I really liked the reflective journal - it made me think a bit more than I would if I just had to read the literature online or watch videos. The … discussions … motivated me to do my own additional readings/research’. Thank you to that person!! Once again, thank you for your feedback. Kindest regards, Jill

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

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

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