Abstract
Pancreatic cancer is a leading cause of cancer related deaths in the UK. However, public knowledge and understanding of the pancreas is generally poor, therefore pancreatic cancer patients often have to contend with understanding large quantities of new information at a pivotal time in their lives.
Despite utilisation of digital visualisation techniques in medical education, very rarely are they being used to help clinicians communicate information to their patients. Specifically, there is no literature describing use of an interactive digital application for use by healthcare professionals to aid discussions specific to pancreatic cancer.
Therefore, we developed a workflow methodology, and created an interactive application, thus creating a tool that could help clinicians explain pancreatic cancer anatomy, and staging, to their patients. Three-dimensional (3D) digital models were created using ZBrush and Autodesk 3DS Max, and exported into the Unity game engine. Within Unity, the interactivity of models was maximally utilised, and a simple user interface created.
The application centres on anatomically accurate, visually simple, 3D digital models, demonstrating a variety of common scenarios that arise in pancreatic cancer. The design of the application is such that the clinician can select which model is relevant to the patient, and can give an explanation of the anatomy and disease process at a speed and level appropriate to that person. This simple, robust and effective workflow methodology for the development of an application could be useful in any clinical setting that needs visual and interactive tools to enhance patient understanding of a clinical condition.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Biglino G, Capelli C, Wray J, Schievano S, Leaver L-K, Khambadkone S, Giardini A, Derrick G, Jones A, Taylor AM (2015) 3D-manufactured patient-specific models of congenital heart defects for communication in clinical practice: feasibility and acceptability. BMJ Open 5(4):e007165. https://doi.org/10.1136/bmjopen-2014-007165
Clunie L, Livingstone D, Rea P (2015) Innovative taught MSc in medical visualisation and human anatomy. J Vis Commun Med Early Online Publication:1–6. https://doi.org/10.3109/17453054.2015.1038501
D’Angelica M, Hirsch K, Ross H, Passik S, Brennan MF (1998) Surgeon-patient communication in the treatment of pancreatic cancer. Arch Surg 133:962–966
Fredieu JR, Kerbo J, Herron M, Klatte R, Cooke M (2015) Anatomical Models: a Digital Revolution. Med Sci Educ 25(2):183–194
Green M, Rossall P (2013) Digital inclusion evidence review. Available at: http://www.ageuk.org.uk/Documents/EN-GB/For-professionals/Research/Age UK Digital Inclusion Evidence Review 2013.pdf?dtrk=true. Accessed 17 May 2017
Hanratty B, Lowson E, Holmes L, Grande G, Jacoby A, Payne S, Seymour J, Whitehead M (2012) Breaking bad news sensitively: what is important to patients in their last year of life? BMJ Support Palliat Care 2:24–28
Heller L, Parker P, Youssef A, Miller MJ (2008) Interactive digital education aid in breast reconstruction. Plast Reconstr Surg 122(3):717–724. https://doi.org/10.1097/PRS.0b013e318180ed06
Hermann M, Abteilung C, Spital KE (2002) 3 D computer animation – a new medium to optimize preoperative information for patients. Evaluation of acceptance and effectiveness in a prospective randomized study. Chirurg 73:500–507
Houts PS, Witmer JT, Egeth HE, Loscalzo MJ, Zabora JR (1998) Using pictographs to enhance recall of spoken medical instructions. Patient Educ Couns 35:83–88
Jenkins V, Fallowfield L, Saul J (2001) Information needs of patients with cancer: results from a large study in UK cancer centres. Br J Cancer 84(1):48–51
Kessels RPC (2003) Patients’ memory for medical information. J R Soc Med 96(5):219–222
Ma M Bale K, Rea P (2012) Constructionist learning in anatomy education: what anatomy students can learn through serious games development. In Ma M et al (eds) Serious games development and applications, lecture notes in computer science, LNCS; 7528, 43–58. Springer-Verlag Berlin Heidelberg, ISBN 9783642336874
Manson A, Poyade M, Rea P (2015) A recommended workflow methodology in the creation of an educational and training application incorporating a digital reconstruction of the cerebral ventricular system and cerebrospinal fluid circulation to aid anatomical understanding. BMC Med Imaging 15:44. https://doi.org/10.1186/s12880-015-0088-6
McNulty JA, Sonntag B, Sinacore JM (2009) Evaluation of computer-aided instruction in a gross anatomy course: a six-year study. Anat Sci Educ 2(1):2–8
Murgitroyd E, Madurska M, Gonzalez J, Watson A (2015) 3D digital anatomy modelling – practical or pretty? Surgeon 13(3):177–180
Ong LM, Visser MR, Lammes FB, de Haes JC (2000) Doctor-patient communication and cancer patients’ quality of life and satisfaction. Patient Educ Couns 41:145–156
Pancreatic Cancer UK (2015) Diagnosis Manifesto for Scotland
Payne J (2014) Breaking bad news, Patient.co.uk. [Online]. Available: http://m.patient.media/pdf/1884.pdf?v=635967785697445383. Accessed 17 May 2017
Roter D (1989) Which facets of communication have a strong effect on outcome- a meta analysis. In: Stewart M, Roter D (eds) Communicating with medical patients, 1st edn. SAGE Publications, London, pp 183–196
Selic P, Svab I, Repolusk M, Guce NK (2011) What factors affect patients’ recall of general practitioners’ advice. BMC Fam Pract 12:141. https://doi.org/10.1186/1471-2296-12-141
Tam MDBS, Hart R, Williams SM, Holland R, Heylings D, Leinster S (2010) Evaluation of a computer program (‘dissect’) to consolidate anatomy knowledge: a randomised-controlled trial. Med Teach 32(3):e138–e142
Welsh E, Anderson P, Rea P (2014) A novel method of anatomical data acquisition using the Perceptron ScanWorks V5 scanner. Int J Recent Innov Trends Comput Commun 2(8):2265–2276. ISSN:2321-8169
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Knight, O., Carter, C.R., Loranger, B., Rea, P.M. (2019). Recommended Workflow Methodology in the Creation of an Interactive Application for Patient’s Diagnosed with Pancreatic Cancer. In: Rea, P. (eds) Biomedical Visualisation. Advances in Experimental Medicine and Biology, vol 1171. Springer, Cham. https://doi.org/10.1007/978-3-030-24281-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-24281-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24280-0
Online ISBN: 978-3-030-24281-7
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)