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Recommended Workflow Methodology in the Creation of an Interactive Application for Patient’s Diagnosed with Pancreatic Cancer

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Biomedical Visualisation

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1171))

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.

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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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Fredieu JR, Kerbo J, Herron M, Klatte R, Cooke M (2015) Anatomical Models: a Digital Revolution. Med Sci Educ 25(2):183–194

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Kessels RPC (2003) Patients’ memory for medical information. J R Soc Med 96(5):219–222

    PubMed  PubMed Central  Google Scholar 

  • 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

    Chapter  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  Google Scholar 

  • Murgitroyd E, Madurska M, Gonzalez J, Watson A (2015) 3D digital anatomy modelling – practical or pretty? Surgeon 13(3):177–180

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Pancreatic Cancer UK (2015) Diagnosis Manifesto for Scotland

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Google Scholar 

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Correspondence to Paul M. Rea .

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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

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