Visual-spatial dimension integration in digital pathology education enhances anatomical pathology learning.

Ken Lee Wan, Arkendu Sen, Lakshmi Selvaratnam, Mohd Imran Mohd Naing, Joon Joon Khoo, Pathmanathan Rajadurai
Author Information
  1. Ken Lee Wan: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia. drwankenlee@gmail.com.
  2. Arkendu Sen: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
  3. Lakshmi Selvaratnam: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
  4. Mohd Imran Mohd Naing: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
  5. Joon Joon Khoo: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
  6. Pathmanathan Rajadurai: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.

Abstract

Literature review demonstrated a surprising lack of publications on digital e-learning pathology resources for senior medical undergraduates and interns. An interactive Digital Pathology Repository (iDPR) integrating two- and three-dimensional (2D, 3D) high-resolution anatomical pathology images with correlated digital histopathology was developed. The novel iDPR was rigorously evaluated using mixed methods to assess pathology knowledge gains (pre- and post-tests), quality impact analysis (questionnaire), user feedback (focus group discussions) and user visual behaviour (eye gaze tracking analysis of 2D/ 3D images).Exposure to iDPR appeared to improve user pathology knowledge, as observed by significantly increased test scores on topic-related quizzes (n = 69, p < 0.001). In addition, most users were highly satisfied with the key design elements of the iDPR tool. Focus group discussion revealed the iDPR was regarded as a relevant online learning resource, although some minor technical issues were also noted. Interestingly, visual behaviour trends indicated that specific diagnostic pathological lesions could be correctly identified faster in 3D images, when compared to 2D images.The iDPR offers promise and potential in pathology education for senior clinical students and interns, gauging from both qualitative and quantitative positive user feedback. With incorporation of image annotations and interactive functionality, and with further technology development, this would prove a useful tool for diagnostic pathology and telepathology. As images with added visual-spatial dimension can provide enhanced detail and aid more rapid diagnosis, future applications of the iDPR could include virtual reality or holographic images of anatomical pathology specimens.

Keywords

References

  1. Arch Pathol Lab Med. 2000 Jun;124(6):853-8 [PMID: 10835520]
  2. Anat Sci Educ. 2021 May;14(3):330-341 [PMID: 33735524]
  3. J Pathol Inform. 2021 May 18;12:22 [PMID: 34267987]
  4. BMC Med Educ. 2014 Jan 14;14:11 [PMID: 24422898]
  5. Am J Clin Pathol. 2015 Jan;143(1):11-7 [PMID: 25511137]
  6. J Neurosci Methods. 2010 Jul 15;190(2):289-98 [PMID: 20580646]
  7. PLoS One. 2013 Dec 05;8(12):e82328 [PMID: 24349257]
  8. J Neurophysiol. 2014 Feb;111(3):533-43 [PMID: 24198326]
  9. Vet Pathol. 2010 Sep;47(5):995-1002 [PMID: 20807827]
  10. Hum Pathol. 2015 May;46(5):637-42 [PMID: 25776028]
  11. Anat Sci Educ. 2016 Nov;9(6):529-536 [PMID: 27078503]
  12. BMC Med Educ. 2012 May 28;12:36 [PMID: 22640463]
  13. Arch Pathol Lab Med. 2004 Nov;128(11):1247-50 [PMID: 15504059]
  14. Int J Psychophysiol. 2012 Mar;83(3):365-74 [PMID: 22206906]
  15. Hum Pathol. 2011 Jun;42(6):802-7 [PMID: 21292295]
  16. Med J Aust. 2007 Oct 1;187(7):380-1 [PMID: 17907997]
  17. J Pathol Inform. 2016 May 04;7:22 [PMID: 27217972]
  18. Med Teach. 2004 May;26(3):276-8 [PMID: 15203508]
  19. Pathology. 2005 Oct;37(5):360-3 [PMID: 16194846]
  20. Hum Pathol. 2012 Apr;43(4):567-76 [PMID: 21925706]
  21. World J Surg. 2014 Nov;38(11):2746-52 [PMID: 25002241]
  22. Hum Pathol. 1998 Sep;29(9):1017-20 [PMID: 9744321]
  23. Arch Pathol Lab Med. 2014 Mar;138(3):316-21 [PMID: 24576025]
  24. Medicina (Kaunas). 2008;44(6):428-38 [PMID: 18660637]
  25. Med Teach. 2021 Feb;43(2):189-197 [PMID: 33103933]

MeSH Term

Curriculum
Education, Distance
Educational Status
Humans
Learning
Pathology
Telepathology

Word Cloud

Created with Highcharts 10.0.0pathologyiDPRimages3DusereducationdigitalinternsanatomicallearningseniormedicalinteractiveDigitalPathology2DknowledgeanalysisfeedbackgroupvisualbehaviourtooldiagnosticdimensionLiteraturereviewdemonstratedsurprisinglackpublicationse-learningresourcesundergraduatesRepositoryintegratingtwo-three-dimensionalhigh-resolutioncorrelatedhistopathologydevelopednovelrigorouslyevaluatedusingmixedmethodsassessgainspre-post-testsqualityimpactquestionnairefocusdiscussionseyegazetracking2D/Exposureappearedimproveobservedsignificantlyincreasedtestscorestopic-relatedquizzesn = 69p < 0001additionusershighlysatisfiedkeydesignelementsFocusdiscussionrevealedregardedrelevantonlineresourcealthoughminortechnicalissuesalsonotedInterestinglytrendsindicatedspecificpathologicallesionscorrectlyidentifiedfastercomparedTheofferspromisepotentialclinicalstudentsgaugingqualitativequantitativepositiveincorporationimageannotationsfunctionalitytechnologydevelopmentproveusefultelepathologyaddedvisual-spatialcanprovideenhanceddetailaidrapiddiagnosisfutureapplicationsincludevirtualrealityholographicspecimensVisual-spatialintegrationenhancesAnatomicalHistopathologyMedicalTechnologyTechnology-enhancedThree-dimensionalimaging

Similar Articles

Cited By