Do we see what we think we see? The complexities of morphological assessment

Journal of Pathology

Volumn 218, Issue 3, 2009, Pages 285-291

  Hamilton, Peter W ^a   Van Diest, Paul J ^b   Williams, Richard ^c   Gallagher, Anthony G ^d  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d ROYAL COLLEGE OF SURGEONS IN IRELAND   (Ireland)

Author keywords

Bias; Decision making; Diagnosis; Error; Informatics; Morphology; Psychology; Simulation; Virtual microscopy

Indexed keywords

CLINICAL COMPETENCE; DECISION MAKING; MEDICAL EDUCATION; MEDICAL RESEARCH; PRIORITY JOURNAL; REVIEW;

CLINICAL COMPETENCE; DECISION MAKING; EDUCATION, MEDICAL, GRADUATE; HUMANS; PATHOLOGY, CLINICAL; PATTERN RECOGNITION, VISUAL;

EID: 67650079903     PISSN: 00223417     EISSN: 10969896     Source Type: Journal    
DOI: 10.1002/path.2527     Document Type: Review

References (49)

1. Fandel T, Pfnür M, Schäfer S, Bacchetti P, Mast F, Corinth C, et al. Do we truly see what we think we see? The role of cognitive bias in pathological interpretation. J Pathol 2008;216:193-200.
2. Carlson NR, Buskist W, Martin GN. Psychology; the Science of Behaviour. Allyn and Bacon: London, 2000.
3. Gray P. Psychology, 3rd edn. Worth Publishers: New York, 1999.
4. Moravec H. When will computer hardware match the human brain? J Evolution Technol. http://www.jetpress.org/volume1/moravec.htm [14 September 2008].
5. Bartels PH, Thompson D, Bartels HG, Montironi R, Scarpelli M, Hamilton PW. Machine vision-based histometry of premalignant and malignant prostatic lesions. Pathol Res Pract 1995;191:935-944.
6. Hamilton PW, Bartels PH, Montironi R, Anderson N, Thompson D, Diamond J, et al. Automated histometry in quantitative prostate pathology. Anal Quant Cytol Histol 1998;20:443-460.
7. Eastridge BJ, Hamilton EC, O'Keefe GE, Rege RV, Valentine RJ, Jones DJ, et al. Effect of sleep deprivation on the performance of simulated laparoscopic surgical skill. Am J Surg 2003;186:169-174.
8. Waurick R, Weber T, Bröking K, Van Aken H. The European Working Time Directive: effect on education and clinical care. Curr Opin Anaesthesiol 2007;20:576-579.
9. Morrison CA, Wyatt MM, Carrick MM. Impact of the 80-hour work week on mortality and morbidity in trauma patients: an analysis of the National Trauma Data Bank. J Surg Res 2008;DOI:10.1016/j.jss.2008.06.004.
10. Tole MH, Schiffman M. Interobserver reproducibility of cervical cytologic and histological interpretations. J Am Med Assoc 2001;285:1500- 1505.
11. Boiesen P, Bendahl PO, Anagnostaki L, Domanski H, Holm E, Idvall I, et al. Histologic grading in breast cancer: reproducibility between seven pathologic departments. South Sweden Breast Cancer Group. Acta Oncol 2000;39:41-45.
12. Dalton LW, Page DL, Dupont WD. Histologic grading of breast carcinoma. A reproducibility study. Cancer 1994;73:2765-2770.
13. Frierson HF Jr, Wolber RA, Berean KW, Franquemont DW, Gaffey MJ, Boyd JC, et al. Interobserver reproducibility of the Nottingham modification of the Bloom and Richardson histologic grading scheme for infiltrating ductal carcinoma. Am J Clin Pathol 1995;103:195-198.
14. Theissig F, Kunze KD, Haroske G, Meyer W. Histological grading of breast cancer. Interobserver reproducibility and prognostic significance. Pathol Res Pract 1990;186:732-736.
15. Allsbrook W. Interobserver reproducibility of Gleason grading of prostatic carcinoma: general pathologist. Hum Pathol 2001;32:81- 88.
16. De La Taille A. Evaluation of the interobserver reproducibility of Gleason grading of prostatic adenocarcinoma using tissue microarrays. Hum Pathol 2003;34:444-449.
17. Ackerman A, Bernard MD. 'Individuality' in the specialty of surgical pathology. Am J Surg Pathol 2001;25:1100-1101.
18. Medline PB. Pathologists should retain their individuality. Am J Surg Pathol 2000;24:1577.
19. Foucar E. 'Individuality' in the specialty of surgical pathology: self expression or just another source of diagnostic error? Am J Surg Pathol 2000;24:1573-1576.
20. Decaestecker C, Camby I, Remmelink M, Nagy N, Petein M, Pasteels J-L, et al. Decision tree induction: a useful tool for assisted diagnosis and prognosis in tumor pathology. Lab Invest 1997;76:799-808.
21. Dennis JL, Hvidsten TR, Wit EC, Komorowski J, Bell AK, Downie I, et al. Markers of adenocarcinoma characteristic of the site of origin: development of a diagnostic algorithm. Clin Cancer Res 2005;11:3766-3772.
22. van der Groep P, Bouter A, van der Zanden R, Siccama I, Menko FH, Gille JJP, et al. Distinction between hereditary and sporadic breast cancer on the basis of clinicopathological data. J Clin Pathol 2006;59:611- 617.
23. Hamilton PW, Bartels PH, Montironi R, Anderson N, Thompson D. Improved diagnostic decision making in pathology. Do inference networks hold the key? J Pathol 1995;175:1-5.
24. Price GJ, McCluggage WG, Morrison ML, McClean G, Venkatraman L, Diamond J, et al. Computerised diagnostic decision support system for the classification of preinvasive cervical squamous lesions. Hum Pathol 2003;34:1193-1203.
25. Morrison ML, McCluggage WG, Price GJ, Diamond J, Sheeran MRM, Mulholland KM, et al. Expert system support using a Bayesian belief network for the classification of endometrial hyperplasia. J Pathol 2002;197:403- 414.
26. Diamond J, Anderson NH, Thompson D, Bartels PH, Hamilton PW. A computer-based training system for breast fine needle aspiration cytology. J Pathol 2002;196:113-121.
27. Tiersma ESM, Peters AAW, Mooij HA, Fleuren GJ. Visualising scanning patterns of pathologists in the grading of cervical intraepithelial neoplasia. J Clin Pathol 2003;56:677-680.
28. Krupinski EA, Tillack AA. Richter L, Henderson JT, Bhattacharyya AK, Scott KM, et al. Eye-movement study and human performance using telepathology virtual slides. Implications for medical education and differences with experience. Hum Pathol 2006;37:1543-1556.
29. Treanor D, Magee D, Bulpitt A, Lim C, Quirke P. Tracking with virtual slides: a tool to study diagnostic error in pathology. J Pathol 2008;216(S1):S43.
30. Sauter G, Simon R, Hillan K. Tissue microarrays in drug discovery. Nature Rev Drug Disc 2003;2:962-972.
31. Treanor D, Dattani M, Quirke P, Grabsch H. Systematic random sampling with virtual slides: a new software tool for tissue research. J Pathol 2008;216(S1):S76.
32. van den Tweel J, Taylor CR. Globalization of pathology training and examination: the time to begin is now. Hum Pathol 2002;33:861-862.
33. van den Tweel. J. International examinations and specialist qualifications: a new vision for pathology training. Pathol Int 2004;54:103-109.
34. Rinster MG. Pathology training for the future. Br J Hosp Med 1996;56:384-385.
35. Ratliff NB. International standards for training in pathology. Hum Pathol 2003;34:629-630.
36. Cross SS. Aptitude testing and assessment of training progress in histopathology. Curr Diagn Pathol 2005;11:299-307.
37. Gallagher AG, Ritter EM, Champion H, Higgins G, Fried MP, Moses G, et al. Virtual reality simulation for the operating room: proficiency-based training as a paradigm shift in surgical skills training. Ann Surg 2005;241:364-372.
38. McKenna RW, Davey DD, Johnston RL, Keren D, Madara JL, Weiss SW, et al. Maintenance of certification for pathologists. What we know so far. Am J Clin Pathol 2005;124(Suppl 1):S5-S7.
39. Bennett BD. Certification from the American Board of Pathology: getting it and keeping it. Hum Pathol 2006;37:978-981.
40. Ford JC, Pinder KE, Ovalle WK, Li CH. Pathology education in a multisite urban/rural distributed curriculum. Hum Pathol 2008;39:811-816.
41. Chandler I, Houlston RS. Interobserver agreement in grading of colorectal cancers - findings from a nationwide web-based survey of histopathologists. Histopathology 2008;52:494-499.
42. Stewart J, Bevans-Wilkins K, Bhattacharya A, Ye C, Miyazaki K, Kurtycz DFI. Virtual microscopy: an educator's tool for the enhancement of cytotechnology students' locator skills. Diagn Cytopathol 2008;36:363-368.
43. Stewart J, Miyazaki K, Bevans-Wilkins K, Ye C, Kurtycz DFI, Selvaggi SM. Virtual microscopy for cytology proficiency testing: are we there yet? Cancer 2007;111:203-209.
44. Warren MV, Studley ML, Dubus P, Fiette L, Rozell B, Quintanilla-Martinez L, et al. An impending crisis in the provision of histopathology expertise for mouse functional genomics. J Pathol 2009;217:4-13.
45. Gallagher AG, Ritter EM, Satava RM. Fundamental principles of validation, and reliability: rigorous science for the assessment of surgical education and training. Surg Endosc 2003;10:1525-1529.
46. Van Sickle KR, Smith B, McClusky DA 3rd, Baghai M, Smith CD, Gallagher AG. Evaluation of a tensiometer to provide objective feedback in knot-tying performance. Am Surg 2005;71:1018-1023.
47. Seymour NE, Gallagher AG, Roman SA, O'Brien MK, Bansal VK, Andersen DK, et al. Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann Surg 2002;236:458-463.
48. Ahlberg G, Enochsson L, Gallagher AG, Hedman L, Hogman C, McClusky DA 3rd, et al. Proficiency-based virtual reality training significantly reduces the error rate for residents during their first 10 laparoscopic cholecystectomies. Am J Surg 2007;193:797-804.
49. Gallagher AG, Cates CU. Approval of virtual reality training for carotid stenting: what this means for procedural-based medicine. J Am Med Assoc 2004;292:3024-3026.