Diagnostic Errors in Cerebrovascular Pathology: Retrospective Analysis of a Neuroradiology Database at a Large Tertiary Academic Medical Center

References

1. 1.↵
   1. Itri JN,
   2. Tappouni RR,
   3. McEachern RO, et al

   . Fundamentals of diagnostic error in imaging. Radiographics 2018;38:1845–65 doi:10.1148/rg.2018180021 pmid:30303801

   CrossRefPubMed
2. 2.↵
   1. Balogh EP,
   2. Miller BT,
   3. Ball JR

   , eds; Committee on Diagnostic Error in Health Care, Board on Health Care Services, Institute of Medicine, and National Academies of Sciences, Engineering, and Medicine. Improving Diagnosis in Health Care. National Academies Press (US) 2015
3. 3.↵
   1. Kohn LT,
   2. Corrigan JM,
   3. Donaldson MS

   , eds; Institute of Medicine Committee on Quality of Health Care in America. To Err is Human: Building a Safer Health System. National Academies Press (US) 2000
4. 4.↵
   1. Singh H,
   2. Meyer AN,
   3. Thomas EJ

   . The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations. BMJ Qual Saf 2014;23:727–31 doi:10.1136/bmjqs-2013-002627 pmid:24742777

   Abstract/FREE Full Text
5. 5.↵
   1. Waite S,
   2. Scott J,
   3. Gale B, et al

   . Interpretive error in radiology. AJR Am J Roentgenol 2017;208:739–49 doi:10.2214/AJR.16.16963 pmid:28026210

   CrossRefPubMed
6. 6.↵
   1. Itri JN,
   2. Patel SH

   . Heuristics and cognitive error in medical imaging. AJR Am J Roentgenol 2018;210:1097–1105 doi:10.2214/AJR.17.18907 pmid:29528716

   CrossRefPubMed
7. 7.↵
   1. Berlin L

   . Radiologic errors, past, present and future. Diagnosis (Berl) 2014;1:79–84 doi:10.1515/dx-2013-0012 pmid:29539959

   CrossRefPubMed
8. 8.↵
   1. Busby LP,
   2. Courtier JL,
   3. Glastonbury CM

   . Bias in radiology: the how and why of misses and misinterpretations. Radiographics 2018;38:236–47 doi:10.1148/rg.2018170107 pmid:29194009

   CrossRefPubMed
9. 9.↵
   1. Hanna TN,
   2. Lamoureux C,
   3. Krupinski EA, et al

   . Effect of shift, schedule, and volume on interpretive accuracy: a retrospective analysis of 2.9 million radiologic examinations. Radiology 2018;287:205–12 doi:10.1148/radiol.2017170555 pmid:29156150

   CrossRefPubMed
10. 10.↵
    1. Donald JJ,
    2. Barnard SA

    . Common patterns in 558 diagnostic radiology errors. J Med Imaging Radiat Oncol 2012;56:173–78 doi:10.1111/j.1754-9485.2012.02348.x pmid:22498190

    CrossRefPubMed
11. 11.↵
    1. Kim YW,
    2. Mansfield LT

    . Fool me twice: delayed diagnoses in radiology with emphasis on perpetuated errors. AJR Am J Roentgenol 2014;202:465–70 doi:10.2214/AJR.13.11493 pmid:24555582

    CrossRefPubMed
12. 12.
    1. Wu MZ,
    2. McInnes MD,
    3. Macdonald DB, et al

    . CT in adults: systematic review and meta-analysis of interpretation discrepancy rates. Radiology 2014;270:717–35 doi:10.1148/radiol.13131114 pmid:24475832

    CrossRefPubMed
13. 13.
    1. Babiarz LS,
    2. Yousem DM

    . Quality control in neuroradiology: discrepancies in image interpretation among academic neuroradiologists. AJNR Am J Neuroradiol 2012;33:37–42 doi:10.3174/ajnr.A2704 pmid:22033725

    Abstract/FREE Full Text
14. 14.
    1. Soffa DJ,
    2. Lewis RS,
    3. Sunshine JH, et al

    . Disagreement in interpretation: a method for the development of benchmarks for quality assurance in imaging. J Am Coll Radiol 2004;1:212–17 doi:10.1016/j.jacr.2003.12.017 pmid:17411562

    CrossRefPubMed
15. 15.
    1. Borgstede JP,
    2. Lewis RS,
    3. Bhargavan M, et al

    . RADPEER quality assurance program: a multifacility study of interpretive disagreement rates. J Am Coll Radiol 2004;1:59–65 doi:10.1016/S1546-1440(03)00002-4 pmid:17411521

    CrossRefPubMed
16. 16.
    1. Viertel VG,
    2. Babiarz LS,
    3. Carone M, et al

    . Quality control in neuroradiology: impact of trainees on discrepancy rates. AJNR Am J Neuroradiol 2012;33:1032–36 doi:10.3174/ajnr.A2933 pmid:22300933

    Abstract/FREE Full Text
17. 17.↵
    1. Lian K,
    2. Bharatha A,
    3. Aviv RI, et al

    . Interpretation errors in CT angiography of the head and neck and the benefit of double reading. AJNR Am J Neuroradiol 2011;32:2132–35 doi:10.3174/ajnr.A2678 pmid:21903915

    Abstract/FREE Full Text
18. 18.↵
    1. Bahrami S,
    2. Yim CM

    . Quality initiatives: blind spots at brain imaging. Radiographics 2009;29:1877–96 doi:10.1148/rg.297095123 pmid:19734470

    CrossRefPubMed
19. 19.↵
    1. Rennert RC,
    2. Wali AR,
    3. Steinberg JA, et al

    . Epidemiology, natural history, and clinical presentation of large vessel ischemic stroke. Neurosurgery 2019;85:S4–S8 doi:10.1093/neuros/nyz042 pmid:31197329

    CrossRefPubMed
20. 20.↵
    1. Abujudeh H,
    2. Pyatt RS Jr.,
    3. Bruno MA, et al

    . RADPEER peer review: relevance, use, concerns, challenges, and direction forward. J Am Coll Radiol 2014;11:899–904 doi:10.1016/j.jacr.2014.02.004 pmid:24842585

    CrossRefPubMed
21. 21.↵
    1. Goldberg-Stein S,
    2. Frigini LA,
    3. Long S, et al

    . ACR RADPEER Committee White Paper with 2016 Updates: Revised Scoring System, New Classifications, Self-Review, and Subspecialized Reports. J Am Coll Radiol 2017;14:1080–86 doi:10.1016/j.jacr.2017.03.023 pmid:28551339

    CrossRefPubMed
22. 22.↵
    1. Makary MA,
    2. Daniel M

    . Medical error-the third leading cause of death in the US. BMJ 2016;353:i2139 doi:10.1136/bmj.i2139 pmid:27143499

    FREE Full Text
23. 23.↵
    1. Sabih DE,
    2. Sabih A,
    3. Sabih Q, et al

    . Image perception and interpretation of abnormalities; can we believe our eyes? Can we do something about it? Insights Imaging 2011;2:47–55 doi:10.1007/s13244-010-0048-1 pmid:22347933

    CrossRefPubMed
24. 24.↵
    1. Bruno MA,
    2. Walker EA,
    3. Abujudeh HH

    . Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction. Radiographics 2015;35:1668–76 doi:10.1148/rg.2015150023 pmid:26466178

    CrossRefPubMed
25. 25.↵
    1. Patel SH,
    2. Stanton CL,
    3. Miller SG, et al

    . Risk factors for perceptual-versus-interpretative errors in diagnostic neuroradiology. AJNR Am J Neuroradiol 2019;40:1252–56 doi:10.3174/ajnr.A6125 pmid:31296527

    Abstract/FREE Full Text
26. 26.↵
    1. Renfrew DL,
    2. Franken EA Jr.,
    3. Berbaum KS, et al

    . Error in radiology: classification and lessons in 182 cases presented at a problem case conference. Radiology 1992;183:145–50 doi:10.1148/radiology.183.1.1549661 pmid:1549661

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Waite S,
    2. Farooq Z,
    3. Grigorian A, et al

    . A review of perceptual expertise in radiology: how it develops, how we can test it, and why humans still matter in the era of artificial intelligence. Acad Radiol 2020;27:26–38 doi:10.1016/j.acra.2019.08.018 pmid:31818384

    CrossRefPubMed
28. 28.↵
    1. Malhotra K,
    2. Gornbein J,
    3. Saver JL

    . Ischemic strokes due to large-vessel occlusions contribute disproportionately to stroke-related dependence and death: a review. Front Neurol 2017;8:651 doi:10.3389/fneur.2017.00651 pmid:29250029

    CrossRefPubMed
29. 29.↵
    1. Juvela S,
    2. Porras M,
    3. Poussa K

    . Natural history of unruptured intracranial aneurysms: probability of and risk factors for aneurysm rupture. J Neurosurg 2000;93:379–87 doi:10.3171/jns.2000.93.3.0379 pmid:10969934

    CrossRefPubMedWeb of Science
30. 30.↵
    1. Juvela S,
    2. Poussa K,
    3. Lehto H, et al

    . Natural history of unruptured intracranial aneurysms: a long-term follow-up study. Stroke 2013;44:2414–21 doi:10.1161/STROKEAHA.113.001838 pmid:23868274

    Abstract/FREE Full Text
31. 31.↵
    1. Vlak MH,
    2. Algra A,
    3. Brandenburg R, et al

    . Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis. Lancet Neurol 2011;10:626–36 doi:10.1016/S1474-4422(11)70109-0 pmid:21641282

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Li MH,
    2. Chen SW,
    3. Li YD, et al

    . Prevalence of unruptured cerebral aneurysms in Chinese adults aged 35 to 75 years: a cross-sectional study. Ann Intern Med 2013;159:514–21 doi:10.7326/0003-4819-159-8-201310150-00004 pmid:24126645

    CrossRefPubMed
33. 33.↵
    1. Greving JP,
    2. Wermer MJ,
    3. Brown RD, Jr., et al

    . Development of the PHASES score for prediction of risk of rupture of intracranial aneurysms: a pooled analysis of six prospective cohort studies. Lancet Neurol 2014;13:59–66 doi:10.1016/S1474-4422(13)70263-1 pmid:24290159

    CrossRefPubMed
34. 34.
    1. Backes D,
    2. Rinkel GJ,
    3. Greving JP, et al

    . ELAPSS score for prediction of risk of growth of unruptured intracranial aneurysms. Neurology 2017;88:1600–06 doi:10.1212/WNL.0000000000003865 pmid:28363976

    CrossRefPubMed
35. 35.↵
    1. Etminan N,
    2. Brown RD Jr.,
    3. Beseoglu K, et al

    . The unruptured intracranial aneurysm treatment score: a multidisciplinary consensus. Neurology 2015;85:881–89 doi:10.1212/WNL.0000000000001891 pmid:26276380

    CrossRefPubMed
36. 36.↵
    1. Korja M,
    2. Kivisaari R,
    3. Rezai Jahromi B, et al

    . Natural history of ruptured but untreated intracranial aneurysms. Stroke 2017;48:1081–84 doi:10.1161/STROKEAHA.116.015933 pmid:28250196

    Abstract/FREE Full Text
37. 37.↵
    1. Haselsberger K,
    2. Pucher R,
    3. Auer LM

    . Prognosis after acute subdural or epidural haemorrhage. Acta Neurochir (Wien) 1988;90:111–16 doi:10.1007/BF01560563 pmid:3354356

    CrossRefPubMedWeb of Science
38. 38.↵
    1. Bullock MR,
    2. Chesnut R,
    3. Ghajar J, et al

    . Surgical management of acute subdural hematomas. Neurosurgery 2006;58:S2-16–24 doi:10.1227/01.NEU.0000210364.29290.C9 pmid:16710968

    CrossRefPubMed
39. 39.↵
    1. Vega RA,
    2. Valadka AB

    . Natural history of acute subdural hematoma. Neurosurg Clin N Am 2017;28:247–55 doi:10.1016/j.nec.2016.11.007 pmid:28325459

    CrossRefPubMed
40. 40.↵
    1. Ryan CG,
    2. Thompson RE,
    3. Temkin NR, et al

    . Acute traumatic subdural hematoma: current mortality and functional outcomes in adult patients at a level I trauma center. J Trauma Acute Care Surg 2012;73:1348–54 doi:10.1097/TA.0b013e31826fcb30 pmid:23117390

    CrossRefPubMed
41. 41.↵
    1. Tian HL,
    2. Chen SW,
    3. Xu T, et al

    . Risk factors related to hospital mortality in patients with isolated traumatic acute subdural haematoma: analysis of 308 patients undergone surgery. Chin Med J (Engl) 2008;121:1080–84 pmid:18706221

    CrossRefPubMed
42. 42.↵
    1. Tallon JM,
    2. Ackroyd-Stolarz S,
    3. Karim SA, et al

    . The epidemiology of surgically treated acute subdural and epidural hematomas in patients with head injuries: a population-based study. Can J Surg 2008;51:339–45 pmid:18841222

    PubMed
43. 43.↵
    1. Pu Y,
    2. Dou X,
    3. Liu L

    . Natural history of intracranial atherosclerotic disease. Front Neurol 2014;5:125 doi:10.3389/fneur.2014.00125 pmid:25071710

    CrossRefPubMed
44. 44.↵
    1. Wong KS,
    2. Li H

    . Long-term mortality and recurrent stroke risk among Chinese stroke patients with predominant intracranial atherosclerosis. Stroke 2003;34:2361–66 doi:10.1161/01.STR.0000089017.90037.7A pmid:12947158

    Abstract/FREE Full Text
45. 45.↵
    1. Kern R,
    2. Steinke W,
    3. Daffertshofer M, et al

    . Stroke recurrences in patients with symptomatic vs asymptomatic middle cerebral artery disease. Neurology 2005;65:859–64 doi:10.1212/01.wnl.0000175983.76110.59 pmid:16186524

    Abstract/FREE Full Text
46. 46.↵
    1. Ropper AH,
    2. Klein JP

    . Cerebral venous thrombosis. N Engl J Med 2021;385:59–64 doi:10.1056/NEJMra2106545 pmid:34192432

    CrossRefPubMed
47. 47.↵
    1. Idiculla PS,
    2. Gurala D,
    3. Palanisamy M, et al

    . Cerebral venous thrombosis: a comprehensive review. Eur Neurol 2020;83:369–79 doi:10.1159/000509802 pmid:32877892

    CrossRefPubMed
48. 48.↵
    1. Dentali F,
    2. Gianni M,
    3. Crowther MA, et al

    . Natural history of cerebral vein thrombosis: a systematic review. Blood 2006;108:1129–34 doi:10.1182/blood-2005-12-4795 pmid:16609071

    Abstract/FREE Full Text
49. 49.↵
    1. Schwartz NE,
    2. Vertinsky AT,
    3. Hirsch KG, et al

    . Clinical and radiographic natural history of cervical artery dissections. J Stroke Cerebrovasc Dis 2009;18:416–23 doi:10.1016/j.jstrokecerebrovasdis.2008.11.016 pmid:19900642

    CrossRefPubMedWeb of Science
50. 50.↵
    1. Beletsky V,
    2. Nadareishvili Z,
    3. Lynch J, et al

    ; Canadian Stroke Consortium. Cervical arterial dissection: time for a therapeutic trial? Stroke 2003;34:2856–60 doi:10.1161/01.STR.0000098649.39767.BC pmid:14605328

    Abstract/FREE Full Text
51. 51.↵
    1. Touzé E,
    2. Gauvrit JY,
    3. Moulin T, et al

    ; Multicenter Survey on Natural History of Cervical Artery Dissection. Risk of stroke and recurrent dissection after a cervical artery dissection: a multicenter study. Neurology 2003;61:1347–51 doi:10.1212/01.wnl.0000094325.95097.86 pmid:14638953

    Abstract/FREE Full Text
52. 52.↵
    1. Schievink WI,
    2. Mokri B,
    3. O’Fallon WM

    . Recurrent spontaneous cervical-artery dissection. N Engl J Med 1994;330:393–97 doi:10.1056/NEJM199402103300604 pmid:8284004

    CrossRefPubMedWeb of Science
53. 53.↵
    1. Garland LH

    . On the scientific evaluation of diagnostic procedures. Radiology 1949;52:309–28 doi:10.1148/52.3.309 pmid:18113241

    CrossRefPubMedWeb of Science
54. 54.↵
    1. Onega T,
    2. Aiello Bowles EJ,
    3. Miglioretti DL, et al

    . Radiologists’ perceptions of computer aided detection versus double reading for mammography interpretation. Acad Radiol 2010;17:1217–26 doi:10.1016/j.acra.2010.05.007 pmid:20832024

    CrossRefPubMed
55. 55.↵
    1. Ivanovic V,
    2. Assadsangabi R,
    3. Hacein-Bey L, et al

    . Neuroradiology diagnostic errors at a tertiary academic centre: effect of participation in tumour boards and physician experience. Clin Radiol 2022 May 16. [Epub ahead of print] doi:10.1016/j.crad.2022.04.006 pmid:35589432

    CrossRefPubMed