Perceptual and Interpretive Error in Diagnostic Radiology—Causes and Potential Solutions
Tài liệu tham khảo
Busby, 2018, Bias in radiology: the how and why of misses and misinterpretations, Radiographics, 38, 236, 10.1148/rg.2018170107
Bruno, 2015, Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction, Radiographics, 35, 1668, 10.1148/rg.2015150023
Béclère, 1964, A physiologic study of vision in fluoroscopic examinations
Chamberlain, 1942, Fluoroscopes and fluoroscopy: Carman Lecture, Radiology, 38, 383, 10.1148/38.4.383
Birkelo, 1947, Tuberculosis case finding; a comparison of the effectiveness of various roentgenographic and photofluorographic methods, J Am Med Assoc, 133, 359, 10.1001/jama.1947.02880060001001
Garland, 1949, On the scientific evaluation of diagnostic procedures, Radiology, 52, 309, 10.1148/52.3.309
Newell, 1954, Descriptive classification of pulmonary shadows; a revelation of unreliability in the roentgenographic diagnosis of tuberculosis, Am Rev Tuberc, 69, 566
Tuddenham, 1961, Visual search patterns in roentgen diagnosis, Radiology, 76, 255, 10.1148/76.2.255
Kundel, 1978, Visual scanning, pattern recognition and decision-making in pulmonary nodule detection, Investig Radiol, 13, 175, 10.1097/00004424-197805000-00001
Kundel, 1989, Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions, Invest Radiol, 24, 472, 10.1097/00004424-198906000-00012
Kundel, 1978, Visual scanning, pattern recognition and decision-making in pulmonary nodule detection, Investig Radiol, 13, 175, 10.1097/00004424-197805000-00001
Donald, 2012, Common patterns in 558 diagnostic radiology errors, J Med Imaging Radiat Oncol, 56, 173, 10.1111/j.1754-9485.2012.02348.x
Kielar, 2011, Introduction of QUIP (quality information program) as a semi-automated quality assessment endeavor allowing retrospective review of errors in cross-sectional abdominal imaging, Acad Radiol, 18, 1358, 10.1016/j.acra.2011.06.012
Mankad, 2009, Radiology errors: are we learning from our mistakes?, Clin Radiol, 64, 988, 10.1016/j.crad.2009.06.002
Graber, 2012, Cognitive interventions to reduce diagnostic error: a narrative review, BMJ Qual Saf, 21, 535, 10.1136/bmjqs-2011-000149
Croskerry, 2003, The importance of cognitive errors in diagnosis and strategies to minimize them, Acad Med, 78, 775, 10.1097/00001888-200308000-00003
Waite, 2017, Interpretive error in radiology, AJR Am J Roentgenol, 208, 739, 10.2214/AJR.16.16963
Mamede, 2008, Effects of reflective practice on the accuracy of medical diagnoses, Med Educ, 42, 468, 10.1111/j.1365-2923.2008.03030.x
Espinosa, 2000, Reducing errors made by emergency physicians in interpreting radiographs: longitudinal study, BMJ, 320, 737, 10.1136/bmj.320.7237.737
Duijm, 2007, Additional double reading of screening mammograms by radiologic technologists: impact on screening performance parameters, J Natl Cancer Inst, 99, 1162, 10.1093/jnci/djm050
Kwek, 2003, Non-consensual double reading in the Singapore Breast Screening Project: benefits and limitations, Ann Acad Med Singapore, 32, 438
Benger, 2003, What is the effect of reporting all emergency department radiographs?, Emerg Med J, 20, 40, 10.1136/emj.20.1.40
Canon, 2003, Double reading of barium enemas: is it necessary?, AJR Am J Roentgenol, 181, 1607, 10.2214/ajr.181.6.1811607
Morgan, 2016, Minimising the impact of errors in the interpretation of CT images for surveillance and evaluation of therapy in cancer, Clin Radiol, 71, 1083, 10.1016/j.crad.2016.07.001
Tudor, 2001, Error review: can this improve reporting performance?, Clin Radiol, 56, 751, 10.1053/crad.2001.0760
Lee, 2013, Cognitive and system factors contributing to diagnostic errors in radiology, AJR Am J Roentgenol, 201, 611, 10.2214/AJR.12.10375
McCreadie, 2009, Eight CT lessons that we learned the hard way: an analysis of current patterns of radiological error and discrepancy with particular emphasis on CT, Clin Radiol, 64, 491, 10.1016/j.crad.2008.12.010
Pinto, 2011, Learning from diagnostic errors: a good way to improve education in radiology, Eur J Radiol, 78, 372, 10.1016/j.ejrad.2010.12.028
Gunderman, 2002, The tyranny of accuracy in radiologic education, Radiology, 222, 297, 10.1148/radiol.2222010586
Schreiber, 1963, The clinical history as a factor in roentgenogram interpretation, JAMA, 185, 399, 10.1001/jama.1963.03060050077027
Doubilet, 1981, Interpretation of radiographs: effect of clinical history, AJR Am J Roentgenol, 137, 1055, 10.2214/ajr.137.5.1055
Littlefair, 2016, Outcomes knowledge may bias radiological decision-making, Acad Radiol, 23, 760, 10.1016/j.acra.2016.01.006
Berbaum, 1988, Influence of clinical history upon detection of nodules and other lesions, Investig Radiol, 23, 48, 10.1097/00004424-198801000-00011
Good, 1990, Does knowledge of the clinical history affect the accuracy of chest radiograph interpretation?, AJR. Am J Roentgenol, 154, 709, 10.2214/ajr.154.4.2107662
Rickett, 1992, The importance of clinical details when reporting accident and emergency radiographs, Injury, 23, 458, 10.1016/0020-1383(92)90063-X
Loy, 2004, Accuracy of diagnostic tests read with and without clinical information: a systematic review, Jama, 292, 1602, 10.1001/jama.292.13.1602
Cohen, 2006, Evaluation of the quality of radiology requisitions for intensive care unit patients, Acad Radiol, 13, 236, 10.1016/j.acra.2005.10.017
Boonn, 2009, Radiologist use of and perceived need for patient data access, J Digit Imaging, 22, 357, 10.1007/s10278-008-9115-2
Ricci, 2007, Fatigue in the U.S. Workforce: prevalence and implications for lost productive work time, J Occup Environ Med, 49, 1, 10.1097/01.jom.0000249782.60321.2a
Mittler, 1988, Catastrophes, sleep, and public policy: consensus report, Sleep, 11
Dinges, 1995, An overview of sleepiness and accidents, J Sleep Res, 4, 4, 10.1111/j.1365-2869.1995.tb00220.x
Leape, 1994, Error in medicine, JAMA, 272, 1851, 10.1001/jama.1994.03520230061039
Kim, 2014, Fool me twice: delayed diagnoses in radiology with emphasis on perpetuated errors, AJR Am J Roentgenol, 202, 465, 10.2214/AJR.13.11493
Krupinski, 2012, Do long radiology workdays affect nodule detection in dynamic CT interpretation?, J Am Coll Radiol, 9, 191, 10.1016/j.jacr.2011.11.013
Krupinski, 2010, Long radiology workdays reduce detection and accommodation accuracy, JACR, 7, 698
Ruutiainen, 2013, Increased error rates in preliminary reports issued by radiology residents working more than 10 consecutive hours overnight, Acad Radiol, 20, 305, 10.1016/j.acra.2012.09.028
Wildman-Tobriner, 2018, Evaluating resident on-call performance: does volume affect discrepancy rate?, Curr Probl Diagn Radiol, 10.1067/j.cpradiol.2017.12.009
Seidel, 2017, The agony of it all: musculoskeletal discomfort in the reading room, J Am Coll Radiol, 14, 1620, 10.1016/j.jacr.2017.07.024
Hanna, 2018, Effect of shift, schedule, and volume on interpretive accuracy: a retrospective analysis of 2.9 million radiologic examinations, Radiology, 287, 205, 10.1148/radiol.2017170555
Balci, 2003, The effect of work-rest schedules and type of task on the discomfort and performance of VDT users, Ergonomics, 46, 455, 10.1080/0014013021000047557
Hoffmann, 2016, Combating the health risks of sedentary behavior in the contemporary radiology reading room, Am J Roentgenol, 206, 1135, 10.2214/AJR.15.15496
Hedge A.R.E. Effects of an electronic height-adjustable worksurface on computer worker musculoskeletal discomfort and productivity. 2002; 1-5.
Harisinghani, 2004, Importance and effects of altered workplace ergonomics in modern radiology suites, Radiographics, 24, 615, 10.1148/rg.242035089
Horii, 1989, Environmental designs for reading from imaging work stations: ergonomic and architectural features, J Digit Imaging, 2, 156, 10.1007/BF03168035
Fratt, 2005, Redesigning the reading room, Health Imaging, 1
Siegel, 2006, Digital mammography image quality: image display, J Am Coll Radiol, 3, 615, 10.1016/j.jacr.2006.03.007
Reiner, 1999
Norweck, 2012, ACR–AAPM–SIIM technical standard for electronic practice of medical imaging, J Digital Imaging, 26, 38, 10.1007/s10278-012-9522-2
Samei, 2005, Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report, Med Phys, 32, 1205, 10.1118/1.1861159
Chawla, 2007, Ambient illumination revisited: a new adaptation-based approach for optimizing medical imaging reading environments, Med Phys, 34, 81, 10.1118/1.2402583
Sze, 2017, Work-related injuries of radiologists and possible ergonomic solutions: recommendations from the ACR commission on human resources, J Am Coll Radiol, 14, 1353, 10.1016/j.jacr.2017.06.021
Siddiqui, 2006, Design and ergonomic considerations for the filmless environment, J Am Coll Radiol, 3, 456, 10.1016/j.jacr.2006.02.024
Brennan, 2007, Ambient lighting: effect of illumination on soft-copy viewing of radiographs of the wrist, Am J Roentgenol, 188, W177, 10.2214/AJR.05.2048
Chawla, 2006, Ambient illumination revisited: a new adaptation-based approach for optimizing medical imaging reading environments, Med Phys, 34, 81, 10.1118/1.2402583
Chawla, 2006, A method for reduction of eye fatigue by optimizing the ambient light conditions in radiology reading rooms, 6145
2017
Burgess-Limerick, 1998, The effect of imposed and self-selected computer monitor height on posture and gaze angle, Clin Biomech (Bristol, Avon), 13, 584, 10.1016/S0268-0033(98)00021-7
Matos, 2015, Ergonomic evaluation of office workplaces with Rapid Office Strain Assessment (ROSA), Procedia Manuf, 3, 4689, 10.1016/j.promfg.2015.07.562
Robertson, 2012, Examination of computer task exposures in radiologists: a work systems approach, Work (Reading, Mass.), 41, 1818
Ruess, 2003, Carpal tunnel syndrome and cubital tunnel syndrome: work-related musculoskeletal disorders in four symptomatic radiologists, AJR. Am J Roentgenol, 181, 37, 10.2214/ajr.181.1.1810037
Tanabe, 2007, Indoor temperature, productivity, and fatigue in office tasks, HVAC Res, 13, 623, 10.1080/10789669.2007.10390975
Prabhu, 2005, Ergonomics of digital imaging, Br J Radiol, 78, 582, 10.1259/bjr/51650129
Lang, 2004, Study links warm offices to fewer typing errors and higher productivity, Cornell Chronicle
García-Lallana, 2011, Ergonomics of the workplace in radiology, Radiología (English Edition), 53, 507, 10.1016/j.rxeng.2011.06.002
Zwemer, 2009, Effect of ambient sound masking on the accuracy of computerized speech recognition, Radiology, 252, 691, 10.1148/radiol.2531081080
Boiselle, 2008, Repetitive stress symptoms in radiology: prevalence and response to ergonomic interventions, J Am Coll Radiol, 5, 919, 10.1016/j.jacr.2008.01.014
Rodrigues, 2013, Musculoskeletal symptoms amongst clinical radiologists and the implications of reporting environment ergonomics—a multicentre questionnaire study, J Digit Imaging, 27, 255, 10.1007/s10278-013-9642-3
Thompson, 2014, Factors associated with repetitive strain, and strategies to reduce injury among breast-imaging radiologists, J Am Coll Radiol, 11, 1074, 10.1016/j.jacr.2014.07.009
Yu, 2014, The radiologist's workflow environment: evaluation of disruptors and potential implications, J Am Coll Radiol, 11, 589, 10.1016/j.jacr.2013.12.026
Balint, 2014, Do telephone call interruptions have an impact on radiology resident diagnostic accuracy?, Acad Radiol, 21, 1623, 10.1016/j.acra.2014.08.001
Lee, 2017, Radiology workflow dynamics: how workflow patterns impact radiologist perceptions of workplace satisfaction, Acad Radiol, 24, 483, 10.1016/j.acra.2016.08.027
Abujudeh, 2010, Abdominal and pelvic computed tomography (CT) interpretation: discrepancy rates among experienced radiologists, Eur Radiol, 20, 1952, 10.1007/s00330-010-1763-1
Borgstede, 2004, RADPEER quality assurance program: a multifacility study of interpretive disagreement rates, J Am Coll Radiol, 1, 59, 10.1016/S1546-1440(03)00002-4
Berlin, 1994, Reporting the “missed” radiologic diagnosis: medicolegal and ethical considerations, Radiology, 192, 183, 10.1148/radiology.192.1.8208934
Berlin, 1996, Malpractice issues in radiology. Perceptual errors, AJR Am J Roentgenol, 167, 587, 10.2214/ajr.167.3.8751657
Pinto, 2010, Spectrum of diagnostic errors in radiology, World J Radiol, 2, 377, 10.4329/wjr.v2.i10.377
Halsted, 2004, Diagnostic errors by radiology residents in interpreting pediatric radiographs in an emergency setting, Pediatr Radiol, 34, 331, 10.1007/s00247-004-1150-7
Owens, 2016, Perceptual type error in everyday practice, Clin Radiol, 71, 593, 10.1016/j.crad.2015.11.024
Larson, 2017, Peer feedback, learning, and improvement: answering the call of the institute of medicine report on diagnostic error, Radiology, 283, 231, 10.1148/radiol.2016161254
Brook, 2015, The complementary nature of peer review and quality assurance data collection, Radiology, 274, 221, 10.1148/radiol.14132931
Eisenberg, 2016, Peer review: a better way, Acad Radiol, 23, 1071, 10.1016/j.acra.2016.06.008
Brady, 2017, Error and discrepancy in radiology: inevitable or avoidable?, Insights Imaging, 8, 171, 10.1007/s13244-016-0534-1
Kruskal, 2016, Transitioning from peer review to peer learning for abdominal radiologists, Abdom Radiol (NY), 41, 416, 10.1007/s00261-016-0675-1
2014, Standards for Learning from Discrepancies meetings, The Royal College of Radiologists
Ganeshan, 2018, Structured reporting in radiology, Acad Radiol, 25, 66, 10.1016/j.acra.2017.08.005
Quattrocchi, 2013, Extra-spinal incidental findings at lumbar spine MRI in the general population: a large cohort study, Insights Imaging, 4, 301, 10.1007/s13244-013-0234-z
Powell, 2015, State of structured reporting in radiology, a survey, Acad Radiol, 22, 226, 10.1016/j.acra.2014.08.014
Auffermann, 2018, Search pattern training for evaluation of central venous catheter positioning on chest radiographs, J Med Imaging (Bellingham), 5
Auffermann, 2016, Teaching search patterns to medical trainees in an educational laboratory to improve perception of pulmonary nodules, J Med Imaging, 3
Auffermann, 2015, Simulation for teaching and assessment of nodule perception on chest radiography in nonradiology health care trainees, J Am Coll Radiol, 12, 1215, 10.1016/j.jacr.2015.07.014
Erickson, 2017, Machine learning for medical imaging, Radiographics, 37, 505, 10.1148/rg.2017160130
Chartrand, 2017, Deep learning: a primer for radiologists, RadioGraphics, 37, 2113, 10.1148/rg.2017170077
Goodfellow, 2016
Armato, 2011, The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans, Medical physics, 38, 915, 10.1118/1.3528204
Dou, 2017, Multilevel contextual 3-D CNNs for false positive reduction in pulmonary nodule detection, IEEE Trans Biomed Eng, 64, 1558, 10.1109/TBME.2016.2613502
Jalalian, 2017, Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection, Excli j, 16
Zaharchuk, 2018, Deep Learning in Neuroradiology, AJNR Am J Neuroradiol., 39, 1776, 10.3174/ajnr.A5543
Yasaka, 2018, Deep learning with convolutional neural network for differentiation of liver masses at dynamic contrast-enhanced CT: a preliminary study, Radiology, 286, 887, 10.1148/radiol.2017170706
Borowiec, 2016, AlphaGo seals 4-1 victory over Go grandmaster Lee Sedol, The Guardian
Wood, 2016, In Two Moves, Alphago and Lee Sedol Redefined the Future, Wired
Hong, 2015, Online tracking by learning discriminative saliency map with convolutional neural network
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