Literature DB >> 19348844

Eight CT lessons that we learned the hard way: an analysis of current patterns of radiological error and discrepancy with particular emphasis on CT.

G McCreadie1, T B Oliver.   

Abstract

AIM: To review cases discussed at a radiology departmental errors and discrepancies meeting, classify these to determine common patterns of error, and, focussing on CT, present a small number of specific errors that occur commonly.
MATERIALS AND METHODS: All cases discussed at our departmental discrepancies and complications meeting over a 30 month period were reviewed. Those where a genuine error was agreed to have arisen were classified by error type: poor image interpretation (false positive, false negative, misclassification); technical error (poor technique or procedural complication); and communications error. The imaging method from which the error arose was also recorded. Specific recurring errors were identified and collated.
RESULTS: Two hundred and fifty-six errors were identified in 222 patients. Two hundred and twenty-five errors (88%) were due to poor image interpretation (14 false positive, 155 false negative, 56 misclassification). Seven errors (3%) were technical and 24 errors (9%) were due to poor communication. One hundred and fifty-nine (62%) of the 256 errors arose in relation to CT, 31 (12%) to ultrasound, 29 (11%) to magnetic resonance imaging (MRI), 24 (9%) to radiography, and 13 (5%) to fluoroscopy examinations, three (1.2%) of which involved vascular intervention. Several repeating errors arising during CT reporting were identified.
CONCLUSIONS: Error is commonly identified in relation to radiological examinations. Most errors involve image interpretation, but a significant proportion result from departmental miscommunication. The majority of errors are false-negative interpretations and occur during interpretation of CT examinations. Recurring false-negative CT errors include failure to appreciate unexpected bowel or pancreatic malignancy, incidental pulmonary emboli, abnormality of vascular structures, bone lesions, omental disease, incidental abnormality present on targeted examinations or lesions on the periphery of the field of view.

Entities:  

Mesh:

Year:  2009        PMID: 19348844     DOI: 10.1016/j.crad.2008.12.010

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  11 in total

1.  A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning.

Authors:  Naji Khosravan; Haydar Celik; Baris Turkbey; Elizabeth C Jones; Bradford Wood; Ulas Bagci
Journal:  Med Image Anal       Date:  2018-10-28       Impact factor: 8.545

2.  Effect of diagnostic predictions combined with clinical information on avoiding perceptual errors of computed tomography.

Authors:  Shingo Suzuki; Masatomi Ikusaka; Yoshiyuki Ohira; Masahito Miyahara; Kazutaka Noda; Hideki Kajiwara; Kiyoshi Shikino; Takeshi Kondo
Journal:  Jpn J Radiol       Date:  2013-09-14       Impact factor: 2.374

Review 3.  Errors in multidetector row computed tomography.

Authors:  M A Mazzei; L Volterrani
Journal:  Radiol Med       Date:  2015-06-25       Impact factor: 3.469

Review 4.  Errors and malpractice lawsuits in radiology: what the radiologist needs to know.

Authors:  Francesco Paolo Busardò; Paola Frati; Alessandro Santurro; Simona Zaami; Vittorio Fineschi
Journal:  Radiol Med       Date:  2015-06-27       Impact factor: 3.469

Review 5.  Errors in MDCT diagnosis of acute mesenteric ischemia.

Authors:  Antonio Pinto; Monica Marina Lanzetta; Gloria Addeo; Maria Cristina Bonini; Giulia Grazzini; Vittorio Miele
Journal:  Abdom Radiol (NY)       Date:  2020-09-11

Review 6.  Postmortem imaging of sudden cardiac death.

Authors:  Katarzyna Michaud; Silke Grabherr; Christian Jackowski; Marc Daniel Bollmann; Franceso Doenz; Patrice Mangin
Journal:  Int J Legal Med       Date:  2013-01-16       Impact factor: 2.686

Review 7.  How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.

Authors:  A van der Gijp; C J Ravesloot; H Jarodzka; M F van der Schaaf; I C van der Schaaf; J P J van Schaik; Th J Ten Cate
Journal:  Adv Health Sci Educ Theory Pract       Date:  2016-07-19       Impact factor: 3.853

8.  18-Fluorodeoxy-Glucose Positron Emission Tomography- Computed Tomography (18-FDG-PET/CT) for Gross Tumor Volume (GTV) Delineation in Gastric Cancer Radiotherapy

Authors:  Kinga Dębiec; Jerzy Wydmański; Izabela Gorczewska; Paulina Leszczyńska; Kamil Gorczewski; Wojciech Leszczyński; Andrea d’Amico; Michał Kalemba
Journal:  Asian Pac J Cancer Prev       Date:  2017-11-26

9.  Structured reporting of computed tomography in the staging of colon cancer: a Delphi consensus proposal.

Authors:  Vincenza Granata; Lorenzo Faggioni; Roberta Grassi; Roberta Fusco; Alfonso Reginelli; Daniela Rega; Nicola Maggialetti; Duccio Buccicardi; Barbara Frittoli; Marco Rengo; Chandra Bortolotto; Roberto Prost; Giorgia Viola Lacasella; Marco Montella; Eleonora Ciaghi; Francesco Bellifemine; Federica De Muzio; Giulia Grazzini; Massimo De Filippo; Salvatore Cappabianca; Andrea Laghi; Roberto Grassi; Luca Brunese; Emanuele Neri; Vittorio Miele; Francesca Coppola
Journal:  Radiol Med       Date:  2021-11-06       Impact factor: 3.469

10.  The Back Alleys and Dark Corners of Abdomen and Pelvis Computed Tomography: The Most Frequent Sites of Missed Findings in the Multiplanar Era.

Authors:  Mark A Kliewer; Mikala R Brinkman; J Louis Hinshaw
Journal:  J Clin Imaging Sci       Date:  2020-11-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.