Literature DB >> 18078909

Comparison of on-call radiology resident and faculty interpretation of 4- and 16-row multidetector CT pulmonary angiography with indirect CT venography.

Stephanie L Rufener1, Smita Patel, Ella A Kazerooni, Matthew Schipper, Aine M Kelly.   

Abstract

RATIONALE AND
OBJECTIVES: On-call radiology residents frequently interpret computed tomography (CT) pulmonary angiography and CT venography studies outside of routine working hours. The purpose of this study was to compare resident and faculty interpretation concordance rates and to see if concordance rates differed depending on the number of CT detectors used.
MATERIALS AND METHODS: The study population included 122 consecutive CT pulmonary angiography (CTPA) and CT venography (CTV) examinations performed on a four-row multidetector CT (MDCT) and 125 consecutive CTPA examinations performed using a 16-row MDCT scanner with CTV performed in 124 patients. Preliminary resident reports and final faculty reports were compared. Discrepant cases were independently reviewed by three cardiothoracic radiologists who were unaware of the initial interpretations. Interpretation concordance rates were calculated for both 4- and 16- row MDCT studies and compared using Fisher's exact test.
RESULTS: Resident and faculty CTPA and CTV interpretations were concordant in 80% of the 4-row cases and 94% of the 16-row cases. When comparing resident interpretation to the final expert reference standard, the corrected resident error rate was 11% and 2% for 4-row CTPA and CTV, respectively and 4% and 2% for 16-row CTPA and CTV, respectively. Overall CTPA and CTV concordance was significantly lower for 4-row MDCT (80% versus 94%, P < .001 [two-sided] by Fisher's exact test).
CONCLUSIONS: Radiology resident interpretation of CTPA and CTV studies demonstrates a high level of agreement with radiology faculty interpretation. Concordance rates are significantly higher for 16-row MDCT than 4-row MDCT which may be due to improved image quality.

Entities:  

Mesh:

Year:  2008        PMID: 18078909     DOI: 10.1016/j.acra.2007.06.030

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  Should lung scan be abandoned for pulmonary embolism diagnosis in the age of multislice spiral CT? Yes.

Authors:  Edwin J R van Beek
Journal:  Intern Emerg Med       Date:  2009-04-18       Impact factor: 3.397

2.  Interobserver Agreement between On-Call Radiology Resident and General Radiologist Interpretations of CT Pulmonary Angiograms and CT Venograms.

Authors:  Bahar Tamjeedi; José Correa; Alexandre Semionov; Benoît Mesurolle
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

3.  Radiologist-initiated double reading of abdominal CT: retrospective analysis of the clinical importance of changes to radiology reports.

Authors:  Peter Mæhre Lauritzen; Jack Gunnar Andersen; Mali Victoria Stokke; Anne Lise Tennstrand; Rolf Aamodt; Thomas Heggelund; Fredrik A Dahl; Gunnar Sandbæk; Petter Hurlen; Pål Gulbrandsen
Journal:  BMJ Qual Saf       Date:  2016-03-24       Impact factor: 7.035

4.  PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.

Authors:  Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Chris Chute; Robyn L Ball; Norah Borus; Andrew Huang; Bhavik N Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; Katie Shpanskaya; Abhay Dhaliwal; Roham Zamanian; Andrew Y Ng; Matthew P Lungren
Journal:  NPJ Digit Med       Date:  2020-04-24

5.  Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis.

Authors:  Shelly Soffer; Eyal Klang; Orit Shimon; Yiftach Barash; Noa Cahan; Hayit Greenspana; Eli Konen
Journal:  Sci Rep       Date:  2021-08-04       Impact factor: 4.379

  5 in total

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