Literature DB >> 31073815

Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography.

Chuan Zhou1, Heang-Ping Chan2, Aamer Chughtai2, Smita Patel2, Jean Kuriakose2, Lubomir M Hadjiiski2, Jun Wei2, Ella A Kazerooni2.   

Abstract

Annotating lesion locations by radiologists' manual marking is a key step to provide reference standard for the training and testing of a computer-aided detection system by supervised machine learning. Inter-reader variability is not uncommon in readings even by expert radiologists. This study evaluated the variability of the radiologist-identified pulmonary emboli (PEs) to demonstrate the importance of improving the reliability of the reference standard by a multi-step process for performance evaluation. In an initial reading of 40 CTPA PE cases, two experienced thoracic radiologists independently marked the PE locations. For markings from the two radiologists that did not agree, each radiologist re-read the cases independently to assess the discordant markings. Finally, for markings that still disagreed after the second reading, the two radiologists read together to reach a consensus. The variability of radiologists was evaluated by analyzing the agreement between two radiologists. For the 40 cases, 475 and 514 PEs were identified by radiologists R1 and R2 in the initial independent readings, respectively. For a total of 545 marks by the two radiologists, 81.5% (444/545) of the marks agreed but 101 marks in 36 cases differed. After consensus, 65 (64.4%) and 36 (35.6%) of the 101 marks were determined to be true PEs and false positives (FPs), respectively. Of these, 48 and 17 were false negatives (FNs) and 14 and 22 were FPs by R1 and R2, respectively. Our study demonstrated that there is substantial variability in reference standards provided by radiologists, which impacts the performance assessment of a lesion detection system. Combination of multiple radiologists' readings and consensus is needed to improve the reliability of a reference standard.

Entities:  

Keywords:  Computed tomographic pulmonary angiography (CTPA); Computer-aided detection; Pulmonary embolism; Reader variability; Reference standard

Mesh:

Year:  2019        PMID: 31073815      PMCID: PMC6841909          DOI: 10.1007/s10278-019-00228-w

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  44 in total

1.  1999 plenary session: Friday imaging symposium : CT diagnosis of pulmonary embolism and deep venous thrombosis.

Authors:  L R Goodman
Journal:  Radiographics       Date:  2000 Jul-Aug       Impact factor: 5.333

2.  Diagnosis and management of subsegmental pulmonary embolism.

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Journal:  J Thromb Haemost       Date:  2006-04       Impact factor: 5.824

Review 3.  Computer-aided diagnosis and the evaluation of lung disease.

Authors:  Jane P Ko; David P Naidich
Journal:  J Thorac Imaging       Date:  2004-07       Impact factor: 3.000

4.  Clinical evaluation of a computer-aided diagnosis (CAD) prototype for the detection of pulmonary embolism.

Authors:  Sonja Buhmann; Peter Herzog; Jin Liang; Mathias Wolf; Marcos Salganicoff; Chlodwig Kirchhoff; Maximilian Reiser; Christoph H Becker
Journal:  Acad Radiol       Date:  2007-06       Impact factor: 3.173

5.  Evaluation of computer-aided detection and diagnosis systems.

Authors:  Nicholas Petrick; Berkman Sahiner; Samuel G Armato; Alberto Bert; Loredana Correale; Silvia Delsanto; Matthew T Freedman; David Fryd; David Gur; Lubomir Hadjiiski; Zhimin Huo; Yulei Jiang; Lia Morra; Sophie Paquerault; Vikas Raykar; Frank Samuelson; Ronald M Summers; Georgia Tourassi; Hiroyuki Yoshida; Bin Zheng; Chuan Zhou; Heang-Ping Chan
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

6.  Subsegmental pulmonary emboli: improved detection with thin-collimation multi-detector row spiral CT.

Authors:  U Joseph Schoepf; Nicolaus Holzknecht; Thomas K Helmberger; Alexander Crispin; Cheng Hong; Christoph R Becker; Maximilian F Reiser
Journal:  Radiology       Date:  2002-02       Impact factor: 11.105

7.  Multidetector computed tomography for acute pulmonary embolism.

Authors:  Paul D Stein; Sarah E Fowler; Lawrence R Goodman; Alexander Gottschalk; Charles A Hales; Russell D Hull; Kenneth V Leeper; John Popovich; Deborah A Quinn; Thomas A Sos; H Dirk Sostman; Victor F Tapson; Thomas W Wakefield; John G Weg; Pamela K Woodard
Journal:  N Engl J Med       Date:  2006-06-01       Impact factor: 91.245

8.  Pulmonary embolism revealed on helical CT angiography: comparison with ventilation-perfusion radionuclide lung scanning.

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Journal:  AJR Am J Roentgenol       Date:  2000-04       Impact factor: 3.959

9.  Detection of pulmonary embolism in patients with unresolved clinical and scintigraphic diagnosis: helical CT versus angiography.

Authors:  L R Goodman; J J Curtin; M W Mewissen; W D Foley; R J Lipchik; M R Crain; K B Sagar; B D Collier
Journal:  AJR Am J Roentgenol       Date:  1995-06       Impact factor: 3.959

10.  Computer-assisted detection of pulmonary embolism: performance evaluation in consensus with experienced and inexperienced chest radiologists.

Authors:  Christoph Engelke; Stephan Schmidt; Annemarie Bakai; Florian Auer; Katharina Marten
Journal:  Eur Radiol       Date:  2007-09-28       Impact factor: 5.315

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  1 in total

1.  The RSNA Pulmonary Embolism CT Dataset.

Authors:  Errol Colak; Felipe C Kitamura; Stephen B Hobbs; Carol C Wu; Matthew P Lungren; Luciano M Prevedello; Jayashree Kalpathy-Cramer; Robyn L Ball; George Shih; Anouk Stein; Safwan S Halabi; Emre Altinmakas; Meng Law; Parveen Kumar; Karam A Manzalawi; Dennis Charles Nelson Rubio; Jacob W Sechrist; Pauline Germaine; Eva Castro Lopez; Tomas Amerio; Pushpender Gupta; Manoj Jain; Fernando U Kay; Cheng Ting Lin; Saugata Sen; Jonathan Wesley Revels; Carola C Brussaard; John Mongan
Journal:  Radiol Artif Intell       Date:  2021-01-20
  1 in total

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