The effect of different statistical approaches on image quality data obtained from radiological examinations |
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Affiliation: | 1. Department of Biostatistics, University of Liverpool, United Kingdom;2. Directorate of Radiography, University of Salford, United Kingdom;3. Department of Radiological Techniques, College of Health and Medical Technology, Al-Zahraa University for Women, Karbala, Iraq;1. Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288, Matsushima, Kurashiki, Okayama, 701-0193, Japan;2. Department of Medical Physics, Faculty of Life Sciences, Kumamoto University, Kumamoto, 1-1-1 Honjo, Kumamoto, 860-8556, Japan;3. Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan;4. Department of Diagnostic Radiology, Tsuchiya General Hospital, Nakajima-cho 3-30, Naka-ku, Hiroshima, 730-8655, Japan;5. Department of Pediatric Cardiology, Tsuchiya General Hospital, Nakajima-cho 3-30, Naka-ku, Hiroshima, 730-8655, Japan;6. Department of Radiological Technology, Tsuchiya General Hospital, Nakajima-cho 3-30, Naka-ku, Hiroshima, 730-8655, Japan;7. Department of Radiological Technology, Kawamura Clinic, Otemachi, Naka-ku, Hiroshima, 730-0051, Japan;8. Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Kasumi 1-2-3 Minami-ku, Hiroshima, 734-8551, Japan;1. Inspeção Geral da Agricultura, do Mar, do Ambiente, e do Ordenamento do Territorio (IGAMOT), Seção Radiações Ionizantes, Rua de O Seculo, N.51, 1200-433, Lisbon, Portugal;2. Centro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Campus Tecnológico e Nuclear, Estrada Nacional 10, km 139,7, 2695-066, Bobadela LRS, Portugal;3. Instituto Português de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal;4. Agência Portuguesa do Ambiente, Departamento de Emergências e Proteção Radiológica, Divisão de Autorização e Segurança Nuclear, Rua da Murgueira 9 – Zambujal – Alfragide, 2610-124, Amadora, Portugal |
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Abstract: | IntroductionSelection of optimal image acquisition protocols in medical imaging remains a grey area, the superimposed use of the Likert scale in radiological image quality evaluations creates an additional challenge for the statistical analysis of image quality data.Using a simulation study, we have trialled a novel approach to analysing radiological image quality Likert scale data.MethodsA simulation study was undertaken where simulated datasets were generated based on the distribution of Likert scale values according to varying image acquisition protocols from a real dataset. Simulated Likert scale values were pooled in four different ways; the mean, median, mode and the summation of patient Likert scale values of which the total was assigned a categorical Likert scale value. Estimates of bias, MAPE and RMSPE were then calculated for all four pooling approaches to determine which method most accurately represented an expert's opinion.ResultsWhen compared to an expert's opinion, the method of summation and categorisation of Likert scale values was most accurate 49 times out of the 114 (43.0%) tests. The mean 28 times out of 114 (24.6%), the median 23 times out of 114 (20.2%) and the mode 17 times out of 114 (14.9%).ConclusionWe conclude that our method of summation and categorisation of Likert scale values is most often the best representation of the simulated data compared to the expert's opinion.Implications for practiceThere is scope to reproduce this simulation study with multiple observers to reflect clinical reality more accurately with the dynamic nature of multiple observers. This also prompts future investigation into other anatomical areas, to see if the same methods produce similar results. |
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Keywords: | Radiography Statistics Likert Scale X-ray NHS Simulation Study MAPE" },{" #name" :" keyword" ," $" :{" id" :" kwrd0015" }," $$" :[{" #name" :" text" ," _" :" Mean Absolute Percentage Error RMSPE" },{" #name" :" keyword" ," $" :{" id" :" kwrd0025" }," $$" :[{" #name" :" text" ," _" :" Root Mean Squared Percentage Error CT" },{" #name" :" keyword" ," $" :{" id" :" kwrd0035" }," $$" :[{" #name" :" text" ," _" :" Computer Tomography MRI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0045" }," $$" :[{" #name" :" text" ," _" :" Magnetic Resonance Imaging VGAS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0055" }," $$" :[{" #name" :" text" ," _" :" Visual Grading Analysis Scores MOS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0065" }," $$" :[{" #name" :" text" ," _" :" Mean Opinion Score |
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