scholarly journals Methodology and reliability of corneo-pterygium total area measurements utilizing image analysis method

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Mohd Radzi Hilmi ◽  
Khairidzan Mohd Kamal ◽  
Mohd Zulfaezal Che Azemin ◽  
Azrin Esmady Ariffin

 Introduction: To propose an objective method of quantifying pterygium total area utilizing image analysis method. Methods: 68 primary pterygium participants were selected from patients who visited an ophthalmology clinic. We adopted image analysis software in calculating the size of invading pterygium to the cornea. The marking of calculated area was done manually and the total area size was measured in pixel. The calculated area is defined as the area from the apex of pterygium to the limbal-corneal border. Then, from pixel it was transformed into a percentage (%), which represents the corneo-pterygium total area relative to the total corneal surface area. Intra-observer reliability testing was performed by the tracing process was repeated twice with a different sequence of images at least one (1) month apart. Inter-observer reliability were also examined by having two observers. Intraclass correlation (ICC) and scatter plot were used to describe the reliability of measurement. Results: The overall mean (N = 68) of corneo-pterygium total area was 44.36 ± 12.31% (CI: 41.38 – 47.34). Reliability for ROI demarcation of corneo-pterygium total area were excellent with intra and inter-agreement of 0.999 (95%CI, 0.998– 0.999; P <0.001) and 0.998 (95%CI, 0.997–0.999; P <0.001) respectively. Conclusions: The image analysis method is useful, reliable and practical in a clinical setting to objectively quantify corneo-pterygium total area regardless of the size and shapes. By having a standardized measurement of corneo-pterygium total area, the actual effects of the pterygium progression on changes of corneal curvature can be investigated.

2018 ◽  
Vol 3 (4) ◽  
pp. 225-228
Author(s):  
Bernadette Kerekes-Máthé ◽  
Csaba Dudás ◽  
Nóra Csergő ◽  
Krisztina Mártha

Abstract Background: Measurement-based studies are prone to measurement errors, which occur at the same operator or between different operators during repeated measurements of the same sample. Aim of the study: To assess the inter-operator reliability of morphometric measurements using a bidimensional image analysis method. Material and methods: Eight study models have been selected, images of teeth and models were taken from vestibular and occlusal view. The following parameters were measured individually by three, previously trained operators: mesio-distal, occluso-gingival, and vestibulo-oral dimensions, vestibular and occlusal area, depth of palatal arch, arch breadth, arch circumference, and arch length. Intraclass correlation coefficients were calculated for each measurement. Results: The reliability of the measurements showed high degrees, all values being higher than 0.8. Conclusions: Dental morphometric measurements done by 2D image analysis can be performed by multiple operators with an excellent reliability.


MethodsX ◽  
2021 ◽  
pp. 101447
Author(s):  
Fabio Valoppi ◽  
Petri Lassila ◽  
Ari Salmi ◽  
Edward Haeggström

1989 ◽  
Vol 93 (3) ◽  
pp. 358-362 ◽  
Author(s):  
Thomas J. Flotte ◽  
Johanna M. Seddon ◽  
Yuqing Zhang ◽  
Robert J. Glynn ◽  
Kathleen M. Egan ◽  
...  

2010 ◽  
Vol 13 (04) ◽  
pp. 197-201 ◽  
Author(s):  
Lior Shamir ◽  
David T. Felson ◽  
Luigi Ferrucci ◽  
Ilya G. Goldberg

The detection of knee osteoarthritis (OA) is a subjective task, and even two highly experienced and well-trained readers might not always agree on a specific case. This problem is noticeable in OA population studies, in which different scoring projects provide significantly different scores for the same knee X-rays. Here we propose a method for quantitative assessment and comparison of knee X-ray scoring projects in OA population studies. The method works by applying an image analysis method that automatically detects OA in knee X-ray images, and comparing the consistency of the scores when using each of the scoring projects as "gold standard." The method was applied to compare the osteoarthritis initiative (OAI) clinic reading derived Kellgren and Lawrence (K&L) scores to central reading, and showed that when using the derived K&L scores the automatic image analysis method was able to accurately differentiate between healthy joints and moderate OA joints in ~70% of the cases. When the OAI central reading scores were used as gold standard, the detection accuracy was elevated to ~77%. These results show that the OAI central readings scores are more consistent with the X-rays, indicating that the central reading better reflects the radiographic features associated with OA, compared to the OAI K&L scores derived from clinic readings.


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