ArticleSurgical and radiologic anatomy : SRA2025
Evaluation of measurement reliability in digital morphometric measurements in relation to professional experience and technology habits.
Article in Surgical and radiologic anatomy : SRA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Developmental changes in hypoglossal canal morphometry and its anatomical relationships: a CT study in 180 pediatric patients.Surgical and radiologic anatomy : SRA · 2026Article
- Mapping the nasal arterial topography: a dual-cohort ultrasound and cadaveric study.Surgical and radiologic anatomy : SRA · 2026Article
- Computed tomography-based evaluation of optic canal orientation and its relationship to the internal carotid artery: implications for skull base surgery.Surgical and radiologic anatomy : SRA · 2026Article
- Prediction of body weight and ethnicity using anthropomorphic measurements of the hand in two different populations.Scientific reports · 2026Article
- Anatomical validation of safe zones for facial nerve preservation in supraorbital keyhole approach: a cadaveric study.Surgical and radiologic anatomy : SRA · 2026Article
- Morphometric evaluation of the external opening of the carotid canal and its relationships with adjacent skull base landmarks.Surgical and radiologic anatomy : SRA · 2026Article
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Authors and funding
2 authors.
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Abstract
purposeMorphometric data quality depends on validity-how well a tool measures its intended variable-and reliability-the consistency of repeated measurements. This study investigates how the reliability of digital morphometric measurements correlates with the measurer's level of professional experience and their patterns of technology usage.
methodsA total of 21 medical students (inexperienced group) and 18 anatomists (experienced group) participated in the study. Participants first filled out a questionnaire addressing demographic information, experience levels, and technology usage behaviors. Following this, they underwent a 2-hour training session on ImageJ, a software utilized for digital morphometric analysis. Participants were then instructed to measure seven parameters (five linear, two angular) on images of 10 individuals, performing the measurements at multiple time points. Reliability was evaluated using the technical error of measurement (TEM), relative technical error of measurement (rTEM), and coefficient of reliability (R). Statistical analysis included Chi-square tests for categorical data and Mann-Whitney U tests for continuous variables, using SPSS 22.
resultsThere were no statistically significant differences between groups regarding gender distribution and hand dominance (p > 0.05), although notable differences in age and technology usage patterns were observed (p < 0.05). The experienced participants showed more frequent use of ImageJ (p < 0.05). Following the training, both groups showed comparable measurement times and reliability outcomes (p > 0.05).
conclusionThe findings suggest that, with sufficient instruction, digital morphometric assessments using ImageJ can yield reliable results regardless of the user's level of professional experience, underscoring the critical role of training in digital measurement proficiency.
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