Congenital midline cervical cleft is a rare anomaly that typically presents in the neonatal period as a thin suprasternal vertical band of erythematous skin with a nipple-like projection superiorly, which may exude fluid. We present the clinical and pathophysiologic features and the imaging findings of this uncommon, and rarely described entity in a newborn girl.

Objective

The purpose of this article is to discuss how to convert cross-sectional images into a 3D model and embed them in a Portable Document Format (PDF) file. Four programs are used: OsiriX, MeshLab, Microsoft PowerPoint, and Adobe Acrobat. Step-by-step instructions are provided.

Conclusion

Embedding 3D radiology models into PDF files is a powerful tool that may be used for clinical, educational, and research purposes.

Objective

Biomedical imaging research relies heavily on the subjective and semi-quantitative reader analysis of images. Current methods are limited by interreader variability and fixed upper and lower limits. The purpose of this study was to compare the performance of two assessment methods, pairwise comparison and Likert scale, for improved analysis of biomedical images.

Materials and methods

A set of 10 images with varying degrees of image sharpness was created by digitally blurring a normal clinical chest radiograph. Readers assessed the degree of image sharpness using two different methods: pairwise comparison and a 10-point Likert scale. Reader agreement with actual chest radiograph sharpness was calculated for each method by use of the Lin concordance correlation coefficient (CCC).

Results

Reader accuracy was highest for pairwise comparison (CCC, 1.0) and ranked Likert (CCC, 0.99) scores and lowest for nonranked Likert scores (CCC, 0.83). Accuracy improved slightly when readers repeated their assessments (CCC, 0.87) or had reference images available (CCC, 0.91).

Conclusion

Pairwise comparison and ranked Likert scores yield more accurate reader assessments than nonranked Likert scores.