Diametric analysis is the standard approach utilized for tumor measurement on medical imaging. However, the availability of newer more sophisticated techniques may prove advantageous. An evaluation of diameter, area, and volume was performed on 64 different lung lesions by three trained users. These calculations were obtained using a free DICOM viewer and standardized measuring procedures. Measurement variability was then studied using relative standard deviation (RSD) and intraclass correlation. Volumetric measurements were shown to be more precise than diametric. With minimal RSD and variance between different users, volumetric analysis was demonstrated as a reliable measurement technique. Additionally, the diameters were used to calculate an estimated area and volume; thereafter the estimated area and volume were compared against the actual measured values. The results in this study showed independence of the estimated and actual values. Estimated area deviated an average of 43.5% from the actual measured, and volume deviated 88.03%. The range of this variance was widely scattered and without trend. These results suggest that diametric measurements cannot be reliably correlated to actual tumor size. Access to appropriate software capable of producing volume measurements has improved drastically and shows great potential in the clinical assessment of tumors. Its applicability merits further consideration.

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Conclusions: The greatest predictor of matching in IR was the number of contiguous ranks rather than strength of Step 1 scores. After 10 contiguous ranks, the chances of matching cross the 90% threshold whereas Step scores of 270 did not cross the 80% threshold. Compared to other competitive specialties, IR PDs had a significantly stronger preference for commitment to specialty in selection for interview invitations. Therefore the greatest predictor of matching in IR is primarily determined by perceived commitment to the field whether it is by clinical experience or extracurricular involvement. Yet, currently, only 33% of US medical schools offer radiology rotations to students which impacts commitment perception. These important correlations have not been previously reported.