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Color postprocessing of conventional CT images: preliminary results in assessment of nondisplaced proximal femoral fractures
Authors:Jacob C. Mandell,Tatiana C. Rocha,Maria Alejandra Duran-Mendicuti,Nityanand P. Miskin  author-information"  >,Junzi Shi,Bharti Khurana
Affiliation:1.Division of Musculoskeletal Imaging and Intervention, Brigham and Women’s Hospital,Harvard Medical School,Boston,USA;2.Division of Emergency Radiology, Brigham and Women’s Hospital,Harvard Medical School,Boston,USA;3.Department of Radiology, Brigham and Women’s Hospital,Harvard Medical School,Boston,USA
Abstract:

Purpose

The purpose of this study was to demonstrate the diagnostic performance and effect on reader confidence of a custom computed tomography (CT) color postprocessing algorithm for assessment of nondisplaced proximal femoral fractures.

Materials and methods

Four radiologists, including two PGY-3 radiology residents and two emergency radiologists, independently interpreted 30 CT examinations of the hip and/or pelvis performed for trauma, consisting of a total of 15 cases positive for nondisplaced hip fracture and 15 age and sex-matched controls. Images were reviewed first with conventional CT images and after at least 8 weeks, all images were reviewed again with the addition of coronal color postprocessed images. Sensitivity and specificity were compared with McNemar’s test, and diagnostic confidence was compared with paired t tests.

Results

There was no significant difference in diagnostic performance between conventional and postprocessed images, although there was nominally increased sensitivity and decreased specificity with the postprocessed images: for all readers, the sensitivity and specificity for conventional images was 88.3 and 95.0%, compared to 93.3% (p?=?0.25) and 88.3% (p?=?0.14) for postprocessed images. Three of four readers (including both attending radiologists) reported an increase in confidence with postprocessed images for cases negative for fracture (10-point confidence scale of 7.25 for conventional images, compared to 8.2 for postprocessed images for all readers, p?=?0.0053). There was no difference in diagnostic confidence for cases positive for fracture.

Conclusions

A custom color CT postprocessing algorithm did not demonstrate a significant difference in diagnostic performance for assessment of nondisplaced proximal femoral fractures within the limitations of a relatively small sample size; however, postprocessing increases confidence of experienced readers in cases negative for fracture.
Keywords:
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