Evaluation of a two-image technic consisting of an axial and a coronal image generated by using the rib-flattening application: effect on reading time and diagnostic validity

Autor: Mehmet Araç, Nesrin Erdoğan, Emetullah Cindil, Melih Akyüz, Gonca Erbaş, Hüseyin Koray Kiliç
Rok vydání: 2020
Předmět:
Zdroj: Volume: 50, Issue: 1 59-65
Turkish Journal of Medical Sciences
ISSN: 1303-6165
1300-0144
Popis: Background/aim: When reading a chest CT, a radiologist needs to evaluate each rib one by one due to complex curvy shape, which makes reporting a tiresome and time-consuming task. A new curved planar reformat application that flattens ribs on a single plane may find a place in the radiology reporting room. This study aimed to evaluate the effect of a two-image set created by using the rib-flattening application on the performance of a radiologist in detecting sclerotic rib lesions in cancer patients. Materials and methods: The local Institutional Review Board approved this retrospective study.Two radiologists with different experience levels reviewed chest CT examinations of 106 patients 76 men, 30 women . We divided the patients into group A n = 54 , reviewed by a standard method, and group B n = 52 , reviewed by a standard method and the two-image set created on the rib-flattening application. Reading times, validity indices, and agreement levels with reference data were evaluated for both readers. Results: The median reading time of the junior examiner significantly decreased with the rib-flattening method 160.5 s vs. 70.0 s; P < 0.001 . Diagnostic indices of the senior reader were improved significantly at per patient level group A, AUC: 0.867; group B, AUC: 0.982; P = 0.046 . The new method showed better agreement levels kappa: 0.69 to 0.96 than the general method kappa: 0.53 to 0.91 .Conclusion: Based on improved agreement levels, reading times, and diagnostic validity indices we conclude that a two-image set consisting of an axial and a coronal flattened-rib image may be used in conjunction with an ordinary exam.
Databáze: OpenAIRE