Background: Examination of all 24 ribs on axial computed tomography (CT) slices might become a leeway and rib fractures (RF) may easily overlook in daily practice. Rib unfolding (RU), a computer-assisted software, that promises rapid assessment of the ribs in a two-dimensional plan, was developed to facilitate rib evaluation. We aimed to evaluate the reliability and reproducibility of RU software for RF detection on CT and to determine the accelerating effect to determine any drawback of RU application.

Methods: Fifty-one patients with thoracic trauma formed the sample to be assessed by the observers. The characterization and distribution of RFs on CT images in this sample were recorded independently by the non-observers. Regarding the presence or ab-sence of RF, CT images were assessed blindedly by two radiologists with 5 years (observer-A) and 18 years (observer-B) of experience in thoracic radiology. Each observer assessed the axial CT and RU images on different days under non-observer supervision.

Results: A total of 113 RFs were detected in 22 patients. The mean evaluation time for the axial CT images was 146.64 s for ob-server-A and 119.29 s for observer-B. The mean evaluation time for RU images was 66.44 s for observer-A and 32.66 s for observer-B. A statistically significant decrease was observed between the evaluation periods of observer-A and observer-B with RU software compared to the axial CT image assessment (p<0.001). The inter-observer κ value was 0.638, while the intra-observer results showed moderate (κ: 0.441) and good (κ: 0.752) reproducibility comparing the RU and axial CT assessments. Observer-A detected 47.05% non-displaced fractures, 48.93% minimally displaced (≤2 mm) fractures, and 38.77% displaced fractures on RU images (p=0.009). Ob-server-B detected 23.52% non-displaced fractures, 57.44% minimally displaced (≤2 mm) fractures, and 48.97% displaced fractures on RU images (p=0.045).

Conclusion: RU software accelerates fracture evaluation, while it has drawbacks including low sensitivity in fracture detection, false negativity, and underestimation of displacement.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315928PMC
http://dx.doi.org/10.14744/tjtes.2023.64359DOI Listing

Publication Analysis

Top Keywords

rib unfolding
8
reliability reproducibility
8
axial images
8
evaluation time
8
images
5
pros cons
4
rib
4
cons rib
4
software
4
unfolding software
4

Similar Publications

Shoulder Pain - Don't Forget First Rib Fractures.

Port J Card Thorac Vasc Surg

July 2024

Thoracic Surgery Department, Instituto Português de Oncologia do Porto, Portugal.

First rib fractures are uncommon, mainly in paediatric population, considering its anatomic features and their skeleton plasticity. Traditional teaching usually characterizes it as a hallmark of severe trauma. Herein, to unfold awareness to an unnoticed diagnosis, we describe two paediatric cases of isolated first rib fracture in adolescents without a clear identifiable cause nor an underlining trauma mechanism.

View Article and Find Full Text PDF

Diagnostic Accuracy for Acute Rib Fractures: A Cross-sectional Study Utilizing Automatic Rib Unfolding and 3D Volume-Rendered Reformation.

Acad Radiol

April 2024

Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan (C.-W.L., Y.-C.J., S.-Y.H., C.T.C., W.-P.W.); Kaohsiung Medical University, Kaohsiung, Taiwan (C.-T.C., W.-P.W); Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan (W.-P.W.). Electronic address:

Article Synopsis
  • - The study aimed to compare computed tomography (CT) with automatic rib unfolding and 3D imaging for detecting rib fractures and flail chest in 130 patients with blunt chest trauma.
  • - Five independent readers evaluated rib fractures using traditional CT, automatic rib unfolding, and 3D images, establishing a consensus for accurate diagnosis.
  • - Automatic rib unfolding reduced reading time significantly (by up to 74.9%) while providing similar diagnostic accuracy and better agreement among readers compared to conventional images.
View Article and Find Full Text PDF

Background: Examination of all 24 ribs on axial computed tomography (CT) slices might become a leeway and rib fractures (RF) may easily overlook in daily practice. Rib unfolding (RU), a computer-assisted software, that promises rapid assessment of the ribs in a two-dimensional plan, was developed to facilitate rib evaluation. We aimed to evaluate the reliability and reproducibility of RU software for RF detection on CT and to determine the accelerating effect to determine any drawback of RU application.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates whether virtual monoenergetic datasets from dual-energy CT (DECT) technology negatively affect the accuracy of post-processing applications, particularly the "unfolded ribs" algorithm, due to potential image artifacts caused by metal or beam hardening.
  • Using data from chest scans taken between March and April 2021, the research compared traditional mixed data sets with different keV levels (40-120 keV) and evaluated their impact on image quality, lesion detection, and fracture recognition.
  • Results show that both the original and modified algorithms significantly reduced image artifacts, with the modified approach performing particularly well in eliminating "black artifacts" and false positives, leading to highly accurate detection rates for lesions and rib fractures across various ke
View Article and Find Full Text PDF

Introduction: The fast and accurate diagnosis of rib fractures in polytrauma patients is important to reduce the mortality rate and relieve long-term pain and complications. Aim: To evaluate the diagnostic accuracy and potential time savings using automatic rib segmentation and a curved, unfolded view for the detection of rib fractures in trauma patients. Methods: The multidetector computed tomography raw data of 101 consecutive polytrauma patients (72 men; mean age 45 years, age range 17 to 84 years) admitted to a university hospital were retrospectively post-processed to generate a curved, unfolded view of the rib cage.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!