Automatic rib unfolding in postmortem computed tomography: diagnostic evaluation of the OpenRib software compared with the autopsy in the detection of rib fractures

Objectives The main objective of this study was to evaluate the diagnostic performance of the OpenRib software against the gold standard of autopsy in the detection of rib fractures. The secondary objective was to measure inter-rater agreement between each radiological reader. Materials and methods Thirty-six subjects who underwent postmortem CT and autopsy were included in this study. Rib fractures were first assessed during the autopsy by carefully dissecting and examining each rib. They were also independently evaluated by three readers using OpenRib software. This software produces from postmortem CT images a reformat of the rib cage and a display of all ribs in a single plane. Each reader was asked to determine if the rib was fractured and, if so, whether the fracture was single or multiple. Results After exclusions, 649 ribs were included in the statistical analysis. The two readers with a similar level of experience showed a satisfactory inter-rater agreement and a sensitivity of 0.73 and 0.83 with a specificity of 0.95 and 0.91. However, the experienced reader diagnosed significantly more fractures than the autopsy and the other two readers ( p < 0.001). Conclusion The use of automatic rib unfolding software in postmortem CT allows an efficient and accurate assessment of rib fractures and enables the diagnosis of fractures that cannot be detected during a standard autopsy. For now, this method seems to be the simplest that can be routinely performed; however, it requires training time in order to be sufficiently effective.

[1]  Konstantin Nikolaou,et al.  Enhanced reading time efficiency by use of automatically unfolded CT rib reformations in acute trauma. , 2015, European journal of radiology.

[2]  K. Jeon,et al.  Effect of Bone Reading CT software on radiologist performance in detecting bone metastases from breast cancer. , 2017, The British journal of radiology.

[3]  R. Novelline,et al.  Multidetector CT of blunt thoracic trauma. , 2008, Radiographics : a review publication of the Radiological Society of North America, Inc.

[4]  Catalina Tobon-Gomez,et al.  Automatic Rib Cage Unfolding with CT Cylindrical Projection Reformat in Polytraumatized Patients for Rib Fracture Detection and Characterization , 2019, Seminars in Musculoskeletal Radiology.

[5]  Heinz-Peter Schlemmer,et al.  New bone post-processing tools in forensic imaging: a multi-reader feasibility study to evaluate detection time and diagnostic accuracy in rib fracture assessment , 2016, International Journal of Legal Medicine.

[6]  K. Nikolaou,et al.  Improved Follow-Up and Response Monitoring of Thoracic Cage Involvement in Multiple Myeloma Using a Novel CT Postprocessing Software: The Lessons We Learned. , 2016, AJR. American journal of roentgenology.

[7]  A. Rodríguez-Baeza,et al.  Perimortem fracture pattern in ribs by blunt force trauma , 2018, International Journal of Legal Medicine.

[8]  Jennifer C Love,et al.  Understanding rib fracture patterns: incomplete and buckle fractures. , 2004, Journal of forensic sciences.

[9]  Peter Dankerl,et al.  Evaluation of Rib Fractures on a Single-in-plane Image Reformation of the Rib Cage in CT Examinations. , 2017, Academic radiology.

[10]  Catalina Tobon-Gomez,et al.  Unfolded Cylindrical Projection for Rib Fracture Diagnosis , 2017, MSKI@MICCAI.

[11]  Wolf Schweitzer,et al.  Rib fractures at postmortem computed tomography (PMCT) validated against the autopsy. , 2013, Forensic science international.

[12]  Grzegorz Soza,et al.  The ribs unfolded - a CT visualization algorithm for fast detection of rib fractures: effect on sensitivity and specificity in trauma patients , 2015, European Radiology.

[13]  A. Blum,et al.  Clinical Application of Musculoskeletal CT: Trauma, Oncology, and Postsurgery , 2017 .

[14]  L. Martrille,et al.  Synergistic Role of Newer Techniques for Forensic and Postmortem CT Examinations. , 2018, AJR. American journal of roentgenology.

[15]  Peter Dankerl,et al.  Osteoblastic lesion screening with an advanced post-processing package enabling in-plane rib reading in CT-images , 2016, BMC Medical Imaging.

[16]  Thomas Flohr,et al.  Automated 3D Rendering of Ribs in 110 Polytrauma Patients: Strengths and Limitations. , 2017, Academic radiology.

[17]  Shu Liao,et al.  Automated "Bone Subtraction" Image Analysis Software Package for Improved and Faster CT Monitoring of Longitudinal Spine Involvement in Patients with Multiple Myeloma. , 2017, Academic Radiology.

[18]  D. J. Daegling,et al.  Structural Analysis of Human Rib Fracture and Implications for Forensic Interpretation * , 2008, Journal of forensic sciences.

[19]  Konstantin Nikolaou,et al.  Improved detection of bone metastases from lung cancer in the thoracic cage using 5- and 1-mm axial images versus a new CT software generating rib unfolding images: comparison with standard ¹⁸F-FDG-PET/CT. , 2015, Academic radiology.

[20]  C. O’Donnell,et al.  "Buckle" rib fracture: an artifact following cardio-pulmonary resuscitation detected on postmortem CT. , 2011, Legal medicine.

[21]  T. Berquist ARRS Annual Planning Meeting: Process Challenges and Modifications. , 2018, AJR. American journal of roentgenology.