Automated detection, localization, and classification of traumatic vertebral body fractures in the thoracic and lumbar spine at CT

Radiology

Volumn 278, Issue 1, 2016, Pages 64-73

  Burns, Joseph E ^a   Yao, Jianhua ^b   Muñoz, Hector ^b   Summers, Ronald M ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; COMPUTER SYSTEM; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; HUMAN; IMAGE ANALYSIS; LUMBAR SPINE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SENSITIVITY ANALYSIS; SPINE FRACTURE; STANDARD; THORACIC SPINE; VERTEBRA BODY; VERY ELDERLY; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; DIAGNOSTIC IMAGING; INJURIES; LUMBAR VERTEBRA; MIDDLE AGED; PROCEDURES; RADIOLOGY INFORMATION SYSTEM; SENSITIVITY AND SPECIFICITY; THORACIC VERTEBRA; X-RAY COMPUTED TOMOGRAPHY;

CONTRAST MEDIUM;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CONTRAST MEDIA; DECISION SUPPORT TECHNIQUES; FEMALE; HUMANS; LUMBAR VERTEBRAE; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOLOGY INFORMATION SYSTEMS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SPINAL FRACTURES; THORACIC VERTEBRAE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84952898057     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2015142346     Document Type: Article

References (37)

1. Saylor PJ, Smith MR. Bone health and prostate cancer. Prostate Cancer Prostatic Dis 2010; 13(1):20-27.
2. Anderson S, Biros MH, Reardon RF. Delayed diagnosis of thoracolumbar fractures in multiple-Trauma patients. Acad Emerg Med 1996;3(9):832-839.
3. Parizel PM, van der Zijden T, Gaudino S, et al. Trauma of the spine and spinal cord: imaging strategies. Eur Spine J 2010;19(Suppl 1): S8-S17.
4. Joaquim AF, Patel AA. Thoracolumbar spine trauma: evaluation and surgical decisionmaking. J Craniovertebr Junction Spine 2013;4(1):3-9.
5. Kepler CK, Felte RF, Rihn JA. Current concepts: classification of thoracolumbar fractures. Semin Spine Surg 2012;24(4):210-215.
6. Sethi MK, Schoenfeld AJ, Bono CM, Harris MB. The evolution of thoracolumbar injury classification systems. Spine J 2009;9(9):780-788.
7. Denis F. The three column spine and its significance in the classification of acute thoracolumbar spinal injuries. Spine 1983; 8(8):817-831.
8. McAfee PC, Yuan HA, Fredrickson BE, Lubicky JP. The value of computed tomography in thoracolumbar fractures. An analysis of one hundred consecutive cases and a new classification. J Bone Joint Surg Am 1983;65(4):461-473.
9. Magerl F, Aebi M, Gertzbein SD, Harms J, Nazarian S. A comprehensive classification of thoracic and lumbar injuries. Eur Spine J 1994;3(4):184-201.
10. McCormack T, Karaikovic E, Gaines RW. The load sharing classification of spine fractures. Spine 1994;19(15):1741-1744.
11. Vaccaro AR, Lehman RA Jr, Hurlbert RJ, et al. A new classification of thoracolumbar injuries: The importance of injury morphology, the integrity of the posterior ligamentous complex, and neurologic status. Spine 2005;30(20):2325-2333.
12. Joaquim AF, Patel AA. Relationships between the Arbeitsgemeinschaft för Osteosynthesefragen Spine System and the Thoracolumbar Injury Classification System: An analysis of the literature. J Spinal Cord Med 2013;36(6):586-590.
13. Parker JW, Lane JR, Karaikovic EE, Gaines RW. Successful short-segment instrumentation and fusion for thoracolumbar spine fractures: A consecutive 4=-year series. Spine 2000;25(9):1157-1170.
14. Vaccaro AR, Lim MR, Hurlbert RJ, et al. Surgical decision making for unstable thoracolumbar spine injuries: results of a consensus panel review by the Spine Trauma Study Group. J Spinal Disord Tech 2006;19(1):1-10.
15. Sansur CA, Shaffrey CI. Diagnosis and management of low lumbar burst fractures. Semin Spine Surg 2010;22(1):33-37.
16. Mirvis SE. Increasing workloads in radiology: does it matter? Appl Radiol 2013;42:6-7.
17. Krupinski EA, Berbaum KS, Caldwell RT, Schartz KM, Kim J. Long radiology workdays reduce detection and accommodation accuracy. J Am Coll Radiol 2010;7(9):698-704.
18. Patel AA, Vaccaro AR. Thoracolumbar spine trauma classification. J Am Acad Orthop Surg 2010;18(2):63-71.
19. Kim CW, Perry A, Garfin SR. Spinal instability: The orthopedic approach. Semin Musculoskelet Radiol 2005;9(1):77-87.
20. Guglielmi G, Diacinti D, van Kuijk C, et al. Vertebral morphometry: current methods and recent advances. Eur Radiol 2008;18(7):1484-1496.
21. Guglielmi G, Palmieri F, Placentino MG, DErrico F, Stoppino LP. Assessment of osteoporotic vertebral fractures using specialized workflow software for 6-point morphometry. Eur J Radiol 2009;70(1):142-148.
22. Ghosh S, Alomari RS, Chaudhary V, Dhillon G. Automatic lumbar vertebra segmentation from clinical CT for wedge compression fracture diagnosis. In: Summers RM, van Ginneken B, eds. Proceedings of SPIE: medical imaging 2011-computer-Aided diagnosis. Vol 7963. Bellingham, Wash: International Society for Optics and Photonics, 2011; 796303.
23. Yao J, Burns JE, Wiese T, Summers RM. Quantitative vertebral compression fracture evaluation using a height compass. In: van Ginneken B, Novak CL, eds. Proceedings of SPIE: medical imaging 2012-computer-Aided diagnosis. Vol 8315. Bellingham, Wash: International Society for Optics and Photonics, 2011; 83151X.
24. Hsieh MS, Tsai MD, Yeh YD, Jou SB. Automatic spinal fracture diagnosis and surgical management based on 3D image analysis and reconstruction of CT transverse sections. Biomed Eng Appl Basis Commun 2002;14(5):204-214.
25. Yao J, Burns JE, Munoz H, Summers RM. Detection of vertebral body fractures based on cortical shell unwrapping. Med Image Comput Comput Assist Interv 2012;15(Pt 3): 509-516.
26. Aebi M. Classification of thoracolumbar fractures and dislocations. Eur Spine J 2010; 19(Suppl 1):S2-S7.
27. Bernstein M. Easily missed thoracolumbar spine fractures. Eur J Radiol 2010;74(1):6-15.
28. Yao J, OConnor SD, Summers RM. Automated spinal column extraction and partitioning. In:Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on: IEEE, 2006; 390-393.
29. Pontil M, Verri A. Support vector machines for 3D object recognition. IEEE Trans Pattern Anal Mach Intell 1998;20(6):637-646.
30. Burges CJ. A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 1998;2(6):121-167.
31. Osher S, Sethian JA. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. J Comput Phys 1988;79(1):12-49.
32. Yao J, OConnor S, Summers R. Computer aided detection of lytic bone metastases in the spine using routine CT images. In: Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on. Arlington, VA: IEEE, 2007; 512-515.
33. Yao J, Summers RM, Hara AK. Optimizing the support vector machines (SVM) committee configuration in a colonic polyp CAD system. In: Amir AA, Manduca A, eds. Proceedings of SPIE: medical imaging 2015: physiology, function, and structure from medical images. Vol 5746. Bellingham, Wash: International Society for Optics and Photonics, 2005; 384-392.
34. Gazelle GS, Kessler L, Lee DW, et al. A framework for assessing the value of diagnostic imaging in the era of comparative effectiveness research. Radiology 2011;261(3):692-698.
35. Lewkonia P, Paolucci EO, Thomas K. Reliability of the thoracolumbar injury classification and severity score and comparison with the Denis classification for injury to the thoracic and lumbar spine. Spine 2012;37(26): 2161-2167.
36. Oner FC, Ramos LM, Simmermacher RK, et al. Classification of thoracic and lumbar spine fractures: problems of reproducibility. A study of 53 patients using CT and MRI. Eur Spine J 2002;11(3):235-245.
37. Rihn JA, Anderson DT, Harris E, et al. A review of the TLICS system: A novel, user-friendly thoracolumbar trauma classification system. Acta Orthop 2008;79(4):461-466.