Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography

European Radiology

Volumn 23, Issue 7, 2013, Pages 1862-1870

  Hammon, Matthias ^a   Dankerl, Peter ^a   Tsymbal, Alexey ^b   Wels, Michael ^b   Kelm, Michael ^b   May, Matthias ^a   Suehling, Michael ^b   Uder, Michael ^a   Cavallaro, Alexander ^a  

^a UNIVERSITY HOSPITAL ERLANGEN   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

Bone metastases; Clinical decision support; Computed tomography (CT); Computer aided detection (CADe); Spine

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BLASTIC SPINAL METASTASIS; CANCER DIAGNOSIS; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC TEST ACCURACY STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; HUMAN; LYTIC SPINAL CORD METASTASIS; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RADIOLOGIST; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SPINAL CORD METASTASIS; THORACOLUMBAR SPINE;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; AUTOMATION; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MALE; MIDDLE AGED; NEOPLASM METASTASIS; OSTEOPOROSIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RETROSPECTIVE STUDIES; ROC CURVE; SOFTWARE; SPINAL NEOPLASMS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84879019318     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-013-2774-5     Document Type: Article

References (35)

1. Mundy GR (2002) Metastasis to bone: causes, consequences and therapeutic opportunities. Nat Rev Cancer 2:584-593
2. Theriault RL, Theriault RL (2012) Biology of bone metastases. Cancer Control 19:92-101
3. Roodman GD (2004) Mechanisms of bone metastasis. N Engl J Med 15:1655-1664
4. Choi J, Raghavan M (2012) Diagnostic imaging and image-guided therapy of skeletal metastases. Cancer Control 19:102-112
5. Kodaira M, Takahashi S, Yamada S et al (2010) Bone metastasis and poor performance status are prognostic factors for survival of carcinoma of unknown primary site in patients treated with systematic chemotherapy. Ann Oncol 21:1163-1167
6. Kalogeropoulou C, Karachaliou A, Zampakis P (2009) Radiologic evaluation of skeletal metastases: role of plain radiographs and computed tomography. Bone Metastases Cancer Metastasis Biol Treat 12:119-136
7. Hamaoka T, Madewell JE, Podoloff DA, Hortobagyi GN, Ueno NT (2004) Bone imaging in metastatic breast cancer. J Clin Oncol 15:2942-2953
8. Krupinski EA (2004) Computer-aided detection in clinical environment: benefits and challenges for radiologists. Radiology 231:7-9
9. MEDICO (2011) Intelligent searches of medical databases. Federal Ministry of Economics and Technology, Germany. http://www.theseus-programm.de/en/920. php. Accessed 4 Dec 2012
10. Krueger-Brand HE (2009) Web 3.0 im Dienst der Medizin. Dtsch Aerzteblatt 106:458-459 (in German)
11. O'Connor SD, Yao J, Summers RM (2007) Lytic metastases in thoracolumbar spine: computer-aided detection at CT-preliminary study. Radiology 242:811-816
12. Wiese T, Yao J, Burns JE, Summers RM (2012) Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut. SPIE Med Imaging Proc 8315
13. Kelm BM, Zhou SK, Suehling M, Zheng Y, Wels M, Comaniciu D (2011) Detection of 3D spinal geometry using iterated marginal space learning. Springer Lect Notes Comput Sci 6533:96-105
14. Breiman L (2001) Random forests. Mach Learn 45:5-32
15. Barbu A, Suehling M, Xu X, Liu D, Zhou SK, Comaniciu D (2010) Automatic detection and segmentation of axillary lymph nodes. Springer Lect Notes Comput Sci 6361:28-36
16. Wels M, Zheng Y, Carneiro G, Huber M, Hornegger J, Comaniciu D (2009) Fast and robust 3-D MRI brain structure segmentation. Springer Lect Notes Comput Sci 5762:575-583
17. Wels M, Kelm BM, Tsymbal A et al (2012) Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. SPIE Med Imaging Proc 8315
18. Andriole KP, Morin RL, Arenson RL et al (2004) Addressing the coming radiology crisis - the Society for Computer Applications in Radiology transforming the radiological interpretation process (TRIP) initiative. J Digit Imaging 17:235-243
19. Andriole KP, Wolfe JM, Khorasani R et al (2011) Optimizing analysis, visualization, and navigation of large image data sets: one 5000-section CT scan can ruin your whole day. Radiology 259:346-362
20. Summers RM (2003) Road maps for advancement of radiologic computer-aided detection in the 21st century. Radiology 229:11-13
21. Roos JE, Paik D, Olsen D et al (2010) Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance. Eur Radiol 20:549-557
22. Blackmon KN, Florin C, Bogoni L et al (2011) Computer-aided detection of pulmonary embolism at CT pulmonary angiography: can it improve performance of inexperienced readers? Eur Radiol 21:1214-1223
23. Dorrius MD, Jansen-van der Weide MC, van Ooijen PM, Pijnappel RM, Oudkerk M (2011) Computer-aided detection in breast MRI: a systematic review and meta-analysis. Eur Radiol 21:1600-1608
24. Neri E, Faggioni L, Regge D et al (2011) CT Colonography: role of a second reader CAD paradigm in the initial training of radiologists. Eur J Radiol 80:303-309
25. Napel SA, Beaulieu CF, Rodriguez C et al (2010) Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results. Radiology 256:243-252
26. Sung YS, Kwon HJ, Park BW et al (2011) Prostate cancer detection on dynamic contrast-enhanced MRI: computer-aided diagnosis versus single perfusion parameter maps. AJR Am J Roentgenol 197:1122-1129
27. Arnoldi E, Gebregziabher M, Schoepf UJ et al (2010) Automated computer-aided stenosis detection at coronary CT angiography: initial experience. Eur Radiol 20:1160-1167
28. Kotter E, Langer M (2011) Computer aided detection and diagnosis in radiology. Eur Radiol 21:590-592
29. Van Ginneken B, Schaefer-Prokop CM, Prokop M (2011) Computer-aided diagnosis: how to move from the laboratory to the clinic. Radiology 261:719-732
30. Algra PR, Heimans JJ, Valk J, Nauta JJ, Lachniet M, Van Kooten B (1992) Do metastases in vertebrae begin in the body or the pedicles? Imaging study in 45 patients. AJR Am J Roentgenol 158:1275-1279
31. Aoki J, Watanabe H, Shinozaki T et al (2001) FDG PET of primary benign and malignant bone tumors: standardized uptake value in 52 lesions. Radiology 219:774-777
32. Cook GJ, Houston S, Rubens R, Maisey MN, Fogelman I (1998) Detection of bone metastases in breast cancer by 18FDG PET: differing metabolic activity in osteoblastic and osteolytic lesions. J Clin Oncol 16:3375-3379
33. Angtuaco EJ, Fassas AB, Walker R, Sethi R, Barlogie B (2004) Multiple myeloma: clinical review and diagnostic imaging. Radiology 231:11-23
34. Nishikawa RM, Schmidt RA, Linver MN, Edwards AV, Papaioannou J, Stull MA (2012) Clinically missed cancer: how effectively can radiologists use computer-aided detection? AJR Am J Roentgenol 198:708-716
35. White CS, Flukinger T, Jeudy J, Chen JJ (2009) Use of a computer-aided detection system to detect missed lung cancer at chest radiography. Radiology 252:273-281