Radiomics-based Machine Learning Approach for Quantitative Classification of Spinal Metastases in Computed Tomography |
Lee, Eun Woo
(Department of Biomedical Engineering, College of Health Science, Gachon University)
Lim, Sang Heon (Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University) Jeon, Ji Soo (Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University) Kang, Hye Won (Department of Biomedical Engineering, College of Health Science, Gachon University) Kim, Young Jae (Department of Biomedical Engineering, College of Health Science, Gachon University) Jeon, Ji Young (Department of Radiology, Gil Medical Center, Gachon University College of Medicine) Kim, Kwang Gi (Department of Biomedical Engineering, College of Health Science, Gachon University) |
1 | Mastro AM, Gay CV, Welch DR. The skeleton as a unique environment for breast cancer cells. Clinical & Experimental Metastasis. 2003;20(3):275-84. DOI |
2 | Sohn SK et al. Collective Review of Cases of Spinal Metastases. The Korean Orthopaedic. 1988;23(4):1087-96. DOI |
3 | Drotar P, Gazda J, Smekal Z. An experimental comparison of feature selection methods on two-class biomedical datasets. Computers in Biology and Medicine. 2015;66:1-10. DOI |
4 | Yang Y, et al. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma. J Magn Reson Imaging. 2019;49(5):1263-74. DOI |
5 | Park J-M. Interventional treatments for cancer pain due to bone metastasis. Anesthesia and Pain Medicine. 2015;10(3):149-64. DOI |
6 | Eun PJ, KH Sung Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies. Nuclear medicine and molecular imaging : NMMI. 2018;52(2):99-108. DOI |
7 | HM, B.-C., J.-Z. O, M. JD. Diagnosis and Treatment Options of Spinal Metastases. Rev Invest Clin. 2015;67(3):140-57. |
8 | Wang Z, et al. Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases. Oncotarget. 2015;11(7):12612-22. |
9 | Lu M. Embedded feature selection accounting for unknown data heterogeneity. Expert Systems with Applications. 2019;119:350-61. DOI |
10 | Kim KH. Non-small cell lung cancer recurrence prediction model using deep learning-based radiomics. Conf Proc 대한 기계학회 춘추학술대회, 2020. p. 53. |
11 | Fluss R, Faraggi D, Reiser B. Estimation of the Youden Index and its associated cutoff point. Biom J. 2005;47(4):458-72. DOI |
12 | Kuffner R, et al. Inferring gene regulatory networks by ANOVA. Bioinformatics. 2012;28(10):1376-82. DOI |
13 | Verma C, Illes Z, Sttofova V. Real-time classification of national and international students for ICT and mobile technology: an experimental study on Indian and Hungarian University. Journal of Physics: Conference Series. 2020;1432:12091. DOI |
14 | Ahn SJ, et al. Contrast-enhanced T1-weighted image radiomics of brain metastases may predict EGFR mutation status in primary lung cancer. Scientific Reports. 2020;10(1):8905. DOI |
15 | Lee G, Bak SH, Lee HY. CT Radiomics in Thoracic Oncology: Technique and Clinical Applications. Nuclear Medicine and Molecular Imaging. 2018;52(2):91-8. DOI |
16 | A F., et al. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012; 30(9):1323-41. DOI |
17 | McKay C, Fujinaga I, Depalle, P. jAudio: A feature extraction library. in Proceedings of the International Conference on Music Information Retrieval. 2005. |
18 | Chandrashekar G, Sahin F. A survey on feature selection methods. Computers & Electrical Engineering. 2014;40(1):16-28. DOI |
19 | Altmann A., et al. Permutation importance: a corrected feature importance measure. Bioinformatics. 2010;26(10):1340-47. DOI |
20 | Yan K, Zhang D. Feature selection and analysis on correlated gas sensor data with recursive feature elimination. Sensors and Actuators B: Chemical. 2015;212:353-63. DOI |
21 | Armstrong RA, Slade SV, Eperjesi F. An introduction to analysis of variance (ANOVA) with special reference to data from clinical experiments in optometry. Ophthalmic and Physiological Optics. 2000;20(3):235-41. DOI |
22 | Shin DS, Ryu SM, Park CH. The Diagnostic Strategy for Malignant Bone Tumors. The Korean Orthopaedic. 2015; 50(6):429-37. DOI |
23 | Liaw C-C, et al. Hepatocellular Carcinoma Presenting as Bone Metastasis. Cancer. 1989; 64(8):1753-57. DOI |
24 | David Roodman G, Silbermann R. Mechanisms of osteolytic and osteoblastic skeletal lesions. Bonekey Rep. 2015;4:753. |
25 | Shin SO, Kim SK, Kim MS. Pallative effect of radiation therapy in management of symptomatic osseous metastases. Yeungnam University Journal of Medicine. 1992;9(1):102. DOI |
26 | Batson OB, MA. The Fucntion of the Vertearal Veins and Their Role in the Spread of Metastases. Annals of Sugery. 1940;112(1):138-49. DOI |
27 | Koom WS, et al. Radiation Therapy for Bone Metastasis from Hepatocellular Carcinoma. Clinical and Molecular Hepatology. 2002;8(3):304-11. |
28 | Heindel W. et al. The diagnostic imaging of bone metastases. Deutsches Arzteblatt international. 2014;111(44):741-47. |