A Predictive Clinical-Radiomics Nomogram for Differentiating Tuberculous Spondylitis from Pyogenic Spondylitis Using CT and Clinical Risk Factors

References

• Garcia-Rodriguez JF, Alvarez-Diaz H, Lorenzo-Garcia MV, Marino-Callejo A, Fernandez-Rial A, Sesma-Sanchez P. Extrapulmonary tuberculosis: epidemiology and risk factors. Enferm Infecc Microbiol Clin. 2011;29(7):502–509. doi:10.1016/j.eimc.2011.03.005
   PubMed Web of Science ®Google Scholar
• Khanna K, Sabharwal S. Spinal tuberculosis: a comprehensive review for the modern spine surgeon. Spine J. 2019;19(11):1858–1870. doi:10.1016/j.spinee.2019.05.002
   PubMed Web of Science ®Google Scholar
• Weiner J 3rd, Maertzdorf J, Sutherland JS, et al. Metabolite changes in blood predict the onset of tuberculosis. Nat Commun. 2018;9(1):5208. doi:10.1038/s41467-018-07635-7
   PubMed Web of Science ®Google Scholar
• Garg RK, Raut T, Malhotra HS, et al. Evaluation of prognostic factors in medically treated patients of spinal tuberculosis. Rheumatol Int. 2013;33(12):3009–3015. doi:10.1007/s00296-013-2841-x
   PubMed Web of Science ®Google Scholar
• Garg RK, Malhotra HS, Kumar N. Spinal tuberculosis: still a great mimic. Neurol India. 2019;67(6):1402–1404. doi:10.4103/0028-3886.273618
   PubMed Web of Science ®Google Scholar
• Aizawa T, Ozawa H, Koakutsu T, et al. Atypical findings on magnetic resonance imaging in the patients with active pyogenic spondylitis in Japanese university hospitals. Tohoku J Exp Med. 2013;231(1):13–19. doi:10.1620/tjem.231.13
   PubMed Web of Science ®Google Scholar
• Tali ET, Oner AY, Koc AM. Pyogenic spinal infections. Neuroimaging Clin N Am. 2015;25(2):193–208. doi:10.1016/j.nic.2015.01.003
   PubMed Web of Science ®Google Scholar
• Babic M, Simpfendorfer CS. Infections of the spine. Infect Dis Clin North Am. 2017;31(2):279–297. doi:10.1016/j.idc.2017.01.003
   PubMed Web of Science ®Google Scholar
• Colman RE, Anderson J, Lemmer D, et al. Rapid drug susceptibility testing of drug-resistant mycobacterium tuberculosis isolates directly from clinical samples by use of amplicon sequencing: a proof-of-concept study. J Clin Microbiol. 2016;54(8):2058–2067. doi:10.1128/JCM.00535-16
   PubMed Web of Science ®Google Scholar
• Sheikh AF, Khosravi AD, Goodarzi H, et al. Pathogen identification in suspected cases of pyogenic spondylodiscitis. Front Cell Infect Microbiol. 2017;7:60. doi:10.3389/fcimb.2017.00060
   PubMed Web of Science ®Google Scholar
• Jeong SJ, Choi SW, Youm JY, Kim HW, Ha HG, Yi JS. Microbiology and epidemiology of infectious spinal disease. J Korean Neurosurg Soc. 2014;56(1):21–27. doi:10.3340/jkns.2014.56.1.21
   PubMed Web of Science ®Google Scholar
• Ibad HA, de Cesar Netto C, Shakoor D, et al. Computed tomography: state-of-The-art advancements in musculoskeletal imaging. Invest Radiol. 2022. doi:10.1097/RLI.0000000000000908
   PubMed Web of Science ®Google Scholar
• Berg L, Thoresen H, Neckelmann G, Furunes H, Hellum C, Espeland A. Facet arthropathy evaluation: CT or MRI? Eur Radiol. 2019;29(9):4990–4998. doi:10.1007/s00330-019-06047-5
   PubMed Web of Science ®Google Scholar
• Shiiba T, Takano K, Takaki A, Suwazono S. Dopamine transporter single-photon emission computed tomography-derived radiomics signature for detecting Parkinson’s disease. EJNMMI Res. 2022;12(1):39. doi:10.1186/s13550-022-00910-1
   PubMed Web of Science ®Google Scholar
• Wang Y, Zhou M, Ding Y, et al. Development and comparison of multimodal models for preoperative prediction of outcomes after endovascular aneurysm repair. Front Cardiovasc Med. 2022;9:870132. doi:10.3389/fcvm.2022.870132
   PubMed Web of Science ®Google Scholar
• Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48(4):441–446. doi:10.1016/j.ejca.2011.11.036
   PubMed Web of Science ®Google Scholar
• Naseri H, Skamene S, Tolba M, et al. Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest. Sci Rep. 2022;12(1):9866. doi:10.1038/s41598-022-13379-8
   PubMed Web of Science ®Google Scholar
• Kim AY, Yoon MA, Ham SJ, et al. Prediction of the acuity of vertebral compression fractures on CT using radiologic and radiomic features. Acad Radiol. 2022;29:1512–1520. doi:10.1016/j.acra.2021.12.008
   PubMed Web of Science ®Google Scholar
• Jiang YW, Xu XJ, Wang R, Chen CM. Radiomics analysis based on lumbar spine CT to detect osteoporosis. Eur Radiol. 2022;32:8019–8026. doi:10.1007/s00330-022-08805-4
   PubMed Web of Science ®Google Scholar
• Ye L, Miao S, Xiao Q, et al. A predictive clinical-radiomics nomogram for diagnosing of axial spondyloarthritis using MRI and clinical risk factors. Rheumatology. 2022;61(4):1440–1447. doi:10.1093/rheumatology/keab542
   PubMed Web of Science ®Google Scholar
• Wang B, Gao W, Hao D. Current study of the detection and treatment targets of spinal tuberculosis. Curr Drug Targets. 2020;21(4):320–327. doi:10.2174/1389450120666191002151637
   PubMed Web of Science ®Google Scholar
• Liu X, Rui M, Lyu L. Tuberculous meningomyelitis in magnetic resonance imaging: a Chinese case report. Eur J Radiol Open. 2019;6:284–286. doi:10.1016/j.ejro.2019.02.006
   PubMed Web of Science ®Google Scholar
• Li T, Li W, Du Y, et al. Discrimination of pyogenic spondylitis from brucellar spondylitis on MRI. Medicine. 2018;97(26):e11195. doi:10.1097/MD.0000000000011195
   PubMed Web of Science ®Google Scholar
• Raghavan M, Lazzeri E, Palestro CJ. Imaging of spondylodiscitis. Semin Nucl Med. 2018;48(2):131–147. doi:10.1053/j.semnuclmed.2017.11.001
   PubMed Web of Science ®Google Scholar
• Kumaran SP, Thippeswamy PB, Reddy BN, Neelakantan S, Viswamitra S. An institutional review of tuberculosis spine mimics on MR imaging: cases of mistaken identity. Neurol India. 2019;67(6):1408–1418. doi:10.4103/0028-3886.273630
   PubMed Web of Science ®Google Scholar
• Gao M, Sun J, Jiang Z, et al. Comparison of tuberculous and brucellar spondylitis on magnetic resonance images. Spine. 2017;42(2):113–121. doi:10.1097/BRS.0000000000001697
   PubMed Web of Science ®Google Scholar
• Zhang N, Zeng X, He L, et al. The value of MR imaging in comparative analysis of spinal infection in adults: pyogenic versus tuberculous. World Neurosurg. 2019;128:e806–e813. doi:10.1016/j.wneu.2019.04.260
   PubMed Web of Science ®Google Scholar
• Muehlematter UJ, Mannil M, Becker AS, et al. Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning. Eur Radiol. 2019;29(5):2207–2217. doi:10.1007/s00330-018-5846-8
   PubMed Web of Science ®Google Scholar
• Liu X, Zheng M, Jiang Z, et al. Computed tomography imaging characteristics help to differentiate pyogenic spondylitis from brucellar spondylitis. Eur Spine J. 2020;29(7):1490–1498. doi:10.1007/s00586-019-06214-8
   PubMed Web of Science ®Google Scholar
• Liu X, Zheng M, Sun J, Cui X. A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis on computed tomography images. Eur Radiol. 2021;31(10):7626–7636. doi:10.1007/s00330-021-07812-1
   PubMed Web of Science ®Google Scholar
• Tharmaseelan H, Hertel A, Rennebaum S, et al. The potential and emerging role of quantitative imaging biomarkers for cancer characterization. Cancers. 2022;14(14):3349. doi:10.3390/cancers14143349
   PubMed Web of Science ®Google Scholar
• Chee CG, Yoon MA, Kim KW, et al. Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT. Eur Radiol. 2021;31(9):6825–6834. doi:10.1007/s00330-021-07832-x
   PubMed Web of Science ®Google Scholar
• Huang W, Li L, Liu S, et al. Enhanced CT-based radiomics predicts pathological complete response after neoadjuvant chemotherapy for advanced adenocarcinoma of the esophagogastric junction: a two-center study. Insights Imaging. 2022;13(1):134. doi:10.1186/s13244-022-01273-w
   PubMed Web of Science ®Google Scholar
• Tong H, Sun J, Fang J, et al. A machine learning model based on PET/CT radiomics and clinical characteristics predicts tumor immune profiles in non-small cell lung cancer: a retrospective multicohort study. Front Immunol. 2022;13:859323. doi:10.3389/fimmu.2022.859323
   PubMed Web of Science ®Google Scholar
• Honda T, Uehara T, Matsumoto G, Arai S, Sugano M. Neutrophil left shift and white blood cell count as markers of bacterial infection. Clin Chim Acta. 2016;457:46–53. doi:10.1016/j.cca.2016.03.017
   PubMed Web of Science ®Google Scholar
• Chen L, Liu C, Liang T, et al. Monocyte-to-lymphocyte ratio was an independent factor of the severity of spinal tuberculosis. Oxid Med Cell Longev. 2022;2022:7340330. doi:10.1155/2022/7340330
   PubMed Web of Science ®Google Scholar
• Liu H, Li Y, Yi J, Zhou W, Zhao S, Yin G. Neutrophil-lymphocyte ratio as a potential marker for differential diagnosis between spinal tuberculosis and pyogenic spinal infection. J Orthop Surg Res. 2022;17(1):357. doi:10.1186/s13018-022-03250-x
   PubMed Web of Science ®Google Scholar