Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy.

MLA

Ren, Hu, et al. “Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy.” Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, vol. 27, Jan. 2021, p. e929417. EBSCOhost, https://doi.org/10.12659/MSM.929417.

APA

Ren, H., Feng, T., Wang, L., Liu, J., Zhang, P., Yao, G., & Shen, Y. (2021). Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy. Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, 27, e929417. https://doi.org/10.12659/MSM.929417

Chicago

Ren, Hu, Tao Feng, Linfeng Wang, Junchuan Liu, Peng Zhang, Guangqing Yao, and Yong Shen. 2021. “Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy.” Medical Science Monitor : International Medical Journal of Experimental and Clinical Research 27 (January): e929417. doi:10.12659/MSM.929417.