[Clinical guidelines for diagnosis and treatment of cervical spondylotic myelopathy with the integrated traditional Chinese and Western medicine(2023)].

The "Clinical Guidelines for Diagnosis and Treatment of Cervical Spondylotic Myelopathy with the Integrated Traditional Chinese and Western Medicine" were formulated by the Orthopedic and Traumatology Professional Committee of the Chinese Association of Integrative Medicine in accordance with the principles of evidence-based medicine and expert consensus, and provide clinicians with academic guidance on clinical diagnosis and treatment of CSM. The main content includes diagnostic points, disease grading assessment, TCM syndrome differentiation, surgical indications and timing, integrated traditional Chinese and Western medicine treatment, and postoperative rehabilitation. This guideline proposes for the first time that the treatment of CSM should follow the principle of grading, clarify the timing and methods of surgical treatment, establish common TCM syndrome differentiation and classification, attach importance to postoperative integrated rehabilitation of Chinese and Western medicine, and strengthen daily follow-up management. It hopes to promote the standardization, effectiveness, and safety of clinical treatment of CSM.

Classification and prognostic factors of patients with cervical spondylotic myelopathy after surgical treatment: a cluster analysis.

Identifying potential prognostic factors of CSM patients could improve doctors' clinical decision-making ability. The study retrospectively collected the baseline data of population characteristics, clinical symptoms, physical examination, neurological function and quality of life scores of patients with CSM based on the clinical big data research platform. The modified Japanese Orthopedic Association (mJOA) score and SF-36 score from the short-term follow-up data were entered into the cluster analysis to characterize postoperative residual symptoms and quality of life. Four clusters were yielded representing different patterns of residual symptoms and quality of patients' life. Patients in cluster 2 (mJOA RR 55.8%) and cluster 4 (mJOA RR 55.8%) were substantially improved and had better quality of life. The influencing factors for the better prognosis of patients in cluster 2 were young age (50.1 ± 11.8), low incidence of disabling claudication (5.0%) and pathological signs (63.0%), and good preoperative SF36-physiological function score (73.1 ± 24.0) and mJOA socre (13.7 ± 2.8); and in cluster 4 the main influencing factor was low incidence of neck and shoulder pain (11.7%). We preliminarily verified the reliability of the clustering results with the long-term follow-up data and identified the preoperative features that were helpful to predict the prognosis of the patients. This study provided reference and research basis for further study with a larger sample data, extracting more patient features, selecting more follow-up nodes, and improving clustering algorithm.

[Diagnosis and treatment of 11 patients with cevical spondylotic amyotrophy].

OBJECTIVE: To explore clinical features, treatment methods and clinical effects of cervical spondylosis with proximal muscular atrophy. METHODS: Eleven patients with proximal-type cervical spondylotic amyotrophy were retrospectively studied from September 2016 to November 2020, including 7 males and 4 females, aged 38 to 68 years old. Clinical symptoms, MRI and neuroelectrophysiological manifestations were analyzed, and patients were treated with conservative treatment or anterior cervical decompression fusion surgery, respectively. The efficacy was evaluated by manual muscle test (MMT) before and after treatment, and patients' satisfaction was followed up at the same time. RESULTS: All patients were followed up for 6 to 19 months. All 11 patients were unilateral, mainly manifested by atrophy of deltoid muscle, supraspinatus muscle and infraspinatus muscle, and may be accompanied by ipsilateral neck and shoulder pain at early stage. MRI showed lesions at C4,5, C5,6 segments were more common. Electrophysiological examination showed the affected muscle was denervated, and amplitude of compound muscle action potential (CMAP) of innervated nerve on the affected side was lower than that on the healthy side. All patients were obtained bone fusion. One patient who were underwent anterior cervical corpectomy and fusion (ACCF) occurred developed contralateral C5 nerve root paralysis after operation, which recovered completely after 10 weeks of symptomatic treatment. At 12 months after operation, the efficacy was evaluated according to MMT, 3 patients were treated conservatively, 2 patients excellent and 1 good;in 8 patients treated by operation, 3 patients were excellent, 4 good, and 1 moderate. CONCLUSION: The incidence of cervical spondylosis with proximal muscular atrophy is low, which is manifested as unilateral proximal muscle atrophy and may be accompanied by ipsilateral neck and shoulder pain in the early stage. Combined with MRI and neuroelectrophysiological examination, misdiagnosis could be reduced. In the early stage of disease, especially in the case of nucleus pulposus protrusion leading to nerve compression, conservative treatment could be taken. When the conservative treatment is ineffective or the pain cannot be tolerated, anterior decompression surgery is recommended, and the overall effect is satisfactory.

Aided diagnosis of cervical spondylotic myelopathy using deep learning methods based on electroencephalography.

Cervical spondylotic myelopathy (CSM) is the most severe type of cervical spondylosis. It is challenging to achieve early diagnosis with current clinical diagnostic tools. In this paper, we propose an end-to-end deep learning approach for early diagnosis of CSM. Electroencephalography (EEG) experiments were conducted with patients having spinal cord cervical spondylosis and age-matched normal subjects. A Convolutional Neural Network with Long Short-Term Memory Networks (CNN-LSTM) model was employed for the classification of patients versus normal individuals. In contrast, a Convolutional Neural Network with Bidirectional Long Short-Term Memory Networks and attention mechanism (CNN-BiLSTM-attention) model was used to classify regular, mild, and severe patients. The models were trained using focal Loss instead of traditional cross-entropy Loss, and cross-validation was performed. Our method achieved a classification accuracy of 92.5 % for the two-class classification among 40 subjects and 72.2 % for the three-class classification among 36 subjects. Furthermore, we observed that the proposed model outperformed traditional EEG decoding models. This paper presents an effective computer-aided diagnosis method that eliminates the need for manual extraction of EEG features and holds potential for future auxiliary diagnosis of spinal cord-type cervical spondylosis.

Establishing mild, moderate and severe criteria for the myelopathy disability index in cervical spondylotic myelopathy.

AIM: Cervical Spondylotic Myelopathy (CSM) is a disabling condition arising from arthritic compression and consequent injury of the cervical spinal cord. Stratification of CSM severity has been useful to inform clinical practice and research analysis. In the UK the Myelopathy Disability Index (MDI) is a popular assessment tool and has been adopted by the British Spinal Registry. However, no categories of severity exist. Therefore, the aim of this study was to define categories of mild, moderate and severe. METHOD: An anchor-based analysis was carried out on previously collected data from a prospective observational cohort (N = 404) of patients with CSM scheduled for surgery and assessed pre-operatively and at 3, 12, 24 and 60 months post-operatively. Outcomes collected included the SF-36 version-1 quality of life measure, visual analogue scales for neck/arm/hand pain, MDI and Neck Disability Index (NDI). A Receiver Operating Curve (ROC) analysis, using the NDI for an anchor-based approach, was performed to identify MDI thresholds. RESULTS: Complete data was available for 404 patients (219 Men, 185 Women). The majority of patients underwent anterior surgery (284, 70.3%). ROC curves plotted to identify the thresholds from mild to moderate to severe disease, selected optimal thresholds of 4-5 (AUC 0.83) and 8-9 (AUC 0.87). These MDI categories were validated against domains of the SF36 and VAS scores with expected positive linear correlations. CONCLUSION: Categories of mild, moderate and severe CSM according to the MDI of 4-5 and 8-9 were established based on the NDI.

Use of Assessment Tools in Cervical Spondylotic Myelopathy-Results of An Anonymized Survey Among Indian Spine Surgeons.

Background: Cervical spondylotic myelopathy (CSM) is the commonest cause of cervical myelopathy. It contributes to high morbidity and consequent economic burden for society. Many measurement tools have been devised to quantify the disease severity, assist in decision-making, and to evaluate the outcome of surgical intervention. Objective: Most of the assessment scales are used for research purposes only and rarely in clinical practice. The purpose of this survey was to check the awareness of spine surgeons about these assessment scales and their role in the management of patients with CSM. Methods: An online questionnaire using the application "Google Forms" made consisting of 10 questions regarding the experience of treating the CSM patients and their preference for various parameters in assessing these patients. Statistical analysis was done using the statistical programming language R. Results: One-hundred and sixty-three responses were analyzed. About 90% of the respondents were aware of the assessment tools and only 57% of them used any in management. Nurick's grade was the most well known among all groups. The commonest reason for surgeons not using any of these assessment scales despite being aware of these scales was their perception that it is very time-consuming to complete these assessment scales. Conclusion: Assessment scales have a role in the management and follow-up of CSM patients. While awareness regarding these tools is well spread, time constraint plays a major role in limiting its usage.

Degenerative Cervical Myelopathy: Evaluation and Management.

Degenerative cervical myelopathy is most commonly caused by cervical spondylosis, with a predominant elderly population, and is the most common cause of spinal cord impairment. Patients typically present with gait dysfunction, hand impairment, and/or the presence of long tract signs: clonus, Hoffman sign, Babinski sign, or inverted radial reflexes. One of the key surgical strategies is deciding an approach, which is based on patient characteristics and cause of pathologic condition. Without operative intervention, there is a high rate of neurological decline. Most surgeons recommended surgical treatment given the favorable outcomes and well understood natural history of disease.

Walking Quadriplegic: Cervical Myelopathy in an Ambulating Combat Support Soldier.

We discuss a case of a 27-year-old male Soldier who presented with acute to subacute vague radicular complaints, which were atypical for and out of proportion to the imaging findings. Imaging demonstrated compressive cervical myelopathy at the levels of C3/C4 and C4/C5. Paradoxically, the patient's history revealed a remote nerve root compression, not cord compression, at the same levels. Identification and prompt surgical management led to the reversal of significant neurologic deficits that were present preoperatively. This case highlights the difficulty of identifying this rare condition among a plethora of otherwise benign and common cervical spondyloses seen in the Special Operations population. This study aims to bring to light the subtle history and physical characteristics that can assist Special Operations healthcare providers in making an otherwise elusive diagnosis. Last, it highlights a utility to documenting baseline spinal exam findings for the force to better identify subtle injuries.

Predictive Nomogram for Clinical Prognosis in Cervical Spondylotic Myelopathy With Intramedullary T2-Weighted Increased Signal Intensity: A Novel Digital Tool for Patient Prognosis Education.

Aims: To establish a predictive nomogram for clinical prognosis in cervical spondylotic myelopathy (CSM) with intramedullary T2-weighted increased signal intensity (ISI). Methods: The clinical data of 680 patients with CSM with intramedullary T2-weighted ISI were retrospectively analyzed. The patients were divided into the modeling group (476) and the validation group (204) by using a random number table at a ratio of 7:3. The independent prognostic factors were screened using multivariate logistic regression analysis. The factors were subsequently incorporated into the establishment of the predictive nomogram. The area under the receiver operating characteristic (ROC) curve (AUC) was undertaken to estimate the discrimination of the predictive nomogram. The calibration curve and the Hosmer-Lemeshow test were used to assess the calibration of the predictive nomogram. The clinical usefulness of the predictive nomogram was evaluated by decision curve analysis (DCA). Results: Based on the pre-operative Japanese Orthopedic Association (JOA) score, maximal canal compromise (MCC), and maximal spinal cord compression (MSCC), we established a predictive nomogram. The AUCs in the modeling group and validation group were 0.892 (95% CI: 0.861~0.924) and 0.885 (95% CI: 0.835~0.936), respectively, suggesting good discrimination of the nomogram. Calibration curves showed a favorable consistency between the predicted probability and the actual probability. In addition, the values of P of the Hosmer-Lemeshow were 0.253 and 0.184, respectively, suggesting good calibration of the nomogram. DCA demonstrated that the nomogram had good clinical usefulness. Conclusion: We established and validated a predictive nomogram for the clinical prognosis in CSM with intramedullary T2-weighted ISI. This predictive nomogram could help clinicians and patients identify high-risk patients and educate them about prognosis, thereby improving the prognosis of high-risk patients.

Analysis of time-space variations during dynamic cervical spine motion in cervical spondylosis myelopathy patients.

BACKGROUND CONTEXT: Decreased cervical range of motion (ROM) is a common symptom of myelopathy patients. Many previous studies have relied on a variety of experimental approaches for quantifying static cervical range of motion. However, the change rules of time-space variation during dynamic cervical spine motion remains unknown. PURPOSE: To develop and validate the effectiveness of a novel wearable robot-based sensor system, Analysis of Dynamic Cervical spine Motion (ADCM), in evaluating the dynamic cervical spine motion dysfunction of patients with cervical spondylotic myelopathy (CSM). STUDY DESIGN/SETTING: A cross-sectional study. PATIENT SAMPLE: One hundred forty consecutive healthy individuals (70 men and 70 women) and 120 CSM patients (60 men and 60 women) were enrolled in the present study. OUTCOME MEASURES: The cervical motion process parameters, including the flexion and extension ROM, the flexion and extension time, and the Japanese Orthopedic Association scores (JOA) for cervical spine were measured. METHODS: Two hundred and sixty consecutive participants were asked to wear ADCM system and then fully flex and extend their neck rapidly and evenly at tolerable maximum speed. The cervical motion process was recorded and converted into waveforms. Relevant waveform parameters were measured and analyzed. The number of complete flexion-extension motions in 10 seconds has been defined as 10s F-E cycles. The Japanese Orthopedics Association (JOA) scores of CSM patients were marked. RESULTS: CSM patients had a lower number of 10s F-E cycles than healthy subjects. There were significant differences in flexion and extension time and ROM between two groups. The waveforms of myelopathy patients were wider and lower than those in healthy individuals. The average ratio value (defined as F) of wave height to wave width (a+b/c+d) could quantitatively reflect such differences of waveforms. The average F value was correlated with the JOA scores of the cervical motion function (r=0.7538), and F value declined as JOA scores decreased. According to receiver operating characteristic curve analysis, the optimal threshold value of the normal average ratio was more than 34.7. CONCLUSIONS: ADCM appears to be an objective and quantitative severity assessment tool for confirmed CSM patients by evaluating dynamic cervical spine motion dysfunction.

Quantitative Romberg using a force plate: an objective measure for cervical myelopathy.

BACKGROUND CONTEXT: Surgical decision making for cervical spondylotic myelopathy (CSM) relies on evaluation of symptoms and physical examination. The Romberg test is a clinical exam used to identify balance issues with CSM. However, the Romberg test has a subjective interpretation and has a binary (positive or negative) result. PURPOSE: This study aims to compare force plate pressure readings during a standard Romberg test in patients with CSM to age-matched normal healthy volunteers. STUDY DESIGN/SETTING: Prospective cross sectional observational comparative cohort from a single multi-surgeon spine center. PATIENT SAMPLE: Patients who were clinically diagnosed with CSM were compared to age-matched healthy volunteers without a clinical history of spine pathology. OUTCOME MEASURES: Quantitative Romberg Force Plate Measurements METHODS: Patients with CSM requiring surgery and healthy normal volunteers were asked to perform the Romberg test while on a force plate measuring the center of pressure (COP): standing up straight with arms extended for 30 seconds with eyes open, followed by 30 seconds with eyes closed. The change for total sway area, sway frequency and sway speed with eyes closed and eyes open were calculated and compared between patients with CSM and healthy volunteers. RESULTS: Thirty-four CSM patients were age-matched to 34 healthy volunteers. There was a larger change in quantitative Romberg measurements with eyes open versus eyes closed in CSM patients compared to normal volunteers for maximum lateral movement (10.79 cm vs. 0.94 cm, p=.003), maximum anterior-posterior movement (15.06 cm vs. 10.00 cm p=.201), total lateral CoP movement (89.82cm vs. 18.71cm, p=.007), total AP CoP movement (154.68 cm vs. 87.47 cm, p=.601), total CoP trace movement (199.79 cm vs. 88.44 cm, p=.014), sway area (284.74 cm2 vs. 57.76 cm2, p=.006), and average speed (7.00 cm/s vs. 2.91 cm/s, p=.006). DISCUSSION: Poor standing balance can be quantified in patients with CSM. Quantifying standing balance in patients with CSM shows significantly worse objective measures than age-matched healthy volunteers. The Romberg test on a force plate may help diagnose and evaluate patients with CSM, guide patient management and potentially grade the severity of spinal pathology. Further studies are needed to determine its utility in monitoring disease progression and measure treatment effectiveness.

Monitoring of neck activity for early warning of cervical spondylosis.

Wireless body area networks (WBANs) is a new research hotspot with great development prospects. The non-contact sensing based on radio frequency signal can solve the issues of personal comfort and privacy. Detection of cervical motion range and cervical strain in time are important in diagnosis and prevention of cervical spondylosis. In this paper, channel state information is used to achieve smart perception and monitoring, timely and efficient detection of different postures and abnormal bending of the neck. It provides an efficient way for protecting cervical health, and also some help for doctors to understand the causes of cervical vertebral disease in a timely manner. The classification accuracy of the four activities reached 99.4%, 99.7%, 99.5% and 99.3%, respectively.

Neuron-specific enolase level is a useful biomarker for distinguishing amyotrophic lateral sclerosis from cervical spondylotic myelopathy.

The current study aimed to evaluate whether cerebrospinal fluid (CSF) neuron-specific enolase (NSE) levels are elevated in amyotrophic lateral sclerosis (ALS) and are effective in distinguishing ALS from cervical spondylotic myelopathy (CSM). We retrospectively evaluated 45 patients with ALS, 23 with CSM, 28 controls, and 10 with Parkinson's disease (PD) who underwent analysis of CSF NSE levels. The control group comprised patients aged above 45 years who underwent lumbar puncture because of suspected neurological disorders that were ruled out after extensive investigations. CSF NSE levels were evaluated using the electro-chemiluminescent immunoassay. The ALS group had significantly higher CSF NSE levels than the CSM and control groups (P < 0.001 for both comparisons). The CSM, control, and PD groups did not significantly differ in terms of CSF NSE levels. A receiver-operating characteristic curve analysis was performed to assess the diagnostic value of CSF NSE levels in distinguishing ALS from CSM. The area under the curve for CSF NSE levels was 0.86. The optimal cutoff value was 17.7 ng/mL, with a specificity of 87% and a sensitivity of 80%. Hence, CSF NSE levels are elevated in ALS and are effective in distinguishing ALS from CSM.

Cervical and Thoracic Spondylotic Myelopathies.

Spondylotic myelopathies are among the most common disorders of the spine, yet the clinical and treatment approach is far from standardized. This article discusses our current understanding of the epidemiology, pathophysiology, clinical assessment, natural history, and treatment options in degenerative myelopathies of the cervical and thoracic spine. We additionally review diagnostic modalities including imaging modalities of the spine and neurophysiological tools such as electromyography/nerve conduction studies, somatosensory-evoked potentials, and motor-evoked potentials. Assessment instruments that can be used for the assessment of myelopathies are reviewed, including the Japanese Orthopedic Association (JOA) score, modified-JOA scale, Nurick scale, nine-hole peg test, and 30-m walking test. We also review common disorders that mimic spondylotic myelopathies, as well as helpful diagnostic clues in differentiating spondylotic and nonspondylotic myelopathies.

Gerstmann-Sträussler-Scheinker syndrome misdiagnosed as cervical spondylotic myelopathy: A case report with 5-year follow-up.

RATIONALE: Gerstmann-Sträussler-Scheinker syndrome (GSS) is a rare autosomal dominant disease caused by a mutation in the prion protein gene (PRNP) that is not well known among neurologists and is therefore easily misdiagnosed. PATIENT CONCERNS: : A 49-year-old man was admitted for the first time because of an unsteady walk with mogilalia for 1 year. He underwent a cervical discectomy and a plate-screw fixation 6 months prior, although postoperative gait instability did not improve. DIAGNOSIS: Whole exome sequencing identified a pathogenic and heterozygous mutation in the PRNP 4 years after onset. The patient was eventually diagnosed with GSS. INTERVENTIONS: Symptomatic treatment to improve cerebrocirculation and cerebrometabolism was provided. OUTCOMES: The neurological decline continued. The Mini-Mental State Examination and modified Rankin Scale scores changed from 19 to 11 and 2 to 5, respectively. Progressive cerebral and cerebellar atrophy on magnetic resonance imaging was observed. LESSONS: Cerebral and cerebellar atrophy are neuroimaging features symptomatic of GSS that become more apparent as the disease progresses. This atrophy is positively correlated with the severity of symptoms and reduced quality of life. Neurologists treating middle-aged patients with progressive ataxia, cognitive impairment or dysarthria, and brain atrophy need to consider the possibility of GSS.

Time Course of Physical and Mental Well-being Improvements After Cervical Surgery.

STUDY DESIGN: Retrospective cohort study. OBJECTIVE: To elucidate the postoperative time course of improvements in physical and mental well-being in patients with cervical spondylotic myelopathy (CSM). SUMMARY OF BACKGROUND DATA: Spinal surgeons should understand the postoperative course in detail. However, data are still needed regarding the time course of improvements in well-being, a fundamental aspect of human life, after cervical surgery for CSM. METHODS: One hundred consecutive patients who underwent laminoplasty for CSM, with complete clinical data preoperatively and 3 months and 2 years postoperatively, were enrolled. The Short Form-36 physical component summary (PCS) and mental component summary (MCS) scores were used as parameters of physical and mental well-being, respectively, and 4.0 was defined as the minimal clinically important difference (MCID) for both parameters. RESULTS: On average, PCS and MCS scores were significantly improved after surgery (P < 0.001, P=0.004, respectively). Moreover, 64 and 48 patients achieved meaningful improvement (>MCID) in PCS and MCS scores at 3 months postoperatively, with maintained improvement (to 2 yr) in 46/64 (71.9%) and 34/48 patients (70.8%), respectively (PCS vs. MCS: P = 0.912). Additionally, 15 of 36 patients (41.7%) and 8 of 52 patients (15.4%) achieved late improvement (meaningful improvement at 2 yr but not at 3 months) in PCS and MCS scores, respectively (PCS vs. MCS: P = 0.007). In multivariate regression analysis, improvement in cJOA score was significantly associated with PCS improvement, but not MCS improvement, at both 3 months and 2 years (P = 0.001, P > 0.001, respectively). CONCLUSION: The overall outcome of physical well-being improvement is decided within 3 months postoperatively, in proportion to the recovery in myelopathy, with a relatively high chance of meaningful improvement over the next 21 months. The outcome of improvement in mental well-being is decided within 3 months postoperatively, independently from the recovery in myelopathy, with a low chance of meaningful improvement over the next 21 months.Level of Evidence: 3.