Predictive Value of Cervical Degenerative Quantitative Scoring System on Postoperative Disc Height Loss After Cervical Disc Replacement.

STUDY DESIGN: A retrospective study. OBJECTIVE: In this study, a cervical degenerative quantitative scoring system was used to identify the risk factors for disc height loss after cervical disc replacement (CDR) and to verify their accuracy. BACKGROUND: Disc height loss after CDR is drawing much attention. Preoperative cervical degeneration has been proven related to postoperative disc height loss but lacked quantitative verification. PATIENTS AND METHODS: A total of 160 patients who underwent CDR with the Prestige-LP disc at our hospital between January 2011 and December 2016 were retrospectively reviewed. Disc height loss was defined as a reduction of more than 2 mm from postoperative to the final follow-up. A quantitative scoring system was used to evaluate preoperative degeneration on radiographs. Multivariate logistic regression was applied to determine predictive factors and calculate the logistic regression formula. Moreover, receiver operating characteristic curve analysis was conducted to obtain the optimal cutoff value and the area under the receiver operating characteristic curve [areas under the curve (AUC)]. RESULTS: Study subjects had a mean age of 43.51 ± 8.51 years, with a mean follow-up time of 60.14 ± 12.75 months. The overall incidence rate of disc height loss was 65.62%. Multivariate logistic regression analysis showed that endplate sclerosis ( P = 0.000) and low preoperative disc height ( P = 0.000) were independent risk factors for postoperative disc height loss. In addition, the calculated optimal cutoff point was 1 point of endplate sclerosis (AUC = 0.768) and 4.5 mm of preoperative disc height (AUC = 0.795). The regression formula established by multivariate logistic regression analysis was composed of preoperative disc height (odds ratio: 2.995, P = 0.000) and endplate sclerosis (odds ratio: 18.131, P = 0.000), with an AUC of 0.879. CONCLUSIONS: Our findings suggest that a comprehensive preoperative assessment is essential when patients with apparent endplate sclerosis and low preoperative disc height are being considered for CDR.

Anterior cervical X-shape-corpectomy and fusion vs. anterior cervical corpectomy and fusion for two-level cervical spondylosis.

PURPOSE: Anterior cervical X-shape-corpectomy and fusion (ACXF) is a novel cervical surgery, designed as partial alternative to the classic technique, anterior cervical corpectomy and fusion (ACCF). The aim of this study was to evaluate the early-stage outcomes of ACXF in treating two-level cervical spondylosis (CS) through comparisons with ACCF. METHODS: A retrospectively comparative study was conducted in two cohorts of patients who underwent single-vertebral ACXF or ACCF to treat two-level CS during September 2019 and October 2021. Clinical and radiological data of all the patients were collected from pre-operation to 1 year after the surgery, following by intra- and intergroup analyses and comparisons. RESULTS: Fifty-seven patients were included, with 24 undergoing ACXF and 33 undergoing ACCF. ACXF group had significantly shorter drainage duration (2.13 ± 0.61 days vs. 3.48 ± 1.30 days, P < 0.001) and less drainage volume (30.21 ± 26.88 ml vs. 69.30 ± 37.65 ml, P < 0.001) than ACCF group. Both techniques significantly improved all the clinical parameters (P < 0.01) with comparable effects (P > 0.05). Each complication rate in ACXF group was lower than that in ACCF group without significant difference (P > 0.05). ACXF showed a significantly smaller transverse decompression range than ACCF (11.93 ± 1.27 mm vs. 16.29 ± 1.88 mm, P < 0.001). Postoperatively, ACXF yielded a comparable fusion rate (P > 0.05) and a significantly lower subsidence rate (P < 0.01) than ACCF technique at all time points. CONCLUSIONS: ACXF is a potential surgical alternative for certain patients with two-level CS, as it provides both adequate decompression range and fewer adverse events than ACCF. The further modifications on ACXF worth exploration.

YouTube online videos as a source for patient education of cervical spondylosis-a reliability and quality analysis.

BACKGROUND: Given a prolonged course of Cervical spondylosis (CS) could cause irreversible neurological deficits, it is crucial to disseminate CS-related health information to the public to promote early diagnosis and treatment. YouTube has been widely used to search for medical information. However, the reliability and quality of videos on YouTube vary greatly. Thus, this study aimed to assess the reliability and educational quality of YouTube videos concerning CS and further explore strategies for optimization of patient education. METHODS: We searched YouTube online library for the keywords "cervical spondylosis", "cervical radiculopathy" and "cervical myelopathy" on January 15, 2023. Ranked by "relevance", the first 50 videos of each string were recorded. After exclusions, a total of 108 videos were included. All videos were extracted for characteristics and classified based on different sources or contents. Two raters independently evaluated the videos using Journal of American Medical Association (JAMA) benchmark criteria, Modified DISCERN (mDISCERN) tool, Global Quality Scale (GQS) and Cervical-Spondylosis-Specific Scale (CSSS), followed by statistical analyses. All continuous data were described as median (interquartile range). RESULTS: All videos had median values for JAMA, mDISCERN, GQS and CSSS scores of were 3.00 (1.00), 3.00 (2.00), 2.00 (1.00) and 7.00 (8.88), respectively. There were significant differences in VPI (P = 0.009) and JAMA (P = 0.001), mDISCERN (P < 0.001), GQS (P < 0.001) and CSSS (P < 0.001) scores among different sources. Videos from academic source had advantages in reliability and quality scores than other sources. VPI (P < 0.001), mDISCERN (P = 0.001), GQS (P < 0.001) and CSSS (P = 0.001) scores also significantly differed among videos of various contents. Spearman correlation analysis indicated VPI was not correlated with either reliability or quality. Multiple linear regression analysis showed a longer duration and an academic source were independent predictors of higher reliability and quality, while a clinical source also led to the higher video quality. CONCLUSIONS: The reliability and educational quality of current CS-related videos on YouTube are unsatisfactory. Users face a high risk of encountering inaccurate and misleading information when searching for CS on YouTube. Longer duration, source of academic or clinician were closely correlated to higher video reliability and quality. Improving the holistic reliability and quality of online information requires the concerted effort from multiple parties, including uploaders, the platform and viewers.

Pulmonary nocardiosis with bloodstream infection diagnosed by metagenomic next-generation sequencing in a kidney transplant recipient: A case report.

BACKGROUND: Pulmonary nocardiosis is difficult to diagnose by culture and other conventional testing, and is often associated with lethal disseminated infections. This difficulty poses a great challenge to the timeliness and accuracy of clinical detection, especially in susceptible immunosuppressed individuals. Metagenomic next-generation sequencing (mNGS) has transformed the conventional diagnosis pattern by providing a rapid and precise method to assess all microorganisms in a sample. CASE SUMMARY: A 45-year-old male was hospitalized for cough, chest tightness and fatigue for 3 consecutive days. He had received a kidney transplant 42 d prior to admission. No pathogens were detected at admission. Chest computed tomography showed nodules, streak shadows and fiber lesions in both lung lobes as well as right pleural effusion. Pulmonary tuberculosis with pleural effusion was highly suspected based on the symptoms, imaging and residence in a high tuberculosis-burden area. However, anti-tuberculosis treatment was ineffective, showing no improvement in computed tomography imaging. Pleural effusion and blood samples were subsequently sent for mNGS. The results indicated Nocardia farcinica as the major pathogen. After switching to sulphamethoxazole combined with minocycline for anti-nocardiosis treatment, the patient gradually improved and was finally discharged. CONCLUSION: A case of pulmonary nocardiosis with an accompanying bloodstream infection was diagnosed and promptly treated before the dissemination of the infection. This report emphasizes the value of mNGS in the diagnosis of nocardiosis. mNGS may be an effective method for facilitating early diagnosis and prompt treatment in infectious diseases, which overcomes the shortcomings of conventional testing.

Effect of facet joint distraction on the functional and radiological outcomes after anterior cervical disc replacement.

OBJECTIVE: The purpose of this study is to explore: 1) whether the extent of facet joint distraction affects functional outcomes following single-level anterior cervical disc replacement (ACDR) for cervical spondylotic radiculopathy and 2) whether the extent of facet joint distraction correlates with the cervical sagittal parameters. METHODS: We performed a retrospective analysis on 70 patients who had undergone a single-level ACDR to treat cervical spondylotic radiculopathy between January 2014 and December 2018. Pre- and post-operative lateral cervical spine X-ray radiographs were collected to determine radiographic parameters, including C0-C2 angle, C2-C7 angle, C7 Slope (C7S), T1 Slope (T1S), C2-C7 sagittal vertical axis (SVA), C2-C7 range of motion (ROM), Segmental ROM, disc height (DH) and inter-facet distance (ID). And the extend of facet joint distraction was evaluated by the two indexes: degree of intervertebral distraction (DID) defined and degree of facet joint distraction (DFJD). The visual analog scale (VASneck) and the Neck Disability Index scores (NDI) were adopted to demonstrate functional outcomes. Patients with the functional outcome improvement below the average were set as the positive group in the receiver operating characteristic (ROC) curve analysis, to find an optimal cut-off value of extent of facet joint distraction. RESULTS: VASneck and NDI scores improved significantly from pre- to post-operation among the entire cohort, and DFJD had a statistically significant negative correlation with ΔVASneck (p < 0.001) and ΔNDI (p < 0.001). According to ROC curve analysis, the cut-off value of DFJD for differing the appropriate and excessive distraction groups was set at 29.16% (sensitivity = 70.73%, specificity = 67.86%). Between these two groups, the ΔT1S, ΔROM, ΔVASneck, and ΔNDI were significantly different (p < 0.05). CONCLUSION: Single-segment ACDR may improve the functional outcome of patients with cervical spondylotic radiculopathy. However, those whose DFJD was greater than 29.16% had worse VASneck and NDI scores, as well as a lower ΔT1S and a lower ΔROM.

The Application of Virtual Reality in Cervical Spinal Surgery: A Review.

In recent years, clinicians have used virtual reality (VR) to simulate real-world environments for medical purposes. The use of VR systems in the field of cervical spine surgery can lead to effective surgical training programs without causing harm to patients. Moreover, both imaging and VR can be used before surgery to assist preoperative surgical planning. VR devices have a variety of built-in motion sensors, therefore kinematic data can be recorded while users are wearing VR devices and performing some actions for the evaluation of cervical spine activity and exercise ability. Therapists have also applied VR to cervical spine rehabilitation and showed good results. At present, the application of VR systems in cervical spine surgery has great potential, but current research is insufficient. Here, we review the latest advancements in VR technology used in cervical spine surgery and discuss potential directions for future work.

Effectiveness of flipped classroom vs traditional lectures in radiology education: A meta-analysis.

BACKGROUND: With the convert of educational concept, flipped classroom has been adopted gradually in radiology courses as a new teaching mode. Considering no evidence has been concluded to illustrate the effectiveness of of flipped classroom over traditional instructor-centered lectures in radiology education, this meta-analysis was conducted to provide empirical evidence for the reform of pedagogical. METHODS: Studies were retrieved from six databases, including Pubmed, Embase, Web of Science, Wanfang Data, CNKI, and VIP, from their inception to 16 February 2020. Literature selection and data extraction were completed by two reviewers independently. The effect size of each index was expressed as the odds ratio (OR) for a categorical variable and standard mean difference (SMD) for a continuous variable, each with corresponding 95% confidence interval (95% CI). RESULTS: A total of 19 studies with 2114 participants were deemed to be eligible for inclusion. The results of this meta-analysis indicated that: the newly emerged flipped classroom represented significant advantage versus traditional lecture in improving theoretical performance (SMD 1.12, 95% CI 0.61-1.63, P < .001), as well as in cultivating students' practical skills (SMD 2.59, 95% CI 1.69-3.59, P < .001). In the subjective findings of investigation, more positive responses were attained in students who took radiology subjects in flipped classroom, covering course satisfaction (OR 1.70, 95% CI 1.35-2.14, P < .001), improvement of teamwork ability (OR 1.80, 95% CI 1.21-2.67, P = .004), self-directed learning and reflection (OR 1.98, 95% CI 1.31-2.97, P = .001), and subjective cognition on consolidation of knowledge mastery (OR 1.38, 95% CI 1.19-1.60, P < .001). CONCLUSION: Flipped classroom displays multiple advantages versus traditional lecture-based teaching mode, which is well worth further promoting and applying in the process of radiology education.

Prognostic value of lymph node ratio in non-small-cell lung cancer: a meta-analysis.

BACKGROUND: This meta-analysis aimed to investigate the prognostic value of lymph node ratio in non-small-cell lung cancer. METHODS: We searched systematically for eligible studies in PubMed, Web of Science, Medline (via Ovid) and Cochrane library through 6 November 2018. The primary outcome was overall survival. Disease-free survival and cancer-specific survival were considered as secondary outcomes. Hazard ratio with corresponding 95% confidence interval were pooled. Quality assessment of included studies was conducted. Subgroup analyses were performed based on N descriptors, types of tumor resection, types of lymphadenectomy and study areas. Sensitivity analysis and evaluation of publication bias were also performed. RESULTS: Altogether, 20 cohorts enrolling 76 929 patients were included. Mean Newcastle-Ottawa Scale was 7.65 ± 0.59, indicating the studies' quality was high. The overall result showed non-small-cell lung cancer patients with lower lymph node ratio was associated with better overall survival (HR: 1.946; 95% CI: 1.746-2.169; P < 0.001), disease-free survival (HR: 2.058; 95% CI: 1.717-2.467; P < 0.001) and cancer-specific survival (HR: 2.149; 95% CI: 1.864-2.477; P < 0.001). Subgroup analysis prompted types of lymphadenectomy and the station of positive lymph node have an important effect on the prognosis. No significant discovery was found in sensitivity analysis. CONCLUSION: Patients with lower lymph node ratio was associated with better survival, indicating that lymph node ratio may be a promising prognostic predictor in non-small-cell lung cancer. The type of lymphadenectomy, an adequate examined number and the removed stations should be considered for more accurate prognosis assessment.

Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management.

Bladder cancer is a fatal cancer that happens in the genitourinary tract with quite high morbidity and mortality annually. The high level of recurrence rate ranging from 50 to 80% makes bladder cancer one of the most challenging and costly diseases to manage. Faced with various problems in existing methods, a recently emerging concept for the measurement of imaging biomarkers and extraction of quantitative features called "radiomics" shows great potential in the application of detection, grading, and follow-up management of bladder cancer. Furthermore, machine-learning (ML) algorithms on the basis of "big data" are fueling the powers of radiomics for bladder cancer monitoring in the era of precision medicine. Currently, the usefulness of the novel combination of radiomics and ML has been demonstrated by a large number of successful cases. It possesses outstanding strengths including non-invasiveness, low cost, and high efficiency, which may serve as a revolution to tumor assessment and emancipate workforce. However, for the extensive clinical application in the future, more efforts should be made to break down the limitations caused by technology deficiencies, inherent problems during the process of radiomic analysis, as well as the quality of present studies.