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Background Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy of the hand. While carpal tunnel release surgery generally provides good outcomes, some patients continue to experience persistent paresthesia postoperatively. This study aimed to develop a machine learning-based prediction model for paresthesia improvement following carpal tunnel surgery. Methods We retrospectively analyzed 94 hands from 83 patients who underwent carpal tunnel release surgery between April 2021 and March 2024. Paresthesia improvement was evaluated at 1-year follow-up using a 10-point scale, with excellent improvement defined as scores 0–1. Three machine learning algorithms (Support Vector Machine, Random Forest, and Logistic Regression) were compared. Model performance was evaluated using accuracy, precision, recall, F1-score, and area under the ROC curve (AUC). Results Of 94 hands, 53 (56.4%) achieved excellent paresthesia improvement. The optimized SVM model demonstrated the best performance with an AUC of 0.852, accuracy of 78.9%, precision of 88.9%, and recall of 72.7%. The five most important predictive factors were: distal motor latency (DML), age, disease duration, thenar muscle atrophy, and thumb opposition deficit. Conclusions Our preliminary machine learning model successfully predicted excellent paresthesia improvement after carpal tunnel surgery with good accuracy using five easily obtainable clinical parameters. This pilot study provides a foundation for developing more robust prediction tools that could assist in preoperative counseling and treatment planning. Clinical trial registration Clinical trial number: not applicable. This study was a retrospective analysis and not a clinical trial.

PurposeRecent studies have revealed the impact of spinopelvic factors on the risk of dislocation after total hip arthroplasty (THA). This study examined the risk factors of impingement that can lead to dislocation using pre- and postoperative spinopelvic radiographs.MethodsWe studied 143 consecutive patients with end-stage hip osteoarthritis who were eligible for THA at our institute. Pre-operative pelvic incidence (PI), sacral slope (SS), lumbar lordosis (LL), sagittal vertical axis (SVA) in the standing and sitting position, and centre-edge angle (CE) were measured. The post-operative SS, LL, SVA, femoral shaft angle, and radiographic alignment of the acetabular component were also measured. We performed a multiple linear regression analysis to determine the risk factors for anterior and posterior impingement using pre-operative demographic and radiographic parameters. The clearance of anterior and posterior implant impingement was used for the surrogate-dependent variable for dislocation.ResultsA total of 95 patients were included in the analysis. There were significant differences in SS, LL, and SVA between the standing and sitting positions (P < 0.001). A multiple linear regression analysis showed that the PI–LL, LL changes, and CE were associated with the posterior impingement (β = − 0.21, 0.24, and −0.27, respectively). Moreover, PI–LL was also associated with the anterior impingement in the sitting position (β = − 0.27).ConclusionOur results suggest that a flatback with a rigid spine leads to posterior impingement, and a well-balanced spine leads to anterior impingement, which can be a potential risk factor for dislocation.

Lumbar spondylolysis generally occurs in adolescent athletes. Bony union can be expected with conservative treatment, however, the fracture does not heal in some cases. When the fracture becomes a pseudoarthrosis, spondylolysis patients have the potential to develop isthmic spondylolisthesis. A cross-sectional study was performed to determine the incidence of spondylolysis and spondylolisthesis, and to elucidate when and how often spondylolisthesis occurs in patients with or without spondylolysis. Patients undergoing computed tomography (CT) scans of abdominal or lumbar regions for reasons other than low back pain were included (n = 580). Reconstruction CT images were obtained, and the prevalence of spondylolysis and spondylolisthesis were evaluated. Of the 580 patients, 37 patients (6.4%) had spondylolysis. Of these 37 patients, 19 patients (51.4%) showed spondylolisthesis, whereas only 7.4% of non-spondylolysis patients showed spondylolisthesis (p < 0.05). When excluding unilateral spondylolysis, 90% (18/20) of spondylolysis patients aged ≥60 years-old showed spondylolisthesis. None of the patients with isthmic spondylolisthesis had received fusion surgery, suggesting that most of these patients didn’t have a severe disability requiring surgical treatment. Our results showed that the majority of bilateral spondylolysis patients aged ≥60 years-old show spondylolisthesis, and suggest that spondylolisthesis occurs very frequently and may develop at a younger age when spondylolysis exists.

Background The development of computer-assisted technologies to diagnose anterior cruciate ligament (ACL) injury by analyzing knee magnetic resonance images (MRI) would be beneficial, and convolutional neural network (CNN)-based deep learning approaches may offer a solution. This study aimed to evaluate the accuracy of a CNN system in diagnosing ACL ruptures by a single slice from a knee MRI and to compare the results with that of experienced human readers. Methods One hundred sagittal MR images from patients with and without ACL injuries, confirmed by arthroscopy, were cropped and used for the CNN training. The final decision by the CNN for intact or torn ACL was based on the probability of ACL tear on a single MRI slice. Twelve board-certified physicians reviewed the same images used by CNN. Results The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of the CNN classification was 91.0%, 86.0%, 88.5%, 87.0%, and 91.0%, respectively. The overall values of the physicians’ readings were similar, but the specificity was lower than the CNN classification for some of the physicians, thus resulting in lower accuracy for the human readers. Conclusions The trained CNN automatically detected the ACL tears with acceptable accuracy comparable to that of human readers.

Purpose Extreme lateral interbody fusion provides minimally invasive treatment of spinal deformity, but complications including nerve and psoas muscle injury have been noted. To avoid nerve injury, mini-open anterior retroperitoneal lumbar interbody fusion methods using an approach between the aorta and psoas, such as oblique lumbar interbody fusion (OLIF) have been applied. OLIF with percutaneous pedicle screws without posterior decompression can indirectly decompress the spinal canal in lumbar degenerated spondylolisthesis. In the current study, we examined the radiographic and clinical efficacy of OLIF for lumbar degenerated spondylolisthesis. Methods We assessed 20 patients with lumbar degenerated spondylolisthesis who underwent OLIF and percutaneous pedicle screw fixation without posterior laminectomy. MR and CT images and clinical symptoms were evaluated before and 6 months after surgery. Cross sections of the spinal canal were evaluated with MRI, and disk height, cross-sectional areas of intervertebral foramina, and degree of upper vertebral slip were evaluated with CT. Clinical symptoms including low back pain, leg pain, and lower extremity numbness were evaluated using a visual analog scale and the Oswestry Disability Index before and 6 months after surgery. Results After surgery, significant increases in axial and sagittal spinal canal diameter (12 and 32 %), spinal canal area (19 %), disk height (61 %), and intervertebral foramen areas (21 % on the right side, 39 % on the left), and significant decrease of upper vertebral slip (−9 %) were found ( P  < 0.05). Low back pain, leg pain, and lower extremity numbness were significantly reduced compared with before surgery ( P  < 0.05). Conclusions Significant improvements in disk height and spinal canal area were found after surgery. Bulging of disks was reduced through correction, and stretching the yellow ligament may have decompressed the spinal canal. Lumbar anterolateral fusion without laminectomy may be useful for lumbar spondylolisthesis with back and leg symptoms.

Low back pain (LBP) is a major public health issue, and lifestyle-related factors (LRFs) are increasingly recognized as key contributors to LBP. However, comprehensive studies using recent data concerning the association between LBP and LRFs remain limited. In this study, a nationally representative sample of Japanese adults were surveyed to evaluate the relationship between LRFs and LBP and to explore how these factors relate to both the severity and chronicity of LBP. A cross-sectional nationwide survey was conducted among 5000 randomly selected Japanese adults aged 20–90 years; valid responses were obtained from 2188. Participants were analyzed using three different methods: (1) those with or without current LBP, (2) those with no/mild or moderate/severe pain, and (3) those with or without chronic LBP. Key LRFs included body mass index, alcohol consumption, smoking, exercise habits, comorbidities (dyslipidemia, diabetes, and hypertension), and self-image regarding body shape. Multivariable logistic regression analysis revealed that current LBP was significantly associated with body mass index (odds ratio [OR]=1.04, 95% confidence interval [CI]: 1.00–1.07), alcohol consumption (OR=1.37, 95% CI: 1.04–1.80), smoking (OR=1.63, 95% CI: 1.21–2.20), and dyslipidemia (OR=1.51, 95% CI: 1.06–2.13), and the severity of LBP was associated with smoking (OR=1.77, 95% CI: 1.19–2.64), lack of exercise (OR=1.55, 95% CI: 1.10–2.15), and dyslipidemia (OR=1.64, 95% CI: 1.06–2.55). In addition, smoking was the only LRF significantly associated with chronic LBP (OR=1.70, 95% CI: 1.23–2.34). Multiple LRFs are associated with the prevalence of LBP. Stratified analysis provided deeper insight into specific risk factors for LBP. In particular, dyslipidemia is linked to pain severity, whereas smoking is associated with both severity and chronicity. Future longitudinal studies should focus on the influence of these key LRFs on onset, severity, and chronicity of LBP.

This study aimed to characterize the content of frequently asked questions about the treatment of rheumatoid arthritis (RA) on the internet in Japan and to evaluate the quality of websites related to the questions. We searched terms on the treatment of RA on Google and extracted frequently asked questions generated by the Google \"people also ask\" function. The website that answered each question was also obtained. We categorized the questions based on the content. The quality of the websites was evaluated using the brief DISCERN, Journal of American Medical Association benchmark criteria, and Clear Communication Index. Our search yielded 83 questions and the corresponding websites. The most frequently asked questions were regarding the timeline of treatment (n = 17, 23%) and those on the timeline of the clinical course (n = 13, 16%). The median score of brief DISCERN was 11 points, with only 7 (8%) websites having sufficient quality. Websites having sufficient quality based on the Journal of American Medical Association benchmark criteria and Clear Communication Index were absent. The questions were most frequently related to the timeline of treatment and clinical course. Physicians should provide such information to patients with RA in the counseling and education materials.

PurposeTo compare the accuracy of pedicle screw placement in adolescent idiopathic scoliosis (AIS) between robotics and navigation and clarify the factors that cause screw deviation when robotics is used.MethodsFifty consecutive patients who underwent posterior spinal fusions with computer-assisted pedicle screw placement including robotics and navigation for AIS were included. A total of 741 pedicle screws (250: Robot group, 491: Navi group) were evaluated on postoperative CT images. A rate of penetration of ≥ 2 mm was calculated as the deviation rate. After propensity score matching, we examined vertebral levels, the distance from the reference frame (RF), and the pedicle channel grade as factors for deviation.ResultsThe deviation rate was significantly lower in the Robot group than in the Navi group (Robot group: 1.6%, Navi group: 7.5%). After propensity score matching, 22 cases were extracted. At T5–T8, the deviation rate of the Robot group was significantly lower than that of the Navi group. In the Robot group, the T2–T4 deviation rate was significantly higher than at the other vertebral levels. The distance from the RF didn’t affect the deviation rate. The deviation rate of pedicle channel Grade 4 (inner diameter of less than 1 mm) was significantly higher than for the other grades.ConclusionThe deviation rate of robotics was 1.6%, lower than that of navigation. The narrow pedicles with an inner diameter of less than 1 mm (deviation rate: 22.2%) and the upper thoracic level (deviation rate: 14.3%) were factors related to screw deviation even when using robotics.

IntroductionUnicompartmental knee arthroplasty (UKA) and high tibial osteotomy (HTO) are established treatments for medial compartment osteoarthritis (OA) or osteonecrosis (ON) of the knee joint, and the predominance of either procedure is inconclusive. We compared the awareness of the knee after UKA and HTO using the Forgotten joint score-12 (FJS).Materials and methodsThis was a retrospective, multicenter study. Ninety-six knees of 90 patients who received UKA or HTO and were followed-up for at least 1 year were analyzed. Postoperative FJS was compared between the two groups and evaluated for the effect of patient-related factors and clinical outcomes. Multiple linear regression analysis was performed to predict FJS.ResultsThere was no significant difference in the FJS between the UKA and HTO groups (p = 0.24). FJS did not correlate with any of the patient-related factors. There was a correlation between the FJS and each item of the Knee Injury and Osteoarthritis Outcome Scores (KOOS) and Lysholm Knee Scoring Scale (LKS). In multiple linear regression analysis, lower BMI, the diagnosis of OA Kellgren-Lawrence (KL) grade ≥ 3, and ON were significant predictors of better FJS. In both groups, FJS was correlated with each item of the KOOS and LKS. Internal consistency in terms of Cronbach’s alpha was excellent.ConclusionsThere was no significant difference in FJS between patients who underwent UKA and HTO. Lower BMI, the diagnosis of OA KL grade ≥ 3, and ON were significant predictors of better FJS.

This study aimed to perform a comparative analysis of postoperative results between lumbar degenerative spondylolisthesis (LDS) treated with oblique lateral interbody fusion (OLIF) and transforaminal lumbar interbody fusion (TLIF) from the Chiba spine surgery registry database. Sixty-five patients who underwent single-level OLIF (O group) for LDS with ≥ 3 years’ follow-up were retrospectively reviewed. The control group comprised 78 patients who underwent single-level TLIF (T group). The analyzed variables included global alignment, radiological parameters of fused segments, asymptomatic and symptomatic ASD incidence, clinical outcomes at 3 years postoperatively using the Japanese Orthopedic Association Back Pain Evaluation Questionnaire data, visual analogue scale scores for low back pain, lower extremity pain, and lower extremity numbness. There was no significant change in global alignment between the two groups. The rate of improvement in anterior intervertebral disc height was not significantly different between the groups at 1-month postoperatively. However, at the final evaluation, the anterior intervertebral disc height and incidence of asymptomatic ASD were significantly higher in the O group. There was no significant difference in symptomatic ASD, reoperation cases, or clinical results between groups. Thus, single-level OLIF can maintain the corrected disc height, but as it has no effect on global alignment, its benefit is limited.