• Journal of Korean Medical Science
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• v.33 no.45
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• pp.285.1-285.10
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• 2018

Background: Robot-assisted radical prostatectomy (RARP) is a feasible treatment option for high-risk prostate cancer (PCa). While patients may achieve undetectable prostate-specific antigen (PSA) levels after RARP, the risk of disease progression is relatively high. We investigated metastasis-free survival, cancer-specific survival (CSS), and overall survival (OS) outcomes and prognosticators in such patients. Methods: In a single-center cohort of 342 patients with high-risk PCa (clinical stage ${\geq}T3$, biopsy Gleason score ${\geq}8$, and/or PSA levels ${\geq}20ng/mL$) treated with RARP and pelvic lymph node dissection between August 2005 and June 2011, we identified 251 (73.4%) patients (median age, 66.5 years; interquartile range [IQR], 63.0-71.0 years) who achieved undetectable PSA levels (< 0.01 ng/mL) postoperatively. Survival outcomes were evaluated for the entire study sample and in groups stratified according to the time to biochemical recurrence dichotomized at 60 months. Results: During the median follow-up of 75.9 months (IQR, 59.4-85.8 months), metastasis occurred in 38 (15.1%) patients, most often to the bones, followed by the lymph nodes, lungs, and liver. The 5-year metastasis-free, cancer-specific, and OS rates were 87.1%, 94.8%, and 94.3%, respectively. Multivariate Cox-regression analysis revealed time to recurrence as an independent predictor of metastasis (P < 0.001). Time to metastasis was an independent predictor of OS (P = 0.003). Metastasis-free and CSS rates were significantly lower among patients with recurrence within 60 months of RARP (log-rank P < 0.001). Conclusion: RARP confers acceptable oncological outcomes for high-risk PCa. Close monitoring beyond 5 years is warranted for early detection of disease progression and for timely adjuvant therapy.

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.231-236
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• 2019

Background/Objectives: This paper proposes a dual mode feedback-controlled cycling system for children with spastic cerebral palsy to rehabilitate upper extremities. Repetitive upper limb exercise in this therapy aims to both reduce and analyze the abnormal torque patterns of arm movements in three- dimensional space. Methods/Statistical analysis: We designed an exercycle robot which consists of a BLDC motor, a torque sensor, a bevel gear and bearings. Mechanical structures are customized for children of age between 7~13 years old and induces reaching and pulling task in a symmetric circulation. The shafts and external frames were designed and printed using 3D printer. While the child performs active/passive exercise, angular position, angular velocity, and relative torque of the pedal shaft are measured and displayed in real time. Findings: Experiment was designed to observe the features of a cerebral palsy child's exercise. Two children with bilateral spastic cerebral palsy participated in the experiment and conducted an active exercise at normal speed for 3 sets, 15 seconds for each. As the pedal reached 90 degrees and 270 degrees, the subject showed minimum torque, in which the child showed difficulty in the pulling task of the cycle. The passive exercise assisted the child to maintain a relatively constant torque while visually observing the movement patterns. Using two types of exercise enabled the child to overcome the abnormal torque measured in the active data by performing the passive exercise. Thus, this system has advantage not only in allowing the child to perform the difficult task, which may contribute in improving the muscle strength and endurance and reducing the spasticity but also provide customizable system according to the child's motion characteristic. Improvements/Applications: Further study is needed to observe how passive exercise influences the movement characteristics of an active motion and how customized experiment settings can optimize the effect of pediatric rehabilitation for spastic cerebral palsy.