Cheng Tzu Wang

Dr. Cheng Tzu Wang

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 June 2018 in BMC Musculoskeletal Disorders
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Journal Article
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CWCheng Tzu Wang
Cheng Tzu Wang
JCJia-Wan Chen
Jia-Wan Chen
KWKarl Wu
Karl Wu
CCChian-Sang Chen
Chian-Sang Chen
WCWen-Chih Chen
Wen-Chih Chen
TLTsung-Yu Lan
Tsung-Yu Lan
There have been many studies regarding nongeriatric femoral neck fractures (FNFs), which included patients of a wide age range (between 20 and 60 years old). We aimed to determine whether internal fixation provided acceptable outcomes for middle-aged patients with displaced FNFs, and identify predictors of successful internal fixation. A total of 117 patients, aged 50–60 years and who underwent closed reduction and unilateral internal fixation using cannulated screws, were included. The outcomes were classified as either “complications” (varus malunion, femoral neck shortening, non-union/early collapse, avascular necrosis, or arthroplasty during the follow-up) or “optimal outcomes” (no complications). Patients with displaced FNFs (Garden stages III–IV, n = 69) were categorized according to whether they experienced acceptable or unacceptable reduction. We evaluated whether patients’ clinical characteristics could predict optimal outcomes. Patients with displaced FNFs generally experienced complications (84.1%). Twenty-two percent of patients experienced optimal outcomes when acceptable reduction was achieved. Patients with unacceptable reductions experienced complications. Optimal outcomes were positively associated with Pauwels’ type II fracture (OR: 8.67, p = 0.025) and negatively associated with excessive alcohol consumption (p = 0.045). Compared with the younger age group, complication rates are higher in middle-aged patients with displaced FNFs treated using cannulated screws. If internal fixation is to be used for a displaced FNF, patient selection is essential. Care must be taken to avoid selecting patients with excessive alcohol consumption, while successful internal fixation may be more likely for patients with Pauwels’ type II fracture.

21 July 2022 in Journal of Orthopaedic Research
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Journal Article
Closed access
CWCheng Tzu Wang
Cheng Tzu Wang
BHBrady Huang
Brady Huang
NTNagaraju Thogiti
Nagaraju Thogiti
WZWan‐Xuan Zhu
Wan‐Xuan Zhu
CCChih‐Hung Chang
Chih‐Hung Chang
FLFeipei Lai
Feipei Lai

20 July 2021 in Journal of International Medical Research
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Journal Article
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THTA LI HSU
TA LI HSU
TLTien-Chi Li
Tien-Chi Li
FLFei-Pi Lai
Fei-Pi Lai
MOMing Ouhyoung
Ming Ouhyoung
CCChih-Hung Chang
Chih-Hung Chang
CWCheng Tzu Wang
Cheng Tzu Wang
Fat embolism syndrome (FES) is a complication of long bone fractures that often occurs within 72 hours of injury. Early-onset isolated cerebral fat embolism is catastrophic and rarely reported. We herein present a rare case of delayed-onset isolated cerebral FES that developed 10 days after definite fixation of a left tibial plateau fracture. A 70-year-old woman was injured in a traffic accident and diagnosed with a left tibial plateau fracture. However, she developed sudden loss of consciousness (E4V1M1) and quadriplegia 10 days after fracture fixation. Her vital signs showed no respiratory distress. Diagnosis of isolated cerebral FES was made based on magnetic resonance imaging of the brain, the findings of which were compatible with the clinical neurological findings. After supportive care and rehabilitation, her consciousness became clear on the second day of admission, and her consciousness changed to E4V5M6. She gradually regained strength in her right limbs but had residual left limb paraplegia. Isolated cerebral FES should always be considered for patients who develop a change in consciousness, even beyond 72 hours after injury. Imaging may not initially show definitive abnormalities. Repeated magnetic resonance imaging should be considered if the initial clinical presentation does not fully meet Gurd’s criteria.

9 October 2025 in Diagnostics
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CWCheng Tzu Wang
Cheng Tzu Wang
KCKai-Ting Chang
Kai-Ting Chang
FLFeipei Lai
Feipei Lai
JPJwo-Luen Pao
Jwo-Luen Pao
SLShang-Ming Lin
Shang-Ming Lin
CCChih-Hung Chang
Chih-Hung Chang
Objectives: To predict the progression of knee osteoarthritis (OA), a deep convolutional neural network model was developed and applied to basic images and clinical data. Design: A vision transformer-based model was trained using 5565 knee radiographs as baseline images from the osteoarthritis initiative (OAI), including 578 testing images. Each knee had a corresponding Kellgren and Lawrence (KL) stage after 48 months of follow-up. Another 274 cases from the Far Eastern Memorial Hospital were used for external validation. The data included a combination of single/pairing images and full/essential clinical factors. Area under the receiver operating characteristics (AUROC), accuracy, sensitivity, specificity, odds ratio, and ability to discriminate surgical candidates were applied to evaluate model performance. Results: In cases with OA progression, the AUROC for identifying surgical candidates was 0.844, 0.804, 0.766, and 0.718 in the combination of a single image with essential factors, single image with full factors, pairing images with essential factors, and pairing images with full factors, respectively. In OAI testing using the simplest input, AUROC of identifying OA progression was 0.808, with 74.1% accuracy, 91.8% sensitivity, and 71% specificity. In external validation, AUROC of identifying OA progression was 0.709, with 71.2% accuracy, 72.2% sensitivity, and 70.3% specificity. Positive model prediction had an odds ratio of 23.87 (CI: 11.24~50.67) in OAI and 5.92 (CI: 3.50~10.03) in external validation. Conclusions: Our model provides reliable prediction results for knee OA cases with the advantages of simplicity and flexibility. The model performance was excellent in progression cases, potentially making early intervention in OA patients more efficient.

23 January 2026 in Life
Verified
Journal Article
Open access
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HIHou Hoi Iong
Hou Hoi Iong
CCChih-Hung Chang
Chih-Hung Chang
JPJwo-Luen Pao
Jwo-Luen Pao
WCWen-Chih Chen
Wen-Chih Chen
SLShang-Ming Lin
Shang-Ming Lin
CWCheng Tzu Wang
Cheng Tzu Wang
Background: The relationship between comorbidity burden, as measured by the American Society of Anesthesiologists (ASA) classification, and functional recovery after total hip replacement (THR) remains uncertain. This study aimed to clarify whether ASA grade independently predicts postoperative patient-reported outcomes. Methods: We conducted a retrospective analysis of 218 consecutive patients from a prospectively maintained institutional registry who underwent primary unilateral THR between March 2021 and March 2024 in a single center. Patients were stratified into ASA 1–2 and ASA 3 groups. The Oxford Hip Score (OHS, 0–48) was collected preoperatively and at 1 week, 3 months, and 6 months postoperatively. Between-group differences were assessed, and multivariable linear regression was used to identify predictors of 6-month OHS. Results: Compared with ASA 1–2 patients, ASA 3 patients had lower preoperative OHS and longer hospital stay, but both groups showed substantial improvement over time and achieved excellent mean OHS at 6 months. In the adjusted model, higher ASA grade remained an independent negative predictor of 6-month OHS, whereas higher preoperative OHS and BMI were positive predictors. Conclusions: Despite presenting with worse baseline function and requiring longer hospitalization, ASA 3 patients experienced clinically meaningful recovery and achieved favorable 6-month outcomes after THR. Higher ASA status should therefore inform perioperative optimization rather than preclude surgery.