1.Mechanical Failure in Distraction Osteogenesis Using the Intramedullary Skeletal Kinetic Distractor.
Yunseok LEE ; Banghyun KIM ; Donghoon LEE
The Journal of the Korean Orthopaedic Association 2014;49(2):172-176
In an effort to overcome the drawbacks of distraction osteogenesis using the Ilizarov external fixator, intramedullary lengthening devices have been developed and applied for long bone distraction osteogenesis. Several successful cases have been reported, leading to the next generation of distraction osteogenesis. However, intramedullary lengthening devices have their own problems, such as device failure, difficulty of control of the lengthening degree. The authors report on a case of device failure during distraction osteogenesis using ISKD(R) (Orthofix Inc.) in the distraction phase, and the strategy that involved switching to a lengthening over nail system, which uses the Ilizarov external fixator, in order to obtain the target length.
Equipment Failure
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Equipment Failure Analysis
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External Fixators
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Osteogenesis, Distraction*
2.Determination of ovarian transposition through prediction of postoperative adjuvant therapy in young patients with early stage cervical cancer undergoing surgery: a Korean multicenter retrospective study (KGOG 1042)
Woo Yeon HWANG ; Chel Hun CHOI ; Kidong KIM ; Moon-Hong KIM ; Myong Cheol LIM ; Banghyun LEE ; Myounghwan KIM ; Yun Hwan KIM ; Seok Ju SEONG ; Jong-Min LEE
Obstetrics & Gynecology Science 2024;67(3):296-303
Objective:
We aimed to predict the risk of postoperative adjuvant therapy using preoperative variables in young patients with early stage cervical cancer. The predicted risk can guide whether ovarian transposition should be performed during surgery.
Methods:
In total, 886 patients with stage IB1-IIA cervical cancer aged 20-45 years who underwent modified radical or radical hysterectomy between January 2000 and December 2008 were included. Preoperative variables, preoperative laboratory findings, International Federation of Gynaecology and Obstetrics stage, tumor size, and pathological variables were collected. Patients with high risk factors or those who met the Sedlis criteria were considered adjuvant therapy risk (+); others were considered adjuvant therapy risk (-). A decision-tree model using preoperative variables was constructed to predict the risk of adjuvant therapy.
Results:
Of 886 patients, 362 were adjuvant therapy risk (+) (40.9%). The decision-tree model with four distinct adjuvant therapy risks using tumor size and age were generated. Specifically, patients with tumor size ≤2.45 cm had low risk (49/367; 13.4%), those with tumor size ≤3.85 cm and >2.45 cm had moderate risk (136/314; 43.3%), those with tumor size >3.85 cm and age ≤39.5 years had high risk (92/109; 84.4%), and those with tumor size >3.85 cm and age >39.5 years had the highest risk (85/96; 88.5%).
Conclusion
The risk of postoperative adjuvant therapy in young patients with early stage cervical cancer can be predicted using preoperative variables. We can decide whether ovarian transposition should be performed using the predicted risk.