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• Clinical Article •
Prediction of collapse with MRI signs and necrosis volume measurement for non-traumatic osteonecrosis of femoral head
ZHANG Meng-meng  RU Xiao-shuang  FAN Hong-yu  ZHANG Qing  WU Jianlin 

DOI:10.12015/issn.1674-8034.2017.04.011.


[Abstract] Objective: To investigate the clinical value of prediction of collapse in non-traumatic femoral head necrosis and based on the MRI signs and necrotic volume percentages.Materials and Methods: Fifty-six patients (76 hips) were diagnosed as non-traumatic femoral head necrosis without collapse at affiliated Zhongshan Hospital of Dalian University since September 2010 to November 2012. The X-ray examination and MRI scan were performed at the first time examination and follow-up. According to the X-ray image to determine whether collapse or not, divided into collapse group (31 hips) and non-collapse group (45 hips). The bone marrow edema, joint effusion, location of necrotic lesions necrotic morphology and signal feature was analyzed in MRI of the first time examination, and the each quadrant volume and percentage of the femoral head necrosis was measured. By Logistic regression analysis, the risk factors were concluded, and the sensitivity and specificity was determined by ROC curve (receiver operating characteristic curve).Results: There is no significant difference in routine T1 or T2 weighted imaging between the three group. The ADC values of bilateral midfrontal gyrus and superior temporal gyrus cortex significantly increased in groups Ⅰ and Ⅱ compared to groups Ⅲ (P<0.05). The duration of disease positively correlated with ADC values of the right midfrontal gyrus in group Ⅰ and Ⅱ .Conclusion: The accuracy of prediction of collapse in patients with femoral head necrosis can be effectively improved by using the MRI feature and the measurement of the necrotic volume.
[Keywords] Femur head necrosis；Magnetic resonance imaging；Collapse；Necrosis volume measurement

ZHANG Meng-meng Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116011, China; Department of Radiology, 302 Military Hospital of China, Beijing 100039, China

RU Xiao-shuang Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116011, China; Department of Radiology, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian 116033, China

FAN Hong-yu Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116011, China

ZHANG Qing Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116011, China

WU Jianlin* Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116011, China

*Correspondence to: Wu JL, E-mail: cjr.wujianlin@vip.163.com

Conflicts of interest   None.

Received  2016-05-30
Accepted  2016-12-10
DOI: 10.12015/issn.1674-8034.2017.04.011
DOI:10.12015/issn.1674-8034.2017.04.011.

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