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MRI evaluation of early aggressiveness of low grade central chondrosarcoma in long bones / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 895-898, 2019.
Article in Chinese | WPRIM | ID: wpr-861341
ABSTRACT

Objective:

To explore the diagnostic value of MRI in evaluating early aggressiveness of low grade central chondrosarcoma in long bones.

Methods:

Data of 11 patients with histopathologically proved WHO grade central chondrosarcoma in long bones were reviewed. All patients underwent conventional MRI within 2 weeks before operation. MRI findings of intracortical and intramedullary infiltration of chondrosarcoma were observed. Compared with surgical pathology, Kappa test was used to evaluate the consistency of MRI with pathology in diagnosis of early invasiveness of chondrosarcoma. The sensitivity, specificity and accuracy of MRI in diagnosis of intracortical and intramedullary infiltration of chondrosarcoma were calculated.

Results:

MRI showed 9 cases of chondrosarcoma with intracortical infiltration, among them 6 cases showed different degrees of scallop-like depression in the inner bone cortex, 3 cases had different forms of worm-like destruction in the inner bone cortex. Four cases of intramedullary infiltration showed blurred tumor edges and abnormal signals in the bone marrow around the tumors. MRI diagnosis of early aggressiveness of intramedullary and intracortical infiltration had good consistency with histopathological findings (Kappa=0.441, 0.621, both P<0.05). The sensitivity of MRI in diagnosis of intracortical and intramedullary infiltration was 90.00% (9/10) and 60.00% (3/5), specificity was 100% (1/1) and 83.33% (5/6), accuracy was 90.91% (10/11) and 72.73% (8/11), respectively.

Conclusion:

MRI plays an important role in detecting early aggressiveness of central chondrosarcoma in long bones.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article