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Медицинская библиотека · Zhonghua yi xue za zhi · 2013

[Application of apparent diffusion coefficient ratio in the diagnosis of bladder cancer grading pre-operation].

Zhou Guo-xing, Wang Yi-bin, Hao Nan-xin, Wu Ying-wei, Zhu Jing-qi, Wang Bo, Wang Zhong-qiu, Tao Xiao-feng

Аннотация на английскомСтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

To explore the value of apparent diffusion coefficient (ADC) ratio in the diagnosis of bladder cancer pre-operation by analyzing its differences among different grades of bladder cancer.

METHODS

A total of 52 cases of bladder cancer were all definitely diagnosed with histological results.Routine examinations of magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) were performed preoperatively on each patient. ADC map was constructed in work station and ADC values of tumor and internal obturator muscle were measured (b = 800 s/mm(2)).Ratio of ADC was calculated with internal obturator muscle as reference site. Then the relationship between ADC ratio and bladder cancer grade was analyzed.

RESULTS

Mean ratio of ADC of all tumors was 0.98±0.35, G1 (1.12±0.21) and G2 (0.67±0.29), the sensitivity and specificity of ADC ratio was 90.2% and 85.3% respectively with an optimal threshold of 0.96. The ratios of ADC of low-grade group were significantly higher than those of high-grade group while the values of non-muscle-invasive group were significantly higher than those of muscle-invasive group. The ratios of ADC of tumor were inversely associated with the malignancy degree of bladder cancer (r = -0.845, P < 0.05).

CONCLUSION

The ratio of ADC of bladder cancer reflects the lesion tissue properties. And its measurement plays an important role in the diagnosis of bladder cancer grading pre-operation.

Для цитирования: Zhou Guo-xing, Wang Yi-bin, Hao Nan-xin, Wu Ying-wei, Zhu Jing-qi, Wang Bo, Wang Zhong-qiu, Tao Xiao-feng. [Application of apparent diffusion coefficient ratio in the diagnosis of bladder cancer grading pre-operation].. Zhonghua yi xue za zhi. 2013.

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