ISSN: 0970-938X (Print) | 0976-1683 (Electronic)

Biomedical Research

An International Journal of Medical Sciences

Abstract

Comparison of application value between CEUS and conventional ultrasound in preoperative and staging diagnosis of cervical cancer

Objective: To compare application value between Contrast-Enhanced Ultrasound (CEUS) and conventional ultrasound in preoperative and staging diagnosis of cervical cancer patients.

Methods: CEUS and conventional ultrasound were used respectively for preoperative diagnosis of 126 cases of cervical cancer collected from our Hospital. A comparison was made for lesion sizes and ranges of cervical cancer as well as diagnostic results of different stages achieved through the two diagnostic methods. In this study, all the operations were approved by the hospital's ethics committee.

Results: The cervical cancer lesion area (2328.18 ± 1153.06 mm2), cervical cancer lesion long diameter (51.09 ± 13.25 mm), and cervical cancer lesion anteroposterior diameter (42.56 ± 13.29 mm) displayed through CEUS were significantly better than the cervical cancer lesion area (1667.69 ± 943.34 mm2), cervical cancer lesion long diameter (44.49 ± 13.42 mm), and cervical cancer lesion anteroposterior diameter (36.06 ± 13.47 mm) through conventional ultrasound , which was statistically significant (P<0.05); the detection rates of stage I cervical cancer (85.18%) and stage II cervical cancer (92.98%) and the total detection rate (93.65%) achieved by CEUS were greatly superior to those of stage I (0.00%) and stage II (36.84%) and the total detection rate (50.00%) by conventional ultrasound , which was statistically significant (P <0.05); while comparison of stage III and stage IV detection rates was statistically insignificant (P >0.05).

Conclusion: Compared with conventional ultrasound, CEUS is more valuable in preoperative and staging diagnosis of cervical cancer patients as it can show lesion locations more clearly and has higher detection rates.

Author(s): Liu Lixia, Li Jianhui, Zang Aimin, Ma Tao, Wang Ping, Liu Bin
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