J Cancer 2022; 13(3):793-799. doi:10.7150/jca.60413 This issue Cite

Research Paper

A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer

Qiuqing Zheng1, Chunyi Lin2, Dong Xu1✉, Huicheng Zhao1, Mei Song1, Di Ou1, Le Shi1

1. Department of ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
2. Institute of electronics and information, South China University of technology, Guangzhou, China.

Citation:
Zheng Q, Lin C, Xu D, Zhao H, Song M, Ou D, Shi L. A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer. J Cancer 2022; 13(3):793-799. doi:10.7150/jca.60413. https://www.jcancer.org/v13p0793.htm
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Abstract

Graphic abstract

Background: The level of cervical cancer screening in underdeveloped countries is far behind that of developed countries mostly because current cervical cancer screening methods are difficult to implement in underdeveloped countries. The use of non-invasive, repeatable, and low-cost ultrasound needs to be accessed.

Methods: The Canadian Sonix TOUCH ultrasound system and transvaginal ultrasound probe were used to record ultrasound radio frequency (RF) signals from cervical tissues of 69 patients with cervical cancer and 37 healthy women. The self-compiled RF time series signal analysis software was used to extract 3 different dimensions of parameters of the region of interest (ROI), including time domain, frequency domain, and fractal dimension (FD). Fourteen spectrum characteristic parameters were extracted, of which structure function method FD (SFD) and Higuchi FD belonged to FD parameters; slope, intercept, midbandfit, S1, S2, S3, and S4 were frequency domain parameters; and fuzzy entropy, kurtosis, peak, cross zero count, and cross zero standard deviation (Std) were time domain parameters.

Results: The average values of the five time-domain characteristic parameters of cervical cancer tissues were smaller than those of normal cervical tissues (fuzzy entropy: 1.70±0.29 vs. 1.83±0.20; kurtosis: 0.347±0.03 vs. 0.350±0.02; peak: 1989.9±166.8 vs. 2024.69±187.5; cross zero count: 3.77±0.31 vs. 3.81±0.29; cross zero Std: 1.26±0.17 vs. 1.33±0.14), although the differences were not statistically significant (P = 0.130, 0.326, 0.618, 0.442, and 0.204, respectively). The average values ​​of the two FD characteristic parameters and the seven frequency domain characteristic parameters of cervical cancer tissues were larger than those of normal tissues (SFD: 1.84±0.28 vs. 1.46±0.39; Higuchi FD: 1.71±0.30 vs. 1.28±0.30; slope: -0.32±0.08 vs. -0.26±0.05; intercept: 0.48±0.02 vs. 0.46±0.02; midbandfit: 0.35±0.03 vs. 0.33±0.03; S1: 15.66±1.01 vs. 13.57±1.69; S2: 10.12±0.69 vs. 9.32±1.27; S3: 9.44±1.12 vs. 8.66±1.09; S4: 7.67±1.01 vs. 6.43±0.65), and the differences were statistically significant (P < 0.05). No effective parameters were found to identify cervical squamous cell carcinoma tissues with different levels of differentiation (P > 0.05).

Conclusion: Quantitative analysis of RF time series signals based on ultrasound RF flow is expected to become a simple and non-invasive imaging method for cervical cancer diagnosis. However, whether it can be applied to the identification of early small cervical cancer lesions remains to be determined.

Keywords: tissue typing, ultrasound, radio frequency time series signal, cervical cancer


Citation styles

APA
Zheng, Q., Lin, C., Xu, D., Zhao, H., Song, M., Ou, D., Shi, L. (2022). A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer. Journal of Cancer, 13(3), 793-799. https://doi.org/10.7150/jca.60413.

ACS
Zheng, Q.; Lin, C.; Xu, D.; Zhao, H.; Song, M.; Ou, D.; Shi, L. A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer. J. Cancer 2022, 13 (3), 793-799. DOI: 10.7150/jca.60413.

NLM
Zheng Q, Lin C, Xu D, Zhao H, Song M, Ou D, Shi L. A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer. J Cancer 2022; 13(3):793-799. doi:10.7150/jca.60413. https://www.jcancer.org/v13p0793.htm

CSE
Zheng Q, Lin C, Xu D, Zhao H, Song M, Ou D, Shi L. 2022. A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer. J Cancer. 13(3):793-799.

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