Study on value of ultrasonic elastography in diagnosis of clinical staging of cervical cancer and efficacy evaluation of radiotherapy

Zhang, Yingying; Yan, Yuanyuan; Yang, Yuejie

doi:10.3892/ol.2019.10190

Cited by 6 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this kind of population, most cervical lesions will subside naturally with the clearance of infection. The body's immunosuppression can increase the risk of HPV infection, such as immune system defect AIDS [ 5 , 6 ]. There is a close relationship between HPV and cervical cancer.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia

Sun

Shan

Dong

et al. 2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

The aim of this research was to study the application of ultrasonic elastography combined with human papilloma virus (HPV) detection based on bilateral filter intelligent denoising algorithm in the diagnosis of cervical intraepithelial neoplasia (CIN) and provide a theoretical basis for clinical diagnosis and treatment of CIN. In this study, 100 patients with cervical lesions were selected as research objects and randomly divided into control group and experimental group, with 50 cases in each group. Patients in control group and experimental group were diagnosed by ultrasonic elastography combined with HPV detection. The experimental group used the optimized image map of bilateral filter intelligent denoising algorithm for denoising and optimization, while the control group did not use optimization, and the differences between them were analyzed and compared. The diagnostic effects of the two groups were compared. As a result, the three accuracy rates of the experimental group were 95%, 95%, and 98%, respectively; the three sensitivity rates were 96%, 92%, and 94%, respectively; and the three specificity rates were 99%, 97%, and 98%, respectively. In the control group, the three accuracy rates were 84%, 86%, and 84%, respectively; the three sensitivity rates were 88%, 84%, and 86%, respectively; and the three specificity rates were 81%, 83%, and 88%, respectively. The accuracy, sensitivity, and specificity of experiment group were significantly higher than those of control group, and the difference was statistically significant ( P < 0.05 ). In summary, the bilateral filter intelligent denoising algorithm has a good denoising effect on the ultrasonic elastography. The ultrasonic image processed by the algorithm combined with HPV detection has a better diagnosis of CIN.

show abstract

Section: Introductionmentioning

confidence: 99%

Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia

Sun

Shan

Dong

et al. 2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…The Cs means were 2.05 ± 0.77 m/s (endometrium) while 2.82 ± 0.77 m/s(myometrium) Lesions of the uterus 2022 Pongpunprut et al [ 33 ] NM = 25, UF = 25, AM = 25 SWE Prospective cross-Sectional Study Cs mean The Cs differed between NM and AM ( p = 0.019) with the cut-off point at 3.465 m/s and 80% sensitivity, 80% specificity, and AUC of 0.80 (95% CI 0.68–0.93) ( p < 0.001). SWE could not differentiate AM from UF or UF from NM 2021 Görgülü et al [ 34 ] UF = 98, AM = 37 NM = 40 SWE, SE and MRI ADC Retrospectively case–control study SR mean, SR max, ADC values, Cs mean, and Cs max SE, SWE, and MRI ADC could be useful in differentiating UF and AM ( p < 0.001 for all three), and none of these methods were statistically superior to each other in differentiating the UF from the AM ( p < 0.001) 2019 Zhang et al [ 49 ] NM = 16, UF = 12, AM = 6 SWE Prospective case–control study Cs mean Cs mean in NM was 4.861.9 m/s, compared with 4.962.5 m/s in AM and 5.662.5 m/s in UF ( p = 0.34). SWV for AM and UF did not differ significantly ( p = 0.40) 2018 Bildaci et al [ 29 ] AM = 28, NM = 62 vitro ARFI Prospective case–control study Cs mean The Cs mean of AM (4.22 ± 1.62 m/s) showed a significant difference compared to that of NM (3.22 ± 0.90 m/s) ( p < 0.01) 2018 Stoelinga et al [ 30 ] NM = 10, UF = 10, AM = 10 SE Prospective diagnostic study Uterine volume for AM and fibroid volume for AF The sensitivity of SE in the diagnosis of UF and AM was 82% and 91%, and the specificity was 95% and 97% with high inter-observer and inter-method agreement 2018 <...…”

Section: Normal Myometrium Uterine Fibroids and Adenomyosismentioning

confidence: 99%

“…Radiotherapy was used for patients confirmed as CC75 in 160 suspected CC patients. The results demonstrated that SE has a certain clinical value in the diagnosis and efficacy evaluation of CC, and its sensitivity (94.67%), specificity (92.94%), and diagnostic accordance rate (93.75%) [ 49 ]. In 2021, Shao et al conducted a systematic review of the UE application in CC and concluded that both SE and SWE might have important roles in the differential diagnosis of CC, assessment of the degree of invasion, clinical staging, and early evaluation of treatment effects [ 50 ].…”

Section: Cervical Tumorsmentioning

confidence: 99%

Advances in the clinical application of ultrasound elastography in uterine imaging

Wang

Lin

2022

Insights Imaging

View full text Add to dashboard Cite

Changes in tissue stiffness by physiological or pathological factors in tissue structure are identified earlier than their clinical features. Pathological processes such as uterine fibrosis, adenomyosis, endometrial lesions, infertility, and premature birth can manifest as tissue elasticity changes. In clinical settings, elastography techniques based on ultrasonography, optical coherence tomography, and magnetic resonance imaging are widely used for noninvasive measurement of mechanical properties in patients, providing valuable tool and information for diagnosis and treatment. Ultrasound elastography (USE) plays a critical role in obstetrics and gynecology clinical work because of its simplicity, non-invasiveness, and repeatability. This article reviews the recent progress of USE in uterine tumor diagnosis (especially early diagnosis and treatment effect evaluation), prediction of preterm birth, and intrauterine insemination. We believe that USE, especially shear wave elastography, may serve as a potential means to assess tissue stiffness, thereby improving the diagnosis and treatment of adenomyosis, fibroids, endometrial lesions, cervical cancer, and precise management of preterm birth and intrauterine insemination monitoring.

show abstract

“…Cervical cancer is the fifth most common malignant tumor in women, and it is also one of the most common causes of cancer deaths in women, especially in underdeveloped countries [1][2][3]. e treatment of cervical cancer and after surgery mainly depends on the tumor stage [4,5].…”

Section: Introductionmentioning

confidence: 99%

The Value of Three-Dimensional Tomographic Ultrasound Imaging under Backpropagation Algorithm in the Local Staging Diagnosis of Cervical Cancer

Zhang

Tian

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

Based on three-dimensional tomographic ultrasound imaging (TUI) of the backpropagation algorithm, this study evaluated the consistency of three-dimensional TUI technology, pelvic examination, and magnetic resonance imaging (MRI) technology in the local staging diagnosis of cervical cancer, aiming to explore the application value of TUI technology in local staging diagnosis of cervical cancer. The backpropagation algorithm was adopted to segment images, and 35 patients who were confirmed to be cervical cancer by tissue biopsy were included in this study. All selected patients underwent transvaginal TUI examination and pelvic MRI examination. Then, the 2010 Federation Internationale of Gynecologie and Obstetrigue (FIGO) was adopted to determine the clinical stage, and the K index and the percentage of consistency were calculated to evaluate the consistency between TUI and MRI. Comparison of tumor size measurements showed that obvious correlation could be found between MRI and three-dimensional TUI (r = 0.842; P < 0.001), MRI, and clinical examination (r = 0.654; P < 0.001) to the assessment of tumor size. In terms of parauterine invasion, there was a moderate consistency between pelvic examination and MRI (K = 0.413; 95% confidential interval (CI) = 0.085–0.762; the overall coincidence rate (OCR) = 78.0%), and there was good consistency between three-dimensional TUI and MRI (K = 0.655, 95% CI = 0.335–0.949; overall coincidence rate = 87.8%). In terms of vaginal infiltration, pelvic examination and MRI showed moderate consistency (K = 0.434; 95% CI = 0.119–0.733; the OCR = 74.2%), and three-dimensional TUI examination and MRI showed excellent consistency (K = 0.568, 95% CI = 0.274–0.881; the OCR = 81.9%). The accuracy of the backpropagation segmentation algorithm was 82%. The results revealed that the three-dimensional TUI technology and MRI showed a good consistency in assessing parauterine invasion of cervical cancer. When the tumor size was evaluated, there was a clear correlation between three-dimensional TUI scans and MRI. Therefore, three-dimensional TUI technology showed relatively high application value for the local stage of cervical cancer.

show abstract

Study on value of ultrasonic elastography in diagnosis of clinical staging of cervical cancer and efficacy evaluation of radiotherapy

Cited by 6 publications

References 21 publications

Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia

Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia

Advances in the clinical application of ultrasound elastography in uterine imaging

The Value of Three-Dimensional Tomographic Ultrasound Imaging under Backpropagation Algorithm in the Local Staging Diagnosis of Cervical Cancer

Contact Info

Product

Resources

About