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  • 标题:The Value of Three-Dimensional Tomographic Ultrasound Imaging under Backpropagation Algorithm in the Local Staging Diagnosis of Cervical Cancer
  • 本地全文:下载
  • 作者:Chenjie Li ; Ziwen Zhang ; Yingying Tian
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2022
  • 卷号:2022
  • DOI:10.1155/2022/7017580
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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.
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