Skip to main content

Analysis and Evaluation of Ultrasound Imaging Features and Pathological Results of Ovarian Cancer

Buy Article:

$107.14 + tax (Refund Policy)

To compare and analyze the relationship between the characteristics of ultrasound images of ovarian cancer and the results of postoperative pathological examination. A retrospective analysis of 206 patients with suspected ovarian cancer confirmed by surgical pathology was taken as the research object. The location, size, morphology, partition and wall nodules, cystic solidity, and signal characteristics of the tumor were observed and compared with the results of postoperative pathological examination evaluation and analysis to improve the early clinical diagnosis of ovarian cancer patients. By regression analysis of the histological examination of patients with ovarian tumors of different ages and the proportion of cox postoperative recurrence risk regression models, 154 of 206 ovarian tumor patients were ovarian cancer. There were significant differences in pathological types, lesion locations, maximum diameter lengths, and internal echo in patients with ovarian malignant tumors at different ages (p < 0.05). Ultrasound of ovarian cancer shows that the tumor has large tumor body, strong echo, cyst wall has protrusions, and peripheral and internal blood flow that is mainly high-speed and low-resistance. The sensitivity, specificity, and accuracy of ultrasound for ovarian cancer diagnosis are 84.38%, 66.67%, 81.01%. The accuracy, specificity, and sensitivity of early diagnosis of clinical ovarian cancer patients by ultrasound imaging features provide sufficient imaging evidence to further promote the clinical judgment of benign and malignant tumors, which is beneficial to doctors’ clinical treatment of ovarian cancer patients. The early diagnosis and the higher clinical value were shown.

Keywords: Differential Diagnosis; Imaging Features; Ovarian Cancer; Pathology; Ultrasonography

Document Type: Research Article

Affiliations: 1: Department of Radiology, Ultrasound Division, The Second Hospital of Shandong University, Jinan 250033, Shandong, China 2: Department of Nuclear Medicine, The Second Hospital of Shandong University, Jinan 250033, Shandong, China 3: Department of Radiology, The Second Hospital of Shandong University, Jinan 250033, Shandong, China 4: Department of Radiology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China

Publication date: 01 March 2021

More about this publication?
  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content