|
Relationship between MRI imaging characteristics and serum markers CEA, CA199, CA125 levels in ovarian cancer patients
|
X. Lu   , S. Xie , D. Mou , M. Peng |
| Department of Gynecology, The First People's Hospital of Zunyi, Zunyi, China , xsy419848977@163.com |
|
|
Abstract: (33 Views) |
Background: To investigate the correlation between magnetic resonance imaging (MRI) imaging characteristics and serum markers carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), and carbohydrate antigen 125 (CA125) levels in ovarian cancer patients. Materials and Methods: A retrospective analysis of 85 patients with ovarian cancer diagnosed by postoperative pathological results in our hospital was carried out. MRI imaging data and hematological indexes of patients were collected to analyze the relationship between imaging characteristics of ovarian cancer patients and serum CEA, CA199, CA125 levels. Results: The main morphology of ovarian cancer was irregular, with solid lesions and visible septal changes and wall nodules. After enhancement, the septal or parietal nodules also significantly enhanced, accompanied by abdominal effusion, peritoneal metastasis, and lymph node metastasis. Serum CEA (66.33±6.54) g/ml, CA199 (185.03±20.71) U/ml, CA125 (224.62±23.82) U/ml. The results of univariate analysis showed that patients with ovarian cancer wall nodules, peritoneal metastasis, and lymph node metastasis had statistically significant differences in serum CEA, CA199, and CA125 concentrations (P<0.05). Pearson's results showed that wall nodules, peritoneal metastasis, and lymph node metastasis were positively correlated with serum CEA, CA199, and CA125 levels, respectively (P<0.05). Conclusion: Ovarian cancer MRI has certain characteristics related to CEA, CA199, CA125 concentrations, which can be used to diagnose the prognosis of ovarian cancer. |
|
| Keywords: Ovarian cancer, magnetic resonance imaging, serum tumor markers, lymph node metastasis. |
|
|
Full-Text [PDF 1030 kb]
(16 Downloads)
|
|
Type of Study: Case Report |
Subject:
Radiation Biology
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
