What are the methods for diagnosing ovarian cancer

The early symptoms of ovarian cancer are not very obvious and can be easily confused with other diseases. Some diagnosis is needed to confirm the diagnosis in order to better treat it. The common clinical diagnostic methods are as follows:

Clinical diagnosis

Since there are no typical symptoms and signs in the early stage of ovarian malignancy, it is still extremely important to take a detailed medical history and conduct a careful physical and gynecological examination. In clinical cases of long-term ovarian dysfunction, long-term unexplained digestive or urinary tract symptoms, enlarged ovaries in young girls, or palpable ovaries after menopause, etc., modern imaging examinations and other examinations should be used for diagnosis.

Ultrasound examination

B-ultrasound scanning is the preferred screening diagnostic technology for pelvic tumors. It can show the location, size and texture of pelvic masses, whether they are cystic or solid. If there are obvious nipple protrusions and involvement of adjacent organs, it may indicate a malignant tumor.

Cytological diagnosis

Ovarian cancer complicated with ascites can be diagnosed by ascites puncture. Although the positive rate of posterior vaginal fornix smear for cancer cells is not high, it is completely harmless to the patient and is therefore a diagnostic method.

Laparoscopy

Under direct endoscopy, an early and accurate diagnosis can be made, and the nature and infiltration range of the tumor can be determined, staging can be assisted, and the effect of chemotherapy can be observed, etc., which has certain value in prognosis and treatment.

Radioimmunoassay

The research on radionuclide-labeled monoclonal antibodies is a kind of antibody against tumor and its related antigens labeled with radionuclide, which is used as biological missile and tumor positive imaging agent. It is called tumor immunoimaging diagnostic technology and is a new technology for localization diagnosis of ovarian cancer in recent years.