Vaginal cancer is a rare type of cancer that develops in the cells of the vagina. It is most commonly seen in women who are over the age of 60, although younger women may also be diagnosed with it. The most common symptom of vaginal cancer is abnormal bleeding from the vagina, which can range from a small amount of spotting to heavy bleeding. Other symptoms may include a vaginal discharge that is foul-smelling, pain during intercourse, and a general feeling of discomfort in the pelvic area. The cause of vaginal cancer is not well-understood, but certain risk factors have been identified. These include smoking, a history of cervical cancer, exposure to the human papillomavirus (HPV), a weakened immune system, and a history of genital warts. Diagnosis of vaginal cancer typically begins with a physical exam and a Pap smear to look for abnormal cells. Further testing, such as a pelvic exam, lab tests, and imaging tests, may be recommended if cancer is suspected. Treatment for vaginal cancer typically includes surgery to remove the cancerous cells, radiation therapy, and chemotherapy. It is important to note that the treatment plan will depend on the type and stage of the cancer. As with all cancers, early diagnosis is key to successful treatment. Women should be aware of the symptoms of vaginal cancer and seek medical attention if any of them are present. It is also important to get regular Pap smears, as recommended by a doctor, to screen for any abnormal cells in the vagina.
Title : Male factors in recurrent pregnancy loss
Nicoletta Di Simone, Humanitas University Milan, Italy
Title : Application of thread technology in aesthetic and functional gynecology
Marlen Sulamanidze, Plastic Surgeon, Georgia
Title : Pulmonary embolism in pregnancy
Irene Eirini Orfanoudaki, University Hospital, Heraklion, Greece
Title : Understanding pelvic organ prolapse
Woojin Chong, NYU Langone Medical Center, United States
Title : Vaginal colonization by uropathogenic microorganisms: A key contributor to reproductive failure in mice
Vijay Prabha, Panjab University, India
Title : Role of artificial intelligence in the diagnosis and management of endometriosis. The prospect of the future
Mohamed M Hosni, London North West University Healthcare NHS Trust, United Kingdom