Researchers use ultrasound to predict ovarian cancer. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 03 / 220322122822.htm. Radiological Society of North America.

Discover how a new ultrasound test can detect 96% of ovarian tumors in postmenopausal women, outperforming the UK's current standard of care.

A Kolkata teacher beats Stage IV ovarian cancer with advanced surgery, genetic testing, and targeted therapy—while inspiring ...

Most accurate ultrasound test could detect 96% of women with ovarian cancer. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 09 / 240930212848.htm ...

While ovarian cancer is known as the 'silent killer' due to its vague symptoms, it's essential to be aware of the signs - ...

Dr. Claire Thompson, a Consultant Gynaecological Oncologist at the Mater Misericordiae University Hospital and Rotunda ...

Sundar, S., et al. (2024). Risk-prediction models in postmenopausal patients with symptoms of suspected ovarian cancer in the UK (ROCkeTS): a multicentre, prospective diagnostic accuracy study.

LONDON — The most accurate ultrasound test can detect 96% of ovarian cancers in postmenopausal women, new research suggests. The findings indicate that the test should replace the current ...

The two tests used most often to detect ovarian cancer are a transvaginal ultrasound (which looks at a woman’s uterus, fallopian tubes, and ovaries by putting an ultrasound wand into her vagina ...

Using their ultrasound-based approach, they assessed 970 isolated adnexal lesions in 878 women, most of whom were in their late 30s or early 40s and considered to be at average risk of ovarian cancer.

OAK BROOK, Ill. – The appearance of ovarian lesions on ultrasound is an effective predictor of cancer risk that can help women avoid unnecessary surgery, according to a new study published in ...

Most accurate ultrasound test ‘can detect 96% of women with ovarian cancer’ A new study compared all the tests that are currently available to diagnose the condition.