Men who have had treatment for early stage testicular cancer could benefit from fewer monitoring scans, freeing them from some of the harmful radiation that comes from computerized tomography (CT) ...

Testicular cancer is a cancer that starts in the testis. The majority (95%) of testicular cancers are germ cell tumours. Treatment for testicular cancer is highly effective, with 5-year overall ...

Women with a type of ovarian cancer known as germ cell tumors have a worse prognosis than men with similar tumors (i.e., testicular cancer). After five years with the disease, 98% of men were ...

Testicular cancer accounts for less than 1% of all cancers in the U.S. with a relative five-year survival rate of 95% ...

Credit: Calicut Medical College via Wikimedia. Licensed under the Creative Commons Attribution-Share Alike 4.0 International license. Almost half of the risk of developing testicular cancer comes from ...

Cancer tried to zap my will to live and taught me to learn about time. After being diagnosed, I realized that I had to make the most of each day.

So it's essential that when you do a testicular self-exam that you get used to understanding what you're like. It's like women with a breast exams. You learn the lumps and bumps. Down there the ...

Risk appears to be elevated particularly among frequent and/or long-term users SEATTLE — February 9 — Frequent and/or long-term marijuana use may significantly increase a man's risk of developing the ...

“Testicular cancer is much easier to detect if you’re in the habit of examining your testicles once a week or fortnightly ...

Yes, Medicare plans can provide coverage for treatment and services relating to testicular cancer. This will typically include surgery, chemotherapy, and radiation. Out-of-pocket expenses usually ...

What better way to celebrate the home release of the biggest live-action movie of 2024 than for Deadpool (Ryan Reynolds) to educate the home viewers on Testicular Cancer Awareness month in an ...

Harvard Medical School unveils an AI digital pathology tool that outperforms state-of-the-art deep learning methods, ...