ChemoFx-assisted chemotherapy reduces treatment costs for recurrent ovarian cancer

A study demonstrating the cost savings realized through the use of the ChemoFx® Drug Response Marker for assisting selection of treatment in recurrent ovarian cancer was published recently in the American Journal of Obstetrics and Gynecology (AJOG).

This economic analysis of recurrent ovarian cancer patients studied the direct costs of chemotherapy for three groups; empiric, assay-assisted, and assay-adherent. This study demonstrated that ChemoFx®-assisted chemotherapy may result in substantially reduced costs compared with empiric therapy.

The publication, titled, "Impact of a Chemoresponse Assay on Treatment Costs for Recurrent Ovarian Cancer," evaluated the net cost savings associated with the use of the ChemoFx® drug response marker to aid therapeutic decisions in the setting of recurrent ovarian cancer, and reveals a possible cost savings of $15,600 to $24,800.  

"In this tough economic time it is exciting to see cost savings resulting from the personalized information provided by ChemoFx® for cancer patients, physicians and the health care system," said Sean McDonald, CEO of Precision Therapeutics.  

Source:

Precision Therapeutics, Inc.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study shows AI can predict prognosis in triple-negative breast cancer