Featured Research

from universities, journals, and other organizations

Forecasting Cancer Recurrence With New Computer Model

Date:
August 4, 2009
Source:
American Institute of Physics
Summary:
Two people with the same kind of cancer who receive the exact same treatment may nevertheless have different chances of their tumors coming back years later. Now a team of scientists has developed a computer model that predicts cancer recurrence in an individual based on how her tumor changes size in response to the first rounds of radiation therapy.

Two people with the same kind of cancer who receive the exact same treatment may nevertheless have different chances of their tumors coming back years later. Now a team of scientists has developed a computer model that predicts cancer recurrence in an individual based on how her tumor changes size in response to the first rounds of radiation therapy.

Related Articles


The team, headed by Jian Z. Wang, director of the Radiation Response Modeling Program at the James Cancer Hospital and Solove Research Institute of Ohio State University in Columbus, will present the findings at the 51st Annual Meeting of the American Association of Physicists in Medicine (AAPM) in Anaheim, California. The leading author, Zhibin Huang, has been selected as this meeting's winner of the Jack Fowler Junior Investigator's Competition.

Huang and colleagues at Ohio State University studied 80 women with cervical cancer who were diagnosed with tumors ranging from the size of a marble to the size of a grapefruit. Each woman was treated with a course of radiation therapy -- beams of energy that destroyed the cancerous cells in her pelvis. After few weeks of radiation treatment, the volume of each shrinking tumor was measured using an MRI scanner.

By fitting a mathematical model to this data, Huang calculated two things important for understanding how the tumors were responding to the radiotherapy: the fraction of cancerous cells that survived each of the daily radiation treatments and the amount of time it took each woman's body to clear away and flush out those cells that were destroyed. The two properties vary from individual to individual and from tumor to tumor.

These numbers could be used to predict whether or not a woman's cervical cancer would come back years after her treatments. If each daily radiation treatment annihilated at least 70 percent of a tumor, a woman had a 30 percent better chance of avoiding recurrence than an individual with a more resistant tumor.

Similarly, women whose bodies took longer than 22 days to clear out dead cells after each treatment were almost twice as likely to see their tumors reappear down the road.

The results, presented at this year's AAPM meeting, suggest that not all cervical cancers are the same. To improve treatment, said Wang, patients should be grouped based on whether their tumors are radioresistant or radiosensitive.

Other kinds of cancer could also benefit from this approach, says Nina A. Mayr, a professor of radiation oncology at the Ohio State University James Cancer Hospital and Solove Research Institute. "Using similar techniques, ongoing projects from our group are tackling other cancer sites, such as lung and prostate cancer."

The talk, "Outcome Prediction of Cervical Cancer: Kinetic Model of Tumor Regression During Radiation Therapy," will be given on July 28.

This study was supported by an NIH R01 grant to Dr. Mayr.


Story Source:

The above story is based on materials provided by American Institute of Physics. Note: Materials may be edited for content and length.


Cite This Page:

American Institute of Physics. "Forecasting Cancer Recurrence With New Computer Model." ScienceDaily. ScienceDaily, 4 August 2009. <www.sciencedaily.com/releases/2009/07/090728132235.htm>.
American Institute of Physics. (2009, August 4). Forecasting Cancer Recurrence With New Computer Model. ScienceDaily. Retrieved December 20, 2014 from www.sciencedaily.com/releases/2009/07/090728132235.htm
American Institute of Physics. "Forecasting Cancer Recurrence With New Computer Model." ScienceDaily. www.sciencedaily.com/releases/2009/07/090728132235.htm (accessed December 20, 2014).

Share This


More From ScienceDaily



More Health & Medicine News

Saturday, December 20, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

The Best Tips to Curb Holiday Carbs

The Best Tips to Curb Holiday Carbs

Buzz60 (Dec. 19, 2014) It's hard to resist those delicious but fattening carbs we all crave during the winter months, but there are some ways to stay satisfied without consuming the extra calories. Vanessa Freeman (@VanessaFreeTV) has the details. Video provided by Buzz60
Powered by NewsLook.com
Sierra Leone Bikers Spread the Message to Fight Ebola

Sierra Leone Bikers Spread the Message to Fight Ebola

AFP (Dec. 19, 2014) More than 100 motorcyclists hit the road to spread awareness messages about Ebola. Nearly 7,000 people have now died from the virus, almost all of them in west Africa, according to the World Health Organization. Video provided by AFP
Powered by NewsLook.com
Researchers Test Colombian Village With High Alzheimer's Rates

Researchers Test Colombian Village With High Alzheimer's Rates

AFP (Dec. 19, 2014) In Yarumal, a village in N. Colombia, Alzheimer's has ravaged a disproportionately large number of families. A genetic "curse" that may pave the way for research on how to treat the disease that claims a new victim every four seconds. Duration: 02:42 Video provided by AFP
Powered by NewsLook.com
The Best Protein-Filled Foods to Energize You for the New Year

The Best Protein-Filled Foods to Energize You for the New Year

Buzz60 (Dec. 19, 2014) The new year is coming and nothing will energize you more for 2015 than protein-filled foods. Fitness and nutrition expert John Basedow (@JohnBasedow) gives his favorite high protein foods that will help you build muscle, lose fat and have endless energy. Video provided by Buzz60
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins