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http://cmuir.cmu.ac.th/jspui/handle/6653943832/52287
Title: | Detection of recurrence in a surveillance program for epithelial ovarian cancer |
Authors: | Prapaporn Suprasert Wadwilai Chalapati |
Authors: | Prapaporn Suprasert Wadwilai Chalapati |
Keywords: | Biochemistry, Genetics and Molecular Biology;Medicine |
Issue Date: | 1-Jan-2013 |
Abstract: | Ovarian cancer patients need a surveillance program for the detection of tumor progression after completion of treatment. The methods generally consist of history taking, physical examination, tumor marker monitoring and imaging. However, the details of recurrence detection with each method are not well defined. To clarify this issue, ovarian cancer patients who achieved complete or partial responses and developed tumor progression at the follow up time between January 2004 and December 2010 in University Hospital Chiang Mai, Thailand, were reviewed. Clinical data, CA 125 level and imaging results at the tumor progression time were recorded and analyzed. There were 144 ovarian cancer patients meeting the inclusion criteria with the mean age of 51 years and 62.5% of them were in an advanced stage. Complete response was achieved in 89 patients (61.8%) after primary treatment. The median progression free survival and overall survival were 15.5 months and 37.5 months, respectively. Abnormal symptoms presented in 49.3% of the studied patients and 59.7% developed physical examination abnormalities. In addition, CA 125 was elevated in 89.6% while in 74.3% of tumor progression was identified by CT-scan. Short treatment time period and a high level of CA 125 were significant independent prognostic factors in these patients. In conclusion, careful history taking, physical examination and monitoring of CA 125 levels are important methods for tumor progression detection in a surveillance program for epithelial ovarian cancer patients. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893376383&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52287 |
ISSN: | 2476762X 15137368 |
Appears in Collections: | CMUL: Journal Articles |
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