Document Detail


Predicting tumor response after preoperative chemoradiation using clinical parameters in rectal cancer.
MedLine Citation:
PMID:  22219601     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
AIM: To evaluate the clinical parameters and identify a better method of predicting pathological complete response (pCR).
METHODS: We enrolled 249 patients from a database of 544 consecutive rectal cancer patients who underwent surgical resection after preoperative chemoradiation therapy (PCRT). A retrospective review of morphological characteristics was then performed to collect data regarding rectal examination findings. A scoring model to predict pCR was then created. To validate the ability of the scoring model to predict complete regression.
RESULTS: Seventy patients (12.9%) achieved a pCR. A multivariate analysis found that pre-CRT movability (P = 0.024), post-CRT size (P = 0.018), post-CRT morphology (P = 0.023), and gross change (P = 0.009) were independent predictors of pCR. The accuracy of the scoring model was 76.8% for predicting pCR with the threshold set at 4.5. In the validation set, the accuracy was 86.7%.
CONCLUSION: Gross changes and morphological findings are important predictors of pathological response. Accordingly, PCRT response is best predicted by a combination of clinical, laboratory and metabolic information.
Authors:
Chan Ho Park; Hee Cheol Kim; Yong Beom Cho; Seong Hyeon Yun; Woo Yong Lee; Young Suk Park; Doo Ho Choi; Ho-Kyung Chun
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  World journal of gastroenterology : WJG     Volume:  17     ISSN:  1007-9327     ISO Abbreviation:  World J. Gastroenterol.     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2012-01-05     Completed Date:  2012-03-02     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  100883448     Medline TA:  World J Gastroenterol     Country:  China    
Other Details:
Languages:  eng     Pagination:  5310-6     Citation Subset:  IM    
Affiliation:
Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-dong 50, Gangnam-gu, Seoul 135-710, South Korea.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Area Under Curve
Chemoradiotherapy / methods*
Female
Humans
Male
Middle Aged
Multivariate Analysis
Rectal Neoplasms / drug therapy*,  pathology*,  radiotherapy*,  surgery
Retrospective Studies
Treatment Outcome
Young Adult
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