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DOI 10.1097/rlu.0000000000000481

Медицинская библиотека · Clinical nuclear medicine · 2014

Correlation between PET/CT parameters and KRAS expression in colorectal cancer.

Chen Shang-Wen, Chiang Hua-Che, Chen William Tzu-Liang, Hsieh Te-Chun, Yen Kuo-Yang, Chiang Shu-Fen, Kao Chia-Hung

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

PURPOSE: The objective of this study was to correlate the association between mutated KRAS and wild-type colorectal cancer (CRC) by using various F-FDG PET-related parameters.

METHODS

One hundred twenty-one CRC patients who had undergone preoperative PET/CT were included in this study. Several PET/CT-related parameters, including SUVmax and various thresholds of metabolic tumor volume, total lesion glycolysis, and PET/CT-based tumor width, were measured. Tumor- and PET/CT-related parameters were correlated with genomic expression between KRAS mutant and wild-type groups, using a Mann-Whitney U test and logistic regression analysis.

RESULTS

Colorectal cancer tumors with a mutated KRAS exhibited higher SUVmax and an increased accumulation of FDG among several threshold methods. Multivariate analysis showed that SUVmax and using a 40% threshold level for maximal uptake of TW (TW40%) were the 2 predictors of KRAS mutations. The odds ratio was 1.23 for SUVmax (P = 0.02; 95% confidence interval, 1.01-1.52) and 1.15 for TW40% (P = 0.02; 95% confidence interval, 1.02-1.30). The accuracy of SUVmax for predicting mutated KRAS was higher in patients with colon or sigmoid colon cancers, whereas it was TW40% in those with rectal cancers.

CONCLUSIONS

SUVmax and TW40% were associated in CRC with KRAS mutations. PET/CT parameters can supplement genomic analysis to determine KRAS expression in CRC.

Для цитирования: Chen Shang-Wen, Chiang Hua-Che, Chen William Tzu-Liang, Hsieh Te-Chun, Yen Kuo-Yang, Chiang Shu-Fen, Kao Chia-Hung. Correlation between PET/CT parameters and KRAS expression in colorectal cancer.. Clinical nuclear medicine. 2014. DOI: 10.1097/rlu.0000000000000481.

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