OBJECTIVE: To determine parameters of perfusion, distribution coefficient, and glucose metabolism as part of the tumour-specific micromilieu of breast cancer and compare them with corresponding values in normal breast tissue. METHODS: H2(15)O PET and 18F-FDG PET were performed on 10 patients with advanced invasive ductal carcinomas of the breast. Perfusion, distribution coefficient, and glucose metabolism and standardized uptake were quantified and analysed. RESULTS: Mean values based on the regions of interest were 59.2+/-43.9 ml x min(-1) x 100 g(-1) (perfusion), 0.58+/-0.26 ml x g(-1) (distribution coefficient), 7.76+/-6.10 (standardized uptake), and 5.4+/-2.5 mg x min(-1) x 100 g(-1) (glucose metabolism). The corresponding values for normal breast tissue were 22.1+/-13.2 ml x min x 100 g(-1) (perfusion), 0.16+/-0.05 ml x g(-1) (distribution coefficient), 0.33+/-0.07 (standardized uptake), and 0.18+/-0.08 mg x min x 100 g(-1) (glucose metabolism). For each tumour-normal tissue parameter pair, the mean values were significantly higher in tumours than normal breast tissue. Region-of-interest and pixel-wise correlation analysis revealed a positive association between glucose metabolism and distribution coefficient and glucose metabolism and perfusion for 7/10 tumours investigated. CONCLUSIONS: H2(15)O PET and 18F-FDG PET were able to differentiate breast cancer and normal breast tissue. The pixel-wise analysis revealed information about the heterogeneity of tumour fine structure in perfusion, distribution coefficient, and glucose metabolism, which may provide important guidelines for improving individual treatment.
OBJECTIVE: To determine parameters of perfusion, distribution coefficient, and glucose metabolism as part of the tumour-specific micromilieu of breast cancer and compare them with corresponding values in normal breast tissue. METHODS:H2(15)O PET and 18F-FDG PET were performed on 10 patients with advanced invasive ductal carcinomas of the breast. Perfusion, distribution coefficient, and glucose metabolism and standardized uptake were quantified and analysed. RESULTS: Mean values based on the regions of interest were 59.2+/-43.9 ml x min(-1) x 100 g(-1) (perfusion), 0.58+/-0.26 ml x g(-1) (distribution coefficient), 7.76+/-6.10 (standardized uptake), and 5.4+/-2.5 mg x min(-1) x 100 g(-1) (glucose metabolism). The corresponding values for normal breast tissue were 22.1+/-13.2 ml x min x 100 g(-1) (perfusion), 0.16+/-0.05 ml x g(-1) (distribution coefficient), 0.33+/-0.07 (standardized uptake), and 0.18+/-0.08 mg x min x 100 g(-1) (glucose metabolism). For each tumour-normal tissue parameter pair, the mean values were significantly higher in tumours than normal breast tissue. Region-of-interest and pixel-wise correlation analysis revealed a positive association between glucose metabolism and distribution coefficient and glucose metabolism and perfusion for 7/10 tumours investigated. CONCLUSIONS:H2(15)O PET and 18F-FDG PET were able to differentiate breast cancer and normal breast tissue. The pixel-wise analysis revealed information about the heterogeneity of tumour fine structure in perfusion, distribution coefficient, and glucose metabolism, which may provide important guidelines for improving individual treatment.
Authors: Ashley M Groves; Gordon C Wishart; Manu Shastry; Penelope Moyle; Sharon Iddles; Peter Britton; Mathew Gaskarth; Ruth M Warren; Peter J Ell; Kenneth A Miles Journal: Eur J Nucl Med Mol Imaging Date: 2008-09-26 Impact factor: 9.236
Authors: Leonidas Georgiou; Nisha Sharma; David A Broadbent; Daniel J Wilson; Barbara J Dall; Anmol Gangi; David L Buckley Journal: Magn Reson Med Date: 2017-04-03 Impact factor: 4.668
Authors: Regine Choe; Mary E Putt; Peter M Carlile; Turgut Durduran; Joseph M Giammarco; David R Busch; Ki Won Jung; Brian J Czerniecki; Julia Tchou; Michael D Feldman; Carolyn Mies; Mark A Rosen; Mitchell D Schnall; Angela DeMichele; Arjun G Yodh Journal: PLoS One Date: 2014-06-26 Impact factor: 3.240