Evaluation of contributors to amide proton transfer-weighted imaging and nuclear Overhauser enhancement-weighted imaging contrast in tumors at a high magnetic field.
Evaluation of contributors to amide proton transfer-weighted imaging and nuclear Overhauser enhancement-weighted imaging contrast in tumors at a high magnetic field.
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DOI:
10.1002/mrm.29675
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发表时间:
2023-08
影响因子:
3.3
通讯作者:
Zu, Zhongliang
中科院分区:
文献类型:
--
作者:
Cui, Jing;Zhao, Yu;Sun, Casey;Xu, Junzhong;Zu, Zhongliang
关键词:
The purpose is to evaluate the relative contribution from confounding factors (T1w and MT) to the chemical exchange saturation transfer ratio (CESTR) quantified APT and NOE(−3.5) in tumors as well as whether the CESTR can reflect the distribution of the solute concentration (fs). We first provided a signal model that shows the separate dependence of CESTR on these confounding factors and the clean CEST/NOE effects quantified by an apparent exchange-dependent relaxation (AREX) method. We then measured the change in these effects in the 9L tumor model in rats, through which we calculated the relative contribution of each confounding factor. fs was also fitted, and its correlations with the CESTR and AREX was assessed to evaluate their capabilities to reflect fs. The CESTR-quantified APT shows ‘positive’ contrast in tumors, which mainly arises from R1w at low powers and both R1w and MT at high powers. CESTR-quantified NOE(−3.5) shows no or weak contrast in tumors, which is due to the cancellation of R1w and NOE(−3.5) which have opposite contributions. CESTR-quantified APT has a stronger correlation with APT fs than AREX-quantified APT. CESTR-quantified NOE(−3.5) has a weaker correlation with NOE(−3.5) fs than AREX-quantified NOE(−3.5). CESTR reflects a combined effect of T1w and CEST/NOE. Both of these factors depend on fs, which contributes positively to the dependence of CESTR on fs in APT imaging and enhances its correlation with fs. In contrast, these factors have opposite contributions to its dependence on fs in NOE(−3.5) imaging, thereby weakening the correlation.
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DOI:
10.1158/1078-0432.ccr-18-1233
发表时间:
2019-01-15
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Jiang S;Eberhart CG;Lim M;Heo HY;Zhang Y;Blair L;Wen Z;Holdhoff M;Lin D;Huang P;Qin H;Quinones-Hinojosa A;Weingart JD;Barker PB;Pomper MG;Laterra J;van Zijl PCM;Blakeley JO;Zhou J
通讯作者:
Zhou J
影响因子:
3.4
作者:
O'Grady KP;Satish S;Owen QR;Box BA;Bagnato F;Combes AJE;Cook SR;Westervelt HJ;Feiler HR;Lawless RD;Sarma A;Malone SD;Ndolo JM;Yoon K;Dortch RD;Rogers BP;Smith SA
通讯作者:
Smith SA
影响因子:
3.3
作者:
Cui J;Zhao Y;Wang F;Gochberg DF;Zu Z
通讯作者:
Zu Z
影响因子:
2.9
作者:
通讯作者:
--
影响因子:
3.3
作者:
Desmond, Kimberly L.;Moosvi, Firas;Stanisz, Greg J.
通讯作者:
Stanisz, Greg J.