Table 2.

Univariable analyses

This workMehrabian et al.
ParameterRNTPWelch’s 2-sample t-testUnivariable logistic regressionRNTPUnivariable logistic regression
Median value [IQR]P-valueP-valueAUCAICMedian value [IQR]P-valueAUCAIC
MTRAmide,0.625µT12.8 [3.1] %12.6 [3.9] %.939.9390.51188.29.0 [0.9] %7.3 [1.4] %<.00010.8772.8
MTRAmide,2.5µT53.3 [8.4] %55.1 [7.9] %.973.9740.51188.248.2 [2.2] %42.2 [5.1] %<.00010.8867.3
MTRNOE,0.625µT14.4 [3.8] %14.0 [3.6] %.424.4520.55187.610.2 [1.4] %8.3 [1.6] %<.00010.8278.4
MTRNOE,2.5µT52.3 [8.9] %52.4 [8.3] %.744.7510.53188.146.5 [2.7] %41.2 [5.0] %<.00010.8377.9
MTRAsym,0.625µT−1.6 [0.94] %−1.3 [0.69] %.029.0680.63184.7−1.2 [1.3] %−1.0 [1.2] %.700.52105
MTRAsym,2.5µT1.8 [1.3] %2.1 [0.9] %.319.4020.61187.51.7 [1.5] %1.2 [2.0] %.230.58103
 T11.95 [0.49] s1.92 [0.42] s.083.1060.56185.51.77 [0.19] s1.94 [0.32] s.010.6998.3
 T2179 [82] ms162 [88] ms.433.4100.55187.5114 [26] ms140 [34] ms<.0010.7492.0
R·M0B / RA0.8 [0.5]0.8 [0.4].707.6360.46188.01.4 [0.2]1.2 [0.3].0090.6697.6
1 / (RA·T2A)5.9 [2.7]6.5 [2.9].030.0240.60182.829 [4]26 [6].0050.7396.6
AREXAmide,0.625µT0.040 [0.019] s-10.040 [0.025] s-1.250.2500.55186.82.1 [0.6] s-11.5 [0.9] s-10.0020.8194.7
AREXAmide,2.5µT0.23 [0.13] s−10.25 [0.15] s−1.948.9480.51188.27.6 [3.2] s15.8 [2.7] s1.010.6898.3
AREXNOE,0.625µT0.052 [0.020] s−10.041 [0.024] s−1.874.8780.51188.12.8 [1.2] s12.0 [0.7] s1<.0010.7291.7
AREXNOE,2.5µT0.19 [0.13] s−10.22 [0.12] s−1.670.6840.50188.05.5 [2.5] s−14.6 [2.0] s−1.090.62102.1
rCBV1.6 [1.3]1.7 [1.6]N/AN/AN/AN/AN/AN/AN/AN/AN/A
After application of PCA to MTR and AREX parameters:
MTRPC1N/AN/A.922.9290.48188.1N/AN/AN/AN/AN/A
MTRPC2N/AN/A.251.2960.57187.1N/AN/AN/AN/AN/A
AREXPC1N/AN/A.066.0980.56185.3N/AN/AN/AN/AN/A
AREXPC2N/AN/A.051.0540.62184.2N/AN/AN/AN/AN/A
This workMehrabian et al.
ParameterRNTPWelch’s 2-sample t-testUnivariable logistic regressionRNTPUnivariable logistic regression
Median value [IQR]P-valueP-valueAUCAICMedian value [IQR]P-valueAUCAIC
MTRAmide,0.625µT12.8 [3.1] %12.6 [3.9] %.939.9390.51188.29.0 [0.9] %7.3 [1.4] %<.00010.8772.8
MTRAmide,2.5µT53.3 [8.4] %55.1 [7.9] %.973.9740.51188.248.2 [2.2] %42.2 [5.1] %<.00010.8867.3
MTRNOE,0.625µT14.4 [3.8] %14.0 [3.6] %.424.4520.55187.610.2 [1.4] %8.3 [1.6] %<.00010.8278.4
MTRNOE,2.5µT52.3 [8.9] %52.4 [8.3] %.744.7510.53188.146.5 [2.7] %41.2 [5.0] %<.00010.8377.9
MTRAsym,0.625µT−1.6 [0.94] %−1.3 [0.69] %.029.0680.63184.7−1.2 [1.3] %−1.0 [1.2] %.700.52105
MTRAsym,2.5µT1.8 [1.3] %2.1 [0.9] %.319.4020.61187.51.7 [1.5] %1.2 [2.0] %.230.58103
 T11.95 [0.49] s1.92 [0.42] s.083.1060.56185.51.77 [0.19] s1.94 [0.32] s.010.6998.3
 T2179 [82] ms162 [88] ms.433.4100.55187.5114 [26] ms140 [34] ms<.0010.7492.0
R·M0B / RA0.8 [0.5]0.8 [0.4].707.6360.46188.01.4 [0.2]1.2 [0.3].0090.6697.6
1 / (RA·T2A)5.9 [2.7]6.5 [2.9].030.0240.60182.829 [4]26 [6].0050.7396.6
AREXAmide,0.625µT0.040 [0.019] s-10.040 [0.025] s-1.250.2500.55186.82.1 [0.6] s-11.5 [0.9] s-10.0020.8194.7
AREXAmide,2.5µT0.23 [0.13] s−10.25 [0.15] s−1.948.9480.51188.27.6 [3.2] s15.8 [2.7] s1.010.6898.3
AREXNOE,0.625µT0.052 [0.020] s−10.041 [0.024] s−1.874.8780.51188.12.8 [1.2] s12.0 [0.7] s1<.0010.7291.7
AREXNOE,2.5µT0.19 [0.13] s−10.22 [0.12] s−1.670.6840.50188.05.5 [2.5] s−14.6 [2.0] s−1.090.62102.1
rCBV1.6 [1.3]1.7 [1.6]N/AN/AN/AN/AN/AN/AN/AN/AN/A
After application of PCA to MTR and AREX parameters:
MTRPC1N/AN/A.922.9290.48188.1N/AN/AN/AN/AN/A
MTRPC2N/AN/A.251.2960.57187.1N/AN/AN/AN/AN/A
AREXPC1N/AN/A.066.0980.56185.3N/AN/AN/AN/AN/A
AREXPC2N/AN/A.051.0540.62184.2N/AN/AN/AN/AN/A

The median and interquartile ranges are shown for the radiation necrosis (RN) and tumor progression (TP) cohorts for each parameter. Welch’s 2-sample t-test was computed for each parameter. Univariable logistic regression was performed where the area under the receiver-operating characteristic curve (AUC) and Akaike information criterion (AIC) were obtained for each parameter. The values from Mehrabian et al.24 are also shown to allow for direct comparison of the results. Values with P-values below .05 are bolded.

Table 2.

Univariable analyses

This workMehrabian et al.
ParameterRNTPWelch’s 2-sample t-testUnivariable logistic regressionRNTPUnivariable logistic regression
Median value [IQR]P-valueP-valueAUCAICMedian value [IQR]P-valueAUCAIC
MTRAmide,0.625µT12.8 [3.1] %12.6 [3.9] %.939.9390.51188.29.0 [0.9] %7.3 [1.4] %<.00010.8772.8
MTRAmide,2.5µT53.3 [8.4] %55.1 [7.9] %.973.9740.51188.248.2 [2.2] %42.2 [5.1] %<.00010.8867.3
MTRNOE,0.625µT14.4 [3.8] %14.0 [3.6] %.424.4520.55187.610.2 [1.4] %8.3 [1.6] %<.00010.8278.4
MTRNOE,2.5µT52.3 [8.9] %52.4 [8.3] %.744.7510.53188.146.5 [2.7] %41.2 [5.0] %<.00010.8377.9
MTRAsym,0.625µT−1.6 [0.94] %−1.3 [0.69] %.029.0680.63184.7−1.2 [1.3] %−1.0 [1.2] %.700.52105
MTRAsym,2.5µT1.8 [1.3] %2.1 [0.9] %.319.4020.61187.51.7 [1.5] %1.2 [2.0] %.230.58103
 T11.95 [0.49] s1.92 [0.42] s.083.1060.56185.51.77 [0.19] s1.94 [0.32] s.010.6998.3
 T2179 [82] ms162 [88] ms.433.4100.55187.5114 [26] ms140 [34] ms<.0010.7492.0
R·M0B / RA0.8 [0.5]0.8 [0.4].707.6360.46188.01.4 [0.2]1.2 [0.3].0090.6697.6
1 / (RA·T2A)5.9 [2.7]6.5 [2.9].030.0240.60182.829 [4]26 [6].0050.7396.6
AREXAmide,0.625µT0.040 [0.019] s-10.040 [0.025] s-1.250.2500.55186.82.1 [0.6] s-11.5 [0.9] s-10.0020.8194.7
AREXAmide,2.5µT0.23 [0.13] s−10.25 [0.15] s−1.948.9480.51188.27.6 [3.2] s15.8 [2.7] s1.010.6898.3
AREXNOE,0.625µT0.052 [0.020] s−10.041 [0.024] s−1.874.8780.51188.12.8 [1.2] s12.0 [0.7] s1<.0010.7291.7
AREXNOE,2.5µT0.19 [0.13] s−10.22 [0.12] s−1.670.6840.50188.05.5 [2.5] s−14.6 [2.0] s−1.090.62102.1
rCBV1.6 [1.3]1.7 [1.6]N/AN/AN/AN/AN/AN/AN/AN/AN/A
After application of PCA to MTR and AREX parameters:
MTRPC1N/AN/A.922.9290.48188.1N/AN/AN/AN/AN/A
MTRPC2N/AN/A.251.2960.57187.1N/AN/AN/AN/AN/A
AREXPC1N/AN/A.066.0980.56185.3N/AN/AN/AN/AN/A
AREXPC2N/AN/A.051.0540.62184.2N/AN/AN/AN/AN/A
This workMehrabian et al.
ParameterRNTPWelch’s 2-sample t-testUnivariable logistic regressionRNTPUnivariable logistic regression
Median value [IQR]P-valueP-valueAUCAICMedian value [IQR]P-valueAUCAIC
MTRAmide,0.625µT12.8 [3.1] %12.6 [3.9] %.939.9390.51188.29.0 [0.9] %7.3 [1.4] %<.00010.8772.8
MTRAmide,2.5µT53.3 [8.4] %55.1 [7.9] %.973.9740.51188.248.2 [2.2] %42.2 [5.1] %<.00010.8867.3
MTRNOE,0.625µT14.4 [3.8] %14.0 [3.6] %.424.4520.55187.610.2 [1.4] %8.3 [1.6] %<.00010.8278.4
MTRNOE,2.5µT52.3 [8.9] %52.4 [8.3] %.744.7510.53188.146.5 [2.7] %41.2 [5.0] %<.00010.8377.9
MTRAsym,0.625µT−1.6 [0.94] %−1.3 [0.69] %.029.0680.63184.7−1.2 [1.3] %−1.0 [1.2] %.700.52105
MTRAsym,2.5µT1.8 [1.3] %2.1 [0.9] %.319.4020.61187.51.7 [1.5] %1.2 [2.0] %.230.58103
 T11.95 [0.49] s1.92 [0.42] s.083.1060.56185.51.77 [0.19] s1.94 [0.32] s.010.6998.3
 T2179 [82] ms162 [88] ms.433.4100.55187.5114 [26] ms140 [34] ms<.0010.7492.0
R·M0B / RA0.8 [0.5]0.8 [0.4].707.6360.46188.01.4 [0.2]1.2 [0.3].0090.6697.6
1 / (RA·T2A)5.9 [2.7]6.5 [2.9].030.0240.60182.829 [4]26 [6].0050.7396.6
AREXAmide,0.625µT0.040 [0.019] s-10.040 [0.025] s-1.250.2500.55186.82.1 [0.6] s-11.5 [0.9] s-10.0020.8194.7
AREXAmide,2.5µT0.23 [0.13] s−10.25 [0.15] s−1.948.9480.51188.27.6 [3.2] s15.8 [2.7] s1.010.6898.3
AREXNOE,0.625µT0.052 [0.020] s−10.041 [0.024] s−1.874.8780.51188.12.8 [1.2] s12.0 [0.7] s1<.0010.7291.7
AREXNOE,2.5µT0.19 [0.13] s−10.22 [0.12] s−1.670.6840.50188.05.5 [2.5] s−14.6 [2.0] s−1.090.62102.1
rCBV1.6 [1.3]1.7 [1.6]N/AN/AN/AN/AN/AN/AN/AN/AN/A
After application of PCA to MTR and AREX parameters:
MTRPC1N/AN/A.922.9290.48188.1N/AN/AN/AN/AN/A
MTRPC2N/AN/A.251.2960.57187.1N/AN/AN/AN/AN/A
AREXPC1N/AN/A.066.0980.56185.3N/AN/AN/AN/AN/A
AREXPC2N/AN/A.051.0540.62184.2N/AN/AN/AN/AN/A

The median and interquartile ranges are shown for the radiation necrosis (RN) and tumor progression (TP) cohorts for each parameter. Welch’s 2-sample t-test was computed for each parameter. Univariable logistic regression was performed where the area under the receiver-operating characteristic curve (AUC) and Akaike information criterion (AIC) were obtained for each parameter. The values from Mehrabian et al.24 are also shown to allow for direct comparison of the results. Values with P-values below .05 are bolded.

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