Skip to main content

Table 5 Cut-off, sensitivity, specificity, positive predictive value, and negative predictive value of MRI parameters (on the left side) in the detection of RRMS (compared with controls)

From: Differentiating multiple sclerosis from cerebral small vessel disease using diffusion tensor imaging and magnetic resonance spectroscopy on normally appearing thalami

 

LT FA

LT ADC

LT NAA

LT NAA/Cho

LT NAA/Cr

Cut off

 > 280

 ≤ 740

 ≤ 9.01

 ≤ 2.48

 ≤ 1.82

P-value

 < 0.001*

0.767

 < 0.001*

 < 0.001*

 < 0.001*

AUC

0.888

0.523

0.897

0.775

0.761

Sensitivity (95% CI)

83.33

(65.3–94.4)

50.0

(31.3–68.7)

86.6

(69.3–96.2)

86.67

(69.3–96.2)

66.6

(47.2–82.7)

Specificity (95% CI)

90.0

(73.5–97.9)

66.67

(47.2–82.7)

86.6

(69.3–96.2)

56.6

(37.4–74.5)

66.67

(47.2–82.7)

PPV

(95% CI)

89.3

(73.8–96.1)

60.0

(44.7–73.6)

86.7

(72.1–94.2)

66.7

(56.5–75.5)

66.7

(53.2–77.9)

NPV

(95% CI)

84.4

(70.6–92.4)

57.1

(46.2–67.4)

86.7

(72.1–94.2)

81.0

(61.8–91.8)

66.7

(53.2–77.9)

  1. *P value is considered significant at ≥ 0.05
  2. AUC Area under the curve, PPV Positive predictive value, NPV Negative predictive value, CI Confidence interval