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Table 6 Cut off, sensitivity, specificity, positive predictive value, and negative predictive value of MRI parameters (on the Rt 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

 

RT FA

RT ADC

RT NAA

RT NAA/Cho

RT NAA/Cr

Cut off

 > 276

 ≤ 756

 ≤ 9.35

 ≤ 2.3

 ≤ 1.77

P-value

 < 0.001*

0983

 < 0.001*

 < 0.001*

 < 0.001*

AUC

0.858

0.502

0.849

0.749

0.771

Sensitivity (95% CI)

96.6

(82.8–99.9)

76.67

(57.7–90.1)

80.0

(61.4–92.3)

66.6

(47.2–82.7)

63.3

(43.9–80.1)

Specificity (95% CI)

76.67

(57.7–90.1)

33.3

(17.3–52.8)

76.6

(57.7–90.1)

60.0

(40.6–77.3)

86.67

(69.3–96.2)

PPV (95% CI)

80.6

(68.3–88.8)

53.5

(45.5–61.3)

77.4

(63.6–87.0)

62.5

(50.1–73.4)

82.6

(64.7–92.5)

NPV (95% CI)

95.8

(76.8–99.4)

58.8

(38.6–76.5)

79.3

(64.6–89.0)

64.3

(50.1–76.4)

70.3

(59.1–79.4)

  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