Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?

EJNMMI Physics

Table 5 Semi-quantitative results for PPMI database

Method number	Method	SBRs	Accuracy	SD	Sensitivity	SD	Specificity	SD
SQ 1	Mean − 2SD	L + R putamen	0.93	0.03	0.92	0.04	0.97	0.04
SQ 2	Mean − 2SD	L + R putamen, L + R caudate	0.93	0.03	0.92	0.04	0.96	0.04
SQ 3	Mean − 1.5SD	L + R putamen	0.94	0.03	0.95	0.03	0.92	0.06
SQ 4	Mean − 1.5SD	L + R putamen, L + R caudate	0.94	0.03	0.95	0.03	0.90	0.07
SQ 5	Mean − 1SD	L + R putamen	0.92	0.03	0.98	0.02	0.78	0.09
SQ 6	Mean − 1SD	L + R putamen, L + R caudate	0.89	0.04	0.98	0.02	0.71	0.11
SQ 7	Minimum	L + R putamen	0.90	0.04	0.87	0.05	0.96	0.04
SQ 8	Minimum	L + R putamen, L + R caudate	0.90	0.03	0.88	0.05	0.94	0.05
SQ 9	Regression − 2SE	L + R putamen	0.93	0.03	0.91	0.04	0.97	0.04
SQ 10	Regression − 2SE	L + R putamen, L + R caudate	0.93	0.03	0.91	0.04	0.97	0.04
SQ 11	Regression − 1.5SE	L + R putamen	0.94	0.03	0.95	0.03	0.92	0.05
SQ 12	Regression − 1.5SE	L + R putamen, L + R caudate	0.94	0.03	0.95	0.03	0.90	0.07
SQ 13	Regression − 1SE	L + R putamen	0.92	0.03	0.98	0.02	0.80	0.08
SQ 14	Regression − 1SE	L + R putamen, L + R caudate	0.89	0.04	0.98	0.02	0.71	0.11
SQ 15	ROC age-matched	Lowest putamen	0.94	0.03	0.96	0.03	0.91	0.07
SQ 16	ROC age-matched	Lowest putamen, lowest caudate	0.89	0.03	0.97	0.03	0.73	0.09
SQ 17	ROC	Lowest putamen	0.95	0.03	0.96	0.03	0.92	0.06
SQ 18	ROC	Lowest putamen, lowest caudate	0.89	0.03	0.97	0.03	0.71	0.10