Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

Liu, Chenlu; Ma, Changsheng; Duan, Jinghao; Qiu, Qingtao; Guo, Yanluan; Zhang, Zhenhua; Yin, Yong

doi:10.1186/s12880-020-00475-2

BMC Medical Imaging

Table 4 Statistical parameters differentiating between peripheral lung cancer and PIPT

From: Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

Feature	Peripheral Lung Cancer		PIPT		AUC	Confidence Interval (%)	Sensitivity(%)	Specificity(%)	Cutoff-Value	Youden-Index
Feature	IQR	median	IQR	median	AUC	Confidence Interval (%)	Sensitivity(%)	Specificity(%)	Cutoff-Value	Youden-Index
F1	0.0429	0.7334	0.0874	0.7913	0.730	55.74 ~ 90.29	80.95	76.19	0.7657	0.5714
F2	0.1056	0.6783	0.1218	0.7846	0.726	56.02 ~ 89.11	80.95	66.67	0.7401	0.4762
F3	0.1399	0.0738	0.1480	0.2719	0.800	69.04 ~ 96.94	90.00	70.59	0.2047	0.6059
F4	0.1889	−0.0284	0.2054	0.1434	0.806	71.76 ~ 97.85	88.89	68.75	0.0246	0.5764
F5	0.1965	0.2102	0.1405	0.3946	0.774	61.64 ~ 0.9306	90.48	65.00	0.3589	0.5548
F6	0.1370	0.0223	0.1438	0.1954	0.754	61.65 ~ 93.45	84.21	72.22	0.1234	0.5643
F7	0.1467	−0.0576	0.2119	0.410	0.718	58.29 ~ 91.37	73.68	76.47	−0.0316	0.5015
Mean1	0.1500	0.2280	0.1403	0.4112	0.800	77.01 ~ 98.50	95.24	71.43	0.3512	0.6667
Mean2	0.1647	0.1211	0.1504	0.2990	0.753	58.75 ~ 91.82	85.71	76.19	0.1855	0.6190
Mean3	0.1372	0.2362	0.1453	0.3776	0.751	58.65 ~ 91.46	90.48	61.90	0.3055	0.5238
F8	0.0436	−0.3821	0.1112	−0.4560	0.726	55.63 ~ 89.49	95.24	57.14	−0.4461	0.5238
F9	0.0409	−0.2944	0.1154	0.3496	0.878	77.01 ~ 98.50	80.95	90.48	−0.3106	0.7143
F10	0.0506	−0.3605	0.0892	−0.4266	0.864	75.06 ~ 97.73	71.43	100.00	−0.3813	0.7143
F11	0.0389	−0.2849	0.1490	−0.3602	0.723	55.99 ~ 88.68	95.24	52,38	−0.3602	0.4762
Mean4	0.0329	−0.3328	0.0751	−0.3978	0.841	71.78 ~ 96.48	90.48	76.19	−0.3624	0.6667
F12	0.0428	0.8997	0.0692	0.9302	0.780	63.75 ~ 92.26	85.71	66.67	0.9175	0.5238
F13	0.0190	0.9330	0.0450	0.9623	0.739	58.18 ~ 89.66	85.71	66.71	0.9567	0.5238
F14	0.0378	0.8930	0.0788	0.9202	0.717	55.49 ~ 87.82	71.43	71.43	0.8975	0.4286
Mean5	0.0244	0.9065	0.0625	0.9419	0.751	60.00 ~ 90.12	85.71	61.91	0.9252	0.4762
F15	115	346	189	494	0.717	54.55 ~ 88.36	76.19	71.43	400.0000	0.4762
F16	0.1460	0.5928	0.4127	0.2817	0.785	63.38 ~ 93.54	95.24	71.43	0.3259	0.6667
F17	0.1063	0.3569	0.2001	0.2136	0.739	58.48 ~ 89.37	85.71	57.14	0.2454	0.4286
F18	0.0953	1.1904	0.5439	1.5253	0.785	63.38 ~ 93.54	95.24	71.43	1.3783	0.6667
F10	0.0680	0.8400	0.2671	0.6556	0.785	63.38 ~ 93.54	95.24	71.43	0.6882	0.6667
F20	1.7698	2.9145	5.3141	4.5316	0.710	54.38 ~ 87.57	66.67	76.19	2.9718	0.4286

Note: F1-GLCM-333-1-correlation, F2-CLCM-45-1-correlation, F4-GLCM-45-4-corr-elation, F6-GLCM-45-7 correlation, F6-GLCM-90-7-correlation, F7-CLCM-135-7-correlation, F8-GLCM-0-1-information-measure corr1, F9-GLCM-45-1-information measure corr1, F10-GLCM-90–1-information measure corr1, F11-GLC-M-135-1-information measure corr1, F12-GLCM-45-1-information measure corr2, F13-IGLCM-information measure-90–1-information corr2, F14-GLCM-135-1-information corr2, F15-IH-range, F16-shape-compactness2, F17-shape-roundness, F19-shape-sphericity, F20-shape-surface area density, mean1-mean(F2+ … … + F4), mean2-mean(F5+ … … F6), mean3-mean(F1+ … … F7), mean4-mean(F8+ … … F11), mean5-mean(F12+ … … + F14)

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