29 July 2022>: Database Analysis
A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules
Shuwen Wang 1ABCDEF , Leilei Zhou 1CD , Xiaoran Li 2BD , Jie Tang 3BD , Jing Wu 1AB , Xindao Yin 1CDFG , Yu-Chen Chen 1ACDEFG* , Lingquan Lu 1ACDEFG*DOI: 10.12659/MSM.936830
Med Sci Monit 2022; 28:e936830
Table 2 Characteristics of solid nodules in the lung.
Malignant nodules (n=127) | Benign nodules (n=83) | P value | |
---|---|---|---|
0.078 | |||
Male | 67 (52.8) | 54 (65.1) | |
Female | 60 (47.2) | 29 (34.9) | |
65.17±8.09 | 62.31±11.6 | 0.053 | |
0.172 | |||
Left upper lobe | 30 (23.6) | 25 (30.1) | |
Left lower lobe | 19 (15.0) | 11 (13.3) | |
Left mixed | 2 (1.6) | 0 | |
Right upper lobe | 36 (28.3) | 26 (31.3) | |
Right middle lobe | 9 (7.1) | 0 | |
Right lower lobe | 27 (21.3) | 21 (25.3) | |
Right mixed | 4 (3.1) | 0 | |
* | |||
Absent | 29 (22.8) | 47 (56.6) | |
Present | 98 (77.2) | 36 (43.4) | |
* | |||
Absent | 15 (11.8) | 43 (51.8) | |
Present | 112 (88.2) | 40 (48.2) | |
0.904 | |||
6–10 | 11 (8.7) | 8 (9.6) | |
11–30 | 75 (59.1) | 52 (62.6) | |
>30 | 41 (32.3) | 23 (27.7) | |
26.65 (7–100) | 24.36 (6–67) | ||
/ | |||
ADC | 104 (81.9) | ||
SCC | 23 (18.1) | ||
OP | 3 (3.6) | ||
TB | 41 (49.4) | ||
PCP | 13 (15.6) | ||
IPT | 6 (7.2) | ||
Granuloma | 20 (24.1) | ||
ADC – adenocarcinoma; SCC – squamous cell carcinoma; OP – organizing pneumonia; TB – tuberculosis; PCP – pulmonary cryptococcosis; IPT – inflammatory pseudotumor; Granulomas – histopathology-confirmed granulomas but unknown to the specific disease. * |