A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

Shuwen Wang; Leilei Zhou; Xiaoran Li; Jie Tang; Jing Wu; Xindao Yin; Yu-Chen Chen; Lingquan Lu

doi:10.12659/MSM.936830

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

Authors information Article notes Copyright and License information

Background Material and Methods Results Discussion Conclusions References

Related articles Order reprints Share article Share by email

View HTML version

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
			<0.001^*
Absent	29 (22.8)	47 (56.6)
Present	98 (77.2)	36 (43.4)
			<0.001^*
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. ^*

Back to the Article

A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

Your Privacy