Logo Medical Science Monitor

Call: +1.631.470.9640
Mon - Fri 10:00 am - 02:00 pm EST

Contact Us

Logo Medical Science Monitor Logo Medical Science Monitor Logo Medical Science Monitor

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
 Male67 (52.8)54 (65.1)
 Female60 (47.2)29 (34.9)
65.17±8.0962.31±11.60.053
0.172
 Left upper lobe30 (23.6)25 (30.1)
 Left lower lobe19 (15.0)11 (13.3)
 Left mixed2 (1.6)0
 Right upper lobe36 (28.3)26 (31.3)
 Right middle lobe9 (7.1)0
 Right lower lobe27 (21.3)21 (25.3)
 Right mixed4 (3.1)0
*
 Absent29 (22.8)47 (56.6)
 Present98 (77.2)36 (43.4)
*
 Absent15 (11.8)43 (51.8)
 Present112 (88.2)40 (48.2)
0.904
 6–1011 (8.7)8 (9.6)
 11–3075 (59.1)52 (62.6)
 >3041 (32.3)23 (27.7)
26.65 (7–100)24.36 (6–67)
/
 ADC104 (81.9)
 SCC23 (18.1)
 OP3 (3.6)
 TB41 (49.4)
 PCP13 (15.6)
 IPT6 (7.2)
 Granuloma20 (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.
*

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750