Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography

Rui-Yu Lin,* Fa-Jin Lv,* Bin-Jie Fu, Wang-Jia Li, Zhang-Rui Liang, Zhi-Gang Chu Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China*These authors contributed equally to this workCorrespondence: Zhi...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin RY (Author), Lv FJ (Author), Fu BJ (Author), Li WJ (Author), Liang ZR (Author), Chu ZG (Author)
Format: Book
Published: Dove Medical Press, 2021-07-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_b5d0ffbaec1d48dc9b1cae4885c33d37
042 |a dc 
100 1 0 |a Lin RY  |e author 
700 1 0 |a Lv FJ  |e author 
700 1 0 |a Fu BJ  |e author 
700 1 0 |a Li WJ  |e author 
700 1 0 |a Liang ZR  |e author 
700 1 0 |a Chu ZG  |e author 
245 0 0 |a Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography 
260 |b Dove Medical Press,   |c 2021-07-01T00:00:00Z. 
500 |a 1178-7031 
520 |a Rui-Yu Lin,&ast; Fa-Jin Lv,&ast; Bin-Jie Fu, Wang-Jia Li, Zhang-Rui Liang, Zhi-Gang Chu Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhi-Gang ChuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, 1# Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, 400016, People's Republic of ChinaTel +86 18723032809Fax +86 23 68811487Email chuzg0815@163.comPurpose: To investigate the clinical and computed tomography (CT) characteristics of absorbable pulmonary solid nodules (PSNs) and to clarify CT features for distinguishing absorbable PSNs from malignant ones.Materials and Methods: From January 2015 to February 2021, a total of 316 patients with 348 PSNs (171 absorbable and 177 size-matched malignant) were retrospectively enrolled. Their clinical and CT data were analyzed and compared to determine CT features for predicting absorbable PSNs.Results: Between absorbable and malignant PSNs, there were significant differences in patients' age, lesions' locations, shapes, homogeneity, borders, distance from the pleura, vacuoles, air bronchograms, lobulation, spiculation, halo sign, multiple concomitant nodules and pleural indentation (each P < 0.05). Multivariate analysis revealed that the independent predictors of absorbable PSNs were the following: patient age ≤ 55 years (OR, 2.660; 95% CI, 1.432- 4.942; P = 0.002), homogeneous density (OR, 2.487; 95% CI, 1.107- 5.590; P = 0.027), ill-defined border (OR, 5.445; 95% CI, 1.661- 17.846; P = 0.005), halo sign (OR, 3.135; 95% CI, 1.154- 8.513; P = 0.025), multiple concomitant nodules (OR, 8.700; 95% CI, 4.401- 17.197; P< 0.001), and abutting pleura (OR, 3.759; 95% CI, 1.407- 10.044; P = 0.008). The indicators for malignant PSNs were the following: lobulation (OR, 3.904; 95% CI, 1.956- 7.791; P< 0.001), spiculation (OR, 4.980; 95% CI, 2.202- 11.266, P< 0.001), and pleural indentation (OR, 4.514; 95% CI, 1.223- 16.666; P = 0.024).Conclusion: In patients younger than 55 years, PSNs with homogeneous density, ill-defined border, halo sign, multiple concomitant nodules, and abutting pleura should be highly suspected as absorbable ones.Keywords: solid nodule, absorbable nodule, follow-up, tomography, x-ray computed 
546 |a EN 
690 |a solid nodule 
690 |a absorbable nodule 
690 |a follow-up 
690 |a tomography 
690 |a x-ray computed 
690 |a Pathology 
690 |a RB1-214 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Journal of Inflammation Research, Vol Volume 14, Pp 2933-2939 (2021) 
787 0 |n https://www.dovepress.com/features-for-predicting-absorbable-pulmonary-solid-nodules-as-depicted-peer-reviewed-fulltext-article-JIR 
787 0 |n https://doaj.org/toc/1178-7031 
856 4 1 |u https://doaj.org/article/b5d0ffbaec1d48dc9b1cae4885c33d37  |z Connect to this object online.