Pleural thickening on screening chest X-rays: a single institutional study-Reference-Cited by-同舟云学术

Pleural thickening on screening chest X-rays: a single institutional study

Published:2019-07-05 Issue:1 Volume:20 Page:
ISSN:1465-993X
Container-title:Respiratory Research
language:en
Short-container-title:Respir Res

Author:

Saito Akira^ORCID,Hakamata Yukichika,Yamada Yukiko,Sunohara Mitsuhiro,Tarui Megumi,Murano Yoko,Mitani Akihisa,Tanaka Kimie,Nagase Takahide,Yanagimoto Shintaro

Funder

Japan Society for the Promotion of Science

Takeda Science Foundation

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s12931-019-1116-9.pdf

Reference12 articles.

1. McLoud TC, Isler RJ, Novelline RA, Putman CE, Simeone J, Stark P. The apical cap. AJR Am J Roentgenol. 1981;137(2):299–306.

2. Butler C 2nd, Kleinerman J. The pulmonary apical cap. Am J Pathol. 1970;60(2):205–16.

3. Renner RR, Markarian B, Pernice NJ, Heitzman ER. The apical cap. Radiology. 1974;110(3):569–73.

4. Renner RR, Pernice NJ. The apical cap. Semin Roentgenol. 1977;12(4):299-302.

5. Yousem SA. Pulmonary apical cap: a distinctive but poorly recognized lesion in pulmonary surgical pathology. Am J Surg Pathol. 2001;25(5):679–83.

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