Literature DB >> 34219780

Computed tomographic characteristics of cavitary pulmonary adenocarcinoma in 3 dogs and 2 cats.

Megan Parry1, Laura E Selmic1, Sarah Lumbrezer-Johnson1, Janis Lapsley1, Vincent A Wavreille1, Eric Hostnik1.   

Abstract

Cavitary pulmonary lesions can result from the localized breakdown of pulmonary parenchyma or be caused by the expulsion of a necrotic part of a mass. The objectives of this study were to describe the clinical and computed tomographic characteristics for cases of cavitary pulmonary adenocarcinoma and find associations between the features and those identified in human pulmonary cavitary soft tissue lesions. Five cases were identified that had a cavitary pulmonary mass on thoracic computed tomography (CT) and histopathology of the lesions. Three dogs and 2 cats had cavitary pulmonary adenocarcinoma. Common features of CT in these cases included lesions in the caudal lung lobes, lobular and spiculated lesion margins, air bronchograms within the mass, pleural tags, heterogeneous contrast enhancement, and ground glass opacity in the surrounding parenchyma. The findings of this case series suggest there are similarities in the CT characteristics of malignancy in human and animal cavitary pulmonary masses. Copyright and/or publishing rights held by the Canadian Veterinary Medical Association.

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Year:  2021        PMID: 34219780      PMCID: PMC8218952     

Source DB:  PubMed          Journal:  Can Vet J        ISSN: 0008-5286            Impact factor:   1.008


  22 in total

1.  Radiology corner: differential diagnosis of pulmonary cavitary lesions.

Authors:  C R Lamb; R Neiger
Journal:  Vet Radiol Ultrasound       Date:  2000 Jul-Aug       Impact factor: 1.363

Review 2.  Cavitary pulmonary disease.

Authors:  L Beth Gadkowski; Jason E Stout
Journal:  Clin Microbiol Rev       Date:  2008-04       Impact factor: 26.132

3.  Radiographic, computed tomographic, and ultrasonographic findings with migrating intrathoracic grass awns in dogs and cats.

Authors:  Ryan M Schultz; Allison Zwingenberger
Journal:  Vet Radiol Ultrasound       Date:  2008 May-Jun       Impact factor: 1.363

4.  Solitary lung cavities: CT findings in malignant and non-malignant disease.

Authors:  C S Nin; V V S de Souza; G R T Alves; R H do Amaral; K L Irion; E Marchiori; B Hochhegger
Journal:  Clin Radiol       Date:  2016-05-08       Impact factor: 2.350

Review 5.  Cavitary Lung Diseases: A Clinical-Radiologic Algorithmic Approach.

Authors:  Khalid Gafoor; Shalin Patel; Francis Girvin; Nishant Gupta; David Naidich; Stephen Machnicki; Kevin K Brown; Atul Mehta; Bryan Husta; Jay H Ryu; George A Sarosi; Tomás Franquet; Johny Verschakelen; Takeshi Johkoh; William Travis; Suhail Raoof
Journal:  Chest       Date:  2018-03-06       Impact factor: 9.410

6.  Prevalence of air bronchograms in small peripheral carcinomas of the lung on thin-section CT: comparison with benign tumors.

Authors:  K Kuriyama; R Tateishi; O Doi; M Higashiyama; K Kodama; E Inoue; Y Narumi; M Fujita; C Kuroda
Journal:  AJR Am J Roentgenol       Date:  1991-05       Impact factor: 3.959

7.  Computed tomographic appearance of primary lung tumors in dogs.

Authors:  Angela J Marolf; Debra S Gibbons; Brendan K Podell; Richard D Park
Journal:  Vet Radiol Ultrasound       Date:  2010-11-02       Impact factor: 1.363

8.  Computed tomographic findings in 57 cats with primary pulmonary neoplasia.

Authors:  Stacie Aarsvold; Jennifer A Reetz; Jean K Reichle; Ian D Jones; Christopher R Lamb; Maria G Evola; Michele A Keyerleber; Angela J Marolf
Journal:  Vet Radiol Ultrasound       Date:  2015-01-21       Impact factor: 1.363

Review 9.  Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology.

Authors:  Annemie Snoeckx; Pieter Reyntiens; Damien Desbuquoit; Maarten J Spinhoven; Paul E Van Schil; Jan P van Meerbeeck; Paul M Parizel
Journal:  Insights Imaging       Date:  2017-11-15

10.  Differential Diagnosis of Cavitary Lung Lesions.

Authors:  Anagha P Parkar; Panchakulasingam Kandiah
Journal:  J Belg Soc Radiol       Date:  2016-11-19       Impact factor: 1.894

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