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Management and Outcomes of Suspected Infectious and Inflammatory Lung Abnormalities Identified on Lung Cancer Screening CT.
Mendoza, Dexter P; Chintanapakdee, Wariya; Zhang, Eric W; Gilman, Matthew D; Lennes, Inga T; Frank, Angela J; Shepard, Jo-Anne O; Digumarthy, Subba R.
Afiliación
  • Mendoza DP; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Founders 202, Boston, MA 02114.
  • Chintanapakdee W; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Founders 202, Boston, MA 02114.
  • Zhang EW; Department of Radiology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.
  • Gilman MD; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Founders 202, Boston, MA 02114.
  • Lennes IT; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Founders 202, Boston, MA 02114.
  • Frank AJ; Department of Medicine, Cancer Center, Massachusetts General Hospital, Boston, MA.
  • Shepard JO; Division of Pulmonary & Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA.
  • Digumarthy SR; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Founders 202, Boston, MA 02114.
AJR Am J Roentgenol ; 217(5): 1083-1092, 2021 11.
Article en En | MEDLINE | ID: mdl-33377416
ABSTRACT
BACKGROUND. Incidental findings are frequently encountered during lung cancer screening (LCS). Limited data describe the prevalence of suspected acute infectious and inflammatory lung processes on LCS and how they should be managed. OBJECTIVE. The purpose of this study was to determine the prevalence, radiologic reporting and management, and outcome of suspected infectious and inflammatory lung processes identified incidentally during LCS and to propose a management algorithm. METHODS. This retrospective study included 6314 low-dose CT (LDCT) examinations performed between June 2014 and April 2019 in 3800 patients as part of an established LCS program. Radiology reports were reviewed, and patients with potentially infectious or inflammatory lung abnormalities were identified and analyzed for descriptors of imaging findings, Lung-RADS designation, recommendations, and clinical outcomes. Using the descriptors, outcomes, and a greater than 2% threshold risk of malignancy, a follow-up algorithm was developed to decrease additional imaging without affecting cancer detection. RESULTS. A total of 331/3800 (8.7%) patients (178 men, 153 women; mean age [range], 66 [53-87] years) undergoing LCS had lung findings that were attributed to infection or inflammation. These abnormalities were reported as potentially significant findings using the S modifier in 149/331 (45.0%) and as the dominant nodule used to determine the Lung-RADS category in 96/331 (29.0%). Abnormalities were multiple or multifocal in 260/331 (78.5%). Common descriptors were ground-glass (155/331; 46.8%), tree-in-bud (56/331; 16.9%), consolidation (41/331; 12.4%), and clustered (67/331; 20.2%) opacities. A follow-up chest CT outside of screening was performed within 12 months or less in 264/331 (79.8%) and within 6 months or less in 186/331 (56.2%). A total of 260/331 (78.5%) opacities resolved on follow-up imaging. Two malignancies (2/331; 0.6%) were associated with these abnormalities and both had consolidations. Theoretic adoption of a proposed management algorithm for suspected infectious and inflammatory findings reduced unnecessary follow-up imaging by 82.6% without missing a single malignancy. CONCLUSION. Presumed acute infectious or inflammatory lung abnormalities are frequently encountered in the setting of LCS. These opacities are commonly multifocal and resolve on follow-up. Less than 1% are associated with malignancy. CLINICAL IMPACT. Adoption of a conservative management algorithm can standardize recommendations and reduce unnecessary imaging without increasing the risk of missing a malignancy.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía / Tomografía Computarizada por Rayos X / Tamizaje Masivo / Hallazgos Incidentales / Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía / Tomografía Computarizada por Rayos X / Tamizaje Masivo / Hallazgos Incidentales / Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Año: 2021 Tipo del documento: Article