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Pulmonary nodule tracking using chest computed tomography in a histoplasmosis endemic area.
Warren, Whittney A; Markert, Ronald J; Stewart, Elizabeth D.
Affiliation
  • Warren WA; Internal Medicine Residency, Boonshoft School of Medicine at WSU; Wright-Patterson Medical Center, Wright-Patterson Air Force Base. Electronic address: Whittney.Warren@gmail.com.
  • Markert RJ; Internal Medicine Residency, Boonshoft School of Medicine at WSU.
  • Stewart ED; Wright-Patterson Medical Center, Wright-Patterson Air Force Base.
Clin Imaging ; 39(3): 417-20, 2015.
Article in En | MEDLINE | ID: mdl-25438933
ABSTRACT

OBJECTIVE:

In areas with endemic histoplasmosis, incidental pulmonary nodules are common. Rate of malignancy and applicability of current tracking guidelines in these regions remain unclear.

METHODS:

A total of 148 cases of incidental pulmonary nodules tracked with chest computed tomography were reviewed for radiologic characteristics, diagnosis, number, and size.

RESULTS:

Of the nodules, 87.8% were benign and 12.2% malignant; 30% of nodules >20mm were malignant. Number of nodules (P=.14) and granulomatous disease (P=.71) were not related to malignant diagnosis.

CONCLUSION:

Malignancy was lower than expected in nodules >20mm. Appropriate tracking guidelines for incidentally discovered nodules in histoplasmosis endemic regions must be determined.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Endemic Diseases / Multiple Pulmonary Nodules / Histoplasmosis Type of study: Diagnostic_studies / Guideline Limits: Aged / Female / Humans / Male Language: En Journal: Clin Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2015 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Endemic Diseases / Multiple Pulmonary Nodules / Histoplasmosis Type of study: Diagnostic_studies / Guideline Limits: Aged / Female / Humans / Male Language: En Journal: Clin Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2015 Document type: Article
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