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FDG-PET imaging and the diagnosis of non-small cell lung cancer in a region of high histoplasmosis prevalence.

AbstractSTUDY OBJECTIVE:
Determine the sensitivity and specificity of [F-18]-fluorine-2-deoxy-D-glucose positron emission tomography (FDG-PET) in differentiating non-small cell lung cancer (NSCLC) from benign solitary pulmonary nodules (SPNs) in a region with a high endemic rate of histoplamosis.
DESIGN:
Prospective, clinical study.
SETTING:
University, tertiary referral hospital in the upper Mississippi River valley.
PATIENTS:
Ninety patients with SPNs.
INTERVENTIONS:
Independent interpretation of FDG-PET imaging, computed tomography and pathologic evaluation of the SPNs.
MEASUREMENTS AND RESULTS:
To detect malignant SPNs, FDG-PET imaging had a sensitivity of 93%, a specificity of 40%, a positive predictive value (PPV) of 88% and a negative predictive value (NPV) of 55%.
CONCLUSIONS:
In a region with a high prevalence of pulmonary fungal infection, FDG-PET is sensitive but has a low specificity and NPV for identifying NSCLC. In our study cohort, FDG-PET does not appear to reduce the need for SPN biopsies.
AuthorsDonita R Croft, John Trapp, Kemp Kernstine, Peter Kirchner, Brian Mullan, Jeffery Galvin, Michael W Peterson, Thomas Gross, Geoffrey McLennan, Jeffrey A Kern
JournalLung cancer (Amsterdam, Netherlands) (Lung Cancer) Vol. 36 Issue 3 Pg. 297-301 (Jun 2002) ISSN: 0169-5002 [Print] Ireland
PMID12009241 (Publication Type: Comparative Study, Journal Article)
Chemical References
  • Radiopharmaceuticals
  • Fluorodeoxyglucose F18
Topics
  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Non-Small-Cell Lung (diagnostic imaging)
  • Diagnosis, Differential
  • Female
  • Fluorodeoxyglucose F18
  • Histoplasmosis (diagnostic imaging, epidemiology)
  • Humans
  • Iowa (epidemiology)
  • Lung Neoplasms (diagnostic imaging)
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prevalence
  • Prospective Studies
  • Radiopharmaceuticals
  • Sensitivity and Specificity
  • Tomography, Emission-Computed
  • Tomography, X-Ray Computed

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