• J Thorac Oncol · Oct 2009

    Evaluation of (18)F-FDG PET-CT for differentiation of pulmonary pathology in an approach of outpatient fast track assessment.

    • Tjeerd S Aukema, Renato A Valdés Olmos, Houke M Klomp, Hendrik J Teertstra, José S A Belderbos, Wouter V Vogel, Paul Baas, Sjaak A Burgers, and Michel M van den Heuvel.
    • Department of Nuclear Medicine, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. t.aukema@nki.nl
    • J Thorac Oncol. 2009 Oct 1; 4 (10): 1226-30.

    IntroductionThe aim of our study was to evaluate the clinical performance/ implementation of integrated F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT) for differentiation of pulmonary pathology in an approach of outpatient fast track assessment.MethodsA prospective study was performed in 114 consecutive patients with pulmonary symptoms and/or abnormal chest x-ray were referred for fast track assessment to the Netherlands Cancer Institute from March 2005 to September 2007. The presence of malignancy was evaluated in a multidisciplinary setting, including F-fluorodeoxyglucose-PET, diagnostic CT, and bronchoscopy (including biopsy), with histopathological evaluation as the reference standard.ResultsIn 105 patients (92%), a final diagnosis was achieved. A malignancy was diagnosed in 84% of the patients; non-small cell lung cancer in 67%, small cell lung cancer in 7%, and metastases or other malignancies in 10%. Nonmalignant lesions were found in 16% of the patients. Sensitivity, specificity, accuracy, positive predictive value and negative predictive value of positive PET/CT for the presence of malignancy were 97, 56, 90, 92, and 77%, respectively. PET/CT showed unexpected M1 disease (not detected on CT) in 10% of the patients. Almost half of the patients with a malignancy were scheduled for curative treatment, of whom 29 patients for surgery and 14 patients for chemoradiotherapy.ConclusionIn this outpatient fast track setting, PET/CT provides valuable information for diagnosing lung cancer, with a high positive predictive value, and is useful for clinical decision making.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

Want more great medical articles?

Keep up to date with a free trial of metajournal, personalized for your practice.
1,694,794 articles already indexed!

We guarantee your privacy. Your email address will not be shared.