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Standardized uptake value and radiological density attenuation as predictive and prognostic factors in patients with solitary pulmonary nodules: our experience on 1,592 patients.
- Source :
-
Journal of thoracic disease [J Thorac Dis] 2017 Aug; Vol. 9 (8), pp. 2551-2559. - Publication Year :
- 2017
-
Abstract
- Background: Multislice computed tomography (MSCT) increased detection of solitary pulmonary nodules (SPNs), changing the management based on radiological and clinical factors. When 18-fluorine fluorodeoxyglucose positron emission tomography combined with computed tomography ( <superscript>18</superscript> F-FDG-PET/CT) was considered for the evaluation of nodules, the maximum standardized uptake value (SUVmax) more than 2.5 is used frequently as a cut off for malignancy. The purpose of this study is to evaluate SUVmax PET/CT and pulmonary attenuation patterns at MSCT in patients with SPN according to morphological and pathological characteristics of the lesion.<br />Methods: A retrospective study on 1,592 SPN patients was carried out following approval by the Italian Registry of VATS Lobectomies.<br />Results: All patients underwent VATS lobectomy. On histologic examination, 98.1% had primary or second metachronous primary lung cancers. In addition, 10.7% presented occult lymph node metastases (pN1 or pN2) on histological examination. Nodule attenuation on CT was associated with the histology of the lesion (p= 0.030); in particular, pure ground glass opacities (pGGOs) and partially solid nodules were related to adenocarcinomatous histotypes. Conversely, a significant relationship between SUVmax and age, nodule size, pathological node status (pN) was found (P=0.007, P=0.000 and P=0.002 respectively).<br />Conclusions: Nodule attenuation can predict the histology of the lesion whereas SUVmax may relate to the propensity to lymph node metastases.<br />Competing Interests: Conflicts of Interest: The authors have no conflicts of interest to declare.
Details
- Language :
- English
- ISSN :
- 2072-1439
- Volume :
- 9
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of thoracic disease
- Publication Type :
- Academic Journal
- Accession number :
- 28932562
- Full Text :
- https://doi.org/10.21037/jtd.2017.06.124