Literature DB >> 20140611

Risk stratification of solitary pulmonary nodules by means of PET using (18)F-fluorodeoxyglucose and SUV quantification.

Aleksandar Grgic1, Yildirim Yüksel, Andreas Gröschel, Hans-Joachim Schäfers, Gerhard W Sybrecht, Carl-Martin Kirsch, Dirk Hellwig.   

Abstract

PURPOSE: (18)F-fluorodeoxyglucose (FDG) PET is the most accurate imaging modality in characterizing a solitary pulmonary nodule (SPN). Besides visual image interpretation, semiquantitative analysis using standardized uptake values (SUV) is performed to improve diagnostic accuracy. Mostly, an SUV threshold of 2.5 is applied to differentiate between benign and malignant lesions. In this study we analysed the use different SUV thresholds to predict the post-test probability of malignancy for the individual patient considering his pre-test probability. Furthermore, we investigated the prognostic value of SUV in SPN for survival.
METHODS: This retrospective study included 140 consecutive patients who underwent FDG PET for evaluation of SPN. Visual interpretation was performed by two readers. For semiquantitative analysis, maximum SUV (SUV(max)) was measured in all SPN. A final diagnosis was obtained by pathological examination or follow-up of more than 2 years. In a nomogram, positive and negative predictive values (PPV and NPV) were plotted against the hypothetical SUV threshold to determine the optimum SUV threshold. Survival was analysed using the Kaplan-Meier method and log-rank test.
RESULTS: The prevalence of malignancy was 57%. The FDG uptake in malignant SPNs was higher than in benign SPNs (SUV 9.7 +/- 5.5 vs 2.6 +/- 2.5, p < 0.01). More than 90% of SPNs with an SUV below 2.0 were benign (sensitivity, specificity, NPV of 96, 55 and 92%). The highest diagnostic accuracy was achieved with an SUV of 4.0 (sensitivity, specificity and accuracy of 85%). Visual interpretation achieved corresponding values of 94, 70 and 84%, respectively. In lung cancer higher FDG uptake (SUV(max) >or= 9.5) was associated with shorter survival (median survival 20 months) and low FDG uptake with longer survival (>75 months).
CONCLUSION: FDG PET allows assessment of the individual risk for malignancy in SPNs by considering tumoural SUV and pre-test probability. Higher FDG uptake in lung cancer as measured by SUV analysis is a prognostic factor. In patients with low FDG uptake in an SPN and increased risk during surgery omission of diagnostic thoracotomy may be warranted.

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Year:  2010        PMID: 20140611     DOI: 10.1007/s00259-010-1387-3

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  41 in total

Review 1.  Standards for PET image acquisition and quantitative data analysis.

Authors:  Ronald Boellaard
Journal:  J Nucl Med       Date:  2009-04-20       Impact factor: 10.057

2.  Does 2-year stability imply that pulmonary nodules are benign?

Authors:  D F Yankelevitz; C I Henschke
Journal:  AJR Am J Roentgenol       Date:  1997-02       Impact factor: 3.959

Review 3.  The solitary pulmonary nodule.

Authors:  Helen T Winer-Muram
Journal:  Radiology       Date:  2006-04       Impact factor: 11.105

4.  The prognostic significance of fluorodeoxyglucose positron emission tomography imaging for patients with nonsmall cell lung carcinoma.

Authors:  V Ahuja; R E Coleman; J Herndon; E F Patz
Journal:  Cancer       Date:  1998-09-01       Impact factor: 6.860

5.  Reproducibility of metabolic measurements in malignant tumors using FDG PET.

Authors:  W A Weber; S I Ziegler; R Thödtmann; A R Hanauske; M Schwaiger
Journal:  J Nucl Med       Date:  1999-11       Impact factor: 10.057

6.  Visual and semiquantitative analysis of 18F-fluorodeoxyglucose positron emission tomography using a partial-ring tomograph without attenuation correction to differentiate benign and malignant pulmonary nodules.

Authors:  S J Skehan; G Coates; C Otero; N O'Donovan; M Pelling; C Nahmias
Journal:  Can Assoc Radiol J       Date:  2001-08       Impact factor: 2.248

7.  The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.

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Journal:  Arch Intern Med       Date:  1997-04-28

8.  The solitary pulmonary nodule. Assessment, diagnosis, and management.

Authors:  N F Khouri; M A Meziane; E A Zerhouni; E K Fishman; S S Siegelman
Journal:  Chest       Date:  1987-01       Impact factor: 9.410

9.  Preoperative F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value predicts survival after lung cancer resection.

Authors:  Robert J Downey; Timothy Akhurst; Mithat Gonen; Alain Vincent; Manjit S Bains; Steven Larson; Valerie Rusch
Journal:  J Clin Oncol       Date:  2004-08-15       Impact factor: 44.544

10.  Lung tumor growth correlates with glucose metabolism measured by fluoride-18 fluorodeoxyglucose positron emission tomography.

Authors:  F G Duhaylongsod; V J Lowe; E F Patz; A L Vaughn; R E Coleman; W G Wolfe
Journal:  Ann Thorac Surg       Date:  1995-11       Impact factor: 4.330

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  28 in total

1.  Comments on characterization of solitary pulmonary nodules with 18F-FDG PET/CT relative activity distribution analysis.

Authors:  Orazio Schillaci; Ferdinando F Calabria
Journal:  J Thorac Dis       Date:  2015-10       Impact factor: 2.895

2.  (18)F-FDG-PET/CT in the assessment of pulmonary solitary nodules: comparison of different analysis methods and risk variables in the prediction of malignancy.

Authors:  Ober van Gómez López; Ana María García Vicente; Antonio Francisco Honguero Martínez; Germán Andrés Jiménez Londoño; Carlos Hugo Vega Caicedo; Pablo León Atance; Ángel María Soriano Castrejón
Journal:  Transl Lung Cancer Res       Date:  2015-06

3.  Evidence based imaging strategies for solitary pulmonary nodule.

Authors:  Yi-Xiang J Wang; Jing-Shan Gong; Kenji Suzuki; Sameh K Morcos
Journal:  J Thorac Dis       Date:  2014-07       Impact factor: 2.895

Review 4.  Imaging of solitary pulmonary nodule-a clinical review.

Authors:  Yee Ting Sim; Fat Wui Poon
Journal:  Quant Imaging Med Surg       Date:  2013-12

5.  Standardized uptake value and radiological density attenuation as predictive and prognostic factors in patients with solitary pulmonary nodules: our experience on 1,592 patients.

Authors:  Duilio Divisi; Mirko Barone; Luca Bertolaccini; Gaetano Rocco; Piergiorgio Solli; Roberto Crisci
Journal:  J Thorac Dis       Date:  2017-08       Impact factor: 2.895

6.  [18F-FDG PET/CT manifestations of massive type active pulmonary tuberculosis and its differentiation from lung cancer].

Authors:  Jiamei Gu; Yunyan Ren; Xiaohui Chen; Yanping Jiang; Wenlan Zhou; Lijuan Wang; Yanjiang Han; Qiaoyu Wang; Hubing Wu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2020-01-30

7.  Impact of rigid and nonrigid registration on the determination of 18F-FDG PET-based tumour volume and standardized uptake value in patients with lung cancer.

Authors:  Aleksandar Grgic; Elena Ballek; Jochen Fleckenstein; Norbert Moca; Stephanie Kremp; Andrea Schaefer; Jan-Martin Kuhnigk; Christian Rübe; Carl-Martin Kirsch; Dirk Hellwig
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-01-22       Impact factor: 9.236

8.  Positron emission tomography in the evaluation of pulmonary nodules among patients living in a coccidioidal endemic region.

Authors:  Nathaniel Reyes; Oluwole O Onadeko; Maria Del Carmen Luraschi-Monjagatta; Kenneth S Knox; Margaret A Rennels; Travis Kent Walsh; Neil M Ampel
Journal:  Lung       Date:  2014-05-07       Impact factor: 2.584

9.  Assessing the usefulness of 18F-fluorodeoxyglucose PET-CT scan after stereotactic body radiotherapy for early-stage non-small cell lung cancer.

Authors:  Nicholas J Pastis; Travis J Greer; Nichole T Tanner; Amy E Wahlquist; Leonie L Gordon; Anand K Sharma; Nicholas C Koch; Gerard A Silvestri
Journal:  Chest       Date:  2014-08       Impact factor: 9.410

10.  Evaluation of lung cancer by enhanced dual-energy CT: association between three-dimensional iodine concentration and tumour differentiation.

Authors:  Shingo Iwano; Rintaro Ito; Hiroyasu Umakoshi; Shinji Ito; Shinji Naganawa
Journal:  Br J Radiol       Date:  2015-09-02       Impact factor: 3.039

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