Literature DB >> 28377340

[Combined use of thin-section CT and 18F-FDG PET/CT for characterization of solitary pulmonary nodules].

Yun-Yan Ren1, You-Cai Li, Hu-Bing Wu, Quan-Shi Wang, Yan-Jiang Han, Wen-Lan Zhou, Hong-Sheng Li, Zhen Wang, Mohammed Shah Alam Mohammed Shah Alam.   

Abstract

OBJECTIVE: To investigate whether fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) combined with thin-section CT improves the diagnostic performance for solitary pulmonary nodules (SPNs).
METHODS: A total of 267 patients underwent examinations with 18F-FDG PET/CT and thin-section CT for evaluating the SPNs with undetermined nature, which was further confirmed by pathological examination or clinical follow-up. The performance of two diagnostic criteria based on findings in PET/CT alone (Criterion 1) and in PET/CT combined with thin-section CT (Criterion 2) were compared.
RESULTS: Thin-section CT provided greater diagnostic information for SPNs in 84.2% of the patients. Compared with Criterion 1, the diagnosis based on Criterion 2 significantly increased the diagnostic sensitivity (80.4% vs 91%, P<0.01) and accuracy (76.4% vs 87.2%, P<0.01) for lung cancer. The lesion size and the CT features including lobulation, air bronchogram, and feeding vessel, but not SUVmax, were all helpful for characterizing non-solid SPNs. Thin-section CT rectified diagnostic errors in 50% (20/40) of the cancerous lesions, which had been diagnosed as benign by PET due to their low metabolism. For non-solid SPNs, Criterion 2 showed a significantly higher diagnostic sensitivity than Criterion 1 (90.0% vs 40.0%, P=0.000) but their diagnostic specificity were comparable (75.2% vs 58.3%, P=0.667). For solid nodules, the use of thin-section CT resulted in no significant improvement in the diagnostic performance (P<0.05).
CONCLUSION: The combination of PET/CT and thin-section CT creates a synergistic effect for the characterization of SPNs, especially non-solid nodules.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28377340      PMCID: PMC6780437     

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  30 in total

1.  Exploring Stage I non-small-cell lung cancer: development of a prognostic model predicting 5-year survival after surgical resection†.

Authors:  Francesco Guerrera; Luca Errico; Andrea Evangelista; Pier Luigi Filosso; Enrico Ruffini; Elena Lisi; Giulia Bora; Elena Asteggiano; Stefania Olivetti; Paolo Lausi; Francesco Ardissone; Alberto Oliaro
Journal:  Eur J Cardiothorac Surg       Date:  2014-11-12       Impact factor: 4.191

2.  Diagnosis and management of solitary pulmonary nodules.

Authors:  Yeon Joo Jeong; Kyung Soo Lee; O Jung Kwon
Journal:  Expert Rev Respir Med       Date:  2008-12       Impact factor: 3.772

3.  Nodule characterization: subsolid nodules.

Authors:  Roy A Raad; James Suh; Saul Harari; David P Naidich; Maria Shiau; Jane P Ko
Journal:  Radiol Clin North Am       Date:  2013-10-06       Impact factor: 2.303

4.  Multidetector CT of solitary pulmonary nodules.

Authors:  Mylene T Truong; Bradley S Sabloff; Jane P Ko
Journal:  Thorac Surg Clin       Date:  2010-02       Impact factor: 1.750

5.  Is there a role for FDG PET in the management of lung cancer manifesting predominantly as ground-glass opacity?

Authors:  Tae Jung Kim; Chang Min Park; Jin Mo Goo; Kyung Won Lee
Journal:  AJR Am J Roentgenol       Date:  2012-01       Impact factor: 3.959

6.  Accuracy of PET for diagnosis of solid pulmonary lesions with 18F-FDG uptake below the standardized uptake value of 2.5.

Authors:  Yaichiro Hashimoto; Tetsuya Tsujikawa; Chisato Kondo; Masako Maki; Mitsuru Momose; Atsushi Nagai; Takamasa Ohnuki; Toshio Nishikawa; Kiyoko Kusakabe
Journal:  J Nucl Med       Date:  2006-03       Impact factor: 10.057

7.  Overestimated value of (18)F-FDG PET/CT to diagnose pulmonary nodules: Analysis of 298 patients.

Authors:  S Li; B Zhao; X Wang; J Yu; S Yan; C Lv; Y Yang
Journal:  Clin Radiol       Date:  2014-05-27       Impact factor: 2.350

8.  Thin-section CT findings in peripheral lung cancer of 3 cm or smaller: are there any characteristic features for predicting tumor histology or do they depend only on tumor size?

Authors:  Binghu Jiang; Shodayu Takashima; Chie Miyake; Tomoaki Hakucho; Yoshiyuki Takahashi; Daisuke Morimoto; Hodaka Numasaki; Katsuyuki Nakanishi; Yasuhiko Tomita; Masahiko Higashiyama
Journal:  Acta Radiol       Date:  2013-08-07       Impact factor: 1.990

Review 9.  Incidental, subsolid pulmonary nodules at CT: etiology and management.

Authors:  Jessica L Seidelman; Jeffrey L Myers; Leslie E Quint
Journal:  Cancer Imaging       Date:  2013-09-23       Impact factor: 3.909

10.  Prevalence and variables associated with solitary pulmonary nodules in a routine clinic-based population: a cross-sectional study.

Authors:  N Gómez-Sáez; I González-Álvarez; J Vilar; I Hernández-Aguado; M L Domingo; M F Lorente; M Pastor-Valero; L A Parker; N Picazo; J Calbo; B Lumbreras
Journal:  Eur Radiol       Date:  2014-06-25       Impact factor: 5.315

View more
  1 in total

1.  Differentiating synchronous double primary lung adenocarcinomas from intrapulmonary metastasis by CT features, EGFR mutations and ALK rearrangement status.

Authors:  Xiaoyu Han; Jun Fan; Tong Liu; Na Li; Osamah Alwalid; Jin Gu; Heshui Shi
Journal:  J Thorac Dis       Date:  2020-10       Impact factor: 2.895

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.