Literature DB >> 31420186

Improving diagnostic performance of 18F-FDG-PET/CT for assessment of regional nodal involvement in non-small cell lung cancer.

D D Yang1, E Mirvis2, J Goldring3, A R C Patel3, T Wagner2.   

Abstract

AIM: To assess the diagnostic performance of combined 2-[18F]-fluoro-2-deoxy-d-glucose (18F-FDG) positron-emission tomography (PET)/computed tomography (CT) mediastinal blood pool (MBP) activity cut-off for staging nodal involvement, and to examine other variables that may improve the diagnostic performance of PET/CT in non-small cell lung cancer (NSCLC).
MATERIALS AND METHODS: All patients diagnosed with NSCLC who underwent endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) and 18F-FDG-PET/CT between June 2016 and August 2018 were included. Nodal station and nodal staging-based analyses were performed, comparing the MBP cut-off and five other PET/CT parameters (node maximum standardised uptake value [SUVmax], node/MBP SUVmax ratio, node/tumour SUVmax ratio, node short axis diameter, and node SUVmax/node short axis diameter ratio) with histopathology results. The optimal cut-off value for each PET/CT parameter was determined using receiver operating characteristic curve analysis.
RESULTS: One hundred and thirteen patients with a total of 321 nodes with pathological sampling were included. Nodal activity above MBP on PET/CT demonstrated 97.4% sensitivity, 35.8% specificity, 32.8% positive predictive value, and 97.8% negative predictive value. Of the five other PET/CT parameters examined, the two most promising were node SUVmax and node/MBP SUVmax. The node SUVmax cut-off of 3.9 demonstrated 90.9% sensitivity and 61.9% specificity, and the node/MBP SUVmax cut-off of 1.7 demonstrated 90.9% sensitivity and 60.7% specificity.
CONCLUSION: Compared to the MBP cut-off, use of a higher node/MBP SUVmax ratio cut-off and use of other PET/CT variables can improve the diagnostic performance of PET/CT for NSCLC nodal staging. In particular, specificity for detecting malignant nodal involvement is improved while maintaining high sensitivity.
Copyright © 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31420186     DOI: 10.1016/j.crad.2019.07.009

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  3 in total

1.  Clinical evaluation of contrast-enhanced CT combined with PET/CT in diagnosis of mediastinal lymph node metastasis of non-small-cell lung cancer.

Authors:  Xiaodong Li; Xiaomeng Zheng; Tianle Zhang; Xi Dong; Jian Su
Journal:  Pak J Med Sci       Date:  2022 May-Jun       Impact factor: 2.340

2.  Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT.

Authors:  Maja Guberina; Ken Herrmann; Christoph Pöttgen; Nika Guberina; Hubertus Hautzel; Thomas Gauler; Till Ploenes; Lale Umutlu; Axel Wetter; Dirk Theegarten; Clemens Aigner; Wilfried E E Eberhardt; Martin Metzenmacher; Marcel Wiesweg; Martin Schuler; Rüdiger Karpf-Wissel; Alina Santiago Garcia; Kaid Darwiche; Martin Stuschke
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

3.  Quantitative analysis of endobronchial ultrasound elastography in computed tomography-negative mediastinal and hilar lymph nodes.

Authors:  Keigo Uchimura; Kei Yamasaki; Shinji Sasada; Sachika Hara; Issei Ikushima; Yosuke Chiba; Takashi Tachiwada; Toshinori Kawanami; Kazuhiro Yatera
Journal:  Thorac Cancer       Date:  2020-07-21       Impact factor: 3.500

  3 in total

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