Positron Emission Tomography/Computed Tomography Thoracic Nodal Staging of Non–Small-Cell Lung Cancer
EDITORIAL
Positron Emission Tomography/Computed Tomography Thoracic Nodal Staging of Non–Small-Cell Lung Cancer
WSK Cheung
Department of Nuclear Medicine, Hong Kong Sanatorium & Hospital, Hong Kong
Correspondence: Dr WSK Cheung, Department of Nuclear Medicine, Hong Kong Sanatorium & Hospital, Hong Kong. Email: William.SK.Cheung@hksh.com
Contributors: The author contributed to the Editorial, approved the final version for publication, and takes responsibility for its accuracy and integrity.
Conflicts of Interest: The author has disclosed no conflicts of interest.
Lung cancer is the leading cause of cancer-related death,
with the highest incidence and mortality in Hong Kong.[1]
Non–small-cell lung carcinoma (NSCLC) accounts for
94% of all lung cancers. For patients with NSCLC,
accurate staging paves a determining role in treatment
options and predicts survival. 18F-fluorodeoxyglucose
positron emission tomography–computed tomography
(18F-FDG PET/CT) has a well-established role in
staging of NSCLC and is recommended in guidelines
of the National Comprehensive Cancer Network,[2] the
American College of Chest Physicians,[3] the American
College of Radiology Appropriateness Criteria, and the
Society of Nuclear Medicine and Molecular Imaging.[4]
The role of 18F-FDG PET/CT in the TNM staging
of NSCLC was reviewed for the eighth edition, and
no changes were made to the N descriptors.[5] The N
categories based on the location of the involved nodes
can be used to consistently predict prognosis. For
mediastinal nodal staging, 18F-FDG PET/CT has higher
accuracy than CT alone with nodes of >1 cm in the short
axis, and it has a sensitivity of 58%-94% and a specificity
of 76%-96%.[6] However, the sensitivity and specificity
of FDG-PET vary among studies and centres owing
to differences in the criteria for PET positivity and the
performance metrics of PET/CT scanners.[7] Few studies
have evaluated the accuracy of nodal staging in NSCLC
when different diagnostic criteria are applied.
In this issue of the Hong Kong Journal of Radiology, Ng et al[8] conducted a retrospective study to evaluate
the diagnostic accuracy of 18F-FDG PET/CT for preoperative thoracic nodal staging of NSCLC. The
authors compared 18F-FDG PET/CT with a five-point
visual score, the maximum standardised uptake value
(SUVmax), and short-axis nodal diameter in the axial
plane with histopathology.[8] They found that specificity,
accuracy, and positive and negative predictive values
were significantly higher for the visual score than for
nodal diameter. A predictive model combining visual
PET positivity with other parameters, including nodal
SUVmax, ratio of node to aorta SUVmax, ratio of node
to primary tumour SUVmax, and Hounsfield units, has
been shown to improve the positive predictive value,
specificity, and overall accuracy of 18F-FDG PET/CT in
the preoperative diagnosis of nodal metastases.[9] Thus,
the visual score is a simple method with good inter-observer
agreement, and has great value in nodal staging
when combined with PET positivity and visual semi-quantification.
Moreover, Ng et al[8] found that the visual
score with a cut-off score of 3 achieved satisfactory
areas under the curve values in the receiver operating
characteristics curves to T stages, histology, epidermal
growth factor receptor status, SUVmax of the primary
tumour, and nodal stations. This implies the applicability
of the visual score in patients with NSCLC.
In conclusion, accurate TNM staging is important to
the direct management of NSCLC and bears prognostic
implications for patients with NSCLC. 18F-FDG PET/CT
is currently the standard of care. Thoracic nodal staging
is particularly important for early NSCLC in determining
curative surgery. This retrospective local study proposed
a simple visual scheme for nodal staging which has high accuracy and good interobserver agreement, and thus
can alleviate the robust semiquantitative assessment
and application of diagnostic criteria among different
scanners.
REFERENCES
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