Meta-analysis of association between CT-based features and tumor spread through air spaces in lung adenocarcinoma
Yin et al. Journal of Cardiothoracic Surgery
https://doi.org/10.1186/s13019-020-01287-9
(2020) 15:243
RESEARCH ARTICLE
Open Access
Meta-analysis of association between CTbased features and tumor spread through
air spaces in lung adenocarcinoma
Qifan Yin1, Huien Wang1, Hongshang Cui1, Wenhao Wang1, Guang Yang1, Peng Qie1, Xuejiao Xun2,
Shaohui Han1 and Huining Liu1*
Abstract
Objective: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk
factor for recurrence and worse prognosis of lung adenocarcinoma after sublobar resection. The aims of this study
are to evaluate the association between computed tomography (CT)-based features and STAS for preoperative
prediction of STAS in lung adenocarcinoma, eventually, which could help us choose appropriate surgical type.
Methods: Systematic research was conducted to search for studies published before September 1, 2019. The
association between CT-based features of radiological tumor size>2 cm、pure solid nodule、 part-solid nodule or
Percentage of solid component (PSC)>50% and STAS was evaluated. According to rigorous inclusion and exclusion
criteria. Eight studies including 2385 patients published between 2015 and 2018 were finally enrolled in our metaanalysis.
Results: Our results clearly depicted that there is no significant relationship between radiological tumor size>2 cm
and STAS with the combined OR of 1.47(95% CI:0.86–2.51). Meta-analysis of 3 studies showed that pure solid
nodule in CT image were more likely to spread through air spaces with pooled OR of 3.10(95%CI2.17–4.43). Metaanalysis of 5 studies revealed the part-solid nodule in CT image may be more likely to appear STAS in
adenocarcinoma (ADC) (combined OR:3.10,95%CI:2.17–4.43). PSC>50% in CT image was a significant independent
predictor in the diagnosis of STAS in ADC from our meta-analysis with combined OR of 2.95(95%CI:1.88–4.63).
Conclusion: In conclusion, The CT-based features of pure solid nodule、part-solid nodule、PSC>50% are
promising imaging biomarkers for predicting STAS in ADC and may substantially influence the choice of surgical
type. In future, more studies with well-designed and large-scale are needed to confirm the conclusion.
Keywords: Spread through air spaces, CT-based features, Lung adenocarcinoma, Association, Meta-analysis
* Correspondence:
1
Department of Thoracic Surgery, Hebei Provincal General Hospital, 348,
West He-Ping Road, Shijiazhuang 050051, Hebei Province, People’s Republic
of China
Full list of author information is available at the end of the article
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Yin et al. Journal of Cardiothoracic Surgery
(2020) 15:243
Introduction
With the wide use of low-dose helical computed tomography (LDCT) and high resolution computed tomography (HRCT) screening in lung cancer, the number of
patients with early stage lung cancer characterized as
pulmonary nodule has been found to be increasing before they become a unresectable lesion. However, lung
cancer remains the first cancer-related death in both
men and women [1]. Beyond infiltration of myofibroblast stroma and lymph vascular and pleural invasion,
spread through air space (STAS) is regarded as a novel
invasion pattern of lung adenocarcinoma, even though
there are some controversies [2, 3]. The conception of
STAS was first introduced into our vision by Kadota and
colleagues in 2015 [4]. In the 2015 World Health
Organization (WHO) Classification [5], STAS was newly
recognized as a pattern of tumor spread in lung adenocarcinoma. STAS is defined as micropapillary clusters,
solid nests, or single cells spreading within air spaces beyond the edge of the main tumor [6]. STAS can be
found in 14.8 to 56.4% of lung adenocarcinomas and has
been proven to be a risk factor for survival and reoccurrence after operation [4, 7–10]. Comparing with STASnegative tumors, lung adenocarcinomas with STAS
positive showed a significant worse recurrence-free
survival and overall survival [10]. However, if surgical
operation type was considered, sublobar resection of
STAS-positive tumors has been reported to be associated with a high risk of distant and locoregional recurrence, while such association was not observed in
patients undergoing lobectomy [4]. Therefore, preoperative knowledge of the presence of STAS may facilitate
appropriate surgery type choosing.
As we all know, lobectomy and systematic lymph
nodes dissection is the standard operation for the
early stage lung cancer patients. In recent years, several studies indicated similar survival between sublobar resection and lobectomy for stage IA NSCLC
[11–14], Compared with those who underwent traditional lobectomy. Patients who underwent sublobectomy had less lung tissue resected and more lung
function preserved, The sublobar resection surgical
approaches included wedge resection and segmentectomy. However, small adenocarcinoma with STASpositive should be treated by lobectomy combined
with systematic dissection lymph nodes, not sublobar
resection. If we can predict the STAS through the
CT-based features before surgical resection, that
would aid us in the selection of the optimum surgical
procedure. The purpose of our meta-analysis is to
evaluate the association between CT-based features
and STAS and help us to predict STAS before surgery, eventually, which could help us choose appropriate surgical type.
Page 2 of 8
Methods
Literature search strategy
We performed a systematic literature search through the
following databases without date limitation: PubMed,
Cochrane Library, Ovid and Web of Science databases.
The search was updated to September 1, 2019. The main
search terms included: “STAS” (e.g., “spread through air
space”, and “spread through air spaces”,) and “lung cancer”[e.g., “lung neoplasm”, “lung carcinoma”,“non-small
cell lung cancer (NSCLC)”, “small cell lung cancer
(SCLC)”] and “CT-based features”(e.g.,“CT features”,
“Computed Tomog (...truncated)