Literature DB >> 32065918

Stepwise flowchart for decision making on sublobar resection through the estimation of spread through air space in early stage lung cancer1.

Jee Won Suh1, Yong Hyu Jeong2, Arthur Cho2, Dae Joon Kim3, Kyoung Young Chung3, Hyo Sup Shim4, Chang Young Lee5.   

Abstract

OBJECTIVES: The sensitivity for tumor spread through air space (STAS), an independent risk factor for locoregional recurrence after sublobar resection for lung cancer, has been relatively low in frozen sections. We aimed to determine predictors with high negative predictive value for the presence of STAS and to provide the flowchart in combination with these predictors for the decision-making for sublobar resection.
MATERIALS AND METHODS: Between July 2015 and December 2017, 387 patients who underwent surgery for non-small cell lung cancer (NSCLC) with pathologic findings of the total masses measuring ≤ 2 cm were enrolled. The lesions were divided into two groups according to presence of STAS. We compared the preoperative characteristics, operative data, and developed a flowchart for STAS prediction using receiver operator characteristic curve analysis and multivariable logistic regression.
RESULTS: The STAS-positive group (N = 111) had a significantly higher preoperative tumor size (1.70 [1.5] vs 1.50 [0.69], p < 0.001) and standardized uptake value tumor-to-liver (SUV T/L) ratio (1.40 [1.60] vs 0.60 [1.10], p < 0.001) and a significantly lower two-dimensional ground-glass opacity (GGO) percentage (35.86 [61.00] vs 78.14 [39.00], p < 0.001). Meanwhile, the STAS-negative group (N = 286) had higher lepidic predominance (41.6% vs. 1.8%, p < 0.001). We developed a flowchart for predicting STAS in combination with two-dimensional GGO percentage on computed tomography (CT), SUV T/L ratio on positron-emission CT, and lepidic predominant pattern. The sensitivity, specificity, and negative predictive value for STAS positivity were 79.3%, 68.5%, and 89.5%, respectively.
CONCLUSIONS: The stepwise flowchart using two-dimensional GGO percentage on CT, maximum SUV, and lepidic predominance might be helpful in selecting patients with early NSCLC for sublobar resection. Published by Elsevier B.V.

Entities:  

Keywords:  Ground glass opacity; Lung cancer; Sublobar resection; Tumor spread through air space

Mesh:

Year:  2020        PMID: 32065918     DOI: 10.1016/j.lungcan.2020.02.001

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  4 in total

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2.  Could tumor spread through air spaces benefit from adjuvant chemotherapy in stage I lung adenocarcinoma? A multi-institutional study.

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3.  Role of radiomics in predicting lung cancer spread through air spaces in a heterogeneous dataset.

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Journal:  Transl Lung Cancer Res       Date:  2022-04

4.  Radiomics is feasible for prediction of spread through air spaces in patients with nonsmall cell lung cancer.

Authors:  Yuki Onozato; Takahiro Nakajima; Hajime Yokota; Jyunichi Morimoto; Akira Nishiyama; Takahide Toyoda; Terunaga Inage; Kazuhisa Tanaka; Yuichi Sakairi; Hidemi Suzuki; Takashi Uno; Ichiro Yoshino
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

  4 in total

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