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Open Access 01-12-2024 | Computed Tomography | Research

Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma

Authors: Marino Yamamoto, Masaya Tamura, Ryohei Miyazaki, Hironobu Okada, Noriko Wada, Makoto Toi, Ichiro Murakami

Published in: Journal of Cardiothoracic Surgery | Issue 1/2024

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Abstract

Background

The aim of this study was to assess the ability of radiologic factors such as mean computed tomography (mCT) value, consolidation/tumor ratio (C/T ratio), solid tumor size, and the maximum standardized uptake (SUVmax) value by F-18 fluorodeoxyglucose positron emission tomography to predict the presence of spread through air spaces (STAS) of lung adenocarcinoma.

Methods

A retrospective study was conducted on 118 patients those diagnosed with clinically without lymph node metastasis and having a pathological diagnosis of adenocarcinoma after undergoing surgery. Receiver operating characteristics (ROC) analysis was used to assess the ability to use mCT value, C/T ratio, tumor size, and SUVmax value to predict STAS. Univariate and multiple logistic regression analyses were performed to determine the independent variables for the prediction of STAS.

Results

Forty-one lesions (34.7%) were positive for STAS and 77 lesions were negative for STAS. The STAS positive group was strongly associated with a high mCT value, high C/T ratio, large solid tumor size, large tumor size and high SUVmax value. The mCT values were − 324.9 ± 19.3 HU for STAS negative group and − 173.0 ± 26.3 HU for STAS positive group (p < 0.0001). The ROC area under the curve of the mCT value was the highest (0.738), followed by SUVmax value (0.720), C/T ratio (0.665), solid tumor size (0.649). Multiple logistic regression analyses using the preoperatively determined variables revealed that mCT value (p = 0.015) was independent predictive factors of predicting STAS. The maximum sensitivity and specificity were obtained at a cutoff value of − 251.8 HU.

Conclusions

The evaluation of mCT value has a possibility to predict STAS and may potentially contribute to the selection of suitable treatment strategies.
Literature
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Metadata
Title
Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma
Authors
Marino Yamamoto
Masaya Tamura
Ryohei Miyazaki
Hironobu Okada
Noriko Wada
Makoto Toi
Ichiro Murakami
Publication date
01-12-2024
Publisher
BioMed Central
Published in
Journal of Cardiothoracic Surgery / Issue 1/2024
Electronic ISSN: 1749-8090
DOI
https://doi.org/10.1186/s13019-024-02612-2
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