Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma.
J Cardiothorac Surg
; 19(1): 260, 2024 Apr 23.
Article
em En
| MEDLINE
| ID: mdl-38654352
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.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Tomografia Computadorizada por Raios X
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Adenocarcinoma de Pulmão
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Neoplasias Pulmonares
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article