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Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters

OBJECTIVES: This study aimed to investigate predictive visceral pleural invasion (VPI) occurrence value of the maximum standardized uptake value (SUVmax) in patients with lung adenocarcinoma (LA). PATIENTS AND METHODS: A total of 388 LA patients were divided into D1ab, D1c, D1, D2, D2a, D2b, D3, and...

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Autores principales: Sun, Xiaoyan, Chang, Cheng, Xie, Chun, Zhu, Jiahao, Ni, Xuping, Xie, Wenhui, Wang, Yuetao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566594/
https://www.ncbi.nlm.nih.gov/pubmed/37661775
http://dx.doi.org/10.1097/MNM.0000000000001753
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author Sun, Xiaoyan
Chang, Cheng
Xie, Chun
Zhu, Jiahao
Ni, Xuping
Xie, Wenhui
Wang, Yuetao
author_facet Sun, Xiaoyan
Chang, Cheng
Xie, Chun
Zhu, Jiahao
Ni, Xuping
Xie, Wenhui
Wang, Yuetao
author_sort Sun, Xiaoyan
collection PubMed
description OBJECTIVES: This study aimed to investigate predictive visceral pleural invasion (VPI) occurrence value of the maximum standardized uptake value (SUVmax) in patients with lung adenocarcinoma (LA). PATIENTS AND METHODS: A total of 388 LA patients were divided into D1ab, D1c, D1, D2, D2a, D2b, D3, and all patient groups based on their tumor diameter (D). Patients were also classified into negative VPI (VPI-n) and positive VPI (VPI-p) groups according to VPI presence. SUVmax of patients was measured with 18F-fluorodeoxyglucose (FDG) by PET/computed tomography (18F-PET/CT). Receiver operating characteristic (ROC) analysis and the area under curve (AUC) of SUVmax were applied to determine optimal cut-off value for predicting VPI occurrence. RESULTS: There were significant differences in SUVmax between VPI-n and VPI-p groups (P < 0.05) at the same tumor diameter. SUVmax cut-off value and sensitivity (Se,%) of VPI occurrence in each group were following: D1ab was 3.79 [AUC = 0.764, P < 0.001], Se86.11%; D1c was 5.47 (AUC = 0.706, P < 0.001), Se 93.75%; D1 was 5.49 (AUC = 0.731, P < 0.001), Se 79.76%; D2 was 7.36 (AUC = 0.726, P < 0.001), Se81.67%. All patient group was 7.26 (AUC = 0.735, P < 0.001), Se74.19%. CONCLUSION: In LA patients with the same diameter, SUVmax of the VPI-p group was significantly higher than that of the VPI-n group. The cut-off value of SUVmax for predicting VPI of T1 stage, T1 substages, and T2 stage LA could be determined through ROC curve. SUVmax measurement by PET/CT scan in stratified tumor size is helpful for predicting VPI occurrences of the physician.
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spelling pubmed-105665942023-10-12 Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters Sun, Xiaoyan Chang, Cheng Xie, Chun Zhu, Jiahao Ni, Xuping Xie, Wenhui Wang, Yuetao Nucl Med Commun Original Articles OBJECTIVES: This study aimed to investigate predictive visceral pleural invasion (VPI) occurrence value of the maximum standardized uptake value (SUVmax) in patients with lung adenocarcinoma (LA). PATIENTS AND METHODS: A total of 388 LA patients were divided into D1ab, D1c, D1, D2, D2a, D2b, D3, and all patient groups based on their tumor diameter (D). Patients were also classified into negative VPI (VPI-n) and positive VPI (VPI-p) groups according to VPI presence. SUVmax of patients was measured with 18F-fluorodeoxyglucose (FDG) by PET/computed tomography (18F-PET/CT). Receiver operating characteristic (ROC) analysis and the area under curve (AUC) of SUVmax were applied to determine optimal cut-off value for predicting VPI occurrence. RESULTS: There were significant differences in SUVmax between VPI-n and VPI-p groups (P < 0.05) at the same tumor diameter. SUVmax cut-off value and sensitivity (Se,%) of VPI occurrence in each group were following: D1ab was 3.79 [AUC = 0.764, P < 0.001], Se86.11%; D1c was 5.47 (AUC = 0.706, P < 0.001), Se 93.75%; D1 was 5.49 (AUC = 0.731, P < 0.001), Se 79.76%; D2 was 7.36 (AUC = 0.726, P < 0.001), Se81.67%. All patient group was 7.26 (AUC = 0.735, P < 0.001), Se74.19%. CONCLUSION: In LA patients with the same diameter, SUVmax of the VPI-p group was significantly higher than that of the VPI-n group. The cut-off value of SUVmax for predicting VPI of T1 stage, T1 substages, and T2 stage LA could be determined through ROC curve. SUVmax measurement by PET/CT scan in stratified tumor size is helpful for predicting VPI occurrences of the physician. Lippincott Williams & Wilkins 2023-11 2023-09-04 /pmc/articles/PMC10566594/ /pubmed/37661775 http://dx.doi.org/10.1097/MNM.0000000000001753 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Articles
Sun, Xiaoyan
Chang, Cheng
Xie, Chun
Zhu, Jiahao
Ni, Xuping
Xie, Wenhui
Wang, Yuetao
Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters
title Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters
title_full Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters
title_fullStr Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters
title_full_unstemmed Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters
title_short Predictive value of SUVmax in visceral pleural invasive lung adenocarcinoma with different diameters
title_sort predictive value of suvmax in visceral pleural invasive lung adenocarcinoma with different diameters
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566594/
https://www.ncbi.nlm.nih.gov/pubmed/37661775
http://dx.doi.org/10.1097/MNM.0000000000001753
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