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The impact of PET/CT and brain MRI for metastasis detection among patients with clinical T1-category lung cancer: Findings from a large-scale cohort study.
Feng, Yi; Cheng, Bo; Zhan, Shuting; Liu, Haiping; Li, Jianfu; Chen, Peiling; Wang, Zixun; Huang, Xiaoyan; Fu, Xiuxia; Ye, Wenjun; Wang, Runchen; Wang, Qixia; Xiang, Yang; Wang, Huiting; Zhu, Feng; Zheng, Xin; Fu, Wenhai; Hu, Guodong; Chen, Zhuxing; He, Jianxing; Liang, Wenhua.
  • Feng Y; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Cheng B; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Zhan S; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Liu H; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Li J; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Chen P; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Wang Z; PET/CT Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Huang X; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Fu X; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Ye W; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Wang R; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Wang Q; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Xiang Y; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Wang H; Nanshan School, Guangzhou Medical University, Jingxiu Road, Panyu District, Guangzhou, 511436, China.
  • Zhu F; The Radiology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Zheng X; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • Fu W; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Hu G; Nanshan School, Guangzhou Medical University, Jingxiu Road, Panyu District, Guangzhou, 511436, China.
  • Chen Z; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
  • He J; Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
  • Liang W; Department of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Eur J Nucl Med Mol Imaging ; 51(11): 3400-3416, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38722381
ABSTRACT

PURPOSE:

[18F]-FDG PET/CT and brain MRI are common approaches to detect metastasis in patients of lung cancer. Current guidelines for the use of PET/CT and MRI in clinical T1-category lung cancer lack risk-based stratification and require optimization. This study stratified patients based on metastatic risk in terms of the lesions' size and morphological characteristics.

METHODS:

The detection rate of metastasis was measured in different sizes and morphological characteristics (solid and sub-solid) of tumors. To confirm the cut-off value for discriminating metastasis and overall survival (OS) prediction, the receiver operating characteristic (ROC) analysis was performed based on PET/CT metabolic parameters (SUVmax/SUVmean/SULpeak/MTV/TLG), followed by Kaplan-Meier analysis for survival in post-operation patients with and without PET/CT plus MRI.

RESULTS:

2,298 patients were included. No metastasis was observed in patients with solid nodules < 8.0 mm and sub-solid nodules < 10.0 mm. The cut-off of PET/CT metabolic parameters on discriminating metastasis were 1.09 (SUVmax), 0.26 (SUVmean), 0.31 (SULpeak), 0.55 (MTV), and 0.81 (TLG), respectively. Patients undergoing PET/CT plus MRI exhibited longer OS compared to those who did not receive it in solid nodules ≥ 8.0 mm & sub-solid nodules ≥ 10.0 mm (HR, 0.44; p < 0.001); in solid nodules ≥ 8.0 mm (HR, 0.12; p<0.001) and in sub-solid nodules ≥ 10.0 mm (HR; 0.61; p=0.075), respectively. Compared to patients with metabolic parameters lower than cut-off values, patients with higher metabolic parameters displayed shorter OS SUVmax (HR, 12.94; p < 0.001), SUVmean (HR, 11.33; p <0.001), SULpeak (HR, 9.65; p < 0.001), MTV (HR, 9.16; p = 0.031), and TLG (HR, 12.06; p < 0.001).

CONCLUSION:

The necessity of PET/CT and MRI should be cautiously evaluated in patients with solid nodules < 8.0 mm and sub-solid nodules < 10.0 mm, however, these examinations remained essential and beneficial for patients with solid nodules ≥ 8.0 mm and sub-solid nodules ≥ 10.0 mm.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imagen por Resonancia Magnética / Tomografía Computarizada por Tomografía de Emisión de Positrones / Neoplasias Pulmonares Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imagen por Resonancia Magnética / Tomografía Computarizada por Tomografía de Emisión de Positrones / Neoplasias Pulmonares Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article