Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer.

Humans Carcinoma, Non-Small-Cell Lung / diagnostic imaging Fluorodeoxyglucose F18 / pharmacokinetics Male Lung Neoplasms / diagnostic imaging Female Aged Middle Aged Positron-Emission Tomography / methods Radiopharmaceuticals Prognosis Multimodal Imaging Tumor Burden Diffusion Magnetic Resonance Imaging / methods Predictive Value of Tests Aged, 80 and over Retrospective Studies Adult Magnetic Resonance Imaging / methods
Diffusion parameters Magnetic resonance imaging Metabolic parameters Non-small cell lung cancer Positron emission computed tomography

Journal

BMC medical imaging
ISSN: 1471-2342
Titre abrégé: BMC Med Imaging
Pays: England
ID NLM: 100968553

Informations de publication

Date de publication:
29 Oct 2024
Historique:
received: 27 06 2023
accepted: 30 09 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

Multiple models intravoxel incoherent motion (IVIM) based To compare the value of Chest PET and IVIM scans were performed on 61 NSCLC patients using PET/MR. The maximum standard uptake value (SUV 61 NSCLC patients had an overall median OS of 18 months (14.75, 22.85) and a median PFS of 17 months (12.00, 21.75). Univariate analysis showed that pathological subtype, TNM stage, surgery, SUV MTV, D* and ADC are independent predicting factors affecting OS and PFS in NSCLC patients.

Sections du résumé

BACKGROUND BACKGROUND
Multiple models intravoxel incoherent motion (IVIM) based
OBJECTIVE OBJECTIVE
To compare the value of
METERIAL AND METHODS UNASSIGNED
Chest PET and IVIM scans were performed on 61 NSCLC patients using PET/MR. The maximum standard uptake value (SUV
RESULTS RESULTS
61 NSCLC patients had an overall median OS of 18 months (14.75, 22.85) and a median PFS of 17 months (12.00, 21.75). Univariate analysis showed that pathological subtype, TNM stage, surgery, SUV
CONCLUSION CONCLUSIONS
MTV, D* and ADC are independent predicting factors affecting OS and PFS in NSCLC patients.

Identifiants

DOI: 10.1186/s12880-024-01445-8 PMID: 39472782
pubmed: 39472782
doi: 10.1186/s12880-024-01445-8
pii: 10.1186/s12880-024-01445-8
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D
Radiopharmaceuticals 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

290

Subventions

Organisme : Henan provincial science and technology research projects
ID : 212102310689
Organisme : Henan Province Medical Science and technology public relations plan joint project
ID : LHGJ20210001
Organisme : Zhengzhou Collaborative Innovation Major Project
ID : 20XTZX05015
Organisme : medical science and technology project of Henan Province
ID : SBGJ202101002

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Han Jiang (H)

Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China.

Ziqiang Li (Z)

Department of Magnetic Resonance, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.

Nan Meng (N)

Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China.

Yu Luo (Y)

Zhengzhou University People's Hospital, Zhengzhou, Henan, China.

Pengyang Feng (P)

Henan University People's Hospital, Zhengzhou, Henan, China.

Fangfang Fu (F)

Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China.

Yang Yang (Y)

Beijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare Group, Beijing, China.

Jianmin Yuan (J)

Central Research Institute, United Imaging Healthcare Group, Shanghai, China.

Zhe Wang (Z)

Central Research Institute, United Imaging Healthcare Group, Shanghai, China.

Meiyun Wang (M)

Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China. mywang@zzu.edu.cn.

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