-
Tytuł:
-
MRI-based radiomics models can improve prognosis prediction for nasopharyngeal carcinoma with neoadjuvant chemotherapy.
-
Autorzy:
-
Zeng F; Guangdong Medical University, Zhanjiang 524000, Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Lin KR; Clinical Research Institute, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Jin YB; Clinical Research Institute, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Li HJ; Department of Radiology, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, China.
Quan Q; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Su JC; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Chen K; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Zhang J; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Han C; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Zhang GY; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.. Electronic address: .
-
Źródło:
-
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 108-115. Date of Electronic Publication: 2022 Feb 15.
-
Typ publikacji:
-
Journal Article; Research Support, Non-U.S. Gov't; Systematic Review
-
Język:
-
English
-
Imprint Name(s):
-
Publication: <2008->: Amsterdam : Elsevier
Original Publication: New York : Pergamon, c1982-
-
MeSH Terms:
-
Nasopharyngeal Neoplasms*/diagnostic imaging
Nasopharyngeal Neoplasms*/drug therapy
Nasopharyngeal Neoplasms*/pathology
Neoadjuvant Therapy*
Humans ; Magnetic Resonance Imaging/methods ; Nasopharyngeal Carcinoma/diagnostic imaging ; Nasopharyngeal Carcinoma/pathology ; Prognosis ; Randomized Controlled Trials as Topic ; Retrospective Studies
-
Contributed Indexing:
-
Keywords: Magnetic resonance imaging; Nasopharyngeal carcinoma; Neoadjuvant chemotherapy; Radiomics
-
Entry Date(s):
-
Date Created: 20220219 Date Completed: 20220321 Latest Revision: 20220321
-
Update Code:
-
20240105
-
DOI:
-
10.1016/j.mri.2022.02.005
-
PMID:
-
35181470
-
Background: The purpose of this study was to explore the prognostic value of imaging features and related models in nasopharyngeal carcinoma (NPC) patients that received neoadjuvant chemotherapy.
Materials and Methods: We systematically reviewed the data of 110 NPC patients who received radiotherapy and neoadjuvant chemotherapy. The patients were randomly divided into the training cohort (n = 88) and the verification cohort (n = 22). The imaging data collected in this study were screened via Pyramidics and used to construct prediction models based on histology and clinical nomographs. The models' accuracy was evaluated via calibration curves and the consistency index (C-index). In addition, we also explored the correlation between radiomics expression patterns, quantitative histological characteristics, and clinical data and then constructed a model to predict the prognosis of NPC.
Results: The models that integrated radiomics contours with all the clinical data were superior to those based on the clinical data alone (C-index 0.746 vs. C-index 0.814, respectively) and the calibration curves showed good consistency. The heat map showed that the radiomics expression pattern and selected histological characteristics were correlated with the clinical stage, T stage, and N stage (p < 0.05), and no radiomics feature was associated with lactate dehydrogenase expression, lymphocyte count, or mononuclear cell count.
Conclusion: MRI-based radiomics can significantly improve the efficacy of traditional TNM staging and clinical data in predicting the progression-free survival (PFS) of patients with advanced NPC, which may provide an opportunity for precision medicine.
(Copyright © 2022 Elsevier Inc. All rights reserved.)
