Synthetic MRI and diffusion-weighted imaging for differentiating nasopharyngeal lymphoma from nasopharyngeal carcinoma: combination with morphological features.

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Heng Zhang, Lin Hu, Fanghui Qin, Jun Chang, Yanqi Zhong, Weiqiang Dou, Shudong Hu, Peng Wang
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引用次数: 0

Abstract

Objectives: To investigate the feasibility of synthetic MRI (syMRI), diffusion-weighted imaging (DWI), and their combination with morphological features for differentiating nasopharyngeal lymphoma (NPL) from nasopharyngeal carcinoma (NPC).

Methods: Sixty-nine patients with nasopharyngeal tumours (NPL, n = 22; NPC, n = 47) who underwent syMRI and DWI were retrospectively enrolled between October 2020 and May 2022. syMRI and DWI quantitative parameters (T1, T2, PD, ADC) and morphological features were obtained. Diagnostic performance was assessed by independent sample t-test, chi-square test, logistic regression analysis, receiver operating characteristic curve (ROC), and DeLong test.

Results: NPL has significantly lower T2, PD, and ADC values compared to NPC (all P < .05), whereas no significant difference was found in T1 value between these two entities (P > .05). The morphological features of tumour type, skull-base involvement, Waldeyer ring involvement, and lymph nodes involvement region were significantly different between NPL and NPC (all P < .05). The syMRI (T2 + PD) model has better diagnostic efficacy, with AUC, sensitivity, specificity, and accuracy of 0.875, 77.27%, 89.36%, and 85.51%. Compared with syMRI model, syMRI + Morph (PD + Waldeyer ring involvement + lymph nodes involvement region), syMRI + DWI (T2 + PD + ADC), and syMRI + DWI + Morph (PD + ADC + skull-base involvement + Waldeyer ring involvement) models can further improve the diagnostic efficiency (all P < .05). Furthermore, syMRI + DWI + Morph model has excellent diagnostic performance, with AUC, sensitivity, specificity, and accuracy of 0.986, 95.47%, 97.87%, and 97.10%, respectively.

Conclusion: syMRI and DWI quantitative parameters were helpful in discriminating NPL from NPC. syMRI + DWI + Morph model has the excellent diagnostic efficiency in differentiating these two entities.

Advances in knowledge: syMRI + DWI + morphological feature method can differentiate NPL from NPC with excellent diagnostic performance.

合成磁共振成像和弥散加权成像用于区分鼻咽淋巴瘤和鼻咽癌:与形态学特征相结合。
研究目的研究合成磁共振成像(syMRI)、弥散加权成像(DWI)及其与形态学特征相结合区分鼻咽淋巴瘤(NPL)和鼻咽癌(NPC)的可行性:回顾性纳入2020年10月至2022年5月期间接受过syMRI和DWI检查的69例鼻咽肿瘤患者(NPL,n = 22;NPC,n = 47),获得了syMRI和DWI定量参数(T1、T2、PD、ADC)以及形态学特征。诊断效果通过独立样本t检验、卡方检验、逻辑回归分析、接收器操作特征曲线(ROC)和DeLong检验进行评估:结果:NPL的T2、PD和ADC值明显低于NPC(均为P 0.05)。结论:syMRI 和 DWI 定量参数有助于鉴别 NPL 和 NPC,syMRI+DWI+形态模型在鉴别这两种实体方面具有出色的诊断效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
British Journal of Radiology
British Journal of Radiology 医学-核医学
CiteScore
5.30
自引率
3.80%
发文量
330
审稿时长
2-4 weeks
期刊介绍: BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences. Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896. Quick Facts: - 2015 Impact Factor – 1.840 - Receipt to first decision – average of 6 weeks - Acceptance to online publication – average of 3 weeks - ISSN: 0007-1285 - eISSN: 1748-880X Open Access option
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