Clinical diagnostic model for predicting indolent or aggressive lymphoma based on clinical information and ultrasound features of superficial lymph nodes

IF 3.2 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Radiology Pub Date : 2024-09-15 DOI:10.1016/j.ejrad.2024.111738
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引用次数: 0

Abstract

Purpose

The aim of this study was to develop a diagnostic model for predicting indolent lymphoma or aggressive lymphoma using clinical information and ultrasound characteristics of superficial lymph nodes.

Method

Patients with confirmed pathological lymphoma subtypes who had undergone ultrasound and contrast-enhanced ultrasound examinations were enrolled. Clinical and ultrasound imaging features were retrospectively analysed and compared to the pathological results, which were considered the gold standard for diagnosis. Two diagnostic models were developed: a clinical model (Model-C) using clinical data only, and a combined model (Model-US) integrating ultrasound features into the clinical model. The efficacy of these models in differentiating between indolent and aggressive lymphoma was compared.

Results

In total, 236 consecutive patients were enrolled, including 78 patients with indolent lymphomas and 158 patients with aggressive lymphomas. Receiver operating characteristic (ROC) curve analysis revealed that the areas under the curves of Model-C and Model-US were 0.78 (95 % confidence interval: 0.72–0.84) and 0.87 (95 % confidence interval: 0.82–0.92), respectively (p < 0.001). Model-US was further evaluated for calibration and is presented as a nomogram.

Conclusions

The diagnostic model incorporated clinical and ultrasound characteristics and offered a noninvasive method for assessing lymphoma with good discrimination and calibration.

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根据浅表淋巴结的临床信息和超声波特征预测轻度或侵袭性淋巴瘤的临床诊断模型
目的 本研究的目的是利用浅表淋巴结的临床信息和超声波特征,建立一个预测淋巴瘤是非淋巴瘤还是侵袭性淋巴瘤的诊断模型。对临床和超声成像特征进行回顾性分析,并与病理结果进行比较,病理结果被认为是诊断的金标准。研究人员开发了两种诊断模型:一种是仅使用临床数据的临床模型(模型-C),另一种是将超声特征纳入临床模型的组合模型(模型-US)。结果总共有 236 名连续患者被纳入研究,其中包括 78 名惰性淋巴瘤患者和 158 名侵袭性淋巴瘤患者。接收者操作特征曲线(ROC)分析显示,模型-C 和模型-US 的曲线下面积分别为 0.78(95% 置信区间:0.72-0.84)和 0.87(95% 置信区间:0.82-0.92)(p < 0.001)。结论该诊断模型结合了临床和超声特征,为评估淋巴瘤提供了一种无创方法,具有良好的区分度和校准性。
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来源期刊
CiteScore
6.70
自引率
3.00%
发文量
398
审稿时长
42 days
期刊介绍: European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.
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