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. 2021 Jul-Aug;54(4):225-231.
doi: 10.1590/0100-3984.2020.0084.

Diffusion-weighted magnetic resonance imaging for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis

Affiliations

Diffusion-weighted magnetic resonance imaging for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis

Francisco de Souza Santos et al. Radiol Bras. 2021 Jul-Aug.

Abstract

Objective: To establish the diagnostic performance of diffusion-weighted magnetic resonance imaging (DWI) in discriminating malignant from non-malignant thoracic lymph nodes.

Materials and methods: This was a meta-analysis involving systematic searches of the MEDLINE, EMBASE, and Web of Science databases up through April 2020. Studies reporting thoracic DWI and lymph node evaluation were included. The pooled sensitivity, specificity, diagnostic odds ratio, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC) were calculated.

Results: We evaluated six studies, involving a collective total of 356 mediastinal lymph nodes in 214 patients. Thoracic DWI had a pooled sensitivity and specificity of 92% (95% confidence interval [95% CI]: 71-98%) and 93% (95% CI: 79-98%), respectively. The positive and negative likelihood ratios were 13.2 (95% CI: 4.0-43.8) and 0.09 (95% CI: 0.02-0.36), respectively. The diagnostic odds ratio was 149 (95% CI: 18-1,243), and the AUC was 0.97 (95% CI: 0.95-0.98).

Conclusion: DWI is a reproducible technique and has demonstrated high accuracy for differentiating between malignant and benign states in thoracic lymph nodes.

Objetivo: Uma meta-análise foi realizada para estabelecer o desempenho diagnóstico da ressonância magnética com imagem ponderada em difusão (DWI) na discriminação de linfonodos torácicos malignos de benignos.

Materiais e métodos: MEDLINE, EMBASE e Web of Science foram sistematicamente pesquisados até abril de 2020. Foram incluídos estudos que relatavam o uso de DWI na avaliação de linfonodos torácicos. Sensibilidade, especificidade, razão de chances de diagnóstico, valores preditivos positivos e negativos e área sob a curva (AUC) foram calculados.

Resultados: Foram encontrados 356 linfonodos mediastinais de 214 pacientes nos seis estudos incluídos. DWI produziu sensibilidade e especificidade combinadas de 92% (intervalo de confiança 95% [IC 95%]: 71-98%) e 93% (IC 95%: 79-98%), respectivamente. A razão de verossimilhança positiva foi de 13,2 (IC 95%: 4,0-43,8), a razão de verossimilhança negativa foi de 0,09 (IC 95%: 0,02-0,36); A razão de chances de diagnóstico foi de 149 (IC 95%: 18-1.243). A DWI teve uma AUC de 0,97 (IC 95%: 0,95-0,98).

Conclusão: DWI é uma técnica reprodutível que demonstrou alta acurácia na diferenciação de estados malignos e benignos nos linfonodos torácicos.

Keywords: Diffusion magnetic resonance imaging; Lymph nodes/diagnostic imaging; Lymphadenopathy; Magnetic resonance imaging; Meta-analysis; Thoracic neoplasms/diagnosis.

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Figures

Figure 1
Figure 1
PRISMA flow chart detailing the search and article selection processes.
Figure 2
Figure 2
QUADAS-2 summary. The overall QUADAS-2 score for the articles selected suggests that they were of high quality.
Figure 3
Figure 3
Forest plots of the sensitivity and specificity of DWI for differentiating between malignant and benign thoracic lymph nodes. Heterogeneity was high, as evidenced by the I2 value, which was 82%, values over 75% being considered indicative of high heterogeneity.
Figure 4
Figure 4
Conditional probability plot of the ability of DWI to differentiate between malignant and benign mediastinal lymph nodes. LR, likelihood ratio.
Figure 5
Figure 5
Receiver operating characteristic curve for DWI. AUC suggest a high diagnostic performance. Numbers within circles represent the studies referenced.

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