Research Progress in Imaging-based Diagnosis of Benign and Malignant
Enlarged Lymph Nodes in Non-small Cell Lung Cancer / 中国肺癌杂志
Chinese Journal of Lung Cancer
;
(12): 31-37, 2023.
Artículo
en Chino
| WPRIM
| ID: wpr-971176
ABSTRACT
Non-small cell lung cancer (NSCLC) can be detected with enlarged lymph nodes on imaging, but their benignity and malignancy are difficult to determine directly, making it difficult to stage the tumor and design radiotherapy target volumes. The clinical diagnosis of malignant lymph nodes is often based on the short diameter of lymph nodes ≥1 cm or the maximum standard uptake value ≥2.5, but the sensitivity and specificity of these criteria are too low to meet the clinical needs. In recent years, many advances have been made in diagnosing benign and malignant lymph nodes using other imaging parameters, and with the development of radiomics, deep learning and other technologies, models of mining the image information of enlarged lymph node regions further improve the diagnostic accuracy. The purpose of this paper is to review recent advances in imaging-based diagnosis of benign and malignant enlarged lymph nodes in NSCLC for more accurate and noninvasive assessment of lymph node status in clinical practice.
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Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Diagnóstico por Imagen
/
Sensibilidad y Especificidad
/
Carcinoma de Pulmón de Células no Pequeñas
/
Neoplasias Pulmonares
/
Ganglios Linfáticos
Límite:
Humanos
Idioma:
Chino
Revista:
Chinese Journal of Lung Cancer
Año:
2023
Tipo del documento:
Artículo
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