Imaging evaluation of para-aortic lymph nodes in cervical cancer.


Journal

Acta radiologica (Stockholm, Sweden : 1987)
ISSN: 1600-0455
Titre abrégé: Acta Radiol
Pays: England
ID NLM: 8706123

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 13 9 2023
pubmed: 16 6 2023
entrez: 15 6 2023
Statut: ppublish

Résumé

In recent years, much literature has reported the diagnostic value of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)-CT in para-aortic lymph node metastasis of cervical cancer. To compare and analyze the para-aortic lymph node presentations found in cervical cancer on different images in order to determine the best precise imaging method for identifying metastatic lymph nodes. PubMed, Web of Science, MEDLINE, and other databases were searched for the non-invasive detection of metastatic lymph nodes for a comprehensive comparison. Positive lymph nodes on CT are significantly related to the following factors: short axis ≥10 mm; and round or central necrosis. Positive lymph nodes on MRI are significantly related to the following factors: short axis ≥8 mm; inhomogeneous signal intensity; morphology: round, irregular edge, extracapsular invasion, central necrosis, loss of lymph node structure, burrs, or lobes; and ADC value decreases, combined with local actuality. On PET-CT examination, when the short axis of the lymph node is >5 mm, the SUV is >2.5, or the FDG uptake is greater than that of the surrounding tissue, it is a metastatic lymph node. In conclusion, different imaging techniques show metastatic lymph nodes in different ways. Combining the patient's medical history with the symptoms of the aforementioned lymph nodes, together with one or more imaging techniques, is important to diagnose para-aortic lymph nodes in cervical cancer.

Sections du résumé

BACKGROUND BACKGROUND
In recent years, much literature has reported the diagnostic value of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)-CT in para-aortic lymph node metastasis of cervical cancer.
PURPOSE OBJECTIVE
To compare and analyze the para-aortic lymph node presentations found in cervical cancer on different images in order to determine the best precise imaging method for identifying metastatic lymph nodes.
MATERIAL AND METHODS METHODS
PubMed, Web of Science, MEDLINE, and other databases were searched for the non-invasive detection of metastatic lymph nodes for a comprehensive comparison.
RESULTS RESULTS
Positive lymph nodes on CT are significantly related to the following factors: short axis ≥10 mm; and round or central necrosis. Positive lymph nodes on MRI are significantly related to the following factors: short axis ≥8 mm; inhomogeneous signal intensity; morphology: round, irregular edge, extracapsular invasion, central necrosis, loss of lymph node structure, burrs, or lobes; and ADC value decreases, combined with local actuality. On PET-CT examination, when the short axis of the lymph node is >5 mm, the SUV is >2.5, or the FDG uptake is greater than that of the surrounding tissue, it is a metastatic lymph node.
CONCLUSION CONCLUSIONS
In conclusion, different imaging techniques show metastatic lymph nodes in different ways. Combining the patient's medical history with the symptoms of the aforementioned lymph nodes, together with one or more imaging techniques, is important to diagnose para-aortic lymph nodes in cervical cancer.

Identifiants

pubmed: 37321631
doi: 10.1177/02841851231179178
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2611-2617

Auteurs

Minying Zhu (M)

Department of Gynecological Oncology, Cancer Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.

Qingchan Zhuo (Q)

Department of Gynecological Oncology, Cancer Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.

Wenci Liu (W)

Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.

Chengnong Guan (C)

Department Cancer Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.

Yufang Zuo (Y)

Department of Gynecological Oncology, Cancer Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.

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Classifications MeSH