Endoscopic ultrasound assessment and tissue acquisition of mediastinal and abdominal lymph nodes
Autor: | Nicole Brighi, Anna Cominardi, Pietro Fusaroli, Andrea Lisotti, Giacomo Tamanini |
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Přispěvatelé: | Tamanini G., Cominardi A., Brighi N., Fusaroli P., Lisotti A. |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Endoscopic ultrasound
medicine.medical_specialty medicine.diagnostic_test business.industry Biopsy Gastroenterology Cancer Minireviews medicine.disease Endoscopic ultrasound-guided tissue acquisition digestive system diseases Endoscopic ultrasound-fine needle aspiration Endoscopic ultrasound-fine needle biopsy Tissue acquisition Aspiration Oncology Abdominal lymph nodes medicine Radiology business |
Zdroj: | World Journal of Gastrointestinal Oncology |
ISSN: | 1948-5204 |
Popis: | The differential diagnosis between benign and malignant lymph nodes (LNs) has a fundamental role in the characterization and staging of malignant conditions, as well as in subsequent patients' management. All imaging modalities (i.e. computed tomography and magnetic resonance imaging) rely mainly on size; endoscopic ultrasound (EUS) criteria based on B-mode evaluation and Doppler features fail to adequately characterize with high specificity LNs nature. The introduction of EUS-elastography and contrast-enhanced harmonic EUS are useful techniques to increase the diagnostic yield in identifying metastatic LNs, to identify which suspicious LN should require pathological characterization and, finally, to target tissue acquisition. EUS-guided tissue acquisition (EUS-TA) is increasingly being used for diagnosing lymphadenopathy whenever the characterization modifies patients' subsequent management and when no superficial LN is accessible. Since target therapy are currently available (i.e. lung cancer, breast cancer), EUS-TA of malignant LNs could be required to identify tumor biology. In this field, both fine needle aspiration and biopsy needles are able to guarantee accurate results with almost perfect specificity and sub-optimal sensitivity. We finally propose a diagnostic algorithm based on most recent, high-level evidence for the diagnostic approach to suspected LNs assessment. |
Databáze: | OpenAIRE |
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