Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 15 von 91

Details

Autor(en) / Beteiligte
Titel
Ultrasound in cervical traumatic neuromas after neck dissection in thyroid carcinoma patients: descriptive analysis and diagnostic accuracy
Ist Teil von
  • Archives of Endocrinology and Metabolism, 2023-05, Vol.67 (5), p.e000633
Ort / Verlag
Brazil: Sociedade Brasileira de Endocrinologia e Metabologia
Erscheinungsjahr
2023
Quelle
MEDLINE
Beschreibungen/Notizen
  • Cervical traumatic neuromas (CTNs) may appear after lateral neck dissection for metastatic thyroid carcinoma. If they are misdiagnosed as metastatic lymph nodes (LNs) in follow-up neck ultrasound (US), unnecessary and uncomfortable fine-needle aspiration biopsy are indicated. The present study aimed to describe US features of CTNs and to assess the US performance in distinguishing CTNs from abnormal LNs. Retrospective evaluation of neck US images of 206 consecutive patients who had lateral neck dissection as a part of thyroid cancer treatment to assess CTN´s US features. Diagnostic accuracy study to evaluate US performance in distinguishing CTNs from abnormal LNs was performed. Eight-six lateral neck nodules were selected for analysis: 38 CTNs and 48 abnormal LNs. CTNs with diagnostic cytology were predominantly hypoechogenic (100% . 45%; P = 0.008) and had shorter diameters than inconclusive cytology CTNs: short axis (0.39 cm . 0.50 cm; P = 0.03) and long axis (1.64 cm . 2.35 cm; P = 0.021). The US features with the best accuracy to distinguish CTNs from abnormal LNs were continuity with a nervous structure, hypoechogenic internal lines, short/long axis ratio ≤ 0.42, absent Doppler vascularization, fusiform morphology, and short axis ≤ 0.48 cm. US is a very useful method for assessing CTNs, with good performance in distinguishing CTNs from abnormal LNs.

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX