Bibliothek

feed icon rss

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    ISSN: 1573-7217
    Schlagwort(e): breast cancer ; intravenous digital subtraction angiography ; axillary lymph node metastasis ; neovascularization of lymph nodes ; microvascular density ; antibody to platelet/endothelial cell adhesion molecule
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Medizin
    Notizen: Abstract Accurate predication of axillary node status by non-invasive diagnostic method would be of great value in cases of breast cancer. There have been few reports advocating digital subtraction angiography (DSA) as specifically advantageous for the detection of lymph node metastasis. IV (intravenous)-DSA was carried out on 42 patients with breast carcinoma using a DSA system with a matrix of 1024 × 1024×pixels. When a mass became stained in the axilla, it was considered to be metastatic. An immunohistochemical technique with JC70 antibody to platelet/endothelial cell adhesion molecules was used to evaluate the microvascular density (MVD) of the axillary lymph nodes. IV-DSA achieved a 76.2% sensitivity, 85.7% specificity, and 81.0% accuracy. The average MVD with JC70 antibody was 97.7 ± 44.4 in metastatic and 62.9 ± 23.6 in nonmetastatic nodes. MVD was significantly higher in the cancerous than in the noncancerous regions within lymph nodes. The MVD was 105 ± 38.4 in DSA-N(+) cases and was 57.8 ± 21.9 in DSA-N(−) cases, and the difference was statistically significant. In conclusion, IV-DSA is a useful diagnostic modality for detection of axillary lymph node metastasis. This new modality predicts lymph node status by assessing the neovascularization of the lymph node.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...