İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2025 · article

Evaluation of Lymph Nodes Using a Combination of Advanced Sonographic Techniques: Superb Microvascular Imaging and Shear Wave Elastography

ISSN0091-2751
YÖKSİS OpenAlex Açık erişim · bronze
Yıl2025
Atıf3OpenAlex
Yüzdelik%88,4
FWCI2,481,00 = dünya ortalaması
Scopus (SJR)Q3
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıJournal of Clinical Ultrasound
  • Katalog eşleşmesi (ISSN)Journal of Clinical Ultrasound
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

PURPOSE: To evaluate the diagnostic performance of a novel combination of advanced sonographic techniques in distinguishing between malignant and benign lymph nodes. METHODS: A total of 59 patients with enlarged lymph nodes were evaluated with conventional ultrasound (US), superb microvascular imaging (SMI), and shear wave elastography (SWE) even before ultrasound-guided percutaneous biopsy. Following the development of regression models, the diagnostic utility of univariate and multivariate parameters was evaluated using receiver operating characteristic (ROC) analysis. RESULTS: Forty-one of the 59 lymph nodes were benign. The shortest diameter, longest diameter, elasticity (kPa), velocity (m/s), and vascularity index (VI) of malignant lymph nodes were all significantly higher than those of benign lymph nodes. In univariate analysis, the AUC values for VI and SDkPa were 0.793 and 0.818, respectively, with the short axis having the highest AUC of 0.910. The diagnostic accuracy value for SDkPa was the highest (0.88). The regression model with short axis, SDkPa, and VI variables had the best diagnostic performance in the multivariate analysis (AUC 0.967; 0.89 sensitivity, 0.95 specificity, 0.89 PPV, 0.95 NPV, and 0.93 accuracy). CONCLUSION: The combination of SMI and SWE results in a highly reliable diagnostic model for differentiating between malignant and benign lymph nodes.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

3atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yazarlar

9
  1. NUSRET SEHER SELÇUK ÜNİVERSİTESİ 1
  2. ALAADDİN NAYMAN SELÇUK ÜNİVERSİTESİ 2
  3. İSMAİL DİLEK 3
  4. SEYİT EROL 4
  5. AYŞE ARI 5
  6. AHMET BAYTOK 6
  7. HALİL ÖZER 7
  8. NEVZAT SERDAR UĞRAŞ SELÇUK ÜNİVERSİTESİ 8
  9. MUSTAFA KOPLAY 9