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Makale detayı · 2020 · article

Computed tomography characteristics of multiple myeloma and other osteolytic metastatic bone lesions

ISSN0284-1851
YÖKSİS OpenAlex
Yıl2020
Atıf14OpenAlex
Atıf13Semantic Scholar · 1 etkili
Yüzdelik%81,1
FWCI1,151,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıActa Radiologica
  • Katalog eşleşmesi (ISSN)Acta Radiologica
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Background Differentiation of multiple myeloma (MM) from osteolytic metastatic (OM) bone lesions may be critical in patients with lytic bone lesions but can be challenging for radiologists. Purpose To determine whether computed tomography (CT) can be used to distinguish between MM and other OM bone lesions. Material and Methods In this retrospective study, 320 lesions of 207 patients diagnosed with MM or OM, based on biopsy or clinical examination, were evaluated. Eight qualitative features were evaluated by two radiologists blinded to the diagnoses. The chi-square and Fisher exact tests, and logistic regression analysis, were used to evaluate the relationships between the CT findings and diagnoses. Results High-density areas were more common in OM than MM lesions (85.2% and 19%, P < 0.001), as were perilesional sclerosis (38.9% vs. 13.2%, P < 0.001), heterogeneity (on non-contrast CT images, 60% vs. 19.1%, P < 0.001; on contrast enhanced CT images, 80.6% vs. 28.2%, P < 0.001), and ill-defined margins (34.6% vs. 9.1%, P < 0.001). Similarly, OM lesions showed high-density areas more than MM in evaluation of skeletal system subgroups (vertebrae, 93.8% vs. 29.8%, P < 0.0001; thoracic cage bones, 69.6% vs. 19.2%, P < 0.001; pelvic bones and sacrum, 84.8% vs. 7.7%, P < 0.001; peripheral skeletal bones, 81.5% vs. 8.3%, P < 0.001). Logistic regression analysis revealed that the presence of a high-density area in the lesion increased the probability of a metastasis 25.88-fold (R 2 = 0.516, P < 0.001). Conclusion MM and OM lesions can be differentiated by CT; OM lesions exhibit high- density areas.

Konular

Atıflar

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

14atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 3 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2023 Diagnostic value of machine learning-based computed tomography texture analysis for differentiating multiple myeloma from osteolytic metastatic bone lesions in the peripheral skeletonAtıf 11 · OpenAlex
  2. 2023 Diagnostic value of machine learning-based computed tomography texture analysis for differentiating multiple myeloma from osteolytic metastatic bone lesions in the peripheral skeletonAtıf 11 · OpenAlex
  3. 2025 Differentiating Multiple Myeloma and Osteolytic Bone Metastasis on Spinal CT Scan: A Comprehensive Study Using Convolutional Neural NetworkAtıf 0 · OpenAlex

Yazarlar

6
  1. Mutlu Uygar 1
  2. ALİ BALCI DOKUZ EYLÜL ÜNİVERSİTESİ 2
  3. GÜNER HAYRİ ÖZSAN İZMİR TINAZTEPE ÜNİVERSİTESİ 3
  4. SERMİN ÖZKAL 4
  5. Ahmet Şeyhanlı 5
  6. HAKAN ABDULLAH ÖZGÜL DOKUZ EYLÜL ÜNİVERSİTESİ 6