Scopus Eşleşmesi Bulundu
7
Atıf
51
Cilt
972-980
Sayfa
🔓
Açık Erişim
Özet
Background/aim: To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus disease 2019 (COVID-19) Materials and methods: The size and parenchymal structure of the spleen in 91 patients who underwent thoracic CT examination due to COVID-19 were evaluated. For the evaluation of parenchymal heterogeneity, CT texture analysis was performed using dedicated software (Olea Medical, France). The texture analysis of each case consisted of 15 first-order intensity-based features, 17 gray level co-occurrence matrix-based features, and 9 gray level run length matrix-based features. Results: A total of 91 patients (45 males, 46 females) with a mean age of 54.31 ± 16.33 years (range: 18–81) were included in the study. A statistically significant decrease in spleen size was seen in the follow-up CT examinations (p < 0.001) whereas no statistically significant difference was found between the Hounsfield unit (HU) values. The radiomics consisted of first-order intensity-based features such as 90th percentile, maximum, interquartile range, range, mean absolute deviation, standard deviation, and variance, all of which showed statistically significant differences (p-values: < 0.001, < 0.001, 0.001, 0.003, 0.001, 0.001, and 0.004, respectively). “Correlation” as a gray level co-occurrence matrix-based feature and “gray level nonuniformity” as a gray level run length matrix-based feature showed statistically differences (p-values: 0.033 and < 0.001, respectively). Conclusions: Although COVID-19 manifests with lung involvement in the early stage, it can also cause systemic involvement, and the spleen may be one of its target organs. A decrease in the spleen size and parenchymal microstructure changes can be observed in the short follow-up time. It is hoped that the changes in the parenchymal microstructure will be demonstrated by a noninvasive method: texture analysis.
Web of Science Eşleşmesi Bulundu
8
WoS Atıf
51
Cilt
Article
Belge Türü
Kaynak: TURKISH JOURNAL OF MEDICAL SCIENCES
· s. 972-980
Anahtar Kelimeler (WoS)
Havuzumuzdaki Atıflar 0
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Scimago Dergi Bilgisi
Otomatik ISSN Eşleştirmesi
2021 yılı verileri
Turkish Journal of Medical Sciences
Q3
SJR Quartile
0,440
SJR Skoru
44
H-Index
Kategoriler: Medicine (miscellaneous) (Q3)
Alanlar: Medicine
Ülke: Turkey
· TUBITAK
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Anahtar Kelimeler
WoS |
Bir kelimeye tıklayıp ilgili kaynaktaki yayınları görün.
Makale Bilgileri
Dergi
TURKISH JOURNAL OF MEDICAL SCIENCES
ISSN
1303-6165
Yıl
2021
/ 1. ay
Cilt / Sayı
51
/ 3
Sayfalar
972 – 980
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
SCI-Expanded
JCR Quartile
Q3
Teşvik Puanı
1,80
· YÖKSİS Akademik Teşvik
Yayın Dili
Türkçe
Kapsam
Uluslararası
Toplam Yazar
5 kişi
Erişim Türü
Elektronik
Alan
Sağlık Bilimleri Temel Alanı
TIP
YÖKSİS Yazar Kaydı
Yazar Adı
BATUR ABDUSSAMET, KILINÇER ABİDİN, ATEŞ FATİH, AKTUĞ DEMİR NAZLIM, ERGÜN RECAİ
YÖKSİS ID
5284399