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Scopus 🔓 Açık Erişim YÖKSİS DOI Eşleşti SJR Q3

Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone

Turkish Journal of Medical Sciences · Ocak 2023

YÖKSİS DOI Eşleşmesi Bulundu

Bu Scopus makalesi YÖKSİS veritabanında da kayıtlı. Aşağıda YÖKSİS verilerini görebilirsiniz.

YÖKSİS Kayıtları
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
Turkish Journal of Medical Sciences · 2023 SCI-Expanded
Öğr. Gör. AHMET BAYTOK →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
Turkish Journal Of Medical Sciences · 2023 SCI-Expanded
Doç. Dr. ABİDİN KILINÇER →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS · 2023 SCI-Expanded
Prof. Dr. MUSTAFA KOPLAY →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS · 2023 SCI-Expanded
Prof. Dr. SERDAR GÖKTAŞ →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
Turkish Journal Of Medical Sciences · 2023 SCI-Expanded
Prof. Dr. MEHMET KAYNAR →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS · 2023 SCI-Expanded
Prof. Dr. MEHMET KAYNAR →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
Turkish Journal Of Medical Sciences · 2023 SCI-Expanded
Doç. Dr. HALİL ÖZER →
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS · 2023 SCI-Expanded
Dr. Öğr. Üyesi NUSRET SEHER →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 20 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
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Evaluation of 48 week Response of Treatment Naive Chronic Hepatitis B Patients to 0 5 mg day Entecavir
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Pregnancy associated plasma protein A and procalcitonin as markers of myocardial injury in patients with acute coronary syndrome
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Pregnancy associated plasma protein A and procalcitonin as markers of myocardial injury in patients with acute coronary syndrome
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Hypo and hypervolemic edema in children with steroid sensitive nephrotic syndrome
2015 ISSN: 13000144 SCI-Expanded Q3
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Makale Bilgileri

ISSN13000144
Yayın TarihiOcak 2023
Cilt / Sayfa53 · 701-711
Erişim🔓 Açık Erişim
Özet Background/aim: Texture analysis (TA) provides additional tissue heterogeneity data that may assist in differentiating peripheral zone (PZ) lesions in multiparametric magnetic resonance imaging (mpMRI). This study investigates the role of magnetic resonance imaging texture analysis (MRTA) in detecting clinically significant prostate cancer (csPCa) in the PZ. Materials and methods: This retrospective study included 80 consecutive patients who had an mpMRI and a prostate biopsy for sus-pected prostate cancer. Two radiologists in consensus interpreted mpMRI and performed texture analysis based on their histopathology. The first-, second-, and higher-order texture parameters were extracted from mpMRI and were compared between groups. Univariate and multivariate logistic regression analyses were performed using the texture parameters to determine the independent predictors of csPCa. Receiver operating characteristic (ROC) curve analysis was conducted to assess the diagnostic performance of the texture parameters. Results: In the periferal zone, 39 men had csPCa, while 41 had benign lesions or clinically insignificant prostate cancer (cisPCa). The majority of texture parameters showed statistically significant differences between the groups. Univariate ROC analysis showed that the ADC mean and ADC median were the best variables in differentiating csPCa (p < 0.001). The first-order logistic regression model (mean + entropy) based on the ADC maps had a higher AUC value (0.996; 95% CI: 0.989–1) than other texture-based logistic regression models (p < 0.001). Conclusion: MRTA is useful in differentiating csPCa from other lesions in the PZ. Consequently, the first-order multivariate regression model based on ADC maps had the highest diagnostic performance in differentiating csPCa.

Yazarlar (8)

1
Halil Özer
ORCID: 0000-0003-1141-1094
2
M. Koplay
ORCID: 0000-0001-7513-4968
3
Ahmet Baytok
4
N. Seher
ORCID: 0000-0003-2296-556X
5
Lütfi Saltuk Demir
6
Abidin Kılınçer
7
Mehmet Kaynar
ORCID: 0000-0002-6957-9060
8
Serdar Goktas
ORCID: 0000-0001-6538-7187

Anahtar Kelimeler

magnetic resonance imaging Prostate cancer radiomics texture analysis

Kurumlar

Necmettin Erbakan Üniversitesi
Meram Turkey
Selçuk Tip Fakültesi
Konya Turkey
Scimago Dergi (ISSN Eşleşmesi)
Turkish Journal of Medical Sciences
Q3
SJR Skoru0,386
H-Index44
YayıncıTUBITAK
ÜlkeTurkey
Medicine (miscellaneous) (Q3)
Dergi sayfasına git

Metrikler

5
Atıf
8
Yazar
4
Anahtar Kelime

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