Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Which one is better for predicting extraprostatic extension on multiparametric MRI: ESUR score, Likert scale, tumor contact length, or EPE grade?
European Journal of Radiology · Nisan 2022
YÖKSİS Kayıtları
Which one is better for predicting extraprostatic extension on multiparametric MRI: ESUR score, Likert scale, tumor contact length, or EPE grade?
European Journal of Radiology · 2022 SCI-Expanded
Doç. Dr. HALİL ÖZER →
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Which one is better for predicting extraprostatic extension on multiparametric MRI: ESUR score, Likert scale, tumor contact length, or EPE grade?
2022 ISSN: 0720-048X SCI-Expanded Q2
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A comparative analysis of techniques for measuring tumor contact length in predicting extraprostatic extension
2024 ISSN: 0720-048X SCI-Expanded Q1
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Makale Bilgileri
ISSN0720048X
Yayın TarihiNisan 2022
Cilt / Sayfa149
Scopus ID2-s2.0-85125641088
Özet
Purpose: To evaluate the European Society of Urogenital Radiology (ESUR) score, the Likert scale, tumor contact length (TCL) > 1 cm, and EPE (extraprostatic extension) grade in predicting EPE at multiparametric magnetic resonance imaging (mp-MRI). Methods: Seventy-nine patients who underwent 3-T MRI and were histopathologically confirmed by microblocks were enrolled in this retrospective study. The index lesions were interpreted by two experienced radiologists. Apparent diffusion coefficient (ADC) values were also noted. Weighted κ statistics were used to compare interreader agreement. Univariate logistic regression analysis was performed to define independent predictors of EPE status. Multivariable logistic regression and receiver operating characteristic (ROC) analysis were performed to compare the MRI-based methods and clinical variables (ISUP grade, prostate volume and PSA density) + MRI-based methods for pathologic EPE prediction by using the area under the curve (AUC) value. Results: The mean age was 64.5 years ± 6.2. 33/79 (41.8%) patients had pathologic EPE. As ESUR score showed weak interreader agreement (κ = 0.537), Likert scale, TCL, and EPE grade showed moderate agreement (κ = 0.608, κ = 0.747, κ = 0.647 respectively). Univariate ROC analysis result showed that all MRI-based score systems, mean ADC value, the ISUP grade, prostate volume, PSA density were the best variables in predicting EPE. ROC analysis results of four MRI-based methods showed good diagnostic performance. At multivariate analysis, all clinical models showed excellent diagnostic performance. Conclusion: All four MRI-based methods had good diagnostic performance. Furthermore, consisting of both qualitative and quantitative parameters and being less reader experience dependent, EPE grade was a promising method in predicting EPE. All clinical models showed excellent diagnostic performance.
Yazarlar (7)
1
Umut Asfuroğlu
ORCID: 0000-0001-6555-6577
2
Berrak Barutcu Asfuroğlu
ORCID: 0000-0003-4556-7433
3
Halil Özer
ORCID: 0000-0003-1141-1094
4
İpek Işık Gönül
5
Nil Tokgoz
ORCID: 0000-0003-2812-1528
6
Mehmet Arda İnan
ORCID: 0000-0002-6179-2828
7
Murat Uçar
ORCID: 0000-0003-2650-0065
Anahtar Kelimeler
EPE grade
ESUR score
Extraprostatic extension
Likert scale
Multiparametric MRI
Prostate
Tumor contact length
Kurumlar
Gazi University, Faculty of Medicine
Ankara Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
European Journal of Radiology
Q1
SJR Skoru1,075
H-Index145
YayıncıElsevier Ireland Ltd
ÜlkeIreland
Medicine (miscellaneous) (Q1)
Radiology, Nuclear Medicine and Imaging (Q1)
Metrikler
27
Atıf
7
Yazar
7
Anahtar Kelime