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Makale detayı · 2020 · article

Correlation of Prostate-Imaging Reporting and Data Scoring System scoring on multiparametric prostate magnetic resonance imaging with histopathological factors in radical prostatectomy material in Turkish prostate cancer patients: a multicenter study of the Urooncology Association

ISSN2287-8882
YÖKSİS OpenAlex Açık erişim · gold
Yıl2020
Atıf31OpenAlex
Yüzdelik%89,8
FWCI2,121,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıProstate International
  • Katalog eşleşmesi (ISSN)Prostate International
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Histopathological features after radical prostatectomy (RP) provide important information for the prognosis of prostate cancer (PCa). The possible correlations between Prostate-Imaging Reporting and Data Scoring System (PIRADS) scores in multiparametric magnetic resonance imaging (mpMRI) may also be predictive for prognosis. In this study, we aimed to evaluate the correlation of PIRADS scores with histopathological data. A total of 177 patients who underwent preoperative mpMRI and RP for PCa from eight institutions were included in the study. Correlation of PIRADS score in preoperative mpMRI with adverse histopathological factors in RP specimen was investigated using univariate and multivariate analyses. The relationship between PIRADS score and postoperative extracapsular extension, lymphovascular invasion, and seminal vesicle involvement was significant (P < 0.001, P = 0.032, and P = 0.007, respectively). Although the PIRADS score was significantly correlated with the number of dissected lymph nodes (p = 0.026), it had no significant correlation with the number of positive nodes (P = 0.611). Total Gleason score, extracapsular extension, seminal vesicle invasion, and number of lymph nodes were found to be independent factors, which correlated with high PIRADS scores in ordinal logistic regression analysis. PIRADS scoring system in mpMRI showed a statistically significant correlation with adverse histopathological factors in RP specimen. A higher PIRADS score may help to predict a higher Gleason score, indicating clinically important PCa as well as poor prognotic factors such as extracapsular extension, lymphovascular invasion, and seminal vesicle invasion that may indicate a higher risk of recurrence and the need for additional treatment.

Konular

Atıflar

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

31atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 8 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2021 Programming Of Energy Metabolism In Prostate Carcinoma: In Silico AnalysisAtıf 2 · OpenAlex
  2. 2021 Programming of energy metabolism in prostate carcinoma: In silico AnalysisAtıf 2 · OpenAlex
  3. 2026 Is targeted biopsy necessary for Prostate Imaging Reporting and Data System 3 lesions?Atıf 0 · OpenAlex
  4. 2026 Is targeted biopsy necessary for Prostate Imaging Reporting and Data System 3 lesions?Atıf 0 · OpenAlex
  5. 2023 Determination of the PSA Cut-off Value to Predict the Clinically Significant Prostate Cancer in Patients with Positive Multiparametric MRI: A Population-based StudyAtıf 0 · OpenAlex
  6. 2023 Determination of the PSA Cut-off Value to Predict the Clinically Significant Prostate Cancer in Patients with Positive Multiparametric MRI: A Population-based StudyAtıf 0 · OpenAlex
  7. 2023 Determination of the PSA Cut-off Value to Predict the Clinically Significant Prostate Cancer in Patients with Positive Multiparametric MRI: A Population-based StudyAtıf 0 · OpenAlex
  8. 2021 Increased Prostate Imaging-Reporting and Data System Scores in Multiparametric Magnetic Resonance Imaging May Predict More Extensive Disease in Radical Prostatectomy SpecimensAtıf 0 · OpenAlex

Yazarlar

12
  1. FUAT KIZILAY 1
  2. SERDAR ÇELİK 2
  3. TEVFİK SİNAN SÖZEN 3
  4. BORA ÖZVEREN ACIBADEM MEHMET ALİ AYDINLAR ÜNİVERSİTESİ 4
  5. SAADETTİN YILMAZ ESKİÇORAPÇI 5
  6. MAHİR BÜLENT ÖZGEN 6
  7. ABDURRAHİM HALUK ÖZEN 7
  8. BÜLENT AKDOĞAN 8
  9. GÜVEN ASLAN 9
  10. KAMİL FEHMİ NARTER 10
  11. AHMET ÇAĞ ÇAL 11
  12. Levent Türkeri 12