KLİNİK ANLAMLI PROSTAT KANSERİ TESPİTİNDE PI-RADSv2 SKORU SINIR DEĞERİNİN TESPİTİ

Giriş: Prostat kanseri erkeklerin 2. En sık kanseridir. Prostat manyetik rezonans görüntüleme, klinik anlamlı prostat kanseri (KAK) tespitinde umut vaad etmekdir. Bu çalışmada, KAK tanısında prostat görüntüleme raporlandırma vebilgi sistemi 2. versiyon (PI-RADSv2) skoru sınır değerinin tespiti amaçlanmıştır.Gereç ve Yöntem: Bu bir retrospektif çalışma olupHaziran 2018 ile Mart 2019 tarihleri arasında, multiparametrikprostat manyetik rezonans görüntüleme ve 12 kadran sistemik prostat biyopsisi yapılan 133 olguyukapsamaktadır. Lezyonlar, PI-RADSv2 rehberine göre, iki radyolog tarafından consensus ile sınıflandı.PI-RADS skoru sınır değeri skor ≥ 3, ≥ 3+1 ve ≥ 4 olacak şekild eayrı ayrı ele alındı. Bu sınır değerler için,Gleason ≥ 3+4 tümör tanısında, alıcı çalışma karakteristik eğrisi (ROC) kullanılarak, duyarlılık, özgüllük, pozitif venegatif öngörü değeri ve eğrinin altında kalan alan (EAA) hesaplandı. EAA değerleri Delong testi ile karşılaştırıldı.Bulgular: PI-RADSv2 kategori 1-3, 3+1 ve 4-5 vaka sayıları, sırasıyla 49, 10 ve 74’tü. PI-RADS skoru ≤ 2olanlarda yalnızca 1 KAK (Gleason ≥ 3+4) görüldü.KAK tespitinde duyarlılık, özgüllük, pozitif ve negative öngörü değeri sırasıyla, skor ≥ 3 için 98.3%, 50.7%, 62.1%,97.4%, skor ≥ 3+1 için 88.3%, 71.2%, 71.6%,88.1% veskor ≥ 4 için 88.3%, 71.2%, 71.6%, 88.1% bulundu. EAA,skor ≥ 3 için 0.745, skor ≥ 3+1 için 0.760 veskor ≥ 4 için 0.798’di. Skor ≥ 3, ≥ 3+1 ve ≥ 4 arasında EAA’laraçısından anlamlı fark yoktu.Sonuç: Dinamik kontrastlı incelemede pozitiflik biyopsi yönetimini değiştirmemektedir. Skor ≥ 3 lezyonlarörneklenmelidir.

DETERMINATION OF OPTIMAL CUT-OFF PI-RADSv2 SCORE IN CLINICALLYSIGNIFICANT PROSTATE CANCER DETECTION

Introduction: Prostate cancer is the second leading cancer of men. Prostate magnetic resonance imaging is promising in detection of clinically significant prostate cancer (CSca). In this study, it was aimed to determine the cut-off Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) score in diagnosis of CSca. Material and Method: This retrospective study included 133 patients who underwent multiparametric prostate magnetic resonance imaging (mpMRI) and 12 quadrant systematic prostate biopsy and/or radical prostatectomy between January 2018 and March 2019. Lesions were categorized using the PI-RADSv2 guideline by two radiologists with consensus. The cut-off PI-RADSv2 scores were evaluated separately as score ≥ 3, score ≥ 3+1, and score ≥ 4. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were calculated for each cut-off in the diagnosis of Gleason ≥ 3+4 using receiver operating characteristic (ROC). AUCs were compared with Delong test. Results: The numbers of patients in PI-RADSv2 category 1-3, 3+1, and 4-5 were 49, 10, and 74, respectively. There was only one CSca (Gleason ≥ 3+4) with PI-RADS scored ≤ 2. In detection of CSca, sensitivity, specificity, PPV, and NPV were 98.3%, 50.7%, 62.1%, and 97.4% in score ≥ 3, 91.7%, 60.3%, 65.5%, and 89.8% in score ≥ 3+1 and, 88.3%, 71.2%, 71.6%, and 88.1% in score ≥ 4, respectively. The AUCs were 0.745 in score ≥ 3, 0.760 in score ≥ 3+1, and 0.798 in score ≥ 4. There was no statistical difference between AUCs of ≥ 3, ≥ 3+1, and ≥ 4. Conclusion: Positivity in dynamic contrast enhancement may not change the management of biopsy. The lesions with scored ≥ 3 should be sampled.

___

  • 1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68(6): 394-424.
  • 2. Turkbey B, Brown AM, Sankineni S, Wood BJ, Pinto PA, Choyke PL. Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer. CA Cancer J Clin 2016; 66(4): 326-36.
  • 3. Chamie K, Sonn GA, Finley DS, Tan N, Margolis DJ, Raman SS et al. The role of magnetic resonance imaging in delineating clinically significant prostate cancer. Urology 2014; 83(2): 369-75.
  • 4. Mertan FV, Berman R, Szajek K, Pinto PA, Choyke PL, Turkbey B. Evaluating the role of mpMRI in prostate cancer assessment. Expert Rev Med Devices 2016; 13(2): 129-41.
  • 5. NCCN Guidelines on Prostate Cancer 2019. (Version 1.2020) [Available from: https://www.nccn.org/professionals/ physician_gls/pdf/prostate.pdf.
  • 6. EAoU. EAU - ESTRO - ESUR - SIOG Guidelines on Prostate Cancer 2018 [Available from: https://uroweb.org/wpcontent/uploads/EAU-ESUR-ESTRO-SIOG-Guidelines-on-Prostate-Cancer-large-text-V2.pdf.
  • 7. Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ et al. PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol 2016; 69(1): 16-40.
  • 8. Rosenkrantz AB, Verma S, Choyke P, Eberhardt SC, Eggener SE, Gaitonde K et al. Prostate magnetic resonance imaging and magnetic resonance imaging targeted biopsy in patients with a prior negative biopsy: a consensus statement by AUA and SAR. J Urol 2016; 196(6): 1613-8.
  • 9. Alabousi M, Salameh JP, Gusenbauer K, Samoilov L, Jafri A, Yu H, et al. Biparametric vs multiparametric prostate magnetic resonance imaging for the detection of prostate cancer in treatment-naïve patients: a diagnostic test accuracy systematic review and meta-analysis. BJU Int. 2019; 124(2): 209-20.
  • 10. Woo S, Suh CH, Kim SY, Cho JY, Kim SH, Moon MH. Head-to-head comparison between biparametric and multiparametric mri for the diagnosis of prostate cancer: a systematic review and meta-analysis. AJR Am J Roentgenol. 2018; 211(5): W226-w41.
  • 11. Smith CP, Harmon SA, Barrett T, Bittencourt LK, Law YM, Shebel H et al. Intra- and interreader reproducibility of PIRADSv2: A multireader study. J MagnReson Imaging. 2019;49(6):1694-703.
  • 12. Glazer DI, Mayo-Smith WW, Sainani NI, Sadow CA, Vangel MG, Tempany CM et al. Interreader agreement of prostate imaging reporting and data system version 2 using an in-bore MRI-guided prostate biopsy cohort: a single institution's initial experience. AJR Am J Roentgenol. 2017;209(3):W145-w51.
  • 13. Kohestani K, Wallström J, Dehlfors N, Sponga OM, Månsson M, Josefsson A et al. Performance and inter-observer variability of prostate MRI (PI-RADS version 2) outside high-volume centres. Scand J Urol. 2019; 53(5): 304-11.
  • 14. Rosenkrantz AB, Ginocchio LA, Cornfeld D, Froemming AT, Gupta RT, Turkbey B et al. Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. Radiology 2016; 280(3):793-804.
  • 15. Girometti R, Giannarini G, Greco F, Isola M, Cereser L, Como G et al. Interreader agreement of PI-RADS v. 2 in assessing prostate cancer with multiparametric MRI: A study using whole-mount histology as the standard of reference. J Magn Reson Imaging. 2019; 49(2): 546-55.
  • 16. Muller BG, Shih JH, Sankineni S, Marko J, Rais-Bahrami S, George AK et al. Prostate cancer: interobserver agreement and accuracy with the revised prostate imaging reporting and data system at multiparametric MR imaging. Radiology 2015; 277(3): 741-50.
  • 17. Borofsky S, George AK, Gaur S, Bernardo M, Greer MD, Mertan FV et al. What are we missing? false-negative cancers at multiparametric MR imaging of the prostate. Radiology 2018; 286(1): 186-95.
  • 18. Moldovan PC, Van den Broeck T, Sylvester R, Marconi L, Bellmunt J, van den Bergh RCN, et al. What is the negative predictive value of multiparametric magnetic resonance imaging in excluding prostate cancer at biopsy? a systematic review and meta-analysis from the European Association of Urology Prostate Cancer Guidelines Panel. Eur Urol 2017; 72(2): 250-66.
  • 19. Zhang L, Tang M, Chen S, Lei X, Zhang X, Huan Y. A meta-analysis of use of Prostate Imaging Reporting and Data System Version 2 (PI-RADS V2) with multiparametric MR imaging for the detection of prostate cancer. Eur Radiol 2017; 27(12): 5204-14.
  • 20. Woo S, Suh CH, Kim SY, Cho JY, Kim SH. Diagnostic Performance of Prostate Imaging Reporting and Data System Version 2 for detection of prostate cancer: a systematic review and diagnostic meta-analysis. Eur Urol 2017; 72(2): 177-88.
  • 21. Barkovich EJ, Shankar PR, Westphalen AC. A Systematic Review of the Existing Prostate Imaging Reporting and Data System Version 2 (PI-RADSv2) Literature and Subset Meta-Analysis of PI-RADSv2 Categories Stratified by Gleason Scores. AJR Am J Roentgenol 2019; 212(4): 847-54.
  • 22. Schlenker B, Apfelbeck M, Armbruster M, Chaloupka M, Stief CG, Clevert DA. Comparison of PIRADS 3 lesions with histopathological findings after MRI-fusion targeted biopsy of the prostate in a real world-setting. Clin HemorheolMicrocirc 2019; 71(2): 165-70.
  • 23. Sheridan AD, Nath SK, Syed JS, Aneja S, Sprenkle PC, Weinreb JC et al. Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI. American Journal of Roentgenology 2017; 210(2): 347-57.
  • 24. Ahmed HU, El-ShaterBosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 2017; 389(10071): 815-22.
  • 25. Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH et al. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N Engl J Med. 2018; 378(19): 1767-77.
  • 26. Mehralivand S, Bednarova S, Shih JH, Mertan FV, Gaur S, Merino MJ et al. Prospective Evaluation of PI-RADS™ Version 2 Using the International Society of Urological Pathology Prostate Cancer Grade Group System. J Urol 2017; 198(3): 583- 90.
  • 27. Druskin SC, Ward R, Purysko AS, Young A, Tosoian JJ, Ghabili K et al. Dynamic contrast enhanced magnetic resonance imaging improves classification of prostate lesions: a study of pathological outcomes on targeted prostate biopsy. J Urol 2017; 198(6): 1301-8.
  • 28. Kang Z, Min X, Weinreb J, Li Q, Feng Z, Wang L. Abbreviated biparametric versus standard multiparametric MRI for diagnosis of prostate cancer: a systematic review and meta-analysis. AJR Am J Roentgenol 2019; 212(2): 357-65.
İzmir Eğitim ve Araştırma Hastanesi Tıp Dergisi-Cover
  • ISSN: 1305-5151
  • Başlangıç: 1995
  • Yayıncı: İzmir Bozyaka Eğitim ve Araştırma Hastanesi
Sayıdaki Diğer Makaleler

HEPSİDİN-FERROPORTİN AKSI VE COVID-19

Tahir BELİCE, Özden YILDIRIM AKAN

AÇIK REDÜKSİYON VE İNTERNAL FİKSASYON UYGULANAN EKLEM İÇİ KALKANEUS KIRIKLARINDA ORTA VE UZUN DÖNEM KLİNİK SONUÇLARI ETKİLEYEBİLECEK FAKTÖRLERİN DEĞERLENDİRİLMESİ

İhsan AKAN, Ali REİSOĞLU, Cemal KAZIMOĞLU, Ahmet US, Haluk AĞUŞ, Ali ERTUĞRUL

EVALUATION OF THE RESULTS OF HYPERACUTE SURGERY FOR INTRACEREBRAL HEMATOMAS 4 CM OR MORE IN SIZE ORGINATING FROM BASAL GANGLIA

Ümit KOCAMAN, Hakan YILMAZ

KLİNİK ANLAMLI PROSTAT KANSERİ TESPİTİNDE PI-RADSv2 SKORU SINIR DEĞERİNİN TESPİTİ

Sacit Nuri GÖRGEL, Şebnem KARASU, Mehmet COŞKUN, Engin ULUÇ, Merve HOROZ DÖNMEZ, İrfan ÖCAL

OKUL PSİKOLOJİK DANIŞMANLARININ RUHSAL HASTALIKLARA YÖNELİK İNANÇ VE TUTUMLARI

Seda Kırcı ERCAN, Dursun Hakan DELİBAŞ

COVID-19 PANDEMİ PERİYODUNDA BİR AYLIK CERRAHİ ONKOLOJİ KLİNİK DENEYİMİMİZ

Ömer YALKIN, Nidal İFLAZOĞLU, Yener UZUNOĞLU, Muhammed DOĞANGÜN, Serra TOPAL

BAZAL GANGLİON KAYNAKLI 4 CM VE ÜZERİ İNTRASEREBRAL HEMATOMLARDA UYGULANAN HİPERAKUT CERRAHİNİN SONUÇLARININ DEĞERLENDİRİLMESİ

Ümit KOCAMAN, Hakan YILMAZ

FEMUR INTRAMEDÜLLER ÇIVILEME: SUPIN VE LATERAL DEKÜBIT POZISYONDA MANUEL TRAKSIYONUN KARŞILAŞTIRILMASI

Tahir ÖZTÜRK, Çağatay Eyüp ZENGİN, Hakan ERTEM, Mehmet Burtaç EREN, Orhan BALTA, Osman DEMİR

DETERMINATION OF OPTIMAL CUT-OFF PI-RADSv2 SCORE IN CLINICALLY SIGNIFICANT PROSTATE CANCER DETECTION

Mehmet COŞKUN, Merve HOROZ DÖNMEZ, Sacit GÖRGEL, İrfan ÖCAL, Şebnem KARASU, Muhsin Engin ULUÇ

SERVİKAL BLOK ALTINDA KAROTİS ENDARTEREKTOMİ OPERASYONU SONUÇLARIMIZ

Didem Melis ÖZTAŞ, Murat UĞURLUCAN, Ömer Ali SAYIN, Mustafa Özer ULUKAN, İbrahim ERDİNÇ, Metin Onur BEYAZ, Mert MERİÇ, Yılmaz ÖNAL, YAHYA YILDIZ, Zerrin SUNGUR, Ibrahim Ufuk ALPAGUT