Journals / İzmir Eğitim ve Araştırma Hastanesi Tıp Dergisi / 2021 / Cilt: 25 - Sayı: 4

PHARMACOKINETIC ANALYSIS OF THE PROSTATE GLAND, AND CORRELATION OF PHARMACOKINETIC PARAMETERS WITH BENIGN-MALIGN DISEASES

PROSTAT BEZİNİN FARMAKOKİNETİK ANALİZİ VE BENİGN-MALİGN HASTALIKLAR İLE FARMOKOKİNETİK PARAMETRELERİN KORELASYONU

Pages
377–385
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

PI-RADS is expected to evolve in the future ve rsions, with setting up the international standards for pharmacokinetic analysis in MpMRI.

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Objective & Hypothesis:ntroduction: The aim of this prospective study is to evaluate the contribution of quantitative and semi- quantitative parameters of multiparametric magnetic resonance imaging in di stinguishing prostate cancer (PCa) from benign lesions and to examine the relationship between pathological cancer grade (ISUP score) and quantitative and semi-quantitative parameters.
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Key Findings & Data:The MpMRI images were evaluated by two radiologists, based on PI-RADSv2.1 guideline before the biopsy.
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Conclusion & Impact:PI-RADS is expected to evolve in the future ve rsions, with setting up the international standards for pharmacokinetic analysis in MpMRI.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

ntroduction: The aim of this prospective study is to evaluate the contribution of quantitative and semi- quantitative parameters of multiparametric magnetic resonance imaging in di stinguishing prostate cancer (PCa) from benign lesions and to examine the relationship between pathological cancer grade (ISUP score) and quantitative and semi-quantitative parameters. Material and Method : Patients who underwent MpMRI and then TRUS-guided cognitive fusion biopsy were included in this prospective study. The MpMRI images were evaluated by two radiologists, based on PI-RADSv2.1 guideline before the biopsy. Quantitative and semi-quantitative parameters (Ktrans, Kep, Ve, iAUC, chi2, W-in, W- out, TTP, AT, PEI, iAUC*), of normal peripheral zone(PZ) and lesions, were recorded. Correlation of the histopathological results with pharmacokinetic parameters were evaluated. The lesions with a pathological GS of ≥6 were considered as malignant. Results: A total of 84 patients and 106 lesions were included in this study. In all malignant lesions, a distribution of 37.2%, 13.9%, 13.9%, 13.9%, and 20.9% was observed in 1-2-3-4-5 groups, respectively, according to ISUP grades. Pharmacokinetic analysis proved that Ktrans and Kep mean values were highest in the PCa. The Chi2 value was the highest in the cancer group. The W-in value was the highest in benign prostatic tissue and the lowest in the normal PZ. The W-out value was the lowest in the PCa. The TTP value was the lowest in the PCa and the highest in the normal PZ. AT was the highest in the prostatitis group. PEI was found to be the highest in benign prostatic tissue group. Ktrans, Kep and Chi2 values were significantly higher in cancer group when the PCa and the non-PCa were compared. No statistically significant difference was found between ISUP groups in terms of means of all parameters. Conclusion: PI-RADSV2.1 scoring system is very effective in the diagnosis and treatment decision of patients with suspected prostate cancer. PI-RADS is expected to evolve in the future ve rsions, with setting up the international standards for pharmacokinetic analysis in MpMRI.

Özet

Giriş: Bu prospektif çal ışmanın amacı, kantitatif-semikantitatif multiparametrik manyetik rezonans görüntüleme (MpMRG) parametrelerinin prostat kanserini (PKa) benign prostat lezyonlarından ay ırt etmedeki katkısını değerlendirerek, kanserin patolojik derecesi (ISUP skoru) ile korelasyonunu incelemektir. Gereç ve Yöntem: Prospektif çal ışmaya Nisan-Aralık 2019 tarihleri arasında MpMRG yap ılmış, transrektal ultrasonografi e şliğinde kognitif füzyon biyopsisi (TRUS-CF Bx) ile tanı alan hastalar dahil edildi. MpMRG görüntüleri, iki radyolog tarafından PI-RADSv2.1 klavuzuna göre biyopsi öncesinde değerlendirilmiştir. Histopatolojik sonuçların farmakokinetik parametreler ile korelasyonu değerlendirildi. Normal periferik zon (PZ) ve lezyonlara ait kantitatif ve semikantitatif parametreler (Ktrans, Kep, Ve, iAUC, chi2, W-in, W-out, TTP, AT, PEI, iAUC) incelendi. Gleason Skoru (GS) ≥6 olan lezyonlar PKa olarak kabul edildi. Bulgular: Çalışmaya toplam 84 hasta, 106 lezyon dahil edildi. Tüm malign lezyonlarda ISUP gradelerine göre sırasıyla 1-2-3-4-5 gruplarda %37,2, %13,9, %13,9, %13,9, %20,9 dağılım izlendi. Farmakokinetik analizde Ktrans ve Kep ortalaması kanser grubunda en yüksek bulundu. Chi2 değeri kanser grubunda en yüksekti. W-in değeri benign prostatik dokuda en yüksek, normal PZ’de en düşüktü. W-out değeri kanser grubunda en düşük ölçülmüştür. TTP değeri kanser grubunda en düşük ve normal PZ’de en yüksek bulundu. AT prostatit grubunda en yüksekti. PEI değeri benign prostatik doku grubunda en yüksek bulunmuştur. PKa olan grup ile olmayan grup karşılaştırıldığında PKa’da Ktrans, Kkep ve Chi2 değerinin anlamlı olarak daha yüksek olduğu görülmüştür. Kantitatif ve semikantitatif parametrelerin ortalamaları açısında ISUP grupları arasında anlamlı fark bulunmamıştır. Sonuç: PI-RADSV2.1 skorlama sistemi prostat kanseri şüphesi olan hastalarda tanı ve tedavi kararında oldukça etkilidir. PI-RADS, farmakokinetik analizlerin skorlamada daha etkin kullanılarak uluslararası standartlar getirilmesi ile gelecekteki sürümlerinde gelişmeye devam edecektir.

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Cite This Article

ADİBELLİ, Z. H., BOZKURT, İ. H., ŞEFİK, E., GÜNLÜSOY, B., VARDAR, E., MOLLAMEHMETOĞLU, H., OĞUZDOĞAN, G. Y. (2022). PHARMACOKINETIC ANALYSIS OF THE PROSTATE GLAND, AND CORRELATION OF PHARMACOKINETIC PARAMETERS WITH BENIGN-MALIGN DISEASES. İzmir Eğitim ve Araştırma Hastanesi Tıp Dergisi, Cilt: 25 - Sayı: 4, 377–385. https://ajindex.com/articles/557747

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References (13)

  1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics 2021. CA Cancer J Clin 2021; 71(1): 7–33
  2. Drost FJH, Rannikko A, Valdagni R, Pickles T, Kakehi Y, Remmers S et al. Can active surveillance really reduce the harms of overdiagnosing prostate cancer? A reflection of real life clinical practice in the PRIAS study. Transl Androl Urol 2018; 7(1): 98–105
  3. Dinh AH, Melodelima C, Souchon R, Lehaire J, Bratan F, Florence ML et al. Quantitative analysis of prostate multiparametric MR images for detection of aggressive prostate cancer in the pe ripheral zone: A multiple imager study. Radiology 2016; 280(1): 117–27
  4. ACR. Prostate Imaging Reporting and Data System (PI-RADS). Am Coll Radiol [Internet] 2015
  5. Seitz M, Stanislaus P, Stief C. Detection of prostate cancer: Quantitative multiparamotric mr imaging models developed using registered correlative histopathology. MMW Fortschr Med 2008; 150(28–31): 1–12
  6. Verma S, Turkbey B, Muradyan N, Rajesh A, Cornud F, Haider MA et al. Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management. Am J Roentgenol. 2012; 198(6): 1277–88
  7. Sanz-Requena R, Martí-Bonmatí L, Pérez-Martínez R, García-Martí G. Dynamic contrast-enhanced case-control analysis in 3T MRI of prostate cancer can help to characterize tumor aggressiveness. Eur J Radiol 2016; 85(11): 2119-26
  8. Hansford BG, Peng Y, Jiang Y, Vannier MW, Antic T, Thomas S et al. Dynamic contrast-enhanced MR imaging curve-type analysis: Is it helpful in the differentiation of prostate cancer from healthy peripheral zone? Radiology 2015; 275(2): 448-57
  9. Franiel T, Hamm B, Hricak H. Dynamic contrast-enhanced magnetic resonance imaging and pharmacokinetic models in prostate cancer. Eur Radiol 2011; 21(3): 616–26
  10. Paudyal R, Poptani H, Cai K, Zhou R, Glickson JD. Impac t of transvascular and cellular-interstitial water exchange on dynamic contrast-enhanced magnetic resonance imaging estimates of blood to tiss ue transfer constant and blood plasma volume. J Magn Reson Imaging 2013; 37(2): 435-44
  11. Fennessy FM, Mckay RR, Beard CJ, Taplin ME, Tempany CM. Dynamic contrast-enhanced magnetic resonance imaging in prostate cancer clinical trials: Potential roles and possible pitfalls. Transl Oncol 2014; 7(1): 120-9
  12. Al-Khalil S, Ibilibor C, Cammack JT, de Riese W. Association of prostate volume with incidence and aggressiveness of prostate cancer. Res Reports Urol 2016; 8: 201-5
  13. Greer MD, Shih JH, Lay N, Barrett T, Bittenc