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Prostat kanseri tanısında PI-RADS ve LIKERT skorlama sistemlerinin karşılaştırılması ve radyolog deneyiminin katkısı

Year 2025, Volume: 50 Issue: 1, 106 - 114, 31.03.2025
https://doi.org/10.17826/cumj.1608411

Abstract

Amaç: Bu çalışmanın amacı iki skorlama sisteminin histopatolojik verilerle uyumunu ve bu uyum ile radyolog deneyimi arasındaki ilişkiyi araştırmaktır.
Gereç ve Yöntem: Prostat kanseri ön tanısı ile multiparametrik prostat MRG (mpMRI) yapılan toplam 347 hasta retrospektif olarak incelendi. Değerlendiriciler görüntüleri bağımsız olarak PI-RADS v2.1'e göre puanladı. İki hafta sonra, önceki PI-RADS v2.1 puanlarına kör olarak LIKERT sistemini kullanarak görüntüleri bağımsız olarak puanladılar. Her iki skorlama sisteminde de 1, 2 ve 3 skorları benign olarak kabul edilirken, 4 ve 5 skorları malign olarak kabul edilmiştir. Çalışma, bu skorların patoloji sonuçlarıyla korelasyonunu ve okuyucular arası uyumu araştırmıştır.
Bulgular: Hastaların yaş ortalaması 65.5±7.7 yıldı. Her iki skorlama sisteminin referans standart patoloji ile uyumunu değerlendiren kappa analizinde, uyumun radyolog deneyimi ile arttığı gözlendi. Tüm prostat için, PI-RADS v2.1 ile okuyucu 1, 2, 3 ve 4 için kappa değerleri sırasıyla 0.669, 0.669, 0.711 ve 0.771 ve LIKERT sistemi ile sırasıyla 0.589, 0.669, 0.701 ve 0.771 olarak bulundu. Eğri altında kalan alan değerleri PI-RADS için 0,901 (0,893-0,921) ve LIKERT için 0,895 (0,871-0,922) idi.
Sonuç: PI-RADS v2.1 ve LIKERT skorlama sistemleri mpMRI değerlendirmesinde benzer okuyucular arası uyum sağlamıştır. Daha az deneyimli radyologlar arasında PI-RADS v2.1 patoloji ile daha yüksek uyum gösterirken, daha deneyimli radyologlar arasında iki skorlama sistemi arasında fark gözlenmedi.

References

  • Rosenkrantz AB, Kim S, Lim RP, Hindman N, Deng FM, Babb JS et al. Prostate cancer localization using multiparametric MR imaging: comparison of Prostate Imaging Reporting and Data System (PI-RADS) and Likert scales. Radiology. 2013;269:482-92.
  • Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin. 2015;65:5-29.
  • Greer MD, Shih JH, Lay N, Barrett T, Kayat Bittencourt L, Borofsky S et al. Validation of the dominant sequence paradigm and role of dynamic contrast-enhanced imaging in PI-RADS Version 2. Radiology. 2017;285:859-69.
  • 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;27:5204-14.
  • Renard-Penna R, Mozer P, Cornud F, Barry-Delongchamps N, Bruguière E, Portalez D et al. Prostate imaging reporting and data system and likert scoring system: multiparametric mr imaging validation study to screen patients for initial biopsy. Radiology. 2015;275:458-68.
  • Sokhi HK, Wilson A, Pindoria N, McNamara C, Padhani AR, Meer Z et al. Audit of cancer yields after prostate MRI using both the PI-RADS version 2 and Likert scoring systems. Clin Radiol. 2022;77:541-7.
  • Li W, Xin C, Zhang L, Dong A, Xu H, Wu Y. Comparison of diagnostic performance between two prostate imaging reporting and data system versions: A systematic review. Eur J Radiol. 2019;114:111-9.
  • Wei CG, Zhang YY, Pan P, Chen T, Yu HC, Dai GC et al. Diagnostic Accuracy and Interobserver Agreement of PI-RADS Version 2 and Version 2.1 for the detection of transition zone prostate cancers. AJR Am J Roentgenol. 2021;216:1247-56.
  • Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-74.
  • Akkaya H., Topaloğlu A. C., Izgi N., Karaca F., Söker G., Gülek B. Radyoterapi sonrası prostat kanserinin lokal nüksünü değerlendirmede nüks raporlama skorunun (PI-RR) gözlemciler arası değişkenliğinin araştırılması: tümör boyutu ve psa önemli mi?," Van Tıp Dergisi. 2023;30:200-8.
  • Annamalai A, Fustok JN, Beltran-Perez J, Rashad AT, Krane LS, Triche BL. Interobserver agreement and accuracy in interpreting mpMRI of the prostate: a systematic review. Curr Urol Rep. 2022;23:1-10.
  • Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 update of Prostate Imaging Reporting and Data System Version 2. Eur Urol. 2019;76:340-51.
  • Costa DN, Lotan Y, Rofsky NM, Roehrborn C, Liu A, Hornberger B et al. Assessment of prospectively assigned Likert scores for target-ed magnetic resonance imaging-transrectal ultra-sound fusion biopsies in patients with suspectedprostate cancer. J Urol. 2016;195:80–7.
  • Tanaka M, Noureldin M, Miah S, Shah T. Likert vs PI-RADS v2: a comparison of two radiological scoring systems for detection of clinically significant prostate cancer. BJU Int. 2020;125:49-55.
  • Dahm P, Neuberger M, Ilic D. Screening for prostate cancer: Shaping the debate on benefits and harms. Cochrane Database Syst Rev. 2013;2013:ED000067.
  • Zawaideh JP, Sala E, Pantelidou M, Shaida N, Koo B, Caglic I et al. Comparison of Likert and PI-RADS version 2 MRI scoring systems for the detection of clinically significant prostate cancer. Br J Radiol. 2020;93:20200298.
  • Khoo CC, Eldred-Evans D, Peters M, Bertoncelli Tanaka M, Noureldin M, Miah S et al. Likert vs PI-RADS v2: a comparison of two radiological scoring systems for detection of clinically significant prostate cancer. BJU Int. 2020;125:49-55.
  • Brizmohun Appayya M, Sidhu HS, Dikaios N, Johnston EW, Simmons LA, Freeman A et al. Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI. Br J Radiol. 2018;91:20170645.
  • F Latifoltojar A, Appayya MB, Barrett T, Punwani S. Similarities and differences between Likert and PIRADS v2.1 scores of prostate multiparametric MRI: a pictorial review of histology-validated cases. Clin Radiol. 2019;74:895.e1-895.e15.
  • Akkaya H, Dilek O, Özdemir S, Taş ZA, Öztürk İS, Gülek B. Can the Gleason score be predicted in patients with prostate cancer? A dynamic contrast-enhanced MRI, (68)Ga-PSMA PET/CT, PSA, and PSA-density comparison study. Diagn Interv Radiol. 2023;29:647-55.

Comparison of PI-RADS and LIKERT scoring systems in the diagnosis of prostate cancer and the contribution of radiologist experience

Year 2025, Volume: 50 Issue: 1, 106 - 114, 31.03.2025
https://doi.org/10.17826/cumj.1608411

Abstract

Purpose: The aim of this study was to investigate the concordance of these two scoring systems with histopathological data and the relationship between this concordance and radiologist experience.
Materials and Methods: A total of 347 patients who underwent multiparametric prostate MRI (mpMRI) with a preliminary diagnosis of prostate cancer were retrospectively reviewed. The assessors independently scored the images according to PI-RADS v2.1. Two weeks later, they independently scored the images using the LIKERT system while blinded to their previous PI-RADS v2.1 scores. The study investigated the correlation of these scores with the pathology results and the inter-reader agreement.
Results: The mean age of the patients was 65.5±7.7 years. In the kappa analysis, which evaluated the concordance of both scoring systems with the reference standard pathology, it was observed that concordance increased with radiologist experience. For the entire gland, the kappa values for readers 1, 2, 3, and 4 with PI-RADS v2.1 were found to be 0.669, 0.669, 0.711, and 0.771, respectively, and with the LIKERT system, they were 0.589, 0.669, 0.701, and 0.771, respectively. The AUC values were 0.901 (0.893–0.921) for PI-RADS and 0.895 (0.871–0.922) for LIKERT.
Conclusion: The PI-RADS v2.1 and LIKERT scoring systems provided similar inter-reader agreement in evaluating mpMRI. Among less experienced radiologists, PI-RADS v2.1 demonstrated higher concordance with pathology, whereas no difference was observed between more experienced radiologists.

References

  • Rosenkrantz AB, Kim S, Lim RP, Hindman N, Deng FM, Babb JS et al. Prostate cancer localization using multiparametric MR imaging: comparison of Prostate Imaging Reporting and Data System (PI-RADS) and Likert scales. Radiology. 2013;269:482-92.
  • Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin. 2015;65:5-29.
  • Greer MD, Shih JH, Lay N, Barrett T, Kayat Bittencourt L, Borofsky S et al. Validation of the dominant sequence paradigm and role of dynamic contrast-enhanced imaging in PI-RADS Version 2. Radiology. 2017;285:859-69.
  • 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;27:5204-14.
  • Renard-Penna R, Mozer P, Cornud F, Barry-Delongchamps N, Bruguière E, Portalez D et al. Prostate imaging reporting and data system and likert scoring system: multiparametric mr imaging validation study to screen patients for initial biopsy. Radiology. 2015;275:458-68.
  • Sokhi HK, Wilson A, Pindoria N, McNamara C, Padhani AR, Meer Z et al. Audit of cancer yields after prostate MRI using both the PI-RADS version 2 and Likert scoring systems. Clin Radiol. 2022;77:541-7.
  • Li W, Xin C, Zhang L, Dong A, Xu H, Wu Y. Comparison of diagnostic performance between two prostate imaging reporting and data system versions: A systematic review. Eur J Radiol. 2019;114:111-9.
  • Wei CG, Zhang YY, Pan P, Chen T, Yu HC, Dai GC et al. Diagnostic Accuracy and Interobserver Agreement of PI-RADS Version 2 and Version 2.1 for the detection of transition zone prostate cancers. AJR Am J Roentgenol. 2021;216:1247-56.
  • Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-74.
  • Akkaya H., Topaloğlu A. C., Izgi N., Karaca F., Söker G., Gülek B. Radyoterapi sonrası prostat kanserinin lokal nüksünü değerlendirmede nüks raporlama skorunun (PI-RR) gözlemciler arası değişkenliğinin araştırılması: tümör boyutu ve psa önemli mi?," Van Tıp Dergisi. 2023;30:200-8.
  • Annamalai A, Fustok JN, Beltran-Perez J, Rashad AT, Krane LS, Triche BL. Interobserver agreement and accuracy in interpreting mpMRI of the prostate: a systematic review. Curr Urol Rep. 2022;23:1-10.
  • Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 update of Prostate Imaging Reporting and Data System Version 2. Eur Urol. 2019;76:340-51.
  • Costa DN, Lotan Y, Rofsky NM, Roehrborn C, Liu A, Hornberger B et al. Assessment of prospectively assigned Likert scores for target-ed magnetic resonance imaging-transrectal ultra-sound fusion biopsies in patients with suspectedprostate cancer. J Urol. 2016;195:80–7.
  • Tanaka M, Noureldin M, Miah S, Shah T. Likert vs PI-RADS v2: a comparison of two radiological scoring systems for detection of clinically significant prostate cancer. BJU Int. 2020;125:49-55.
  • Dahm P, Neuberger M, Ilic D. Screening for prostate cancer: Shaping the debate on benefits and harms. Cochrane Database Syst Rev. 2013;2013:ED000067.
  • Zawaideh JP, Sala E, Pantelidou M, Shaida N, Koo B, Caglic I et al. Comparison of Likert and PI-RADS version 2 MRI scoring systems for the detection of clinically significant prostate cancer. Br J Radiol. 2020;93:20200298.
  • Khoo CC, Eldred-Evans D, Peters M, Bertoncelli Tanaka M, Noureldin M, Miah S et al. Likert vs PI-RADS v2: a comparison of two radiological scoring systems for detection of clinically significant prostate cancer. BJU Int. 2020;125:49-55.
  • Brizmohun Appayya M, Sidhu HS, Dikaios N, Johnston EW, Simmons LA, Freeman A et al. Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI. Br J Radiol. 2018;91:20170645.
  • F Latifoltojar A, Appayya MB, Barrett T, Punwani S. Similarities and differences between Likert and PIRADS v2.1 scores of prostate multiparametric MRI: a pictorial review of histology-validated cases. Clin Radiol. 2019;74:895.e1-895.e15.
  • Akkaya H, Dilek O, Özdemir S, Taş ZA, Öztürk İS, Gülek B. Can the Gleason score be predicted in patients with prostate cancer? A dynamic contrast-enhanced MRI, (68)Ga-PSMA PET/CT, PSA, and PSA-density comparison study. Diagn Interv Radiol. 2023;29:647-55.
There are 20 citations in total.

Details

Primary Language English
Subjects Radiology and Organ Imaging
Journal Section Research
Authors

Ali Can Topaloğlu 0000-0003-2281-5692

Hüseyin Akkaya 0000-0001-5821-670X

Ömer Kaya 0000-0001-7998-0686

Gökhan İpek 0000-0003-0267-0545

Okan Dılek 0000-0002-2144-2460

Selim Özdemir 0000-0002-0989-9732

Bozkurt Gülek 0000-0003-1510-6257

Gökhan Söker 0000-0002-5369-4769

Publication Date March 31, 2025
Submission Date December 28, 2024
Acceptance Date February 10, 2025
Published in Issue Year 2025 Volume: 50 Issue: 1

Cite

MLA Topaloğlu, Ali Can et al. “Comparison of PI-RADS and LIKERT Scoring Systems in the Diagnosis of Prostate Cancer and the Contribution of Radiologist Experience”. Cukurova Medical Journal, vol. 50, no. 1, 2025, pp. 106-14, doi:10.17826/cumj.1608411.