Comparison on Diagnostic Accuracy of Prostate Cancer Detection Tools: A Systematic Review and Meta-Analysis

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 443

فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_TUMS-1-1_006

تاریخ نمایه سازی: 17 فروردین 1400

چکیده مقاله:

IntroductionSome tests and markers have proved to improve the diagnosis of prostate cancer (PCa). This meta-analysis aimed to review the diagnostic accuracy of three commercial tests, prostate health index (PHI), prostate cancer antigen 3 (PCA3), and prostate imaging reporting & data system V2 (PI-RADS) for detecting of PCa. MethodsWe did a comprehensive literature search of international databases including Scopus, Web of Science, and PubMed from January 2000 to Feb 2018. We included three groups of diagnostic accuracy studies that used PCA3, PHI, and PI-RADS to assess PCa. The l quality of the study was measured by the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria. ResultsTwenty-six studies on PHI, 24 articles on PI-RADS, and 26 papers on PCA3 were included for the meta-analysis. For the diagnosis of PCa, the sensitivity and specificity were 0.76 and 0.84 for PI-RADS, 0.48 and 0.85 for PHI, 0.49 and 0.79 for PCA3. Also, the derived area under curves (AUC) from the hierarchic summary ROCs (HSROCs) were 0.86 (95% CI, 0.83-0.89) for PI-RADS, 0.72 (0.68-0.76) for PCA3, and 0.70 (0.66-0.74) for PHI. Fagan’s nomograms showed that the post-test probability of cancer subjects with a positive test was 53%, 63%, and 45%, for PHI, PI-RADS, and PCA3 respectively. ConclusionsCurrently, available evidence suggests that the PI-RADS is superior in the diagnosis of PCa with high sensitivity, specificity, and AUC compared to PHI and PCA3.

کلیدواژه ها:

Prostate Cancer ، Prostate Imaging Reporting & Data System ، Prostate Health Index ، Prostate Cancer Antigen 3 ، Diagnosis

نویسندگان

Seyed Mohammad Kazem Aghamir

Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran

Gita Shafiee

Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Mehdi Ebrahimi

Department of Internal Medicine, Faculty of Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran Iran

Hossein Yarmohammadi

Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Rezvan Razmande

Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Hassan Ahmadi

Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Leila Zareian Baghdadabad

Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran

Ramin Heshmat

Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • 1. Teoh JY, Hirai HW, Ho JM, Chan FC, Tsoi ...
  • 2. Fowler JE, Jr., Bigler SA, Lynch C, Wilson SS, ...
  • 3. Gittelman MC, Hertzman B, Bailen J, Williams T, Koziol ...
  • 4. Loeb S, Catalona WJ. The Prostate Health Index: a ...
  • 5. Porpiglia F, Russo F, Manfredi M, Mele F, Fiori ...
  • 6. Haese A, de la Taille A, van Poppel H, ...
  • 7. Catalona WJ, Partin AW, Sanda MG, Wei JT, Klee ...
  • 8. de la Calle C, Patil D, Wei JT, Scherr ...
  • 9. Zhang L, Tang M, Chen S, Lei X, Zhang ...
  • 10. Salagierski M, Sosnowski M, Schalken JA. How accurate is ...
  • 11. Bosco C, Cozzi G, Kinsella J, Bianchi R, Acher ...
  • 12. Garcia-Reyes K, Nguyen HG, Zagoria RJ, Shinohara K, Carroll ...
  • 13. Lazzeri M, Lughezzani G, Haese A, McNicholas T, de ...
  • 14. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche ...
  • 15. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks ...
  • 16. Cancer incidence for common cancers / Cancer Research UK. ...
  • 17. Xu N, Wu YP, Chen DN, Ke ZB, Cai ...
  • 18. Borkowetz A, Hadaschik B, Platzek I, Toma M, Torsev ...
  • 19. Rosenkrantz AB, Begovic J, Pires A, Won E, Taneja ...
  • 20. Kuhl CK, Bruhn R, Kramer N, Nebelung S, Heidenreich ...
  • 21. Kim SH, Choi MS, Kim MJ, Kim YH, Cho ...
  • 22. Gao G, Wang CY, Zhang XD, Hu J, Yang ...
  • 23. Nougaret S, Robertson N, Golia Pernicka J, Molinari N, ...
  • 24. Wang R, Wang J, Gao G, Hu J, Jiang ...
  • 25. Furuya K, Kawahara T, Narahara M, Tokita T, Fukui ...
  • 26. Kasel-Seibert M, Lehmann T, Aschenbach R, Guettler FV, Abubrig ...
  • 27. El-Samei H, Amin MF, Hassan EE. Assessment of the ...
  • 28. Feng ZY, Wang L, Min XD, Wang SG, Wang ...
  • 29. Wang X, Wang JY, Li CM, Zhang YQ, Wang ...
  • 30. Polanec S, Helbich TH, Bickel H, Pinker-Domenig K, Georg ...
  • 31. Sahibzada I, Batura D, Hellawell G. Validating multiparametric MRI ...
  • 32. Radtke JP, Kuru TH, Boxler S, Alt CD, Popeneciu ...
  • 33. Rastinehad AR, Waingankar N, Turkbey B, Yaskiv O, Sonstegard ...
  • 34. Wang R, Wang H, Zhao CL, Hu J, Jiang ...
  • 35. Grey ADR, Chana MS, Popert R, Wolfe K, Liyanage ...
  • 36. Baur ADJ, Maxeiner A, Franiel T, Kilic E, Huppertz ...
  • 37. Roethke MC, Kuru TH, Schultze S, Tichy D, Kopp-Schneider ...
  • 38. Junker D, Schäfer G, Edlinger M, Kremser C, Bektic ...
  • 39. Schimmoller L, Quentin M, Arsov C, Lanzman RS, Hiester ...
  • 40. Catalona WJ, Partin AW, Sanda MG, Wei JT, Klee ...
  • 41. Seisen T, Rouprêt M, Brault D, Léon P, Cancel-Tassin ...
  • 42. Filella X, Foj L, Auge JM, Molina R, Alcover ...
  • 43. Stephan C, Jung K, Semjonow A, Schulze-Forster K, Cammann ...
  • 44. Al Saidi SS, Al Riyami NB, Al Marhoon MS, ...
  • 45. Loeb S, Sanda MG, Broyles DL, Shin SS, Bangma ...
  • 46. Ng CF, Chiu PKF, Lam NY, Lam HC, Lee ...
  • 47. Osredkar J, Kumer K, Fabjan T, Hlebic G, Podnar ...
  • 48. Lazzeri M, Haese A, De La Taille A, Palou ...
  • 49. Friedl A, Stangl K, Bauer W, Kivaranovic D, Schneeweiss ...
  • 50. Na R, Ye DW, Qi J, Liu F, Helfand ...
  • 51. Ferro M, Bruzzese D, Perdona S, Marino A, Mazzarella ...
  • 52. Tan LGL, Tan YK, Tai BC, Tan KML, Gauhar ...
  • 53. Vukovic I, Djordjevic D, Bojanic N, Babic U, Soldatovic ...
  • 54. Ferro M, Bruzzese D, Perdona S, Mazzarella C, Marino ...
  • 55. Fuchsova R, Topolcan O, Windrichova J, Hora M, Dolejsova ...
  • 56. Yu GP, Na R, Ye DW, Qi J, Liu ...
  • 57. Lughezzani G, Lazzeri M, Haese A, McNicholas T, de ...
  • 58. Scattoni V, Lazzeri M, Lughezzani G, De Luca S, ...
  • 59. Mearini L, Ferri C, Lazzeri M, Bini V, Nunzi ...
  • 60. Park H, Lee SW, Song G, Kang TW, Jung ...
  • 61. Lazzeri M, Briganti A, Scattoni V, Lughezzani G, Larcher ...
  • 62. Lughezzani G, Lazzeri M, Larcher A, Lista G, Scattoni ...
  • 63. Haese A, de la Taille A, van Poppel H, ...
  • 64. Salami SS, Schmidt F, Laxman B, Regan MM, Rickman ...
  • 65. Marks LS, Fradet Y, Lim Deras I, Blase A, ...
  • 66. Van Gils MPMQ, Hessels D, Van Hooij O, Jannink ...
  • 67. Panebianco V, Sciarra A, De Berardinis E, Busetto GM, ...
  • 68. Salagierski M, Mulders P, Schalken JA. Predicting prostate biopsy ...
  • 69. Adam A, Engelbrecht MJ, Bornman MS, Manda SO, Moshokoa ...
  • 70. Deras IL, Aubin SMJ, Blase A, Day JR, Koo ...
  • 71. Aubin SMJ, Reid J, Sarno MJ, Blase A, Aussie ...
  • 72. Goode RR, Marshall SJ, Duff M, Chevli E, Chevli ...
  • 73. Hessels D, van Gils M, van Hooij O, Jannink ...
  • 74. De Luca S, Passera R, Milillo A, Coda R, ...
  • 75. Nyberg M, Ulmert D, Lindgren A, Lindström U, Abrahamsson ...
  • 76. Ochiai A, Okihara K, Kamoi K, Oikawa T, Shimazui ...
  • 77. Ramos CG, Valdevenito R, Vergara I, Anabalon P, Sanchez ...
  • 78. Pepe P, Fraggetta F, Galia A, Skonieczny G, Aragona ...
  • 79. Wu AK, Reese AC, Cooperberg MR, Sadetsky N, Shinohara ...
  • 80. Wang R, Chinnaiyan AM, Dunn RL, Wojno KJ, Wei ...
  • 81. Busetto GM, De Berardinis E, Sciarra A, Panebianco V, ...
  • 82. de la Taille A, Irani J, Graefen M, Chun ...
  • 83. Greene KL, Albertsen PC, Babaian RJ, Carter HB, Gann ...
  • 84. Moyer VA. Screening for prostate cancer: U.S. Preventive Services ...
  • 85. Loeb S, Vellekoop A, Ahmed HU, Catto J, Emberton ...
  • 86. Wagenlehner FM, van Oostrum E, Tenke P, Tandogdu Z, ...
  • 87. Hoeks CM, Barentsz JO, Hambrock T, Yakar D, Somford ...
  • 88. Barentsz JO, Richenberg J, Clements R, Choyke P, Verma ...
  • 89. Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider ...
  • 90. Cantiello F, Russo GI, Ferro M, Cicione A, Cimino ...
  • 91. Rhodes T, Jacobson DJ, McGree ME, St Sauver JL, ...
  • 92. Lazzeri M, Briganti A, Scattoni V, Lughezzani G, Larcher ...
  • 93. Salagierski M, Verhaegh GW, Jannink SA, Smit FP, Hessels ...
  • 94. Clarke RA, Zhao Z, Guo AY, Roper K, Teng ...
  • 95. Pepe P, Fraggetta F, Galia A, Skonieczny G, Aragona ...
  • 96. Filella X, Gimenez N. Evaluation of [-2] proPSA and ...
  • 97. Xue WJ, Ying XL, Jiang JH, Xu YH. Prostate ...
  • 98. Porpiglia F, Cantiello F, De Luca S, Manfredi M, ...
  • 99. Glas AS, Lijmer JG, Prins MH, Bonsel GJ, Bossuyt ...
  • نمایش کامل مراجع