Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysis

Boesen L, Chabanova E, Løgager V et al (2015) Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology: ADCratio Correlates with Gleason Score. J Magn Reson Imaging 42:446–453. https://doi.org/10.1002/jmri.24801

Article  PubMed  Google Scholar 

Iima M, Le Bihan D (2016) Clinical intravoxel incoherent motion and diffusion MR imaging: past, present, and future. Radiology 278:13–32. https://doi.org/10.1148/radiol.2015150244

Article  PubMed  Google Scholar 

Henderson DR, De Souza NM, Thomas K et al (2016) Nine-year follow-up for a study of diffusion-weighted magnetic resonance imaging in a prospective prostate cancer active surveillance cohort. Eur Urol 69:1028–1033. https://doi.org/10.1016/j.eururo.2015.10.010

Article  PubMed  Google Scholar 

Sasaki M, Yamada K, Watanabe Y et al (2008) Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study. Radiology 249:624–630. https://doi.org/10.1148/radiol.2492071681

Article  PubMed  Google Scholar 

Tamada T, Huang C, Ream JM et al (2018) Apparent diffusion coefficient values of prostate cancer: comparison of 2D and 3D ROIs. AJR Am J Roentgenol 210:113–117. https://doi.org/10.2214/AJR.17.18495

Article  PubMed  Google Scholar 

Bengtsson J, Thimansson E, Baubeta E et al (2023) Correlation between ADC, ADC ratio, and Gleason grade group in prostate cancer patients undergoing radical prostatectomy: Retrospective multicenter study with different MRI scanners. Front Oncol 13:1079040. https://doi.org/10.3389/fonc.2023.1079040

Article  PubMed  PubMed Central  Google Scholar 

Schieda N, Lim CS, Zabihollahy F et al (2021) Quantitative prostate MRI. Magn Reson Imaging 53:1632–1645. https://doi.org/10.1002/jmri.27191

Article  Google Scholar 

Turkbey B, Purysko AS (2023) PI-RADS: Where next? Radiology 307:e223128. https://doi.org/10.1148/radiol.223128

Article  PubMed  Google Scholar 

Bajgiran AM, Mirak SA, Sung K et al (2019) Apparent diffusion coefficient (ADC) ratio versus conventional ADC for detecting clinically significant prostate cancer with 3-T MRI. AJR Am J Roentgenol 213:W134–W142. https://doi.org/10.2214/AJR.19.21365

Article  PubMed  Google Scholar 

Litjens GJS, Hambrock T, Hulsbergen–van De Kaa C et al (2012) Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressiveness. Radiology 265:260–266. https://doi.org/10.1148/radiol.12112374

Article  PubMed  Google Scholar 

Itatani R, Namimoto T, Yoshimura A et al (2014) Clinical utility of the normalized apparent diffusion coefficient for preoperative evaluation of the aggressiveness of prostate cancer. Jpn J Radiol 32:685–691. https://doi.org/10.1007/s11604-014-0367-0

Article  CAS  PubMed  Google Scholar 

Lebovici A, Sfrangeu SA, Feier D et al (2014) Evaluation of the normal-to-diseased apparent diffusion coefficient ratio as an indicator of prostate cancer aggressiveness. BMC Med Imaging 14:15. https://doi.org/10.1186/1471-2342-14-15

Article  PubMed  PubMed Central  Google Scholar 

Wu X, Reinikainen P, Vanhanen A et al (2017) Correlation between apparent diffusion coefficient value on diffusion-weighted MR imaging and Gleason score in prostate cancer. Diagn Interven Imaging 98:63–71. https://doi.org/10.1016/j.diii.2016.08.009

Article  CAS  Google Scholar 

Jyoti R, Jain TP, Haxhimolla H et al (2018) Correlation of apparent diffusion coefficient ratio on 3.0-T MRI with prostate cancer Gleason score. Eur J Radiol Open 5:58–63. https://doi.org/10.1016/j.ejro.2018.03.002

Article  PubMed  PubMed Central  Google Scholar 

Giganti F, Pecoraro M, Fierro D et al (2020) DWI and PRECISE criteria in men on active surveillance for prostate cancer: a multicentre preliminary experience of different ADC calculations. Magn Reson Imaging 67:50–58. https://doi.org/10.1016/j.mri.2019.12.007

Article  PubMed  Google Scholar 

Karaarslan E, Kus AA, Alis D et al (2022) Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings. Diagn Inter Radiol 28:12–20. https://doi.org/10.5152/dir.2022.20732

Article  Google Scholar 

Rosenkrantz AB, Khalef V, Xu W et al (2015) Does normalisation improve the diagnostic performance of apparent diffusion coefficient values for prostate cancer assessment? A blinded independent-observer evaluation. Clin Radiol 70:1032–1037. https://doi.org/10.1016/j.crad.2015.05.011

Article  CAS  PubMed  Google Scholar 

De Cobelli F, Ravelli S, Esposito A et al (2015) Apparent diffusion coefficient value and ratio as noninvasive potential biomarkers to predict prostate cancer grading: comparison with prostate biopsy and radical prostatectomy specimen. AJR Am J Roentgenol 204:550–557. https://doi.org/10.2214/AJR.14.13146

Article  PubMed  Google Scholar 

Hassanzadeh E, Alessandrino F, Olubiyi OI et al (2018) Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer. Abdom Radiol (NY) 43:1237–1244. https://doi.org/10.1007/s00261-017-1297-y

Article  PubMed  Google Scholar 

Altan Kus A (2021) The utility of ADC parameters in the diagnosis of clinically significant prostate cancer by 3.0-Tesla diffusion-weighted magnetic resonance imaging. Pol J Radiol 86:262–268. https://doi.org/10.5114/pjr.2021.106071

Article  Google Scholar 

Salameh J-P, Bossuyt PM, McGrath TA et al (2020) Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist. BMJ. https://doi.org/10.1136/bmj.m2632

Whiting PF (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529. https://doi.org/10.7326/0003-4819-155-8-201110180-00009

Article  PubMed  Google Scholar 

Deeks JJ, Bossuyt PM, Leeflang MM, Takwoingi Y (eds) (2023) Cochrane handbook for systematic reviews of diagnostic test accuracy. Wiley, New York

Van Enst WA, Ochodo E, Scholten RJ et al (2014) Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study. BMC Med Res Methodol 14:70. https://doi.org/10.1186/1471-2288-14-70

Article  PubMed  PubMed Central  Google Scholar 

Woo S, Kim SY, Cho JY, Kim SH (2016) Preoperative evaluation of prostate cancer aggressiveness: using ADC and ADC ratio in determining gleason score. AJR Am J Roentgenol 207:114–120. https://doi.org/10.2214/AJR.15.15894

Article  PubMed  Google Scholar 

Pierre T, Cornud F, Colléter L et al (2018) Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone? Eur Radiol 28:2236–2245. https://doi.org/10.1007/s00330-017-5107-2

Article  PubMed  Google Scholar 

Taha Ali TF, ElHariri MA, Riad MM (2018) Diffusion-weighted MRI in prostatic lesions: diagnostic performance of normalized ADC using normal peripheral prostatic zone as a reference. Egypt J Radiol Nucl Med 49:239–244. https://doi.org/10.1016/j.ejrnm.2017.09.007

Article  Google Scholar 

Cindil E, Oner Y, Sendur HN et al (2019) The utility of diffusion-weighted imaging and perfusion magnetic resonance imaging parameters for detecting clinically significant prostate cancer. Can Assoc Radiol J 70:441–451. https://doi.org/10.1016/j.carj.2019.07.005

Article  PubMed  Google Scholar 

Moraes MO, Roman DHH, Copetti J et al (2020) Effects of the addition of quantitative apparent diffusion coefficient data on the diagnostic performance of the PI-RADS v2 scoring system to detect clinically significant prostate cancer. World J Urol 38:981–991. https://doi.org/10.1007/s00345-019-02827-2

Article  PubMed  Google Scholar 

Ragheb SR, Bassiouny RH (2020) Can mean ADC value and ADC ratio of benign prostate tissue to prostate cancer assist in the prediction of clinically significant prostate cancer within the PI-RADSv2 scoring system? Egypt J Radiol Nucl Med 51:242. https://doi.org/10.1186/s43055-020-00347-3

Article  Google Scholar 

Wang X, Hielscher T, Radtke JP et al (2021) Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer. Eur J Radiol 136:109538. https://doi.org/10.1016/j.ejrad.2021.109538

Article  PubMed  Google Scholar 

Shaish H, Kang SK, Rosenkrantz AB (2017) The utility of quantitative ADC values for differentiating high-risk from low-risk prostate cancer: a systematic review and meta-analysis. Abdom Radiol (NY) 42:260–270. https://doi.org/10.1007/s00261-016-0848-y

Article  PubMed  Google Scholar 

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