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Volumn 63, Issue 6, 2016, Pages 1145-1156

MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection

Author keywords

Computer aided detection; featuremodels; multiparametric MRI (mpMRI); prostate cancer detection; prostate MRI; radiomics

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DISEASES; OPTICAL PROJECTORS; UROLOGY;

EID: 84971595369     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2485779     Document Type: Article
Times cited : (162)

References (38)
  • 1
    • 84968927376 scopus 로고    scopus 로고
    • Toronto, ON, Canada
    • Canadian Cancer Society's Advisory Committee on Cancer Statistics, Canadian Cancer Statistics 2014, Toronto, ON, Canada, 2014.
    • (2014) Canadian Cancer Statistics 2014
  • 2
    • 70450190156 scopus 로고    scopus 로고
    • Toronto, ON, Canada
    • Canadian Cancer Society's Steering Committee on Cancer Statistics, Canadian Cancer Statistics 2012, Toronto, ON, Canada, 2012.
    • (2012) Canadian Cancer Statistics 2012
  • 3
    • 63249118690 scopus 로고    scopus 로고
    • ERSPC investigators. Screening and prostate-cancer mortality in a randomized European study
    • F. H. Schrder et al., "ERSPC investigators. Screening and prostate-cancer mortality in a randomized European study," New Engl. J. Med., vol. 360, pp. 1320-1328, 2009.
    • (2009) New Engl. J. Med. , vol.360 , pp. 1320-1328
    • Schrder, F.H.1
  • 4
    • 63249122661 scopus 로고    scopus 로고
    • PLCO project team. Mortality results from a randomized prostate-cancer screening trial
    • G. L. Andriole et al., "PLCO project team. Mortality results from a randomized prostate-cancer screening trial," New Engl. J. Med., vol. 360, pp. 1310-1319, 2009.
    • (2009) New Engl. J. Med. , vol.360 , pp. 1310-1319
    • Andriole, G.L.1
  • 5
    • 84887406042 scopus 로고    scopus 로고
    • Systematic review of complications of prostate biopsy
    • H. U. Ahmed et al., "Systematic review of complications of prostate biopsy," Eur. Urol., vol. 64, no. 6, pp. 876-892, 2013.
    • (2013) Eur. Urol. , vol.64 , Issue.6 , pp. 876-892
    • Ahmed, H.U.1
  • 6
    • 84883184816 scopus 로고    scopus 로고
    • Multiparametric MR imaging for detection of clinically significant prostate cancer: A validation cohort study with transperineal template prostate mapping as the reference standard
    • Arumainayagam et al., "Multiparametric MR imaging for detection of clinically significant prostate cancer: A validation cohort study with transperineal template prostate mapping as the reference standard," Radiology, vol. 268, no. 3, pp. 761-769, 2013.
    • (2013) Radiology , vol.268 , Issue.3 , pp. 761-769
    • Arumainayagam1
  • 7
    • 84857037061 scopus 로고    scopus 로고
    • Radiomics: Extractingmore information frommedical images using advanced feature analysis
    • R. Leijenaar et al., "Radiomics: Extractingmore information frommedical images using advanced feature analysis," Eur. J. Cancer, vol. 48, no. 4, pp. 441-446, 2015.
    • (2015) Eur. J. Cancer , vol.48 , Issue.4 , pp. 441-446
    • Leijenaar, R.1
  • 8
    • 84893262947 scopus 로고    scopus 로고
    • Early detection of prostate cancer
    • P. R. Carroll, "Early detection of prostate cancer," Commun. Oncol, vol. 7, pp. 25-27, 2010.
    • (2010) Commun. Oncol , vol.7 , pp. 25-27
    • Carroll, P.R.1
  • 9
    • 2442715038 scopus 로고    scopus 로고
    • Prevalence of prostate cancer among men with a prostate-specific antigen level ≤ 4.0 ng per mililiter
    • I. M. Thompson et al., "Prevalence of prostate cancer among men with a prostate-specific antigen level ≤ 4.0 ng per mililiter," New Engl. J. Med., vol. 350, pp. 2239-2246, 2004.
    • (2004) New Engl. J. Med. , vol.350 , pp. 2239-2246
    • Thompson, I.M.1
  • 10
    • 84861455749 scopus 로고    scopus 로고
    • ESUR prostate MR guidelines 2012
    • Apr.
    • J. O. Barentsz et al., "ESUR prostate MR guidelines 2012," Eur. Radiol., vol. 22, no. 4, pp. 746-757, Apr. 2012.
    • (2012) Eur. Radiol. , vol.22 , Issue.4 , pp. 746-757
    • Barentsz, J.O.1
  • 11
    • 70449396571 scopus 로고    scopus 로고
    • Prostate cancer localization with multispectral MRI based on relevance vector machines
    • S. Ozer et al., "Prostate cancer localization with multispectral MRI based on relevance vector machines," in Proc. IEEE Int. Symp. Biomed. Imag., From Nano to Macro, 2009, pp. 73-76.
    • (2009) Proc. IEEE Int. Symp. Biomed. Imag., from Nano to Macro , pp. 73-76
    • Ozer, S.1
  • 12
    • 80054790768 scopus 로고    scopus 로고
    • Computed diffusion-weighted MR imaging may improve tumor detection
    • M. D. Blackledge et al., "Computed diffusion-weighted MR imaging may improve tumor detection," Radiology, vol. 261, no. 2, pp. 573-581, 2011.
    • (2011) Radiology , vol.261 , Issue.2 , pp. 573-581
    • Blackledge, M.D.1
  • 13
    • 84881149506 scopus 로고    scopus 로고
    • Correlated diffusion imaging
    • Jan.
    • A. Wong et al., "Correlated diffusion imaging," BMCMed. Imag., vol. 13, p. 26, Jan. 2013.
    • (2013) BMCMed. Imag. , vol.13 , pp. 26
    • Wong, A.1
  • 14
    • 84939432058 scopus 로고    scopus 로고
    • Dual-stage correlated diffusion imaging
    • A. Wong et al., "Dual-stage correlated diffusion imaging," in Proc. IEEE Int. Symp. Biomed. Imag., 2015, pp. 75-78.
    • (2015) Proc. IEEE Int. Symp. Biomed. Imag. , pp. 75-78
    • Wong, A.1
  • 16
    • 84939428004 scopus 로고    scopus 로고
    • Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
    • F. Khalvati et al., "Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models," Biomed. Central Med. Imag., vol. 15, pp. 15-27, 2015.
    • (2015) Biomed. Central Med. Imag. , vol.15 , pp. 15-27
    • Khalvati, F.1
  • 17
    • 4744353815 scopus 로고    scopus 로고
    • Endorectal diffusion-weighted imaging in prostate cancer to differentiate malignant and benign peripheral zone tissue
    • Oct.
    • K. Hosseinzadeh and S. D. Schwarz, "Endorectal diffusion-weighted imaging in prostate cancer to differentiate malignant and benign peripheral zone tissue," J. Magn. Reson. Imag., vol. 20, no. 4, pp. 654-461, Oct. 2004.
    • (2004) J. Magn. Reson. Imag. , vol.20 , Issue.4 , pp. 461-654
    • Hosseinzadeh, K.1    Schwarz, S.D.2
  • 18
    • 66249118025 scopus 로고    scopus 로고
    • Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and class
    • X. Liu et al., "Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and class," Med. Imag., vol. 28, no. 6, pp. 906-915, 2009
    • (2009) Med. Imag. , vol.28 , Issue.6 , pp. 906-915
    • Liu, X.1
  • 19
    • 68049133366 scopus 로고    scopus 로고
    • Prostate cancer detection with multi-parametric MRI: Logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI
    • Aug.
    • D. L. Langer et al., "Prostate cancer detection with multi-parametric MRI: Logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI," J. Magn. Reson. Imag., vol. 30, no. 2, pp. 327-334, Aug. 2009.
    • (2009) J. Magn. Reson. Imag. , vol.30 , Issue.2 , pp. 327-334
    • Langer, D.L.1
  • 20
    • 33745714414 scopus 로고    scopus 로고
    • Combined diffusion-weighted and dynamic contrastenhanced MRI for prostate cancer diagnosis-correlation with biopsy and histopathology
    • Jul.
    • P. Kozlowski et al., "Combined diffusion-weighted and dynamic contrastenhanced MRI for prostate cancer diagnosis-correlation with biopsy and histopathology," J. Magn. Reson. Imag., vol. 24, no. 1, pp. 108-113, Jul. 2006.
    • (2006) J. Magn. Reson. Imag. , vol.24 , Issue.1 , pp. 108-113
    • Kozlowski, P.1
  • 21
    • 74749100179 scopus 로고    scopus 로고
    • High-b-value diffusion-weighted imaging at 3 T to detect prostate cancer: Comparisons between b values of 1,000 and 2,000 s/mm2
    • Jan.
    • C. K. Kim et al., "High-b-value diffusion-weighted imaging at 3 T to detect prostate cancer: Comparisons between b values of 1,000 and 2,000 s/mm2," Am. J. Roentgenol., vol. 194, no. 1, pp. W33-W37, Jan. 2010.
    • (2010) Am. J. Roentgenol. , vol.194 , Issue.1 , pp. W33-W37
    • Kim, C.K.1
  • 22
    • 78650532563 scopus 로고    scopus 로고
    • Ultra-high-b-value diffusion-weighted MR imaging for the detection of prostate cancer: Evaluation in 201 cases with histopathological correlation
    • Jan.
    • K. Katahira et al., "Ultra-high-b-value diffusion-weighted MR imaging for the detection of prostate cancer: Evaluation in 201 cases with histopathological correlation," Eur. Radiol., vol. 21, no. 1, pp. 188-196, Jan. 2011.
    • (2011) Eur. Radiol. , vol.21 , Issue.1 , pp. 188-196
    • Katahira, K.1
  • 23
    • 34547610733 scopus 로고    scopus 로고
    • Combined T2-weighted and diffusion-weighted MRI for localization of prostate cancer
    • Aug.
    • M. A. Haider et al., "Combined T2-weighted and diffusion-weighted MRI for localization of prostate cancer," Am. J. Roentgenol., vol. 189, no. 2, pp. 323-328, Aug. 2007
    • (2007) Am. J. Roentgenol. , vol.189 , Issue.2 , pp. 323-328
    • Haider, M.A.1
  • 24
    • 71749111270 scopus 로고    scopus 로고
    • A boosting cascade for automated detection of prostate cancer from digitized histology
    • Jan.
    • S. Doyle et al., "A boosting cascade for automated detection of prostate cancer from digitized histology," in Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention, vol. 9, no. Pt 2, pp. 504-511, Jan. 2006.
    • (2006) Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention , vol.9 , pp. 504-511
    • Doyle, S.1
  • 25
    • 0141631865 scopus 로고    scopus 로고
    • Detection of prostate cancer by integration of linescan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; A multichannel statistical classifier
    • I. Chan et al., "Detection of prostate cancer by integration of linescan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier," Med. Phys., vol. 30, no. 9, pp. 2390-2398, 2003.
    • (2003) Med. Phys. , vol.30 , Issue.9 , pp. 2390-2398
    • Chan, I.1
  • 26
    • 84929493213 scopus 로고    scopus 로고
    • Apparent ultra-high b-value diffusion-weighted image reconstruction via hidden conditional random fields
    • May
    • Shafiee et al., "Apparent ultra-high b-value diffusion-weighted image reconstruction via hidden conditional random fields," IEEE Trans. Med. Imag., vol. 34, no. 5, pp. 1111-1124, May 2015.
    • (2015) IEEE Trans. Med. Imag. , vol.34 , Issue.5 , pp. 1111-1124
    • Shafiee1
  • 27
    • 84896258183 scopus 로고    scopus 로고
    • Gland segmentation and computerized Gleason grading of prostate histology by integrating low-, high-level and domain specific information
    • S. Naik et al., "Gland segmentation and computerized Gleason grading of prostate histology by integrating low-, high-level and domain specific information," Proc. Microsc. Image Anal. With Appl. Biol. Workshop, 2007, pp. 1-8.
    • (2007) Proc. Microsc. Image Anal. with Appl. Biol. Workshop , pp. 1-8
    • Naik, S.1
  • 28
    • 51049110072 scopus 로고    scopus 로고
    • Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
    • May
    • S. Naik et al., "Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology," in Proc. IEEE Int. Symp. Biomed. Imag., From Nano to Macro, May 2008, pp. 284-287.
    • (2008) Proc. IEEE Int. Symp. Biomed. Imag., from Nano to Macro , pp. 284-287
    • Naik, S.1
  • 29
    • 77950584818 scopus 로고    scopus 로고
    • Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI
    • S. Ozer et al., "Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI," Med. Phys., vol. 37, no. 4, pp. 1873-1883, 2010.
    • (2010) Med. Phys. , vol.37 , Issue.4 , pp. 1873-1883
    • Ozer, S.1
  • 30
    • 29144516340 scopus 로고    scopus 로고
    • Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI
    • Dec.
    • A. Madabhushi et al., "Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI," IEEE Trans. Med. Imag., vol. 24, no. 12, pp. 1611-1625, Dec. 2005.
    • (2005) IEEE Trans. Med. Imag. , vol.24 , Issue.12 , pp. 1611-1625
    • Madabhushi, A.1
  • 31
    • 84929484060 scopus 로고    scopus 로고
    • Multi-parametric MRI prostate cancer analysis via a hybrid morphological-textural model
    • A. Cameron et al., "Multi-parametric MRI prostate cancer analysis via a hybrid morphological-textural model," in Proc. IEEE Annu. Conf. Eng. Med. Biol. Soc., 2014, pp. 3357-3360.
    • (2014) Proc. IEEE Annu. Conf. Eng. Med. Biol. Soc. , pp. 3357-3360
    • Cameron, A.1
  • 32
    • 84901946941 scopus 로고    scopus 로고
    • Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    • H. J. W. L. Aerts et al., "Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach," Nature Commun., vol. 5, 2014.
    • (2014) Nature Commun. , vol.5
    • Aerts, H.J.W.L.1
  • 33
    • 84864349266 scopus 로고    scopus 로고
    • Non-small cell lung cancer: Identifying prognostic imaging biomarkers by leveraging public gene expression microarray data-Methods and preliminary results
    • O. Gevaert et al., "Non-small cell lung cancer: Identifying prognostic imaging biomarkers by leveraging public gene expression microarray data-Methods and preliminary results," Radiology, vol. 264, pp. 387-396, 2012.
    • (2012) Radiology , vol.264 , pp. 387-396
    • Gevaert, O.1
  • 34
    • 36348993027 scopus 로고    scopus 로고
    • Tumor segmentation from a multispectral MRI images by using support vector machine classification
    • S. Ruan et al., "Tumor segmentation from a multispectral MRI images by using support vector machine classification," Imaging, From Nano, vol. 2, no. 1, pp. 1236-1239, 2007.
    • (2007) Imaging, from Nano , vol.2 , Issue.1 , pp. 1236-1239
    • Ruan, S.1
  • 35
    • 36348964155 scopus 로고    scopus 로고
    • Automated grading of prostate cancer using architectural and textural image features
    • S. Doyle et al., "Automated grading of prostate cancer using architectural and textural image features," in Proc. IEEE 4th Int. Symp. Biomed. Imag., From Nano to Macro, 2007, pp. 1284-1287.
    • (2007) Proc. IEEE 4th Int. Symp. Biomed. Imag., from Nano to Macro , pp. 1284-1287
    • Doyle, S.1
  • 36
    • 33744803217 scopus 로고    scopus 로고
    • Graph embedding to improve supervised classification and novel class detection: Application to prostate cancer
    • A. Madabhushi et al., "Graph embedding to improve supervised classification and novel class detection: Application to prostate cancer," in Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention, 2005, pp. 729-737.
    • (2005) Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention , pp. 729-737
    • Madabhushi, A.1
  • 37
    • 84870777062 scopus 로고    scopus 로고
    • Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification
    • San Diego, CA, USA
    • R. Amelard et al., "Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification," in Proc. IEEE 34th Annu. Int. Conf. Eng. Med. Biol. Soc., San Diego, CA, USA, 2012, pp. 4458-4461.
    • (2012) Proc. IEEE 34th Annu. Int. Conf. Eng. Med. Biol. Soc. , pp. 4458-4461
    • Amelard, R.1
  • 38
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of maxdependency, max-relevance, and min-redundancy
    • Aug.
    • C. Ding et al., "Feature selection based on mutual information criteria of maxdependency, max-relevance, and min-redundancy," IEEE Trans Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226-1238, Aug. 2005.
    • (2005) IEEE Trans Pattern Anal. Mach. Intell. , vol.27 , Issue.8 , pp. 1226-1238
    • Ding, C.1


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