Skip to main content
Erschienen in:

10.06.2024 | Review

MRI-based virtual pathology of the prostate

verfasst von: Aritrick Chatterjee, Durgesh Kumar Dwivedi

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 4/2024

Einloggen, um Zugang zu erhalten

Abstract

Prostate cancer poses significant diagnostic challenges, with conventional methods like prostate-specific antigen (PSA) screening and transrectal ultrasound (TRUS)-guided biopsies often leading to overdiagnosis or miss clinically significant cancers. Multiparametric MRI (mpMRI) has emerged as a more reliable tool. However, it is limited by high inter-observer variability and radiologists missing up to 30% of clinically significant cancers. This article summarizes a few of these recent advancements in quantitative MRI techniques that look at the “Virtual Pathology” of the prostate with an aim to enhance prostate cancer detection and characterization. These techniques include T2 relaxation-based techniques such as luminal water imaging, diffusion based such as vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT) and restriction spectrum imaging or combined relaxation-diffusion techniques such as hybrid multi-dimensional MRI (HM-MRI), time-dependent diffusion imaging, and diffusion-relaxation correlation spectrum imaging. These methods provide detailed insights into underlying prostate microstructure and tissue composition and have shown improved diagnostic accuracy over conventional MRI. These innovative MRI methods hold potential for augmenting mpMRI, reducing variability in diagnosis, and paving the way for MRI as a 'virtual histology' tool in prostate cancer diagnosis. However, they require further validation in larger multi-center clinical settings and rigorous in-depth radiological-pathology correlation are needed for broader implementation.
Literatur
1.
Zurück zum Zitat Siegel RL, Miller KD, Wagle NS, Jemal A (2023) Cancer statistics. CA Cancer J Clin 73(1):17–48PubMedCrossRef Siegel RL, Miller KD, Wagle NS, Jemal A (2023) Cancer statistics. CA Cancer J Clin 73(1):17–48PubMedCrossRef
2.
Zurück zum Zitat Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249PubMedCrossRef Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249PubMedCrossRef
3.
Zurück zum Zitat Schouten MG, van der Leest M, Pokorny M, Hoogenboom M, Barentsz JO, Thompson LC, Futterer JJ (2017) Why and where do we miss significant prostate cancer with multi-parametric magnetic resonance imaging followed by magnetic resonance-guided and transrectal ultrasound-guided biopsy in biopsy-naive men? Eur Urol 71(6):896–903PubMedCrossRef Schouten MG, van der Leest M, Pokorny M, Hoogenboom M, Barentsz JO, Thompson LC, Futterer JJ (2017) Why and where do we miss significant prostate cancer with multi-parametric magnetic resonance imaging followed by magnetic resonance-guided and transrectal ultrasound-guided biopsy in biopsy-naive men? Eur Urol 71(6):896–903PubMedCrossRef
4.
Zurück zum Zitat Force UPST (2018) Screening for prostate cancer: US Preventive Services Task Force recommendation statement. JAMA 319(18):1901–1913CrossRef Force UPST (2018) Screening for prostate cancer: US Preventive Services Task Force recommendation statement. JAMA 319(18):1901–1913CrossRef
5.
Zurück zum Zitat Kasivisvanathan V, Stabile A, Neves JB, Giganti F, Valerio M, Shanmugabavan Y, Clement KD, Sarkar D, Philippou Y, Thurtle D, Deeks J, Emberton M, Takwoingi Y, Moore CM (2019) Magnetic resonance imaging-targeted biopsy versus systematic biopsy in the detection of prostate cancer: a systematic review and meta-analysis. Eur Urol 76(3):284–303PubMedCrossRef Kasivisvanathan V, Stabile A, Neves JB, Giganti F, Valerio M, Shanmugabavan Y, Clement KD, Sarkar D, Philippou Y, Thurtle D, Deeks J, Emberton M, Takwoingi Y, Moore CM (2019) Magnetic resonance imaging-targeted biopsy versus systematic biopsy in the detection of prostate cancer: a systematic review and meta-analysis. Eur Urol 76(3):284–303PubMedCrossRef
6.
Zurück zum Zitat Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, Briganti A, Budäus L, Hellawell G, Hindley RG, Roobol MJ, Eggener S, Ghei M, Villers A, Bladou F, Villeirs GM, Virdi J, Boxler S, Robert G, Singh PB, Venderink W, Hadaschik BA, Ruffion A, Hu JC, Margolis D, Crouzet S, Klotz L, Taneja SS, Pinto P, Gill I, Allen C, Giganti F, Freeman A, Morris S, Punwani S, Williams NR, Brew-Graves C, Deeks J, Takwoingi Y, Emberton M, Moore CM (2018) MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med 378(19):1767–1777PubMedPubMedCentralCrossRef Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, Briganti A, Budäus L, Hellawell G, Hindley RG, Roobol MJ, Eggener S, Ghei M, Villers A, Bladou F, Villeirs GM, Virdi J, Boxler S, Robert G, Singh PB, Venderink W, Hadaschik BA, Ruffion A, Hu JC, Margolis D, Crouzet S, Klotz L, Taneja SS, Pinto P, Gill I, Allen C, Giganti F, Freeman A, Morris S, Punwani S, Williams NR, Brew-Graves C, Deeks J, Takwoingi Y, Emberton M, Moore CM (2018) MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med 378(19):1767–1777PubMedPubMedCentralCrossRef
7.
Zurück zum Zitat Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, Tempany CM, Choyke PL, Cornud F, Margolis DJ, Thoeny HC, Verma S, Barentsz J, Weinreb JC (2019) Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol 76(3):340–351PubMedCrossRef Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, Tempany CM, Choyke PL, Cornud F, Margolis DJ, Thoeny HC, Verma S, Barentsz J, Weinreb JC (2019) Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol 76(3):340–351PubMedCrossRef
8.
Zurück zum Zitat Mohammadian Bajgiran A, Afshari Mirak S, Shakeri S, Felker ER, Ponzini D, Ahuja P, Sisk AE, Lu DS, Raman SS (2019) Characteristics of missed prostate cancer lesions on 3T multiparametric-MRI in 518 patients: based on PI-RADSv2 and using whole-mount histopathology reference. Abdom Radiol 44(3):1052–1061CrossRef Mohammadian Bajgiran A, Afshari Mirak S, Shakeri S, Felker ER, Ponzini D, Ahuja P, Sisk AE, Lu DS, Raman SS (2019) Characteristics of missed prostate cancer lesions on 3T multiparametric-MRI in 518 patients: based on PI-RADSv2 and using whole-mount histopathology reference. Abdom Radiol 44(3):1052–1061CrossRef
9.
Zurück zum Zitat Wibmer AG, Lefkowitz RA, Lakhman Y, Chaim J, Nikolovski I, Sala E, Fine SW, Donahue TF, Kattan MW, Hricak H, Vargas HA (2022) MRI-detectability of clinically significant prostate cancer relates to oncologic outcomes after prostatectomy. Clin Genitourin Cancer 20(4):319–325PubMedPubMedCentralCrossRef Wibmer AG, Lefkowitz RA, Lakhman Y, Chaim J, Nikolovski I, Sala E, Fine SW, Donahue TF, Kattan MW, Hricak H, Vargas HA (2022) MRI-detectability of clinically significant prostate cancer relates to oncologic outcomes after prostatectomy. Clin Genitourin Cancer 20(4):319–325PubMedPubMedCentralCrossRef
10.
Zurück zum Zitat van Houdt PJ, Ghobadi G, Schoots IG, Heijmink SWTPJ, de Jong J, van der Poel HG, Pos FJ, Rylander S, Bentzen L, Haustermans K, van der Heide UA (2020) Histopathological features of MRI-invisible regions of prostate cancer lesions. J Magn Reson Imaging 51(4):1235–1246PubMedCrossRef van Houdt PJ, Ghobadi G, Schoots IG, Heijmink SWTPJ, de Jong J, van der Poel HG, Pos FJ, Rylander S, Bentzen L, Haustermans K, van der Heide UA (2020) Histopathological features of MRI-invisible regions of prostate cancer lesions. J Magn Reson Imaging 51(4):1235–1246PubMedCrossRef
11.
Zurück zum Zitat Chatterjee A, Gallan A, Fan X, Medved M, Akurati P, Bourne RM, Antic T, Karczmar GS, Oto A (2023) Prostate cancers invisible on multiparametric MRI: pathologic features in correlation with whole-mount prostatectomy. Cancers 15(24):5825PubMedPubMedCentralCrossRef Chatterjee A, Gallan A, Fan X, Medved M, Akurati P, Bourne RM, Antic T, Karczmar GS, Oto A (2023) Prostate cancers invisible on multiparametric MRI: pathologic features in correlation with whole-mount prostatectomy. Cancers 15(24):5825PubMedPubMedCentralCrossRef
12.
Zurück zum Zitat Westphalen AC, McCulloch CE, Anaokar JM, Arora S, Barashi NS, Barentsz JO, Bathala TK, Bittencourt LK, Booker MT, Braxton VG, Carroll PR, Casalino DD, Chang SD, Coakley FV, Dhatt R, Eberhardt SC, Foster BR, Froemming AT, Fütterer JJ, Ganeshan DM, Gertner MR, Gettle LM, Ghai S, Gupta RT, Hahn ME, Houshyar R, Kim C, Kim CK, Lall C, Margolis DJA, McRae SE, Oto A, Parsons RB, Patel NU, Pinto PA, Polascik TJ, Spilseth B, Starcevich JB, Tammisetti VS, Taneja SS, Turkbey B, Verma S, Ward JF, Warlick CA, Weinberger AR, Yu J, Zagoria RJ, Rosenkrantz AB (2020) Variability of the positive predictive value of PI-RADS for prostate MRI across 26 centers: experience of the society of abdominal radiology prostate cancer disease-focused panel. Radiology 296(1):76–84PubMedCrossRef Westphalen AC, McCulloch CE, Anaokar JM, Arora S, Barashi NS, Barentsz JO, Bathala TK, Bittencourt LK, Booker MT, Braxton VG, Carroll PR, Casalino DD, Chang SD, Coakley FV, Dhatt R, Eberhardt SC, Foster BR, Froemming AT, Fütterer JJ, Ganeshan DM, Gertner MR, Gettle LM, Ghai S, Gupta RT, Hahn ME, Houshyar R, Kim C, Kim CK, Lall C, Margolis DJA, McRae SE, Oto A, Parsons RB, Patel NU, Pinto PA, Polascik TJ, Spilseth B, Starcevich JB, Tammisetti VS, Taneja SS, Turkbey B, Verma S, Ward JF, Warlick CA, Weinberger AR, Yu J, Zagoria RJ, Rosenkrantz AB (2020) Variability of the positive predictive value of PI-RADS for prostate MRI across 26 centers: experience of the society of abdominal radiology prostate cancer disease-focused panel. Radiology 296(1):76–84PubMedCrossRef
13.
14.
Zurück zum Zitat Bourne R, Kurniawan N, Cowin G, Sved P, Watson G (2011) 16 T diffusion microimaging of fixed prostate tissue: preliminary findings. Magn Reson Med 66(1):244–247PubMedCrossRef Bourne R, Kurniawan N, Cowin G, Sved P, Watson G (2011) 16 T diffusion microimaging of fixed prostate tissue: preliminary findings. Magn Reson Med 66(1):244–247PubMedCrossRef
15.
Zurück zum Zitat Bourne RM, Kurniawan N, Cowin G, Stait-Gardner T, Sved P, Watson G, Price WS (2012) Microscopic diffusivity compartmentation in formalin-fixed prostate tissue. Magn Reson Med 68(2):614–620PubMedCrossRef Bourne RM, Kurniawan N, Cowin G, Stait-Gardner T, Sved P, Watson G, Price WS (2012) Microscopic diffusivity compartmentation in formalin-fixed prostate tissue. Magn Reson Med 68(2):614–620PubMedCrossRef
16.
Zurück zum Zitat Langer DL, van der Kwast TH, Evans AJ, Plotkin A, Trachtenberg J, Wilson BC, Haider MA (2010) Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K(trans), v(e), and corresponding histologic features. Radiology 255(2):485–494PubMedCrossRef Langer DL, van der Kwast TH, Evans AJ, Plotkin A, Trachtenberg J, Wilson BC, Haider MA (2010) Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K(trans), v(e), and corresponding histologic features. Radiology 255(2):485–494PubMedCrossRef
17.
Zurück zum Zitat Chatterjee A, Watson G, Myint E, Sved P, McEntee M, Bourne R (2015) Changes in Epithelium, stroma, and lumen space correlate more strongly with gleason pattern and are stronger predictors of prostate ADC changes than cellularity metrics. Radiology 277(3):751–762PubMedCrossRef Chatterjee A, Watson G, Myint E, Sved P, McEntee M, Bourne R (2015) Changes in Epithelium, stroma, and lumen space correlate more strongly with gleason pattern and are stronger predictors of prostate ADC changes than cellularity metrics. Radiology 277(3):751–762PubMedCrossRef
18.
Zurück zum Zitat Gilani N Editorial for “Utility of prostate health index density for biopsy strategy in biopsy-naïve patients with PI-RADS v2.1 category 3 lesions”. J Magn Reson Imaging n/a (n/a) Gilani N Editorial for “Utility of prostate health index density for biopsy strategy in biopsy-naïve patients with PI-RADS v2.1 category 3 lesions”. J Magn Reson Imaging n/a (n/a)
19.
Zurück zum Zitat Chatterjee A, Harmath C, Oto A (2020) New prostate MRI techniques and sequences. Abdom Radiol 45(12):4052–4062CrossRef Chatterjee A, Harmath C, Oto A (2020) New prostate MRI techniques and sequences. Abdom Radiol 45(12):4052–4062CrossRef
20.
Zurück zum Zitat Sabouri S, Chang SD, Savdie R, Zhang J, Jones EC, Goldenberg SL, Black PC, Kozlowski P (2017) Luminal water imaging: a new MR imaging T2 mapping technique for prostate cancer diagnosis. Radiology 284(2):451–459PubMedCrossRef Sabouri S, Chang SD, Savdie R, Zhang J, Jones EC, Goldenberg SL, Black PC, Kozlowski P (2017) Luminal water imaging: a new MR imaging T2 mapping technique for prostate cancer diagnosis. Radiology 284(2):451–459PubMedCrossRef
21.
Zurück zum Zitat Panagiotaki E, Walker-Samuel S, Siow B, Johnson SP, Rajkumar V, Pedley RB, Lythgoe MF, Alexander DC (2014) Noninvasive quantification of solid tumor microstructure using VERDICT MRI. Can Res 74(7):1902–1912CrossRef Panagiotaki E, Walker-Samuel S, Siow B, Johnson SP, Rajkumar V, Pedley RB, Lythgoe MF, Alexander DC (2014) Noninvasive quantification of solid tumor microstructure using VERDICT MRI. Can Res 74(7):1902–1912CrossRef
22.
Zurück zum Zitat McCammack KC, Schenker-Ahmed NM, White NS, Best SR, Marks RM, Heimbigner J, Kane CJ, Parsons JK, Kuperman JM, Bartsch H, Desikan RS, Rakow-Penner RA, Liss MA, Margolis DJA, Raman SS, Shabaik A, Dale AM, Karow DS (2016) Restriction spectrum imaging improves MRI-based prostate cancer detection. Abdom Radiol 41(5):946–953CrossRef McCammack KC, Schenker-Ahmed NM, White NS, Best SR, Marks RM, Heimbigner J, Kane CJ, Parsons JK, Kuperman JM, Bartsch H, Desikan RS, Rakow-Penner RA, Liss MA, Margolis DJA, Raman SS, Shabaik A, Dale AM, Karow DS (2016) Restriction spectrum imaging improves MRI-based prostate cancer detection. Abdom Radiol 41(5):946–953CrossRef
23.
Zurück zum Zitat Nilsson M, Eklund G, Szczepankiewicz F, Skorpil M, Bryskhe K, Westin C-F, Lindh C, Blomqvist L, Jäderling F (2021) Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: a preliminary study. Magn Reson Med 86(4):2025–2033PubMedPubMedCentralCrossRef Nilsson M, Eklund G, Szczepankiewicz F, Skorpil M, Bryskhe K, Westin C-F, Lindh C, Blomqvist L, Jäderling F (2021) Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: a preliminary study. Magn Reson Med 86(4):2025–2033PubMedPubMedCentralCrossRef
24.
Zurück zum Zitat Chatterjee A, Bourne RM, Wang S, Devaraj A, Gallan AJ, Antic T, Karczmar GS, Oto A (2018) Diagnosis of prostate cancer with noninvasive estimation of prostate tissue composition by using hybrid multidimensional MR imaging: a feasibility study. Radiology 287(3):864–873PubMedCrossRef Chatterjee A, Bourne RM, Wang S, Devaraj A, Gallan AJ, Antic T, Karczmar GS, Oto A (2018) Diagnosis of prostate cancer with noninvasive estimation of prostate tissue composition by using hybrid multidimensional MR imaging: a feasibility study. Radiology 287(3):864–873PubMedCrossRef
26.
Zurück zum Zitat Lemberskiy G, Rosenkrantz AB, Veraart J, Taneja SS, Novikov DS, Fieremans E (2017) Time-dependent diffusion in prostate cancer. Investig Radiol 52(7):405–411CrossRef Lemberskiy G, Rosenkrantz AB, Veraart J, Taneja SS, Novikov DS, Fieremans E (2017) Time-dependent diffusion in prostate cancer. Investig Radiol 52(7):405–411CrossRef
27.
Zurück zum Zitat Zhang Z, Wu HH, Priester A, Magyar C, Mirak SA, Shakeri S, Bajgiran AM, Hosseiny M, Azadikhah A, Sung K, Reiter RE, Sisk AE, Raman S, Enzmann DR (2020) Prostate microstructure in prostate cancer using 3-T MRI with diffusion-relaxation correlation spectrum imaging: validation with whole-mount digital histopathology. Radiology 296(2):348–355PubMedCrossRef Zhang Z, Wu HH, Priester A, Magyar C, Mirak SA, Shakeri S, Bajgiran AM, Hosseiny M, Azadikhah A, Sung K, Reiter RE, Sisk AE, Raman S, Enzmann DR (2020) Prostate microstructure in prostate cancer using 3-T MRI with diffusion-relaxation correlation spectrum imaging: validation with whole-mount digital histopathology. Radiology 296(2):348–355PubMedCrossRef
28.
Zurück zum Zitat Kjaer L, Thomsen C, Iversen P, Henriksen O (1987) In vivo estimation of relaxation processes in benign hyperplasia and carcinoma of the prostate gland by magnetic resonance imaging. Magn Reson Imaging 5(1):23–30PubMedCrossRef Kjaer L, Thomsen C, Iversen P, Henriksen O (1987) In vivo estimation of relaxation processes in benign hyperplasia and carcinoma of the prostate gland by magnetic resonance imaging. Magn Reson Imaging 5(1):23–30PubMedCrossRef
29.
Zurück zum Zitat Storås TH, Gjesdal K-I, Gadmar ØB, Geitung JT, Kløw N-E (2008) Prostate magnetic resonance imaging: multiexponential T2 decay in prostate tissue. J Magn Reson Imaging 28(5):1166–1172PubMedCrossRef Storås TH, Gjesdal K-I, Gadmar ØB, Geitung JT, Kløw N-E (2008) Prostate magnetic resonance imaging: multiexponential T2 decay in prostate tissue. J Magn Reson Imaging 28(5):1166–1172PubMedCrossRef
30.
Zurück zum Zitat Gilani N, Rosenkrantz AB, Malcolm P, Johnson G (2015) Minimization of errors in biexponential T2 measurements of the prostate. J Magn Reson Imaging 42(4):1072–1077PubMedCrossRef Gilani N, Rosenkrantz AB, Malcolm P, Johnson G (2015) Minimization of errors in biexponential T2 measurements of the prostate. J Magn Reson Imaging 42(4):1072–1077PubMedCrossRef
31.
Zurück zum Zitat Sabouri S, Fazli L, Chang SD, Savdie R, Jones EC, Goldenberg SL, Black PC, Kozlowski P (2017) MR measurement of luminal water in prostate gland: quantitative correlation between MRI and histology. J Magn Reson Imaging 46(3):861–869PubMedPubMedCentralCrossRef Sabouri S, Fazli L, Chang SD, Savdie R, Jones EC, Goldenberg SL, Black PC, Kozlowski P (2017) MR measurement of luminal water in prostate gland: quantitative correlation between MRI and histology. J Magn Reson Imaging 46(3):861–869PubMedPubMedCentralCrossRef
32.
Zurück zum Zitat Carlin D, Orton MR, Collins D, deSouza NM (2019) Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion-weighted MRI. J Magn Reson Imaging 50(2):619–627PubMedCrossRef Carlin D, Orton MR, Collins D, deSouza NM (2019) Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion-weighted MRI. J Magn Reson Imaging 50(2):619–627PubMedCrossRef
33.
Zurück zum Zitat Devine W, Giganti F, Johnston EW, Sidhu HS, Panagiotaki E, Punwani S, Alexander DC, Atkinson D (2019) Simplified luminal water imaging for the detection of prostate cancer from multiecho T2 MR images. J Magn Reson Imaging 50(3):910–917PubMedCrossRef Devine W, Giganti F, Johnston EW, Sidhu HS, Panagiotaki E, Punwani S, Alexander DC, Atkinson D (2019) Simplified luminal water imaging for the detection of prostate cancer from multiecho T2 MR images. J Magn Reson Imaging 50(3):910–917PubMedCrossRef
34.
Zurück zum Zitat Chan RW, Lau AZ, Detzler G, Thayalasuthan V, Nam RK, Haider MA (2019) Evaluating the accuracy of multicomponent T2 parameters for luminal water imaging of the prostate with acceleration using inner-volume 3D GRASE. Magn Reson Med 81(1):466–476PubMedCrossRef Chan RW, Lau AZ, Detzler G, Thayalasuthan V, Nam RK, Haider MA (2019) Evaluating the accuracy of multicomponent T2 parameters for luminal water imaging of the prostate with acceleration using inner-volume 3D GRASE. Magn Reson Med 81(1):466–476PubMedCrossRef
35.
Zurück zum Zitat White NS, Leergaard TB, D’Arceuil H, Bjaalie JG, Dale AM (2013) Probing tissue microstructure with restriction spectrum imaging: histological and theoretical validation. Hum Brain Mapp 34(2):327–346PubMedCrossRef White NS, Leergaard TB, D’Arceuil H, Bjaalie JG, Dale AM (2013) Probing tissue microstructure with restriction spectrum imaging: histological and theoretical validation. Hum Brain Mapp 34(2):327–346PubMedCrossRef
36.
Zurück zum Zitat McCammack KC, Kane CJ, Parsons JK, White NS, Schenker-Ahmed NM, Kuperman JM, Bartsch H, Desikan RS, Rakow-Penner RA, Adams D, Liss MA, Mattrey RF, Bradley WG, Margolis DJA, Raman SS, Shabaik A, Dale AM, Karow DS (2016) In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI. Prostate Cancer Prostatic Dis 19(2):168–173PubMedPubMedCentralCrossRef McCammack KC, Kane CJ, Parsons JK, White NS, Schenker-Ahmed NM, Kuperman JM, Bartsch H, Desikan RS, Rakow-Penner RA, Adams D, Liss MA, Mattrey RF, Bradley WG, Margolis DJA, Raman SS, Shabaik A, Dale AM, Karow DS (2016) In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI. Prostate Cancer Prostatic Dis 19(2):168–173PubMedPubMedCentralCrossRef
37.
Zurück zum Zitat Yamin G, Schenker-Ahmed NM, Shabaik A, Adams D, Bartsch H, Kuperman J, White NS, Rakow-Penner RA, McCammack K, Parsons JK, Kane CJ, Dale AM, Karow DS (2016) Voxel level radiologic-pathologic validation of restriction spectrum imaging cellularity index with gleason grade in prostate cancer. Clin Cancer Res 22(11):2668PubMedPubMedCentralCrossRef Yamin G, Schenker-Ahmed NM, Shabaik A, Adams D, Bartsch H, Kuperman J, White NS, Rakow-Penner RA, McCammack K, Parsons JK, Kane CJ, Dale AM, Karow DS (2016) Voxel level radiologic-pathologic validation of restriction spectrum imaging cellularity index with gleason grade in prostate cancer. Clin Cancer Res 22(11):2668PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat Felker ER, Raman SS, Shakeri S, Mirak SA, Bajgiran AM, Kwan L, Khoshnoodi P, ElKhoury FF, Margolis DJA, Karow D, Lu DSK, White N, Marks LS (2019) Utility of restriction spectrum imaging among men undergoing first-time biopsy for suspected prostate cancer. Am J Roentgenol 213(2):365–370CrossRef Felker ER, Raman SS, Shakeri S, Mirak SA, Bajgiran AM, Kwan L, Khoshnoodi P, ElKhoury FF, Margolis DJA, Karow D, Lu DSK, White N, Marks LS (2019) Utility of restriction spectrum imaging among men undergoing first-time biopsy for suspected prostate cancer. Am J Roentgenol 213(2):365–370CrossRef
39.
Zurück zum Zitat Johnston EW, Bonet-Carne E, Ferizi U, Yvernault B, Pye H, Patel D, Clemente J, Piga W, Heavey S, Sidhu HS, Giganti F, O’Callaghan J, Appayya MB, Grey A, Saborowska A, Ourselin S, Hawkes D, Moore CM, Emberton M, Ahmed HU, Whitaker H, Rodriguez-Justo M, Freeman A, Atkinson D, Alexander D, Panagiotaki E, Punwani S (2019) VERDICT MRI for prostate cancer: intracellular volume fraction versus apparent diffusion coefficient. Radiology 291(2):391–397PubMedCrossRef Johnston EW, Bonet-Carne E, Ferizi U, Yvernault B, Pye H, Patel D, Clemente J, Piga W, Heavey S, Sidhu HS, Giganti F, O’Callaghan J, Appayya MB, Grey A, Saborowska A, Ourselin S, Hawkes D, Moore CM, Emberton M, Ahmed HU, Whitaker H, Rodriguez-Justo M, Freeman A, Atkinson D, Alexander D, Panagiotaki E, Punwani S (2019) VERDICT MRI for prostate cancer: intracellular volume fraction versus apparent diffusion coefficient. Radiology 291(2):391–397PubMedCrossRef
40.
Zurück zum Zitat Bailey C, Bourne RM, Siow B, Johnston EW, Brizmohun Appayya M, Pye H, Heavey S, Mertzanidou T, Whitaker H, Freeman A, Patel D, Shaw GL, Sridhar A, Hawkes DJ, Punwani S, Alexander DC, Panagiotaki E (2019) VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment. NMR Biomed 32(5):e4073PubMedPubMedCentralCrossRef Bailey C, Bourne RM, Siow B, Johnston EW, Brizmohun Appayya M, Pye H, Heavey S, Mertzanidou T, Whitaker H, Freeman A, Patel D, Shaw GL, Sridhar A, Hawkes DJ, Punwani S, Alexander DC, Panagiotaki E (2019) VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment. NMR Biomed 32(5):e4073PubMedPubMedCentralCrossRef
41.
Zurück zum Zitat Singh S, Rogers H, Kanber B, Clemente J, Pye H, Johnston EW, Parry T, Grey A, Dinneen E, Shaw G, Heavey S, Stopka-Farooqui U, Haider A, Freeman A, Giganti F, Atkinson D, Moore CM, Whitaker HC, Alexander DC, Panagiotaki E, Punwani S (2022) Avoiding unnecessary biopsy after multiparametric prostate MRI with VERDICT analysis: the INNOVATE study. Radiology 305(3):623–630PubMedCrossRef Singh S, Rogers H, Kanber B, Clemente J, Pye H, Johnston EW, Parry T, Grey A, Dinneen E, Shaw G, Heavey S, Stopka-Farooqui U, Haider A, Freeman A, Giganti F, Atkinson D, Moore CM, Whitaker HC, Alexander DC, Panagiotaki E, Punwani S (2022) Avoiding unnecessary biopsy after multiparametric prostate MRI with VERDICT analysis: the INNOVATE study. Radiology 305(3):623–630PubMedCrossRef
42.
Zurück zum Zitat Palombo M, Valindria V, Singh S, Chiou E, Giganti F, Pye H, Whitaker HC, Atkinson D, Punwani S, Alexander DC, Panagiotaki E (2023) Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Sci Rep 13(1):2999PubMedPubMedCentralCrossRef Palombo M, Valindria V, Singh S, Chiou E, Giganti F, Pye H, Whitaker HC, Atkinson D, Punwani S, Alexander DC, Panagiotaki E (2023) Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Sci Rep 13(1):2999PubMedPubMedCentralCrossRef
43.
Zurück zum Zitat Sen S, Valindria V, Slator PJ, Pye H, Grey A, Freeman A, Moore C, Whitaker H, Punwani S, Singh S, Panagiotaki E (2022) Differentiating false positive lesions from clinically significant cancer and normal prostate tissue using VERDICT MRI and other diffusion models. Diagnostics 12(7):1631PubMedPubMedCentralCrossRef Sen S, Valindria V, Slator PJ, Pye H, Grey A, Freeman A, Moore C, Whitaker H, Punwani S, Singh S, Panagiotaki E (2022) Differentiating false positive lesions from clinically significant cancer and normal prostate tissue using VERDICT MRI and other diffusion models. Diagnostics 12(7):1631PubMedPubMedCentralCrossRef
44.
Zurück zum Zitat Gilani N, Malcolm P, Johnson G (2017) A model describing diffusion in prostate cancer. Magn Reson Med 78(1):316–326PubMedCrossRef Gilani N, Malcolm P, Johnson G (2017) A model describing diffusion in prostate cancer. Magn Reson Med 78(1):316–326PubMedCrossRef
45.
Zurück zum Zitat Gilani N, Malcolm P, Johnson G (2017) An improved model for prostate diffusion incorporating the results of Monte Carlo simulations of diffusion in the cellular compartment. NMR Biomed 30(12):e3782CrossRef Gilani N, Malcolm P, Johnson G (2017) An improved model for prostate diffusion incorporating the results of Monte Carlo simulations of diffusion in the cellular compartment. NMR Biomed 30(12):e3782CrossRef
46.
Zurück zum Zitat Westin C-F, Szczepankiewicz F, Pasternak O, Özarslan E, Topgaard D, Knutsson H, Nilsson M (2014) Measurement tensors in diffusion MRI: generalizing the concept of diffusion encoding. In: Medical Image Computing and Computer-Assisted Intervention—MICCAI 2014. Springer, Cham, pp 209–216 Westin C-F, Szczepankiewicz F, Pasternak O, Özarslan E, Topgaard D, Knutsson H, Nilsson M (2014) Measurement tensors in diffusion MRI: generalizing the concept of diffusion encoding. In: Medical Image Computing and Computer-Assisted Intervention—MICCAI 2014. Springer, Cham, pp 209–216
47.
Zurück zum Zitat Westin C-F, Knutsson H, Pasternak O, Szczepankiewicz F, Özarslan E, van Westen D, Mattisson C, Bogren M, O’Donnell LJ, Kubicki M, Topgaard D, Nilsson M (2016) Q-space trajectory imaging for multidimensional diffusion MRI of the human brain. Neuroimage 135:345–362PubMedCrossRef Westin C-F, Knutsson H, Pasternak O, Szczepankiewicz F, Özarslan E, van Westen D, Mattisson C, Bogren M, O’Donnell LJ, Kubicki M, Topgaard D, Nilsson M (2016) Q-space trajectory imaging for multidimensional diffusion MRI of the human brain. Neuroimage 135:345–362PubMedCrossRef
48.
Zurück zum Zitat Langbein BJ, Szczepankiewicz F, Westin C-F, Bay C, Maier SE, Kibel AS, Tempany CM, Fennessy FM (2021) A pilot study of multidimensional diffusion MRI for assessment of tissue heterogeneity in prostate cancer. Investig Radiol 56(12):845–853CrossRef Langbein BJ, Szczepankiewicz F, Westin C-F, Bay C, Maier SE, Kibel AS, Tempany CM, Fennessy FM (2021) A pilot study of multidimensional diffusion MRI for assessment of tissue heterogeneity in prostate cancer. Investig Radiol 56(12):845–853CrossRef
49.
Zurück zum Zitat Wang S, Peng Y, Medved M, Yousuf AN, Ivancevic MK, Karademir I, Jiang Y, Antic T, Sammet S, Oto A, Karczmar GS (2014) Hybrid multidimensional T2 and diffusion-weighted MRI for prostate cancer detection. J Magn Reson Imaging 39(4):781–788PubMedCrossRef Wang S, Peng Y, Medved M, Yousuf AN, Ivancevic MK, Karademir I, Jiang Y, Antic T, Sammet S, Oto A, Karczmar GS (2014) Hybrid multidimensional T2 and diffusion-weighted MRI for prostate cancer detection. J Magn Reson Imaging 39(4):781–788PubMedCrossRef
50.
Zurück zum Zitat Sadinski M, Karczmar G, Peng Y, Wang S, Jiang Y, Medved M, Yousuf A, Antic T, Oto A (2016) Pilot study of the use of hybrid multidimensional T2-weighted imaging–DWI for the diagnosis of prostate cancer and evaluation of Gleason score. Am J Roentgenol 207(3):592–598CrossRef Sadinski M, Karczmar G, Peng Y, Wang S, Jiang Y, Medved M, Yousuf A, Antic T, Oto A (2016) Pilot study of the use of hybrid multidimensional T2-weighted imaging–DWI for the diagnosis of prostate cancer and evaluation of Gleason score. Am J Roentgenol 207(3):592–598CrossRef
51.
Zurück zum Zitat Chatterjee A, Mercado C, Bourne RM, Yousuf A, Hess B, Antic T, Eggener S, Oto A, Karczmar GS (2022) Validation of prostate tissue composition by using hybrid multidimensional MRI: correlation with histologic findings. Radiology 302(2):368–377PubMedCrossRef Chatterjee A, Mercado C, Bourne RM, Yousuf A, Hess B, Antic T, Eggener S, Oto A, Karczmar GS (2022) Validation of prostate tissue composition by using hybrid multidimensional MRI: correlation with histologic findings. Radiology 302(2):368–377PubMedCrossRef
52.
Zurück zum Zitat Chatterjee A, Antic T, Gallan AJ, Paner GP, Lin LIK, Karczmar GS, Oto A (2022) Histological validation of prostate tissue composition measurement using hybrid multi-dimensional MRI: agreement with pathologists’ measures. Abdom Radiol 47(2):801–813CrossRef Chatterjee A, Antic T, Gallan AJ, Paner GP, Lin LIK, Karczmar GS, Oto A (2022) Histological validation of prostate tissue composition measurement using hybrid multi-dimensional MRI: agreement with pathologists’ measures. Abdom Radiol 47(2):801–813CrossRef
53.
Zurück zum Zitat Lee GH, Chatterjee A, Karademir I, Engelmann R, Yousuf A, Giurcanu M, Harmath CB, Karczmar GS, Oto A (2022) Comparing radiologist performance in diagnosing clinically significant prostate cancer with multiparametric versus hybrid multidimensional MRI. Radiology 305(2):399–407PubMedCrossRef Lee GH, Chatterjee A, Karademir I, Engelmann R, Yousuf A, Giurcanu M, Harmath CB, Karczmar GS, Oto A (2022) Comparing radiologist performance in diagnosing clinically significant prostate cancer with multiparametric versus hybrid multidimensional MRI. Radiology 305(2):399–407PubMedCrossRef
54.
Zurück zum Zitat Lee G, Chatterjee A, Harmath C, Karademir I, Engelmann R, Yousuf A, Islam S, Karczmar G, Oto A, Giurcanu M, Antic T, Eggener S (2023) Improving reader accuracy and specificity with the addition of hybrid multidimensional-MRI to multiparametric-MRI in diagnosing clinically significant prostate cancers. Abdom Radiol 48(10):3216–3228CrossRef Lee G, Chatterjee A, Harmath C, Karademir I, Engelmann R, Yousuf A, Islam S, Karczmar G, Oto A, Giurcanu M, Antic T, Eggener S (2023) Improving reader accuracy and specificity with the addition of hybrid multidimensional-MRI to multiparametric-MRI in diagnosing clinically significant prostate cancers. Abdom Radiol 48(10):3216–3228CrossRef
55.
Zurück zum Zitat Chatterjee A, Engelmann R, Harmath C, Reynolds L, Antic A, Yousuf A, Eggener S, Karczmar G, Oto A (2023) Prospective validation of an automated hybrid multi-dimensional MR imaging-based tool to identify areas for prostate cancer biopsy. In: ARRS annual meeting, Honolulu, USA Chatterjee A, Engelmann R, Harmath C, Reynolds L, Antic A, Yousuf A, Eggener S, Karczmar G, Oto A (2023) Prospective validation of an automated hybrid multi-dimensional MR imaging-based tool to identify areas for prostate cancer biopsy. In: ARRS annual meeting, Honolulu, USA
56.
Zurück zum Zitat Benjamini D, Basser PJ (2017) Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments. Neuroimage 163:183–196PubMedCrossRef Benjamini D, Basser PJ (2017) Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments. Neuroimage 163:183–196PubMedCrossRef
57.
Zurück zum Zitat Wei X, Zhu L, Zeng Y, Xue K, Dai Y, Xu J, Liu G, Liu F, Xue W, Wu D, Wu G (2022) Detection of prostate cancer using diffusion-relaxation correlation spectrum imaging with support vector machine model—a feasibility study. Cancer Imaging 22(1):77PubMedPubMedCentralCrossRef Wei X, Zhu L, Zeng Y, Xue K, Dai Y, Xu J, Liu G, Liu F, Xue W, Wu D, Wu G (2022) Detection of prostate cancer using diffusion-relaxation correlation spectrum imaging with support vector machine model—a feasibility study. Cancer Imaging 22(1):77PubMedPubMedCentralCrossRef
58.
Zurück zum Zitat Wu D, Jiang K, Li H, Zhang Z, Ba R, Zhang Y, Hsu Y-C, Sun Y, Zhang Y-D (2022) Time-dependent diffusion MRI for quantitative microstructural mapping of prostate cancer. Radiology 303(3):578–587PubMedCrossRef Wu D, Jiang K, Li H, Zhang Z, Ba R, Zhang Y, Hsu Y-C, Sun Y, Zhang Y-D (2022) Time-dependent diffusion MRI for quantitative microstructural mapping of prostate cancer. Radiology 303(3):578–587PubMedCrossRef
59.
Zurück zum Zitat Jiang X, Li H, Xie J, McKinley ET, Zhao P, Gore JC, Xu J (2017) In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy. Magn Reson Med 78(1):156–164PubMedCrossRef Jiang X, Li H, Xie J, McKinley ET, Zhao P, Gore JC, Xu J (2017) In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy. Magn Reson Med 78(1):156–164PubMedCrossRef
60.
Zurück zum Zitat Sonn GA, Fan RE, Kunder CA, Gold GE, James KM, Parker ID, Carlson JM, Cannizzaro SM, James TW (2021) MR method for measuring microscopic histologic soft tissue textures. Magn Reson Med 86(1):308–319PubMedCrossRef Sonn GA, Fan RE, Kunder CA, Gold GE, James KM, Parker ID, Carlson JM, Cannizzaro SM, James TW (2021) MR method for measuring microscopic histologic soft tissue textures. Magn Reson Med 86(1):308–319PubMedCrossRef
61.
Zurück zum Zitat James K, Sonn G, Fan R, James T (2021) Noninvasive, high-sensitivity method for diagnosing early-stage prostate disease by measurement of tissue histopathology without biopsy. In: Prostate Cancer Foundation Symposia James K, Sonn G, Fan R, James T (2021) Noninvasive, high-sensitivity method for diagnosing early-stage prostate disease by measurement of tissue histopathology without biopsy. In: Prostate Cancer Foundation Symposia
62.
Zurück zum Zitat McGarry SD, Hurrell SL, Iczkowski KA, Hall W, Kaczmarowski AL, Banerjee A, Keuter T, Jacobsohn K, Bukowy JD, Nevalainen MT, Hohenwalter MD, See WA, LaViolette PS (2018) Radio-pathomic maps of epithelium and lumen density predict the location of high-grade prostate cancer. Int J Radiat Oncol Biol Phys 101(5):1179–1187PubMedPubMedCentralCrossRef McGarry SD, Hurrell SL, Iczkowski KA, Hall W, Kaczmarowski AL, Banerjee A, Keuter T, Jacobsohn K, Bukowy JD, Nevalainen MT, Hohenwalter MD, See WA, LaViolette PS (2018) Radio-pathomic maps of epithelium and lumen density predict the location of high-grade prostate cancer. Int J Radiat Oncol Biol Phys 101(5):1179–1187PubMedPubMedCentralCrossRef
63.
Zurück zum Zitat Shiradkar R, Panda A, Leo P, Janowczyk A, Farre X, Janaki N, Li L, Pahwa S, Mahran A, Buzzy C, Fu P, Elliott R, MacLennan G, Ponsky L, Gulani V, Madabhushi A (2021) T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. Eur Radiol 31(3):1336–1346PubMedCrossRef Shiradkar R, Panda A, Leo P, Janowczyk A, Farre X, Janaki N, Li L, Pahwa S, Mahran A, Buzzy C, Fu P, Elliott R, MacLennan G, Ponsky L, Gulani V, Madabhushi A (2021) T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. Eur Radiol 31(3):1336–1346PubMedCrossRef
64.
Zurück zum Zitat Sigmund EE, Rosenkrantz AB (2019) Diffusion-weighted imaging of prostate cancer: revisiting Occam’s Razor. Radiology 291(2):398–399PubMedCrossRef Sigmund EE, Rosenkrantz AB (2019) Diffusion-weighted imaging of prostate cancer: revisiting Occam’s Razor. Radiology 291(2):398–399PubMedCrossRef
65.
Zurück zum Zitat Gundogdu B, Chatterjee A, Kalidoss S, Karczmar GS, Oto A (2024) Pathology without a knife: MRI-based non-invasive determination of prostate cancer gradewith physics-informed deep learning. In: Proc. Intl. Soc. Mag. Reson. Med., Singapore Gundogdu B, Chatterjee A, Kalidoss S, Karczmar GS, Oto A (2024) Pathology without a knife: MRI-based non-invasive determination of prostate cancer gradewith physics-informed deep learning. In: Proc. Intl. Soc. Mag. Reson. Med., Singapore
66.
Zurück zum Zitat McGarry SD, Bukowy JD, Iczkowski KA, Unteriner JG, Duvnjak P, Lowman AK, Jacobsohn K, Hohenwalter M, Griffin MO, Barrington AW, Foss HE, Keuter T, Hurrell SL, See WA, Nevalainen MT, Banerjee A, LaViolette PS (2019) Gleason probability maps: a radiomics tool for mapping prostate cancer likelihood in MRI space. Tomography 5(1):127–134PubMedPubMedCentralCrossRef McGarry SD, Bukowy JD, Iczkowski KA, Unteriner JG, Duvnjak P, Lowman AK, Jacobsohn K, Hohenwalter M, Griffin MO, Barrington AW, Foss HE, Keuter T, Hurrell SL, See WA, Nevalainen MT, Banerjee A, LaViolette PS (2019) Gleason probability maps: a radiomics tool for mapping prostate cancer likelihood in MRI space. Tomography 5(1):127–134PubMedPubMedCentralCrossRef
67.
Zurück zum Zitat Tian Y, Nayak KS (2024) New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal. Magn Reson Mater Phys Biol Med 37(1):1–14CrossRef Tian Y, Nayak KS (2024) New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal. Magn Reson Mater Phys Biol Med 37(1):1–14CrossRef
Metadaten
Titel
MRI-based virtual pathology of the prostate
verfasst von
Aritrick Chatterjee
Durgesh Kumar Dwivedi
Publikationsdatum
10.06.2024
Verlag
Springer International Publishing
Erschienen in
Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 4/2024
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-024-01163-w

Neu im Fachgebiet Radiologie

KI-gestütztes Mammografiescreening überzeugt im Praxistest

Mit dem Einsatz künstlicher Intelligenz lässt sich die Detektionsrate im Mammografiescreening offenbar deutlich steigern. Mehr unnötige Zusatzuntersuchungen sind laut der Studie aus Deutschland nicht zu befürchten.

Stumme Schlaganfälle − ein häufiger Nebenbefund im Kopf-CT?

In 4% der in der Notfallambulanz initiierten zerebralen Bildgebung sind „alte“ Schlaganfälle zu erkennen. Gar nicht so selten handelt es sich laut einer aktuellen Studie dabei um unbemerkte Insulte. Bietet sich hier womöglich die Chance auf ein effektives opportunistisches Screening?

Die elektronische Patientenakte kommt: Das sollten Sie jetzt wissen

Am 15. Januar geht die „ePA für alle“ zunächst in den Modellregionen an den Start. Doch schon bald soll sie in allen Praxen zum Einsatz kommen. Was ist jetzt zu tun? Was müssen Sie wissen? Wir geben in einem FAQ Antworten auf 21 Fragen.

Stören weiße Wände und viel Licht die Bildqualitätskontrolle?

Wenn es darum geht, die technische Qualität eines Mammogramms zu beurteilen, könnten graue Wandfarbe und reduzierte Beleuchtung im Bildgebungsraum von Vorteil sein. Darauf deuten zumindest Ergebnisse einer kleinen Studie hin. 

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.