Skip to main content
Erschienen in: International Urology and Nephrology 5/2019

30.03.2019 | Urology - Original Paper

The clinical utility of prostate cancer heterogeneity using texture analysis of multiparametric MRI

verfasst von: Maira Hameed, Balaji Ganeshan, Joshua Shur, Subhabrata Mukherjee, Asim Afaq, Deepak Batura

Erschienen in: International Urology and Nephrology | Ausgabe 5/2019

Einloggen, um Zugang zu erhalten

Abstract

Purpose

To determine if multiparametric MRI (mpMRI) derived filtration-histogram based texture analysis (TA) can differentiate between different Gleason scores (GS) and the D’Amico risk in prostate cancer.

Methods

We retrospectively studied patients whose pre-operative 1.5T mpMRI had shown a visible tumour and who subsequently underwent radical prostatectomy (RP). Guided by tumour location from the histopathology report, we drew a region of interest around the dominant visible lesion on a single axial slice on the T2, Apparent Diffusion Coefficient (ADC) map and early arterial phase post-contrast T1 image. We then performed TA with a filtration-histogram software (TexRAD -Feedback Medical Ltd, Cambridge, UK). We correlated GS and D’Amico risk with texture using the Spearman’s rank correlation test.

Results

We had 26 RP patients with an MR-visible tumour. Mean of positive pixels (MPP) on ADC showed a significant negative correlation with GS at coarse texture scales. MPP showed a significant negative correlation with GS without filtration and with medium filtration. MRI contrast texture without filtration showed a significant, negative correlation with D’Amico score. MR T2 texture showed a significant, negative correlation with the D’Amico risk, particularly at textures without filtration, medium texture scales and coarse texture scales.

Conclusion

ADC map mpMRI TA correlated negatively with GS, and T2 and post-contrast images with the D’Amico risk score. These associations may allow for better assessment of disease prognosis and a non-invasive method of follow-up for patients on surveillance. Further, identifying clinically significant prostate cancer is essential to reduce harm from over-diagnosis and over-treatment.
Literatur
1.
Zurück zum Zitat D’Amico A (1998) Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer. JAMA 280(11):969PubMedCrossRef D’Amico A (1998) Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer. JAMA 280(11):969PubMedCrossRef
2.
Zurück zum Zitat Klotz L, Zhang L, Lam A, Nam R, Mamedov A, Loblaw A (2010) Clinical results of long-term follow-up of a large, active surveillance cohort with localized prostate cancer. J Clin Oncol 28:126–131PubMedCrossRef Klotz L, Zhang L, Lam A, Nam R, Mamedov A, Loblaw A (2010) Clinical results of long-term follow-up of a large, active surveillance cohort with localized prostate cancer. J Clin Oncol 28:126–131PubMedCrossRef
5.
Zurück zum Zitat Delongchamps N, Rouanne M, Flam T, Beuvon F, Liberatore M, Zerbib M, Cornud F (2011) Multiparametric magnetic resonance imaging for the detection and localization of prostate cancer: combination of T2-weighted, dynamic contrast-enhanced and diffusion-weighted imaging. BJU Int 107(9):1411–1418PubMedCrossRef Delongchamps N, Rouanne M, Flam T, Beuvon F, Liberatore M, Zerbib M, Cornud F (2011) Multiparametric magnetic resonance imaging for the detection and localization of prostate cancer: combination of T2-weighted, dynamic contrast-enhanced and diffusion-weighted imaging. BJU Int 107(9):1411–1418PubMedCrossRef
6.
Zurück zum Zitat Berglund R, Masterson T, Vora K, Eggener S, Eastham J, Guillonneau B (2008) Pathological upgrading and up staging with immediate repeat biopsy in patients eligible for active surveillance. J Urol 180(5):1964–1968PubMedPubMedCentralCrossRef Berglund R, Masterson T, Vora K, Eggener S, Eastham J, Guillonneau B (2008) Pathological upgrading and up staging with immediate repeat biopsy in patients eligible for active surveillance. J Urol 180(5):1964–1968PubMedPubMedCentralCrossRef
7.
Zurück zum Zitat Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH et al (2018) MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med 378(19):1767–1777PubMedCrossRefPubMedCentral Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH et al (2018) MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med 378(19):1767–1777PubMedCrossRefPubMedCentral
8.
Zurück zum Zitat Sahibzada I, Batura D, Hellawell G (2016) Validating multiparametric MRI for diagnosis and monitoring of prostate cancer in patients for active surveillance. Int Urol Nephrol 48(4):529–533PubMedCrossRef Sahibzada I, Batura D, Hellawell G (2016) Validating multiparametric MRI for diagnosis and monitoring of prostate cancer in patients for active surveillance. Int Urol Nephrol 48(4):529–533PubMedCrossRef
9.
Zurück zum Zitat Barentsz J, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, Rouviere O, Logager V, Fütterer J (2012) ESUR prostate MR guidelines 2012. Eur Radiol 22(4):746–757PubMedPubMedCentralCrossRef Barentsz J, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, Rouviere O, Logager V, Fütterer J (2012) ESUR prostate MR guidelines 2012. Eur Radiol 22(4):746–757PubMedPubMedCentralCrossRef
10.
Zurück zum Zitat Eliat P, Olivié D, Saïkali S, Carsin B, Saint-Jalmes H, de Certaines J (2012) Can dynamic contrast-enhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma? Neurol Res Int 2012:1–7CrossRef Eliat P, Olivié D, Saïkali S, Carsin B, Saint-Jalmes H, de Certaines J (2012) Can dynamic contrast-enhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma? Neurol Res Int 2012:1–7CrossRef
11.
Zurück zum Zitat Parikh J, Selmi M, Charles-Edwards G, Glendenning J, Ganeshan B, Verma H, Mansi J, Harries M, Tutt A, Goh V (2014) Changes in primary breast cancer heterogeneity may augment midtreatment MR imaging assessment of response to neoadjuvant chemotherapy. Radiology 272(1):100–112PubMedCrossRef Parikh J, Selmi M, Charles-Edwards G, Glendenning J, Ganeshan B, Verma H, Mansi J, Harries M, Tutt A, Goh V (2014) Changes in primary breast cancer heterogeneity may augment midtreatment MR imaging assessment of response to neoadjuvant chemotherapy. Radiology 272(1):100–112PubMedCrossRef
12.
Zurück zum Zitat De Cecco C, Ganeshan B, Ciolina M, Rengo M, Meinel F, Musio D, De Felice F, Raffetto N, Tombolini V, Laghi A (2015) Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-t magnetic resonance. Invest Radiol 50(4):239–245PubMedCrossRef De Cecco C, Ganeshan B, Ciolina M, Rengo M, Meinel F, Musio D, De Felice F, Raffetto N, Tombolini V, Laghi A (2015) Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-t magnetic resonance. Invest Radiol 50(4):239–245PubMedCrossRef
13.
Zurück zum Zitat Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K (2011) Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 22(4):796–802PubMedCrossRef Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K (2011) Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 22(4):796–802PubMedCrossRef
14.
Zurück zum Zitat Miles K, Ganeshan B, Griffiths M, Young R, Chatwin C (2009) Colorectal cancer: texture analysis of portal phase hepatic CT images as a potential marker of survival. Radiology 250(2):444–452PubMedCrossRef Miles K, Ganeshan B, Griffiths M, Young R, Chatwin C (2009) Colorectal cancer: texture analysis of portal phase hepatic CT images as a potential marker of survival. Radiology 250(2):444–452PubMedCrossRef
15.
Zurück zum Zitat Ganeshan B, Skogen K, Pressney I, Coutroubis D, Miles K (2012) Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival. Clin Radiol 67(2):157–164PubMedCrossRef Ganeshan B, Skogen K, Pressney I, Coutroubis D, Miles K (2012) Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival. Clin Radiol 67(2):157–164PubMedCrossRef
16.
Zurück zum Zitat Davnall F, Yip C, Ljungqvist G, Selmi M, Ng F, Sanghera B, Ganeshan B, Miles K, Cook G, Goh V (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3(6):573–589PubMedPubMedCentralCrossRef Davnall F, Yip C, Ljungqvist G, Selmi M, Ng F, Sanghera B, Ganeshan B, Miles K, Cook G, Goh V (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3(6):573–589PubMedPubMedCentralCrossRef
17.
Zurück zum Zitat Miles K, Ganeshan B, Hayball M (2013) CT texture analysis using the filtration-histogram method: what do the measurements mean? Cancer Imaging 13(3):400–406PubMedPubMedCentralCrossRef Miles K, Ganeshan B, Hayball M (2013) CT texture analysis using the filtration-histogram method: what do the measurements mean? Cancer Imaging 13(3):400–406PubMedPubMedCentralCrossRef
18.
Zurück zum Zitat Donati O, Mazaheri Y, Afaq A, Vargas H, Zheng J, Moskowitz C, Hricak H, Akin O (2014) Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient. Radiology 271(1):143–152PubMedCrossRef Donati O, Mazaheri Y, Afaq A, Vargas H, Zheng J, Moskowitz C, Hricak H, Akin O (2014) Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient. Radiology 271(1):143–152PubMedCrossRef
19.
Zurück zum Zitat Ytre-Hauge S, Dybvik J, Lundervold A, Salvesen Ø, Krakstad C, Fasmer K, Werner H, Ganeshan B, Høivik E, Bjørge L, Trovik J, Haldorsen I (2018) Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. J Magn Reson Imaging 48(6):1637–1647PubMedCrossRef Ytre-Hauge S, Dybvik J, Lundervold A, Salvesen Ø, Krakstad C, Fasmer K, Werner H, Ganeshan B, Høivik E, Bjørge L, Trovik J, Haldorsen I (2018) Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. J Magn Reson Imaging 48(6):1637–1647PubMedCrossRef
20.
Zurück zum Zitat Schob S, Meyer H, Dieckow J, Pervinder B, Pazaitis N, Höhn A, Garnov N, Horvath-Rizea D, Hoffmann K, Surov A (2017) Histogram analysis of diffusion weighted imaging at 3T is useful for prediction of lymphatic metastatic spread, proliferative activity, and cellularity in thyroid cancer. Int J Mol Sci 18(4):821PubMedCentralCrossRef Schob S, Meyer H, Dieckow J, Pervinder B, Pazaitis N, Höhn A, Garnov N, Horvath-Rizea D, Hoffmann K, Surov A (2017) Histogram analysis of diffusion weighted imaging at 3T is useful for prediction of lymphatic metastatic spread, proliferative activity, and cellularity in thyroid cancer. Int J Mol Sci 18(4):821PubMedCentralCrossRef
22.
Zurück zum Zitat Pierorazio P, Walsh P, Partin A, Epstein J (2013) Prognostic Gleason grade grouping: data based on the modified Gleason scoring system. BJU Int 111(5):753–760PubMedPubMedCentralCrossRef Pierorazio P, Walsh P, Partin A, Epstein J (2013) Prognostic Gleason grade grouping: data based on the modified Gleason scoring system. BJU Int 111(5):753–760PubMedPubMedCentralCrossRef
23.
Zurück zum Zitat Dikaios N, Alkalbani J, Sidhu H, Fujiwara T, Abd-Alazeez M, Kirkham A, Allen C, Ahmed H, Emberton M, Freeman A, Halligan S, Taylor S, Atkinson D, Punwani S (2014) Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI. Eur Radiol 25(2):523–532PubMedPubMedCentralCrossRef Dikaios N, Alkalbani J, Sidhu H, Fujiwara T, Abd-Alazeez M, Kirkham A, Allen C, Ahmed H, Emberton M, Freeman A, Halligan S, Taylor S, Atkinson D, Punwani S (2014) Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI. Eur Radiol 25(2):523–532PubMedPubMedCentralCrossRef
24.
Zurück zum Zitat Langer D, van der Kwast T, Evans A, Trachtenberg J, Wilson B, Haider M (2009) Prostate cancer detection with multi-parametric MRI: logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI. J Magn Reson Imaging 30(2):327–334PubMedCrossRef Langer D, van der Kwast T, Evans A, Trachtenberg J, Wilson B, Haider M (2009) Prostate cancer detection with multi-parametric MRI: logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI. J Magn Reson Imaging 30(2):327–334PubMedCrossRef
25.
Zurück zum Zitat Oto A, Kayhan A, Jiang Y, Tretiakova M, Yang C, Antic T, Dahi F, Shalhav A, Karczmar G, Stadler W (2010) Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging. Radiology 257(3):715–723PubMedCrossRef Oto A, Kayhan A, Jiang Y, Tretiakova M, Yang C, Antic T, Dahi F, Shalhav A, Karczmar G, Stadler W (2010) Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging. Radiology 257(3):715–723PubMedCrossRef
26.
Zurück zum Zitat Wibmer A, Hricak H, Gondo T, Matsumoto K, Veeraraghavan H, Fehr D, Zheng J, Goldman D, Moskowitz C, Fine S, Reuter V, Eastham J, Sala E, Vargas H (2015) Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores. Eur Radiol 25(10):2840–2850PubMedPubMedCentralCrossRef Wibmer A, Hricak H, Gondo T, Matsumoto K, Veeraraghavan H, Fehr D, Zheng J, Goldman D, Moskowitz C, Fine S, Reuter V, Eastham J, Sala E, Vargas H (2015) Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores. Eur Radiol 25(10):2840–2850PubMedPubMedCentralCrossRef
27.
Zurück zum Zitat Bates A, Miles K (2017) Prostate-specific membrane antigen PET/MRI validation of MR textural analysis for detection of transition zone prostate cancer. Eur Radiol 27(12):5290–5298PubMedCrossRef Bates A, Miles K (2017) Prostate-specific membrane antigen PET/MRI validation of MR textural analysis for detection of transition zone prostate cancer. Eur Radiol 27(12):5290–5298PubMedCrossRef
28.
Zurück zum Zitat Sidhu H, Benigno S, Ganeshan B, Dikaios N, Johnston E, Allen C, Kirkham A, Groves A, Ahmed H, Emberton M, Taylor S, Halligan S, Punwani S (2016) Textural analysis of multiparametric MRI detects transition zone prostate cancer. Eur Radiol 27(6):2348–2358PubMedPubMedCentralCrossRef Sidhu H, Benigno S, Ganeshan B, Dikaios N, Johnston E, Allen C, Kirkham A, Groves A, Ahmed H, Emberton M, Taylor S, Halligan S, Punwani S (2016) Textural analysis of multiparametric MRI detects transition zone prostate cancer. Eur Radiol 27(6):2348–2358PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Barry MJ (2001) Clinical practice prostate-specific-antigen testing for early diagnosis of prostate cancer. N Engl J Med 344(18):1373–1377PubMedCrossRef Barry MJ (2001) Clinical practice prostate-specific-antigen testing for early diagnosis of prostate cancer. N Engl J Med 344(18):1373–1377PubMedCrossRef
30.
Zurück zum Zitat Yoon H-J, Kim Y, Chung J, Kim BS (2018) Predicting neo-adjuvant chemotherapy response and progression-free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F-18 FDG PET/CT and diffusion-weighted MR imaging. Breast J. https://doi.org/10.1111/tbj.13032 PubMedCrossRef Yoon H-J, Kim Y, Chung J, Kim BS (2018) Predicting neo-adjuvant chemotherapy response and progression-free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F-18 FDG PET/CT and diffusion-weighted MR imaging. Breast J. https://​doi.​org/​10.​1111/​tbj.​13032 PubMedCrossRef
31.
Zurück zum Zitat Dickinson L, Ahmed H, Allen C, Barentsz J, Carey B, Futterer J, Heijmink S, Hoskin P, Kirkham A, Padhani A, Persad R, Puech P, Punwani S, Sohaib A, Tombal B, Villers A, van der Meulen J, Emberton M (2011) Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting. Eur Urol 59(4):477–494PubMedCrossRef Dickinson L, Ahmed H, Allen C, Barentsz J, Carey B, Futterer J, Heijmink S, Hoskin P, Kirkham A, Padhani A, Persad R, Puech P, Punwani S, Sohaib A, Tombal B, Villers A, van der Meulen J, Emberton M (2011) Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting. Eur Urol 59(4):477–494PubMedCrossRef
32.
Zurück zum Zitat Taira A, Merrick G, Galbreath R, Andreini H, Taubenslag W, Curtis R, Butler W, Adamovich E, Wallner K (2009) Performance of transperineal template-guided mapping biopsy in detecting prostate cancer in the initial and repeat biopsy setting. Prostate Cancer Prostatic Dis 13(1):71–77PubMedPubMedCentralCrossRef Taira A, Merrick G, Galbreath R, Andreini H, Taubenslag W, Curtis R, Butler W, Adamovich E, Wallner K (2009) Performance of transperineal template-guided mapping biopsy in detecting prostate cancer in the initial and repeat biopsy setting. Prostate Cancer Prostatic Dis 13(1):71–77PubMedPubMedCentralCrossRef
33.
Zurück zum Zitat Bratan F, Niaf E, Melodelima C, Chesnais A, Souchon R, Mège-Lechevallier F, Colombel M, Rouvière O (2013) Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study. Eur Radiol 23(7):2019–2029PubMedCrossRef Bratan F, Niaf E, Melodelima C, Chesnais A, Souchon R, Mège-Lechevallier F, Colombel M, Rouvière O (2013) Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study. Eur Radiol 23(7):2019–2029PubMedCrossRef
34.
Zurück zum Zitat Lee S, Park K, Choi K, Lim B, Kim J, Lee S, Chung B (2010) Is endorectal coil necessary for the staging of clinically localized prostate cancer? Comparison of non-endorectal versus endorectal MR imaging. World J Urol 28(6):667–672PubMedCrossRef Lee S, Park K, Choi K, Lim B, Kim J, Lee S, Chung B (2010) Is endorectal coil necessary for the staging of clinically localized prostate cancer? Comparison of non-endorectal versus endorectal MR imaging. World J Urol 28(6):667–672PubMedCrossRef
35.
Zurück zum Zitat Langer D, van der Kwast T, Evans A, Sun L, Yaffe M, Trachtenberg J, Haider M (2008) Intermixed normal tissue within prostate cancer: effect on MR imaging measurements of apparent diffusion coefficient and T2—sparse versus dense cancers. Radiology 249(3):900–908PubMedCrossRef Langer D, van der Kwast T, Evans A, Sun L, Yaffe M, Trachtenberg J, Haider M (2008) Intermixed normal tissue within prostate cancer: effect on MR imaging measurements of apparent diffusion coefficient and T2—sparse versus dense cancers. Radiology 249(3):900–908PubMedCrossRef
Metadaten
Titel
The clinical utility of prostate cancer heterogeneity using texture analysis of multiparametric MRI
verfasst von
Maira Hameed
Balaji Ganeshan
Joshua Shur
Subhabrata Mukherjee
Asim Afaq
Deepak Batura
Publikationsdatum
30.03.2019
Verlag
Springer Netherlands
Erschienen in
International Urology and Nephrology / Ausgabe 5/2019
Print ISSN: 0301-1623
Elektronische ISSN: 1573-2584
DOI
https://doi.org/10.1007/s11255-019-02134-0

Weitere Artikel der Ausgabe 5/2019

International Urology and Nephrology 5/2019 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

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