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References (58)
-
C. Tamura, H. Shinmoto, Shigeyoshi Soga, Teppei Okamura, Hiroki Sato, T. Okuaki, Y. Pang, S. Kosuda, T. Kaji (2014)
Diffusion kurtosis imaging study of prostate cancer: Preliminary findingsJournal of Magnetic Resonance Imaging, 40
-
Sumei Wang, S. Kim, Yu Zhang, Luyao Wang, Edward Lee, P. Syre, Harish Poptani, E. Melhem, John Lee (2012)
Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics.Radiology, 262 2
-
M. Quentin, D. Blondin, J. Klasen, R. Lanzman, F. Miese, C. Arsov, P. Albers, G. Antoch, H. Wittsack (2012)
Comparison of different mathematical models of diffusion-weighted prostate MR imaging.Magnetic resonance imaging, 30 10
-
T. Hambrock, C. Hoeks, C. Kaa, T. Scheenen, J. Fütterer, S. Bouwense, I. Oort, F. Schröder, H. Huisman, J. Barentsz (2012)
Prospective assessment of prostate cancer aggressiveness using 3-T diffusion-weighted magnetic resonance imaging-guided biopsies versus a systematic 10-core transrectal ultrasound prostate biopsy cohort.European urology, 61 1
-
P. Iu (2013)
ESUR prostate MR guidelines.European radiology, 23 8
-
P. Gibbs, G. Liney, M. Pickles, B. Zelhof, G. Rodrigues, L. Turnbull (2009)
Correlation of ADC and T2 Measurements With Cell Density in Prostate Cancer at 3.0 TeslaInvestigative Radiology, 44
-
D. Langer, T. Kwast, A. Evans, A. Plotkin, J. Trachtenberg, B. Wilson, M. Haider (2010)
Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K(trans), v(e), and corresponding histologic features.Radiology, 255 2
-
C. Hughes, A. Murphy, A. Murphy, A. Murphy, Cara Martin, O. Sheils, J. O'Leary (2005)
Molecular pathology of prostate cancerJournal of Clinical Pathology, 58
-
H. Grönberg (2003)
Prostate cancer epidemiologyThe Lancet, 361
-
Iclal Ocak, M. Bernardo, G. Metzger, T. Barrett, P. Pinto, P. Albert, P. Choyke (2007)
Dynamic contrast-enhanced MRI of prostate cancer at 3 T: a study of pharmacokinetic parameters.AJR. American journal of roentgenology, 189 4
-
H. Merisaari, I. Jambor (2015)
Optimization of b‐value distribution for four mathematical models of prostate cancer diffusion‐weighted imaging using b values up to 2000 s/mm2: Simulation and repeatability studyMagnetic Resonance in Medicine, 73
-
A. Sinha, B. Quast, P. Reddy, Vikas Lall, Michael Wilson, J. Qian, D. Bostwick (2004)
Microvessel density as a molecular marker for identifying high-grade prostatic intraepithelial neoplasia precursors to prostate cancer.Experimental and molecular pathology, 77 2
-
Haiyi Wang, Liuquan Cheng, Xu Zhang, Dianjun Wang, Aitao Guo, Yuan-gui Gao, H. Ye (2010)
Renal cell carcinoma: diffusion-weighted MR imaging for subtype differentiation at 3.0 T.Radiology, 257 1
-
I. Jambor, H. Merisaari, P. Taimen, P. Boström, H. Minn, Marko Pesola, H. Aronen (2015)
Evaluation of different mathematical models for diffusion‐weighted imaging of normal prostate and prostate cancer using high b‐values: A repeatability studyMagnetic Resonance in Medicine, 73
-
V. Morgan, S. Riches, Karen Thomas, N. Vanas, Chris Parker, S. Giles, N. deSouza (2011)
Diffusion-weighted magnetic resonance imaging for monitoring prostate cancer progression in patients managed by active surveillance.The British journal of radiology, 84 997
-
H. Vargas, O. Akin, T. Franiel, Y. Mazaheri, Junting Zheng, C. Moskowitz, Kazuma Udo, J. Eastham, H. Hricak (2011)
Diffusion-weighted endorectal MR imaging at 3 T for prostate cancer: tumor detection and assessment of aggressiveness.Radiology, 259 3
-
M. Sumi, M. Cauteren, T. Sumi, M. Obara, Y. Ichikawa, Takashi Nakamura (2012)
Salivary gland tumors: use of intravoxel incoherent motion MR imaging for assessment of diffusion and perfusion for the differentiation of benign from malignant tumors.Radiology, 263 3
-
J. Döpfert, A. Lemke, A. Weidner, L. Schad (2011)
Investigation of prostate cancer using diffusion-weighted intravoxel incoherent motion imaging.Magnetic resonance imaging, 29 8
-
B. Zelhof, M. Pickles, G. Liney, P. Gibbs, G. Rodrigues, Sigurd Kraus, L. Turnbull (2009)
Correlation of diffusion‐weighted magnetic resonance data with cellularity in prostate cancerBJU International, 103
-
Y. Pang, B. Turkbey, M. Bernardo, J. Kruecker, S. Kadoury, Maria Merino, Bradford Wood, P. Pinto, P. Choyke (2013)
Intravoxel incoherent motion MR imaging for prostate cancer: An evaluation of perfusion fraction and diffusion coefficient derived from different b‐value combinationsMagnetic Resonance in Medicine, 69
-
A. Oto, Cheng Yang, A. Kayhan, M. Tretiakova, T. Antic, C. Schmid-Tannwald, S. Eggener, G. Karczmar, W. Stadler (2011)
Diffusion-weighted and dynamic contrast-enhanced MRI of prostate cancer: correlation of quantitative MR parameters with Gleason score and tumor angiogenesis.AJR. American journal of roentgenology, 197 6
-
SF Riches, K. Hawtin, EM Charles-Edwards, NM Souza (2009)
Diffusion‐weighted imaging of the prostate and rectal wall: comparison of biexponential and monoexponential modelled diffusion and associated perfusion coefficientsNMR in Biomedicine, 22
-
L. Cazares, R. Drake, A. Esquela-Kirscher, R. Lance, O. Semmes, D. Troyer, D. Troyer (2010)
Molecular pathology of prostate cancer.Cancer biomarkers : section A of Disease markers, 9 1-6
-
A. Rosenkrantz, E. Sigmund, G. Johnson, J. Babb, T. Mussi, J. Melamed, S. Taneja, V. Lee, J. Jensen (2012)
Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer.Radiology, 264 1
-
C. Woodfield, G. Tung, D. Grand, J. Pezzullo, J. Machan, J. Renzulli (2010)
Diffusion-weighted MRI of peripheral zone prostate cancer: comparison of tumor apparent diffusion coefficient with Gleason score and percentage of tumor on core biopsy.AJR. American journal of roentgenology, 194 4
-
J. Ren, Yi Huan, Haichang Wang, Yingjuan Chang, Hongliang Zhao, Y. Ge, Ying Liu, Yong Yang (2008)
Dynamic contrast-enhanced MRI of benign prostatic hyperplasia and prostatic carcinoma: correlation with angiogenesis.Clinical radiology, 63 2
-
M. Kattan (2002)
Statistical prediction models, artificial neural networks, and the sophism "I am a patient, not a statistic".Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 20 4
-
W. Pope, Hyun Kim, J. Huo, J. Alger, Matthew Brown, D. Gjertson, Victor Sai, J. Young, L. Tekchandani, T. Cloughesy, P. Mischel, A. Lai, P. Nghiemphu, S. Rahmanuddin, J. Goldin (2009)
Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.Radiology, 252 1
-
M. Quentin, G. Pentang, L. Schimmöller, O. Kott, A. Müller-Lutz, D. Blondin, C. Arsov, A. Hiester, R. Rabenalt, H. Wittsack (2014)
Feasibility of diffusional kurtosis tensor imaging in prostate MRI for the assessment of prostate cancer: preliminary results.Magnetic resonance imaging, 32 7
-
S. Kyriazi, D. Collins, C. Messiou, K. Pennert, R. Davidson, S. Giles, S. Kaye, N. deSouza (2011)
Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients.Radiology, 261 1
-
H. Shinmoto, C. Tamura, Shigeyoshi Soga, E. Shiomi, Nobuyuki Yoshihara, T. Kaji, R. Mulkern (2012)
An intravoxel incoherent motion diffusion-weighted imaging study of prostate cancer.AJR. American journal of roentgenology, 199 4
-
B. Turkbey, V. Shah, Y. Pang, M. Bernardo, Sheng Xu, J. Kruecker, J. Locklin, A. Baccala, A. Rastinehad, M. Merino, J. Shih, B. Wood, P. Pinto, P. Choyke (2011)
Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?Radiology, 258 2
-
N. deSouza, S. Riches, N. Vanas, V. Morgan, S. Ashley, C. Fisher, G. Payne, Chris Parker (2008)
Diffusion-weighted magnetic resonance imaging: a potential non-invasive marker of tumour aggressiveness in localized prostate cancer.Clinical radiology, 63 7
-
A. D'Amico, R. Whittington, S. Malkowicz, D. Schultz, Kenneth Blank, Gregory Broderick, John Tomaszewski, Andrew Renshaw, Irving Kaplan, C. Beard, A. Wein (2000)
Biochemical Outcome After Radical Prostatectomy , External Beam Radiation Therapy , or Interstitial Radiation Therapy for Clinically Localized Prostate Cancer -
F. Kiessling, M. Lichy, R. Grobholz, M. Heilmann, N. Farhan, M. Michel, L. Trojan, J. Ederle, U. Abel, H. Kauczor, W. Semmler, S. Delorme (2004)
Simple models improve the discrimination of prostate cancers from the peripheral gland by T1-weighted dynamic MRIEuropean Radiology, 14
-
E. DeLong, D. DeLong, D. Clarke‐Pearson (1988)
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.Biometrics, 44 3
-
Yahui Peng, Yulei Jiang, Cheng Yang, J. Brown, T. Antic, I. Sethi, C. Schmid-Tannwald, M. Giger, S. Eggener, A. Oto (2013)
Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study.Radiology, 267 3
-
S. Park, C. Kim, B. Park, H. Lee, Kyung Lee (2011)
Prediction of biochemical recurrence following radical prostatectomy in men with prostate cancer by diffusion-weighted magnetic resonance imaging: initial resultsEuropean Radiology, 21
-
B. Ruzsics, P. Suranyi, P. Kiss, B. Brott, A. Elgavish, T. Símor, G. Elgavish (2008)
Head‐to‐head comparison between delayed enhancement and percent infarct mapping for assessment of myocardial infarct size in a canine modelJournal of Magnetic Resonance Imaging, 28
-
Yusuhn Kang, S. Choi, Young-Jae Kim, K. Kim, C. Sohn, Ji-hoon Kim, T. Yun, K. Chang (2011)
Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.Radiology, 261 3
-
A. Hsing, A. Chokkalingam (2006)
Prostate cancer epidemiology.Frontiers in bioscience : a journal and virtual library, 11
-
V. Poulakis, U. Witzsch, R. Vries, V. Emmerlich, M. Meves, H. Altmannsberger, E. Becht (2004)
Preoperative neural network using combined magnetic resonance imaging variables, prostate specific antigen, and Gleason score to predict prostate cancer recurrence after radical prostatectomy.European urology, 46 5
-
J. Barentsz, J. Richenberg, R. Clements, P. Choyke, S. Verma, G. Villeirs, O. Rouvière, V. Løgager, J. Fütterer (2012)
ESUR prostate MR guidelines 2012European Radiology, 22
-
G. Fournier, A. Valéri, P. Mangin, O. Cussenot (2004)
Cancer de la prostate. Épidémiologie. Facteurs de risques. AnatomopathologieAnnales D Urologie, 38
-
A. Rosenkrantz, B. Niver, E. Fitzgerald, J. Babb, H. Chandarana, J. Melamed (2010)
Utility of the apparent diffusion coefficient for distinguishing clear cell renal cell carcinoma of low and high nuclear grade.AJR. American journal of roentgenology, 195 5
-
M. Kattan, D. Leung, M. Brennan (2002)
Postoperative nomogram for 12-year sarcoma-specific death.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 20 3
-
D. Bihan (2008)
Intravoxel incoherent motion perfusion MR imaging: a wake-up call.Radiology, 249 3
-
S. Jung, O. Donati, H. Vargas, D. Goldman, H. Hricak, O. Akin (2013)
Transition zone prostate cancer: incremental value of diffusion-weighted endorectal MR imaging in tumor detection and assessment of aggressiveness.Radiology, 269 2
-
S. Namiki, S. Saito, S. Ishidoya, T. Tochigi, N. Ioritani, K. Yoshimura, A. Terai, Y. Arai (2005)
Adverse effect of radical prostatectomy on nocturia and voiding frequency symptoms.Urology, 66 1
-
M. Cooperberg, D. Pasta, E. Elkin, M. Litwin, D. Latini, Janeen Chane, P. Carroll (2005)
The University of California, San Francisco Cancer of the Prostate Risk Assessment score: a straightforward and reliable preoperative predictor of disease recurrence after radical prostatectomy.The Journal of urology, 173 6
-
E. Sigmund, P. Vivier, Dabang Sui, N. Lamparello, K. Tantillo, A. Mikheev, H. Rusinek, J. Babb, P. Storey, V. Lee, H. Chandarana (2012)
Intravoxel incoherent motion and diffusion-tensor imaging in renal tissue under hydration and furosemide flow challenges.Radiology, 263 3
-
M. Klauss, A. Lemke, K. Grünberg, D. Simon, T. Re, M. Wente, F. Laun, H. Kauczor, S. Delorme, L. Grenacher, B. Stieltjes (2011)
Intravoxel Incoherent Motion MRI for the Differentiation Between Mass Forming Chronic Pancreatitis and Pancreatic CarcinomaInvestigative Radiology, 46
-
D. Tozer, H. Jäger, N. Danchaivijitr, C. Benton, P. Tofts, J. Rees, A. Waldman (2007)
Apparent diffusion coefficient histograms may predict low‐grade glioma subtypeNMR in Biomedicine, 20
-
D. Bihan, E. Breton, D. Lallemand, Aubin Ml, Jean-Louis Vignaud, M. Laval-jeantet (1988)
Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.Radiology, 168 2
-
G. Fournier, A. Valéri, P. Mangin, O. Cussenot (2004)
[Prostate cancer. Epidemiology. Risk factors. Pathology].Annales d'urologie, 38 5
-
T. Hambrock, D. Somford, H. Huisman, I. Oort, J. Witjes, C. Kaa, T. Scheenen, J. Barentsz (2011)
Relationship between apparent diffusion coefficients at 3.0-T MR imaging and Gleason grade in peripheral zone prostate cancer.Radiology, 259 2
-
A. Stephenson, P. Scardino, J. Eastham, F. Bianco, Z. Dotan, P. Fearn, M. Kattan (2006)
Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy.Journal of the National Cancer Institute, 98 10
-
H. Schlemmer, J. Merkle, R. Grobholz, T. Jaeger, M. Michel, A. Werner, J. Rabe, G. Kaick (2004)
Can pre-operative contrast-enhanced dynamic MR imaging for prostate cancer predict microvessel density in prostatectomy specimens?European Radiology, 14
- Publisher
- Springer Journals
- Copyright
- Copyright © 2014 by European Society of Radiology
- Subject
- Medicine & Public Health; Imaging / Radiology; Diagnostic Radiology; Interventional Radiology; Neuroradiology; Ultrasound; Internal Medicine
- ISSN
- 0938-7994
- eISSN
- 1432-1084
- DOI
- 10.1007/s00330-014-3511-4
- pmid
- 25430007
- Publisher site
- See Article on Publisher Site
Abstract
It is feasible to stratify the pathological grade of PCa by IVIM with histogram metrics. D performed better in distinguishing LG from HG tumour than conventional ADCs. Key Points • GS had relatively higher correlation with tumour D than ADCs . • Difference of histogram D among two - grade tumours was statistically significant . • D yielded better individual features in demonstrating tumour grade than ADC . • D * and f failed to determine tumour grade of PCa .
Journal
European Radiology – Springer Journals
Published: Nov 28, 2014