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Multiparametric MRI

Congyu Liao, Kang Wang, Xiaozhi Cao, Yueping Li, Dengchang Wu, Huihui Ye, Qiuping Ding, Hongjian He, Jianhui Zhong
Purpose To improve diagnosis of hippocampal sclerosis (HS) in patients with mesial temporal lobe epilepsy (MTLE) by using MR fingerprinting and compare with visual assessment of T1- and T2-weighted MR images. Materials and Methods For this prospective study performed between April and November 2016, T1 and T2 maps were obtained and tissue segmentation performed in consecutive patients with drug-resistant MTLE with unilateral or bilateral HS. T1 and T2 maps were compared between 33 patients with MTLE (23 women and 10 men; mean age, 32...
June 19, 2018: Radiology
Anna M Hoy, Natasha McDonald, Ross J Lennen, Matteo Milanesi, Amy H Herlihy, Timothy J Kendall, William Mungall, Michael Gyngell, Rajarshi Banerjee, Robert L Janiczek, Philip S Murphy, Maurits A Jansen, Jonathan A Fallowfield
Non-invasive quantitation of liver disease using multiparametric MRI could refine clinical care pathways, trial design and preclinical drug development. The aim of the study was to evaluate the use of multiparametric MRI in experimental models of liver disease. Liver injury was induced in rats using 4 or 12 weeks carbon tetrachloride (CCl4 ) intoxication and 4 or 8 weeks methionine and choline deficient (MCD) diet. Liver MRI was performed using a 7.0 Tesla small animal scanner at baseline and specified timepoints after liver injury...
June 18, 2018: Biology Open
Anwar R Padhani, Jeffrey Weinreb, Andrew B Rosenkrantsz, Geert Villeirs, Baris Turkbey, Jelle Barentsz
CONTEXT: The Prostate Imaging-Reporting and Data System (PI-RADS) v2 analysis system for multiparametric magnetic resonance imaging (mpMRI) detection of prostate cancer (PCa) is based on PI-RADS v1, accumulated scientific evidence, and expert consensus opinion. OBJECTIVE: To summarize the accuracy, strengths and weaknesses of PI-RADS v2, discuss pathway implications of its use and outline opportunities for improvements and future developments. EVIDENCE ACQUISITION: For this consensus expert opinion from the PI-RADS steering committee, clinical studies, systematic reviews, and professional guidelines for mpMRI PCa detection were evaluated...
June 13, 2018: European Urology
Sean D McGarry, Sarah L Hurrell, Kenneth A Iczkowski, William Hall, Amy L Kaczmarowski, Anjishnu Banerjee, Tucker Keuter, Kenneth Jacobsohn, John D Bukowy, Marja T Nevalainen, Mark D Hohenwalter, William A See, Peter S LaViolette
PURPOSE: This study aims to combine multiparametric magnetic resonance imaging (MRI) and digitized pathology with machine learning to generate predictive maps of histologic features for prostate cancer localization. METHODS AND MATERIALS: Thirty-nine patients underwent MRI prior to prostatectomy. After surgery, tissue was sliced according to MRI orientation using patient-specific 3-dimensionally printed slicing jigs. Whole-mount sections were annotated by our pathologist and digitally contoured to differentiate the lumen and epithelium...
April 24, 2018: International Journal of Radiation Oncology, Biology, Physics
Radka Stoyanova, Felix Chinea, Deukwoo Kwon, Isildinha M Reis, Yohann Tschudi, Nestor A Parra, Adrian L Breto, Kyle R Padgett, Alan Dal Pra, Matthew C Abramowitz, Oleksandr N Kryvenko, Sanoj Punnen, Alan Pollack
PURPOSE: To develop a prostate tumor habitat risk scoring (HRS) system based on multiparametric MRI (mpMRI) referenced to prostatectomy Gleason Score (GS) for automatic delineation of Gross Tumor Volumes (GTVs). A workflow for integration of HRS into radiotherapy (RT) boost volume dose escalation was developed in the framework of a Phase II randomized clinical trial (BLaStM). MATERIALS AND METHODS: An automated quantitative mpMRI based 10 point pixel by pixel method was optimized to prostatectomy GSs and volumes using referenced Dynamic Contrast Enhanced and Apparent Diffusion Coefficient sequences...
June 13, 2018: International Journal of Radiation Oncology, Biology, Physics
Natasha McDonald, Peter J Eddowes, James Hodson, Scott I K Semple, Nigel P Davies, Catherine J Kelly, Stella Kin, Miranda Phillips, Amy H Herlihy, Timothy J Kendall, Rachel M Brown, Desley A H Neil, Stefan G Hübscher, Gideon M Hirschfield, Jonathan A Fallowfield
LiverMultiScan is an emerging diagnostic tool using multiparametric MRI to quantify liver disease. In a two-centre prospective validation study, 161 consecutive adult patients who had clinically-indicated liver biopsies underwent contemporaneous non-contrast multiparametric MRI at 3.0 tesla (proton density fat fraction (PDFF), T1 and T2* mapping), transient elastography (TE) and Enhanced Liver Fibrosis (ELF) test. Non-invasive liver tests were correlated with gold standard histothological measures. Reproducibility of LiverMultiScan was investigated in 22 healthy volunteers...
June 15, 2018: Scientific Reports
Nicholas P Meermeier, Kevin R Turner, Bryan R Foster, Csanád Várallyay, Jen-Jane Liu, Fergus V Coakley
PURPOSE: To investigate the concordance between dominant intraprostatic cancer seen on endorectal multiparametric MRI and confirmed by MRI-targeted biopsy with histopathological findings at radical prostatectomy, since existing literature has emphasized the miss rather than the concordance rate of MRI. MATERIALS AND METHODS: We retrospectively identified 20 patients who underwent radical prostatectomy after a dominant intraprostatic cancer focus was identified at endorectal multiparametric MRI and confirmed by MRI-targeted biopsy...
June 9, 2018: Clinical Imaging
F Ziayee, A Müller-Lutz, J Gross, M Quentin, T Ullrich, P Heusch, C Arsov, R Rabenalt, P Albers, G Antoch, H J Wittsack, L Schimmöller
PURPOSE: Reproducibility of quantitative perfusion analysis of DCE requires a standardized AIF acquisition. However, there are many different approaches for AIF assessment so that the absolute values of perfusion parameters may vary depending on the used method. This study analyzes the influence of the method of AIF determination on quantitative DCE-MRI. METHODS: In this retrospective, single-center, cohort study three different methods of AIF determination in 50 consecutive patients with multiparametric MRI of the prostate were conducted...
June 11, 2018: Magnetic Resonance Imaging
Aaron A Laviana, David F Penson
No abstract text is available yet for this article.
July 2018: BJU International
Xiang-Ke Niu, Xue-Hui Chen, Zhi-Fan Chen, Lin Chen, Jun Li, Tao Peng
OBJECTIVE: The purpose of this study was to perform a systematic review and meta-analysis to estimate the diagnostic performance of biparametric MRI (bpMRI) for detection of prostate cancer (PCa). MATERIALS AND METHODS: Two independent reviewers performed a systematic review of the literature published from January 2000 to July 2017 by using predefined search terms. The standard of pathologic reference was established at prostatectomy or prostate biopsy. The numbers of true- and false-positive and true- and false-negative results were extracted...
June 12, 2018: AJR. American Journal of Roentgenology
Remy Klaassen, Oliver J Gurney-Champion, Marc R W Engelbrecht, Jaap Stoker, Johanna W Wilmink, Marc G Besselink, Arjan Bel, Geertjan van Tienhoven, Hanneke W M van Laarhoven, Aart J Nederveen
PURPOSE: To compare 6 diffusion-weighted imaging (DWI) MRI models for response evaluation in patients with pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS: DWI images were acquired at 3T for b = 0-600 s/mm2 in fourteen patients with advanced PDAC during 2 separate pretreatment sessions and 9 patients with (borderline) resectable PDAC pre and post neoadjuvant chemoradiation. Data was fitted with a mono-exponential (ADC), double mono-exponential to b = 0 and 100 s/mm2 (ADCfast ), and b = 100 and 600 s/mm2 (ADCslow ), IVIM model with D* free (D, f, D*) and fixed (D, f), tri-exponent (D, f1 , f2 ), and stretched exponent model (DDC, α)...
May 4, 2018: International Journal of Radiation Oncology, Biology, Physics
David A Woodrum, Krzysztof R Gorny, Lance A Mynderse
Prostate cancer is the most commonly diagnosed noncutaneous cancer and second leading cause of death in men. Many patients with clinically organ-confined prostate cancer undergo definitive treatment of the whole gland, including radical prostatectomy, radiation therapy, and cryosurgery. Active surveillance is a growing alternative option for patients with documented low-volume and low-grade prostate cancer. However, many patients are wanting a less morbid focal treatment alternative. With recent advances in software and hardware of magnetic resonance imaging (MRI), multiparametric MRI of the prostate has been shown to improve the accuracy in detecting and characterizing clinically significant prostate cancer...
June 2018: Topics in Magnetic Resonance Imaging: TMRI
Tan B Nguyen, Alexander Ushinsky, Albert Yang, Michael Nguyentat, Sara Fardin, Edward Uchio, Chandana Lall, Thomas Lee, Roozbeh Houshyar
OBJECTIVE: The aim of this study is to evaluate the utility of quantitative apparent diffusion coefficient (ADC) measurements and normalized ADC ratios in multiparametric MRI for the diagnosis of clinically significant peripheral zone (PZ) prostate cancer particularly among equivocally suspicious prostate lesions. METHODS: A retrospective analysis of 95 patients with PZ lesions by PI-RADSv2 criteria, and who underwent subsequent MRI-US fusion biopsy, was approved by an institutional review board...
June 5, 2018: British Journal of Radiology
Bettina Beuthien-Baumann, Stefan A Koerber
The integration of data from positron-emission-tomography, combined with computed tomography as PET/CT or combined with magnet resonance imaging as PET/MRI, into radiation treatment planning of prostate cancer is gaining higher impact with the development of more sensitive and specific radioligands. The classic PET-tracer for prostate cancer imaging are [11C]choline and [11C]acetate, which are currently outperformed by ligands binding to the prostate-specific- membrane-antigen (PSMA). [68Ga]PSMA-11, which is the most frequently applied tracer, has shown to detect lymph node metastases, local recurrences, distant metastases and intraprostatic foci with high sensitivity, even at relatively low PSA levels...
June 4, 2018: Quarterly Journal of Nuclear Medicine and Molecular Imaging
Michael Perkuhn, Pantelis Stavrinou, Frank Thiele, Georgy Shakirin, Manoj Mohan, Dionysios Garmpis, Christoph Kabbasch, Jan Borggrefe
OBJECTIVES: The aims of this study were, first, to evaluate a deep learning-based, automatic glioblastoma (GB) tumor segmentation algorithm on clinical routine data from multiple centers and compare the results to a ground truth, manual expert segmentation, and second, to evaluate the quality of the segmentation results across heterogeneous acquisition protocols of routinely acquired clinical magnetic resonance imaging (MRI) examinations from multiple centers. MATERIALS AND METHODS: The data consisted of preoperative MRI scans (T1, T2, FLAIR, and contrast-enhanced [CE] T1) of 64 patients with an initial diagnosis of primary GB, which were acquired in 15 institutions with varying protocols...
May 31, 2018: Investigative Radiology
J Thüring, K Linka, M Itskov, M Knobe, L Hitpaß, C Kuhl, D Truhn, S Nebelung
Quantitative magnetic resonance imaging (qMRI) is a promising approach to detect early cartilage degeneration. However, there is no consensus on which cartilage component contributes to the tissue's qMRI signal properties. T 1, T 1 ρ , and T 2⁎ maps of cartilage samples ( n = 8) were generated on a clinical 3.0-T MRI system. All samples underwent histological assessment to ensure structural integrity. For cross-referencing, a discretized numerical model capturing distinct compositional and structural tissue properties, that is, fluid fraction (FF), proteoglycan (PG) and collagen (CO) content and collagen fiber orientation (CFO), was implemented...
2018: BioMed Research International
A Raichi, G Marcq, J-C Fantoni, P Puech, A Villers, A Ouzzane
AIM: To evaluate the contribution of multiparametric MRI (MRI) and targeted biopsies (TB) in the selection and follow-up of patients under active surveillance (AS). METHODS: A single-center, retrospective cohort study on 131 patients in AS, with following criteria:≤cT2 stage, PSA≤15ng/mL, Gleason score≤6,≤3 positive biopsies and maximum tumor length≤5mm. Patients' selection and follow-up was performed by the combination of systemic biopsies (SB) and mpMRI±TB...
May 31, 2018: Progrès en Urologie
T P Hellebust
Imaging has probably been the most important driving force for the development of brachytherapy treatments the last 20 years. Due to implementation of three-dimensional imaging, brachytherapy is nowadays a highly accurate and reliable treatment option for many cancer patients. To be able to optimize the dose distribution in brachytherapy the anatomy and the applicator(s) or sources should be correctly localised in the images. For computed tomography (CT) the later criteria is easily fulfilled for most brachytherapy sites...
May 29, 2018: Cancer Radiothérapie: Journal de la Société Française de Radiothérapie Oncologique
Kareem N Rayn, Jonathan B Bloom, Samuel A Gold, Graham R Hale, Joseph A Baiocco, Sherif Mehralivand, Marcin Czarniecki, Vikram K Sabarwal, Vladimir Valera, Bradford J Wood, Maria J Merino, Peter Choyke, Baris Turkbey, Peter A Pinto
PURPOSE: We examined the additional value of preoperative prostate multiparametric magnetic resonance imaging (mpMRI) and transrectal ultrasound/mpMRI fusion-guided targeted biopsy (Tbx) when used in combination with clinical nomograms in predicting adverse pathology at radical prostatectomy. MATERIALS AND METHODS: We identified all patients who underwent 3-Tesla mpMRI prior to fusion biopsy and radical prostatectomy (RP). The Partin and Memorial Sloan Kettering Cancer Center (MSKCC) pre-radical prostatectomy nomograms were used to estimate the probability of organ confined disease (OCD), extraprostatic extension (EPE), seminal vesicle invasion (SVI) and lymph node involvement (LNI) using both transrectal ultrasound-guided systematic biopsy (Sbx) and Tbx Gleason scores...
May 28, 2018: Journal of Urology
Nicolai Hübner, Shahrokh Shariat, Mesut Remzi
PURPOSE OF REVIEW: To summarize the highest level evidence that was acquired within the last years, with regard to diagnosis of prostate cancer. With many secondary diagnostic tools becoming available, and not being mentioned in the guidelines, this review is meant to assist clinical decision-making in initial biopsy and rebiopsy settings. RECENT FINDINGS: The PROMIS Trial delivered level 1b evidence about the diagnostic accuracy of prostate multiparametric MRI (mpMRI) as a triage tool for prostate biopsy...
July 2018: Current Opinion in Urology
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