Search results for "multiparametric magnetic resonance imaging"

showing 10 items of 16 documents

A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy

2019

Objective Increased computational power and improved visualization hardware have generated more opportunities for virtual reality (VR) applications in healthcare. In this study, we test the feasibility of a VR-assisted surgical navigation system for robotic-assisted radical prostatectomy. Material and methods The prostate, all magnetic resonance imaging (MRI) visible tumors, and important anatomic structures like the neurovascular bundles, seminal vesicles, bladder, and rectum were contoured on a multiparametric MRI using an in-house segmentation software. Three-dimensional (3-D) VR models were rendered and evaluated in a side room of the operating room. While interacting with the VR platfo…

medicine.medical_specialtymedicine.diagnostic_testComputer scienceProstatectomymedicine.medical_treatmentComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONNavigation systemMagnetic resonance imagingVirtual realityNeurovascular bundleVisualizationNeck of urinary bladdermedicineRadiologyEndourologyMultiparametric Magnetic Resonance ImagingComputingMethodologies_COMPUTERGRAPHICSTürk Üroloji Dergisi/Turkish Journal of Urology
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Predicting Gleason Group Progression for Men on Prostate Cancer Active Surveillance: Role of a Negative Confirmatory Magnetic Resonance Imaging-Ultra…

2018

Active surveillance has gained acceptance as an alternative to definitive therapy in many men with prostate cancer. Confirmatory biopsies to assess the appropriateness of active surveillance are routinely performed and negative biopsies are regarded as a favorable prognostic indicator. We sought to determine the prognostic implications of negative multiparametric magnetic resonance imaging-transrectal ultrasound guided fusion biopsy consisting of extended sextant, systematic biopsy plus multiparametric magnetic resonance imaging guided targeted biopsy of suspicious lesions on magnetic resonance imaging.All patients referred with Gleason Grade Group 1 or 2 prostate cancer based on systematic…

Image-Guided BiopsyMalemedicine.medical_specialtyUrologymedicine.medical_treatment030232 urology & nephrology03 medical and health sciencesProstate cancer0302 clinical medicineBiopsyMedicineHumansProspective StudiesProspective cohort studyWatchful WaitingMultiparametric Magnetic Resonance ImagingUltrasonography InterventionalAgedRetrospective Studiesmedicine.diagnostic_testbusiness.industryProstateProstatic NeoplasmsMagnetic resonance imagingRetrospective cohort studyMiddle Agedmedicine.diseasePrognosisMagnetic Resonance ImagingDisease ProgressionRadiologyNeoplasm GradingbusinessImage-Guided BiopsyWatchful waitingThe Journal of urology
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Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE …

2021

Multiparametric MRI (mpMRI) of the prostate has become the standard of care in prostate cancer evaluation. Recently, deep learning image reconstruction (DLR) methods have been introduced with promising results regarding scan acceleration. Therefore, the aim of this study was to investigate the impact of deep learning image reconstruction (DLR) in a shortened acquisition process of T2-weighted TSE imaging, regarding the image quality and diagnostic confidence, as well as PI-RADS and T2 scoring, as compared to standard T2 TSE imaging. Sixty patients undergoing 3T mpMRI for the evaluation of prostate cancer were prospectively enrolled in this institutional review board-approved study between O…

Cancer Researchdiagnostic imagingImage qualityIterative reconstructionArticleprostatic neoplasms030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstateMedical imagingmedicineRC254-282Multiparametric Magnetic Resonance Imagingbusiness.industryDeep learningNeoplasms. Tumors. Oncology. Including cancer and carcinogensdeep learningmultiparametric magnetic resonance imagingmedicine.diseasemedicine.anatomical_structureOncology030220 oncology & carcinogenesisArtificial intelligenceNuclear medicinebusinessT2 weightedCancers
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VESICAL IMAGING-REPORTING AND DATA SYSTEM – A NEW APPROACH TO BLADDER CANCER STAGING

2022

The aim: To present the assumptions and to show the usefulness of Vesical Imaging-Reporting and Data System (VI-RADS) based on multiparametric magnetic resonance imaging (mpMRI) in the diagnostic pathway management of patients with a bladder cancer. Materials and methods: The review is based on available literature from last 10 years from PubMed database and the Przegląd Urologiczny journal focusing on articles on VI-RADS. Overall, 18 articles were included. Presented magnetic resonance images come from the examinations of the patients who were diagnosed with bladder cancer from 2019 to 2021 at Department of Diagnostic Imaging in University Clinical Hospital in Opole, Poland. Conclusions: T…

Urinary Bladder Neoplasmsreference standardsUrinary BladderData SystemsHumansdiffusion-weighted magnetic resonance imagingProspective StudiesGeneral Medicinemultiparametric magnetic resonance imagingMagnetic Resonance ImagingNeoplasm StagingWiadomości Lekarskie
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Prospective Evaluation of PI-RADS™ Version 2 Using the International Society of Urological Pathology Prostate Cancer Grade Group System

2017

The PI-RADS™ (Prostate Imaging Reporting and Data System), version 2 scoring system, introduced in 2015, is based on expert consensus. In the same time frame ISUP (International Society of Urological Pathology) introduced a new pathological scoring system for prostate cancer. Our goal was to prospectively evaluate the cancer detection rates for each PI-RADS, version 2 category and compare them to ISUP group scores in patients undergoing systematic biopsy and magnetic resonance imaging-transrectal ultrasound fusion guided biopsy.A total of 339 treatment naïve patients prospectively underwent multiparametric magnetic resonance imaging evaluated with PI-RADS, version 2 with subsequent systemat…

Image-Guided BiopsyMalemedicine.medical_specialtyPathologyUrology030232 urology & nephrology030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicinePredictive Value of TestsProstateBiopsymedicineMedical imagingHumansProspective StudiesMultiparametric Magnetic Resonance ImagingAgedUltrasonographymedicine.diagnostic_testbusiness.industryProstatic NeoplasmsMagnetic resonance imagingMiddle Agedmedicine.diseaseMagnetic Resonance ImagingPI-RADSProstate-specific antigenmedicine.anatomical_structureRadiologyNeoplasm GradingbusinessJournal of Urology
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Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparame…

2020

OBJECTIVE. The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial intelligence (AI) detection system with attention mapping compared with multiparametric MRI (mpMRI) interpretation in the detection of prostate cancer. MATERIALS AND METHODS. MRI examinations from five institutions were included in this study and were evaluated by nine readers. In the first round, readers evaluated mpMRI studies using the Prostate Imaging Reporting and Data System version 2. After 4 weeks, images were again presented to readers along with the AI-based detection system output. Readers accepted or rejected lesions within four AI-generated attention map boxes. Additio…

MaleUrologyAdenocarcinomaSensitivity and SpecificityArticle030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancerRandom Allocation0302 clinical medicineLaparoscopicProstateArtificial IntelligenceStatistical significanceMedicineHumansAttentionRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedMultiparametric Magnetic Resonance ImagingAgedRetrospective StudiesObserver VariationProstate cancerbusiness.industryartificial intelligence; laparoscopic; MRI; multiparametric; prostate cancer; radical prostatectomy; robot-assistedSignificant differenceCancerMultiparametric MRIProstatic NeoplasmsGeneral MedicineRobot-assistedMiddle Agedmedicine.diseaseRadical prostatectomymedicine.anatomical_structure030220 oncology & carcinogenesisMapping systemMultiparametricArtificial intelligencebusinessAlgorithmsMriAJR. American journal of roentgenology
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Radiomics and Prostate MRI: Current Role and Future Applications

2021

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions. In this paper we review the role of radiomics applied to prostate mpMRI in detection and localization of prostate cancer, prediction of Gleason score and PI-RADS classification, prediction of extracapsular extension and of biochemical recurrence. We also provide a future perspective of artificial intelligence (machine …

Biochemical recurrencemedicine.medical_specialtyReviewlcsh:Computer applications to medicine. Medical informaticslcsh:QA75.5-76.95030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineRadiomicsProstatelocalmedicineRadiology Nuclear Medicine and imaginglcsh:PhotographyGleason scoreElectrical and Electronic EngineeringMultiparametric Magnetic Resonance ImagingFuture perspectivemedicine.diagnostic_testbusiness.industryMagnetic resonance imaginglcsh:TR1-1050prostate cancerartificial intelligencemultiparametric magnetic resonance imagingneoplasm recurrencemedicine.diseaseComputer Graphics and Computer-Aided Designprostate cancer; artificial intelligence; multiparametric magnetic resonance imaging; Gleason score; neoplasm recurrence; localmedicine.anatomical_structure030220 oncology & carcinogenesislcsh:R858-859.7lcsh:Electronic computers. Computer scienceComputer Vision and Pattern RecognitionRadiologyProstate cancer stagingbusiness
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Use of multiparametric magnetic resonance imaging and fusion-guided biopsies to properly select and follow African-American men on active surveillance

2019

OBJECTIVES To determine the rate of Gleason Grade Group (GGG) upgrading in African-American (AA) men with a prior diagnosis of low-grade prostate cancer (GGG 1 or GGG 2) on 12-core systematic biopsy (SB) after multiparametric magnetic resonance imaging (mpMRI) and fusion biopsy (FB); and whether AA men who continued active surveillance (AS) after mpMRI and FB fared differently than a predominantly Caucasian (non-AA) population. PATIENTS AND METHODS A database of men who had undergone mpMRI and FB was queried to determine rates of upgrading by FB amongst men deemed to be AS candidates based on SB prior to referral. After FB, Kaplan-Meier curves were generated for AA men and non-AA men who th…

medicine.medical_specialtyeducation.field_of_studybusiness.industryUrologyPopulation030232 urology & nephrologyUrologyGleason grademedicine.disease03 medical and health sciencesProstate cancer0302 clinical medicineInterquartile range030220 oncology & carcinogenesisMedicineAfrican american menbusinesseducationSystematic biopsyFusion BiopsyMultiparametric Magnetic Resonance ImagingBJU International
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Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering

2022

Abstract Multiparametric Magnetic Resonance Imaging (MRI) is the most sensitive imaging modality for breast cancer detection and is increasingly playing a key role in lesion characterization. In this context, accurate and reliable quantification of the shape and extent of breast cancer is crucial in clinical research environments. Since conventional lesion delineation procedures are still mostly manual, automated segmentation approaches can improve this time-consuming and operator-dependent task by annotating the regions of interest in a reproducible manner. In this work, a semi-automated and interactive approach based on the spatial Fuzzy C-Means (sFCM) algorithm is proposed, used to segme…

Fuzzy clusteringUnsupervised fuzzy clusteringbusiness.industryComputer scienceBiomedical EngineeringHealth InformaticsPattern recognitionImage processingContext (language use)Image segmentationComputer-assisted lesion detectionMagnetic Resonance ImagingThresholdingConvolutional neural networkBreast cancer; Computer-assisted lesion detection; Magnetic Resonance Imaging; Semi-automated segmentation; Spatial information; Unsupervised fuzzy clusteringBreast cancerSignal ProcessingSemi-automated segmentationSpatial informationSegmentationArtificial intelligencebusinessMultiparametric Magnetic Resonance ImagingBiomedical Signal Processing and Control
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DIAGNOSTIC ACCURACY OF IXIP INDEX AND PROSTATE MRI IN THE DIAGNOSIS OF PROSTATE CANCER: PRELIMINARY RESULTS ON A COMBINED APPROACH

2021

The purpose of this study was to assess whether Immune CompleX Predictive Index (iXip) improves diagnostic accuracy of multiparametric prostate MRI (mpMRI) for clinically significant prostate cancer. This study included 72 patients (mean age: 68±8 years) with suspicion of prostate cancer and available iXip score. mpMRI images were evaluated by two radiologists according to the PI-RADS v2.1. Reference standard was based on fusion biopsy and standard transperineal 12-point biopsy. Diagnostic accuracy of iXip, mpMRI and their combination were calculated. Optimal cutoff of iXip with sensitivity and specificity was identified using the Youden index. Patients with clinically significant prostate …

Prostate cancerMultiparametric Magnetic Resonance ImagingProstate-Specific AntigeniXipSettore MED/36 - Diagnostica Per Immagini E Radioterapia
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