Search results for "multiparametric magnetic resonance imaging"

showing 10 items of 16 documents

Intra‐ and interreader reproducibility of PI‐RADSv2: A multireader study

2018

Background The Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) has been in use since 2015; while interreader reproducibility has been studied, there has been a paucity of studies investigating the intrareader reproducibility of PI-RADSv2. Purpose To evaluate both intra- and interreader reproducibility of PI-RADSv2 in the assessment of intraprostatic lesions using multiparametric magnetic resonance imaging (mpMRI). Study type Retrospective. Population/subjects In all, 102 consecutive biopsy-naive patients who underwent prostate MRI and subsequent MR/transrectal ultrasonography (MR/TRUS)-guided biopsy. Field strength/sequences Prostate mpMRI at 3T using endorectal with phased…

AdultImage-Guided BiopsyMaleIntraclass correlationBiopsyPopulationContrast MediaArticle030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineHumansMedicineRadiology Nuclear Medicine and imagingMultiparametric Magnetic Resonance ImagingStage (cooking)educationMultiparametric Magnetic Resonance ImagingAgedRetrospective StudiesUltrasonographyAged 80 and overObserver VariationReproducibilityeducation.field_of_studymedicine.diagnostic_testbusiness.industryProstateProstatic NeoplasmsReproducibility of ResultsMiddle AgedProstate-Specific AntigenReference StandardsMagnetic Resonance ImagingPI-RADSDiffusion Magnetic Resonance ImagingTransrectal ultrasonographybusinessNuclear medicineAlgorithmsKappaJournal of Magnetic Resonance Imaging
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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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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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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 Performance of Multiparametric Magnetic Resonance Imaging and Fusion Targeted Biopsy to Detect Significant Prostate Cancer

2017

Background/aim Multiparametric magnetic resonance imaging combined with ultrasound-fusion-targeted biopsy of the prostate intends to increase diagnostic precision, which has to be clarified. Patients and methods We performed multiparametric magnetic resonance imaging followed by ultrasound-fusion-guided perineal biopsy in 99 male patients with elevated prostate-specific-antigen and previous negative standard biopsy-procedures. Results In 33/99 patients (33%) no malignancy could be confirmed by histopathology. Low-grade carcinomas (Gleason-Score 6+7a) were found in 42/66 (64%) and high-grade carcinomas (Gleason-Score ≥7b) in 24/66 (36%) men. A high-grade carcinoma corresponded to PI-RADS 4 o…

Image-Guided BiopsyMaleCancer Researchmedicine.medical_specialty030232 urology & nephrologyMalignancySensitivity and Specificity03 medical and health sciencesProstate cancer0302 clinical medicineProstateBiopsymedicineCarcinomaHumansEndoscopic Ultrasound-Guided Fine Needle AspirationMultiparametric Magnetic Resonance ImagingAgedAged 80 and overmedicine.diagnostic_testbusiness.industryProstateProstatic NeoplasmsReproducibility of ResultsMagnetic resonance imagingGeneral MedicineMiddle AgedProstate-Specific Antigenmedicine.diseaseMagnetic Resonance Imagingmedicine.anatomical_structureOncology030220 oncology & carcinogenesisHistopathologyRadiologyNeoplasm GradingbusinessAnticancer Research
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Added Value of Multiparametric Magnetic Resonance Imaging to Clinical Nomograms for Predicting Adverse Pathology in Prostate Cancer

2018

PURPOSE: We examined the additional value of preoperative prostate multiparametric magnetic resonance imaging and transrectal ultrasound/multiparametric magnetic resonance imaging fusion guided targeted biopsy when performed in combination with clinical nomograms to predict adverse pathology at radical prostatectomy. MATERIALS AND METHODS: We identified all patients who underwent 3 Tesla multiparametric magnetic resonance imaging prior to fusion biopsy and radical prostatectomy. The Partin and the MSKCC (Memorial Sloan Kettering Cancer Center) preradical prostatectomy nomograms were applied to estimate the probability of organ confined disease, extraprostatic extension, seminal vesicle inva…

Image-Guided BiopsyMalePathologymedicine.medical_specialtyUrologymedicine.medical_treatment030232 urology & nephrologyMagnetic Resonance Imaging InterventionalRisk AssessmentArticle03 medical and health sciencesProstate cancer0302 clinical medicinePredictive Value of TestsProstatePreoperative CareImage Processing Computer-AssistedmedicineHumansProspective StudiesUltrasonography InterventionalMultiparametric Magnetic Resonance ImagingAgedRetrospective Studiesbusiness.industryProstatectomyProstateProstatic NeoplasmsMiddle AgedNomogrammedicine.diseaseMagnetic Resonance ImagingPI-RADSProstate-specific antigenNomogramsmedicine.anatomical_structure030220 oncology & carcinogenesisFeasibility StudiesBiopsy Large-Core NeedleNeoplasm GradingbusinessImage-Guided Biopsyhuman activities
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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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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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Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Imag…

2021

The emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on the diagnosis of prostate cancers (PCa), which is the most prevalent malignancy in males in the western world, enabling a better selection of patients for confirmation biopsy. However, analyzing these images is complex even for experts, hence opening an opportunity for computer-aided diagnosis systems to seize. This paper proposes a fully automatic system based on Deep Learning that takes a prostate mpMRI from a PCa-suspect patient and, by leveraging the Retina U-Net detection framework, locates PCa lesions, segments them, and predicts their most likely Gleason grade group (GGG). It uses 490 mp…

MaleFOS: Computer and information sciencesMultidisciplinaryDatabases FactualComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionProstateProstatic NeoplasmsFOS: Physical sciencesPhysics - Medical PhysicsDeep LearningHumansMedical Physics (physics.med-ph)Multiparametric Magnetic Resonance Imaging
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Computer-aided diagnosis system for characterizing ISUP grade≥2 prostate cancers at multiparametric MRI: A cross-vendor evaluation.

2019

International audience; Purpose: To assess the performance of a computer-aided diagnosis (CADx) system trained at characterizing International Society of Urological Pathology (ISUP) grade >= 2 peripheral zone (PZ) prostate cancers on multiparametric magnetic resonance imaging (mpMRI) examinations from a different institution and acquired on different scanners than those used for the training database.Patients and methods: Preoperative mpMRIs of 74 men (median age, 65.7 years) treated by prostatectomy between 2014 and 2017 were retrospectively selected. One radiologist outlined suspicious lesions and scored them using Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2); their CA…

MaleStandardsmedicine.medical_specialtyComputer-assisted diagnosis[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imagingmedicine.medical_treatmentDiagnostic accuracy[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicineSensitivity and Specificity[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineProstateDiagnosisValidationImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingMagnetic resonance imaging (MRI)Diagnosis Computer-AssistedMultiparametric Magnetic Resonance ImagingAgedRetrospective StudiesProstatectomyPeripheral zoneRadiological and Ultrasound TechnologyReceiver operating characteristicbusiness.industryProstatectomyPI-RADS V2Multiparametric MRIProstatic NeoplasmsGeneral MedicineConfidence interval3. Good health[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imagingmedicine.anatomical_structureComputer-aided diagnosis030220 oncology & carcinogenesisCohortImagesRadiologybusinessDiagnostic and interventional imaging
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