Search results for "030218 nuclear medicine & medical imaging"

showing 10 items of 1054 documents

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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AAZTA5-squaramide ester competing with DOTA-, DTPA- and CHX-A″-DTPA-analogues: Promising tool for 177Lu-labeling of monoclonal antibodies under mild …

2021

Abstract Background Combining the advantages of both cyclic and acyclic chelator systems, AAZTA (1,4-bis(carboxymethyl)-6-[bis(carboxymethyl)]amino-6-methylperhydro-1,4-diazepine) is well suited for complexation of various diagnostic and therapeutic radiometals such as gallium-68, scandium-44 and lutetium-177 under mild conditions. Due to its specificity for primary amines and pH dependent binding properties, squaric acid (SA) represents an excellent tool for selective coupling of the appropriate chelator to different target vectors. Therefore, the aim of this study was to evaluate radiolabeling properties of the novel bifunctional AAZTA5-SA being coupled to a model antibody (bevacizumab) i…

Cancer Researchmedicine.drug_classRadiochemistryKineticsSize-exclusion chromatographySquaramideSquaric acidMonoclonal antibody030218 nuclear medicine & medical imaging03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistry030220 oncology & carcinogenesismedicineMolecular MedicineDOTARadiology Nuclear Medicine and imagingChelationBifunctionalNuclear Medicine and Biology
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Tumor response assessment by Choi criteria in localized high-risk soft tissue sarcoma (STS) treated with chemotherapy (CT): Update at 10-year follow-…

2016

11044Background: We already reported (Cancer 2012;118:5857) on better correlation of Choi criteria (Choi) than RECIST with the outcome of pts affected by high-risk STS entering a multicentric Itali...

Cancer Researchmedicine.medical_specialtyChemotherapybusiness.industry10 year follow upSoft tissue sarcomamedicine.medical_treatmentCancerExploratory analysismedicine.diseaseTumor response030218 nuclear medicine & medical imagingSurgery03 medical and health sciences0302 clinical medicineOncologyChoi Criteria030220 oncology & carcinogenesismedicineRadiologybusinessJournal of Clinical Oncology
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SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images.

2021

High computational cost associated with digital pathology image analysis approaches is a challenge towards their translation in routine pathology clinic. Here, we propose a computationally efficient framework (SuperHistopath), designed to map global context features reflecting the rich tumor morphological heterogeneity. SuperHistopath efficiently combines i) a segmentation approach using the linear iterative clustering (SLIC) superpixels algorithm applied directly on the whole-slide images at low resolution (5x magnification) to adhere to region boundaries and form homogeneous spatial units at tissue-level, followed by ii) classification of superpixels using a convolution neural network (CN…

Cancer Researchmedicine.medical_specialtyComputer scienceMagnificationContext (language use)lcsh:RC254-282Convolutional neural network030218 nuclear medicine & medical imaging03 medical and health sciencesneuroblastoma0302 clinical medicinebreast cancermedicinemelanomatumor region classificationSegmentationCluster analysisOriginal Researchbusiness.industryDeep learningDigital pathologydeep learningPattern recognitionlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmachine learningOncology030220 oncology & carcinogenesisHistopathologyArtificial intelligencebusinessdigital pathologycomputational pathologyFrontiers in oncology
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Whole-body magnetic resonance imaging in the diagnosis and follow-up of multicentric infantile myofibromatosis: A case report

2017

Myofibromatosis is an uncommon disorder of infancy, characterized by proliferation of myofibroblasts in solitary or multiple nodules. The clinical characteristics depend on the involved sites: Myofibromatosis may develop as a musculoskeletal form, with non-painful swellings and eventual mass effect symptoms, or as a generalized form with visceral involvement and organ failure. Prognosis and therapy vary between the abovementioned patterns. When there is no visceral involvement, the tumors may regress spontaneously; however, the visceral form may represent a lifethreatening condition with poor outcome and it requires aggressive management. Imaging assessment of disease spread is mandatory to…

Cancer Researchmedicine.medical_specialtyPathologywhole-body magnetic resonance imagingSedationmyofibromatosiDiseaseMyofibromatosis030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineinfantile; multicentric; myofibromatosis; pediatric; whole-body magnetic resonance imagingmedicineinfantilemedicine.diagnostic_testbusiness.industryCancerMagnetic resonance imagingArticlesmedicine.diseasemulticentricYoung agepediatricOncology030220 oncology & carcinogenesisMulticentric infantile myofibromatosisRadiologymedicine.symptomWhole bodybusiness
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Theragnostic Use of Radiolabelled Dota-Peptides in Meningioma: From Clinical Demand to Future Applications.

2019

Meningiomas account for approximately 30% of all new diagnoses of intracranial masses. The 2016 World Health Organization’s (WHO) classification currently represents the clinical standard for meningioma’s grading and prognostic stratification. However, watchful waiting is frequently the chosen treatment option, although this means the absence of a certain histological diagnosis. Consequently, MRI (or less frequently CT) brain imaging currently represents the unique available tool to define diagnosis, grading, and treatment planning in many cases. Nonetheless, these neuroimaging modalities show some limitations, particularly in the evaluation of skull base lesions. The emerging evidence supp…

Cancer Researchmedicine.medical_specialtypositron emission tomographymedicine.medical_treatmentReviewlcsh:RC254-282meningioma030218 nuclear medicine & medical imagingMeningioma03 medical and health sciences0302 clinical medicineNeuroimagingFunctional neuroimagingmedicineotorhinolaryngologic diseasesMedical diagnosisRadiation treatment planningGrading (tumors)neoplasmsMeningioma; Neuroimaging; Positron emission tomography; Radionuclide therapy; Somatostatin receptorneuroimagingbusiness.industryradionuclide therapylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasesomatostatin receptorOncologymeningioma; somatostatin receptor; neuroimaging; positron emission tomography; radionuclide therapy030220 oncology & carcinogenesisRadionuclide therapyRadiologybusinessWatchful waitingCancers
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GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation

2018

In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac center-of-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results).…

Cardiac anatomybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONNovelty030204 cardiovascular system & hematologyGridConvolutional neural networkAccurate segmentation030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineFully automaticPreprocessorSegmentationComputer visionArtificial intelligencebusiness
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Modified electrocardiograph-triggered black-blood turbo spin-echo technique to improve T1-weighting in contrast-enhanced MRI of atherosclerotic carot…

2008

Purpose To assess the efficacy of a modified electrocardiograph (EKG)-triggered black-blood T1W (T1W) spin-echo sequence in improving contrast on post-gadolinium high-resolution carotid plaque imaging by implementing heart-rate–independent contrast preparation. Materials and Methods We used a standard EKG-triggered double inversion-recovery (DIR) turbo spin-echo (TSE) sequence modified with the addition of an extra saturation (90°) radio frequency (RF) pulse placed immediately after the DIR module, shortening the repetition time to a fixed value of 400 msec. A total of 10 patients with atherosclerotic disease were included in the study. Postinjection intraplaque contrast measurements were p…

Carotid Artery DiseasesMaleCONTRAST ENHANCED MRIImage qualityCarotid arteriesmedia_common.quotation_subjectBlack blood[INFO.INFO-IM] Computer Science [cs]/Medical ImagingContrast Media030218 nuclear medicine & medical imagingElectrocardiography03 medical and health sciencesMeglumine0302 clinical medicineImage Interpretation Computer-AssistedOrganometallic Compounds[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansContrast (vision)MedicineRadiology Nuclear Medicine and imagingAgedmedia_commonPulse (signal processing)business.industryMiddle AgedFast spin echoMagnetic Resonance ImagingWeightingFemaleArtifactsbusinessNuclear medicine030217 neurology & neurosurgery
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Radiation-induced vascular changes in the intracranial irradiation field in medulloblastoma survivors: An MRI study

2019

While survival times after treatment of medulloblastoma are increasing, little is known about radiochemotherapy (RCT)-induced cerebrovascular changes. High resolution vessel wall imaging (VWI) sequences are an emerging tool for the evaluation of cerebrovascular diseases. We performed VWI in medulloblastoma long-term survivors to screen for late sequelae of RCT.Twenty-two pediatric medulloblastoma survivors (mean age 25.8 years (10-53 years); 16.3 years (mean) post primary RCT (range 1-45 years)) underwent 2D VWI-MRI. Vessel wall thickening, contrast enhancement and luminal narrowing were analyzed. The findings were correlated with the patients' radiation protocols.Vessel wall changes were o…

Carotid Artery DiseasesMalemedicine.medical_specialtyAdolescentHigh resolutionRadiation induced030218 nuclear medicine & medical imaginglaw.invention03 medical and health sciences0302 clinical medicineCancer SurvivorsRandomized controlled triallawmedicine.arteryHumansMedicineRadiology Nuclear Medicine and imagingCerebellar NeoplasmsChildRadiation InjuriesMedulloblastomabusiness.industryMean ageHematologyCerebral ArteriesIntracranial Arteriosclerosismedicine.diseaseMagnetic Resonance ImagingOncologyCerebrovascular CirculationChild Preschool030220 oncology & carcinogenesisFemaleRadiologyThickeningCranial IrradiationInternal carotid arterybusinessCarotid Artery InternalMagnetic Resonance AngiographyAfter treatmentMedulloblastomaRadiotherapy and Oncology
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An assessment of the hemorheological profile in patients with subclinical carotid atherosclerosis divided in relation to the number of cardiovascular…

2021

We present a cohort of 100 subjects [43 men and 57 women; median age 66.00(25)] who were tested using carotid ultrasound to identify subclinical carotid atherosclerosis (SCA). We have evaluated the behaviour of whole blood viscosity (WBV) at high (450 s–1) and low (0.51 s–1) shear rates, plasma viscosity (450–1), hematocrit and mean erythrocyte aggregation. When compared to normal control subjects, using the Mann-Whitney test, we observed in SCA patients a significant increase in WBV only. The results were substantial after having divided the SCA subjects according to the cardiovascular risk factors (CRFs) and the degree of insulin resistance; the research was performed using two surrogate …

Carotid Artery DiseasesMalemedicine.medical_specialtyPhysiologyCardiovascular risk factors030204 cardiovascular system & hematologyHematocritFibrinogenErythrocyte aggregation030218 nuclear medicine & medical imaging03 medical and health scienceschemistry.chemical_compound0302 clinical medicineInsulin resistanceuric acidRisk FactorsPhysiology (medical)Internal medicinemedicineHumanstraditional cardiovascular risk factorsSubclinical infectionAgedSubclinical carotid atherosclerosismedicine.diagnostic_testbusiness.industryhemorheological determinantsHematologymedicine.diseaseBlood ViscositychemistryCardiovascular DiseasesHeart Disease Risk FactorsCohortCardiologyUric acidFemaleInsulin Resistanceinsuline-resistenceCardiology and Cardiovascular Medicinebusinessmedicine.drugClinical hemorheology and microcirculation
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