0000000000076869

AUTHOR

Francesco Di Pietto

showing 4 related works from this author

The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability

2020

In this paper, we present and discuss a novel reliability metric to quantify the extent a ground truth, generated in multi-rater settings, as a reliable basis for the training and validation of machine learning predictive models. To define this metric, three dimensions are taken into account: agreement (that is, how much a group of raters mutually agree on a single case)

Computer sciencekneeMachine learningcomputer.software_genrelcsh:TechnologyTask (project management)lcsh:Chemistry03 medical and health sciencesMagnetic resonance imaging0302 clinical medicine0504 sociologyGeneral Materials Science030212 general & internal medicinelcsh:QH301-705.5InstrumentationCompetence (human resources)MRNetReliability (statistics)Fluid Flow and Transfer ProcessesGround truthreliabilityBasis (linear algebra)Point (typography)lcsh:Tbusiness.industryComputer Science::Information RetrievalProcess Chemistry and Technology05 social sciencesGeneral Engineering050401 social sciences methodslcsh:QC1-999Computer Science ApplicationsInter-rater reliabilitymachine learninglcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040inter-rater agreementArtificial intelligenceMetric (unit)lcsh:Engineering (General). Civil engineering (General)businessground truthcomputerlcsh:PhysicsApplied Sciences
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Musculoskeletal Ultrasound in the Emergency Department

2020

AbstractThe skin, nerves, and tendons are superficial anatomical structures that can easily be investigated with an ultrasound (US) examination in the emergency department (ED). US evaluation is relatively underused in musculoskeletal evaluation when compared with other emergency applications, such as abdominal trauma, possible aortic aneurysm, and in the cardiovascular system. The aim of this article is to revise the main bone and soft tissue conditions that can be assessed using US in the ED.

030203 arthritis & rheumatologymedicine.medical_specialtybusiness.industryUltrasoundMEDLINESoft tissueEmergency departmentmedicine.disease030218 nuclear medicine & medical imagingReview article03 medical and health sciencesAortic aneurysm0302 clinical medicineAbdominal traumamedicineMedical imagingHumansWounds and InjuriesRadiology Nuclear Medicine and imagingOrthopedics and Sports MedicineRadiologyEmergency Service HospitalbusinessUltrasonographySeminars in Musculoskeletal Radiology
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Whole-body MRI in patients with lymphoma: collateral findings.

2016

To assess the incidence of collateral findings detected on whole-body magnetic resonance (WB-MRI) scans performed on patients with lymphoma. 114 patients (65 male; median age 45.2 years, range 15–86) with histologically confirmed lymphoma (47 Hodgkin, 67 Non-Hodgkin) underwent WB-MRI. The collateral findings were classified into three classes, according to their clinical significance, as follows: not or low significant (class 1), moderately or potentially significant (class 2), and significant (class 3). A Chi-square (χ 2) test was performed to assess the statistical significance of differences in the incidence of collateral findings based on age (≤50 and >50 years old), gender and histolog…

AdultMalemedicine.medical_specialtyRadiology Nuclear Medicine and ImagingAdolescentLymphomaAsymptomaticGastroenterology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineStatistical significanceInternal medicineMedicineHumansClinical significanceWhole Body ImagingNeuroradiologyAgedNeoplasm StagingAged 80 and overWhole-body imagingIncidental Findingsmedicine.diagnostic_testbusiness.industryIncidence (epidemiology)Medicine (all)Interventional radiologyMagnetic resonance imagingGeneral Medicinemedicine.diseaseMagnetic Resonance ImagingLymphoma030220 oncology & carcinogenesisCollateral findingFemaleRadiologymedicine.symptombusinessLa Radiologia medica
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Glenoid bone loss in anterior shoulder dislocation: a multicentric study to assess the most reliable imaging method

2022

Purpose: The aim of this multicentric study was to assess which imaging method has the best inter-reader agreement for glenoid bone loss quantification in anterior shoulder instability. A further aim was to calculate the inter-method agreement comparing bilateral CT with unilateral CT and MR arthrography (MRA) with CT measurements. Finally, calculations were carried out to find the least time-consuming method. Method: A retrospective evaluation was performed by 9 readers (or pairs of readers) on a consecutive series of 110 patients with MRA and bilateral shoulder CT. Each reader was asked to calculate the glenoid bone loss of all patients using the following methods: best fit circle area on…

Bone lossBone loAnterior shoulder instability; Bone loss; CT; Glenoid bony defect; MRI; Measurement technique; PICORadiology Nuclear Medicine and imagingAnterior shoulder instabilityPICOGeneral MedicineMeasurement techniqueAnterior shoulder instability; Bone loss; CT; Glenoid bony defect; MRI; Measurement technique; PICO.Glenoid bony defectAnterior shoulder instability; Bone loss; CT; Glenoid bony defect; Measurement technique; MRI; PICOCTMRI
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