2025
Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports
Rashedi S, Bejjani A, Hunsaker A, Aghayev A, Khairani C, McGonagle B, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Monreal M, Barco S, Secemsky E, Klok F, Muriel A, Hussain M, Appah-Sampong A, Rahaghi F, Sadeghipour P, Lin Z, Mojibian H, Aneja S, Konstantinides S, Goldhaber S, Wang L, Zhou L, Jimenez D, Krumholz H, Piazza G, Bikdeli B, Investigators T. Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports. Thrombosis Research 2025, 247: 109271. PMID: 39862754, DOI: 10.1016/j.thromres.2025.109271.Peer-Reviewed Original ResearchInternational Classification of Diseases (ICD)-10 codesICD-10International ClassificationPositive predictive valueDischarge diagnosisAccuracy of ICD-10Radiology reportsPrincipal discharge diagnosisSecondary discharge diagnosisIsolated subsegmental pulmonary embolismMedical records of adult patientsHealth systemRecords of adult patientsPredictive valueBlinded re-evaluationExpert radiologistsSubsegmental pulmonary embolismQuality improvementMedical recordsChart reviewPresence of PEProximal PEPulmonary embolismAdult patientsImaging Reporting
2024
Release of complex imaging reports to patients, do radiologists trust AI to help?
Amin K, Davis M, Naderi A, Forman H. Release of complex imaging reports to patients, do radiologists trust AI to help? Current Problems In Diagnostic Radiology 2024, 54: 147-150. PMID: 39676024, DOI: 10.1067/j.cpradiol.2024.12.008.Peer-Reviewed Original ResearchRadiology reportsArtificial intelligenceImprove patient comprehensionAcademic medical centerEight-question surveyManual checkingPatient portalsCentury Cures ActArtificial intelligence systemsArtificial intelligence technologyPatient comprehensionOpinions of radiologistsClinical fellowsIntelligent systemsCures ActMedical CenterImaging ReportingIntelligence technologyRadiology attendingsContact informationPatientsRadiologistsRadiologyMolecular Correlates of Prostate Cancer Visibility on Multiparametric Magnetic Resonance Imaging: A Systematic Review
Fazekas T, Pallauf M, Kufel J, Miszczyk M, Tsuboi I, Matsukawa A, Laukhtina E, Kardoust Parizi M, Mancon S, Cadenar A, Schulz R, Yanagisawa T, Baboudjian M, Szarvas T, Gandaglia G, Tilki D, Nyirády P, Rajwa P, Leapman M, Shariat S. Molecular Correlates of Prostate Cancer Visibility on Multiparametric Magnetic Resonance Imaging: A Systematic Review. European Urology Oncology 2024 PMID: 39414421, DOI: 10.1016/j.euo.2024.09.017.Peer-Reviewed Original ResearchProstate Imaging ReportingProstate cancerMagnetic resonance imagingMRI-invisible lesionsPI-RADSMRI visibilityImaging ReportingAssociated with oncologic outcomesBiologically aggressive prostate cancerHighest Prostate Imaging ReportingMultiparametric magnetic resonance imagingProstate magnetic resonance imagingPI-RADS 4PI-RADS scoreResonance imagingData System scoreAggressive prostate cancerStage prostate cancerMolecular correlatesClinically aggressive cancerPrognostic gene panelsSystematic biopsyAssociated with featuresOncological outcomesSystemic biopsyQuantitative and Radiological Assessment of Post-cardiac-Arrest Comatose Patients with Diffusion-Weighted Magnetic Resonance Imaging
Van Roy S, Hsu L, Ho J, Scirica B, Fischer D, Snider S, Lee J. Quantitative and Radiological Assessment of Post-cardiac-Arrest Comatose Patients with Diffusion-Weighted Magnetic Resonance Imaging. Neurocritical Care 2024, 42: 541-550. PMID: 39164537, DOI: 10.1007/s12028-024-02087-y.Peer-Reviewed Original ResearchAnalysis of apparent diffusion coefficientRadiological assessmentMagnetic resonance imagingQuantitative analysis of apparent diffusion coefficientCardiac arrestSubgroup analysisComatose patientsMultimodal approach to prognosticationQuantitative ADC analysisResonance imagingMagnetic resonance imaging reportsDiffusion-weighted magnetic resonance imagingCerebral Performance CategoryDiffusion-weighted imagingAnoxic brain injuryApparent diffusion coefficientDeep gray matter structuresADC analysisRadiological evaluationRetrospective studyADC mapsClinical outcomesAnoxic injuryDiffusion abnormalitiesImaging ReportingIdentification of hepatic steatosis among persons with and without HIV using natural language processing
Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari D, Tate J, Park L, Bhattacharya D, Lim J, Taddei T, Justice A, Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatology Communications 2024, 8: e0468. PMID: 38896066, PMCID: PMC11186806, DOI: 10.1097/hc9.0000000000000468.Peer-Reviewed Original ResearchConceptsImaging ReportingSteatotic liver diseaseHIV statusHepatic steatosisPrevalence of metabolic comorbiditiesImaging studiesVeterans Aging Cohort StudyCompare patient characteristicsPositive predictive valueAlcohol use disorderAging Cohort StudyIdentification of hepatic steatosisHIV infectionHepatitis BMetabolic comorbiditiesNatural language processing algorithmsRadiological studiesCohort studyPatient characteristicsClinical reviewLiver diseaseHIVPredictive valueUse disorderClinical image reportsUsing an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels
Warman P, Warman A, Warman R, Degnan A, Blickman J, Smith D, McHale P, Coburn Z, McCormick S, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G. Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels. Emergency Medicine Journal 2024, 41: 298-303. PMID: 38233106, DOI: 10.1136/emermed-2023-213158.Peer-Reviewed Original ResearchCranial CT scanEmergency physiciansIntracranial haemorrhageBoard-certified emergency physiciansCT scanYears of practice experienceNon-contrast cranial CT scansED physiciansClinical careImaging ReportingEP cohortArtificial intelligenceReader accuracyNon-contrastPatient outcomesRadiologistsRandom orderPhysiciansPatientsCohort
2023
Locoregional Therapy of Hepatocellular Carcinoma: Reporting Recommendations from the Liver Imaging Reporting and Data System and Society of Interventional Radiology Reporting Committees to Improve Assessment of Response
Roudenko A, Berman Z, Cornman-Homonoff J, Halin N, Kleedehn M, Fowler K, Mendiratta-Lalla M, Chernyak V, Sirlin C, Cunha G. Locoregional Therapy of Hepatocellular Carcinoma: Reporting Recommendations from the Liver Imaging Reporting and Data System and Society of Interventional Radiology Reporting Committees to Improve Assessment of Response. Journal Of Vascular And Interventional Radiology 2023, 34: 2042-2044. PMID: 37557980, DOI: 10.1016/j.jvir.2023.07.032.Peer-Reviewed Original ResearchAmerican College of Radiology initiatives on prostate magnetic resonance imaging quality
Purysko A, Tempany C, Macura K, Turkbey B, Rosenkrantz A, Gupta R, Attridge L, Hernandez D, Garcia-Tomkins K, Bhargavan-Chatfield M, Weinreb J, Larson D. American College of Radiology initiatives on prostate magnetic resonance imaging quality. European Journal Of Radiology 2023, 165: 110937. PMID: 37352683, PMCID: PMC10461171, DOI: 10.1016/j.ejrad.2023.110937.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingProstate magnetic resonance imagingAmerican CollegePatient careACR Appropriateness CriteriaProstate Imaging ReportingQuality Improvement CollaborativeHigh-quality patient careMRI qualityUrogenital RadiologyCenter designationAppropriateness CriteriaPatient outcomesProstate cancerClinical practiceImaging ReportingResonance imagingEuropean SocietyCareControl programsInternational panelMagnetic resonance imaging qualityRadiologyQuality control programPatientsLI-RADS: Looking Back, Looking Forward.
Chernyak V, Fowler K, Do R, Kamaya A, Kono Y, Tang A, Mitchell D, Weinreb J, Santillan C, Sirlin C. LI-RADS: Looking Back, Looking Forward. Radiology 2023, 307: e222801. PMID: 36853182, PMCID: PMC10068888, DOI: 10.1148/radiol.222801.Peer-Reviewed Original ResearchConceptsHepatocellular carcinomaLI-RADSSensitivity of LR-5Imaging modalitiesRadiation-based therapyTreatment response assessmentLiver Imaging ReportingLiver imaging modalityQuantitative imaging featuresExtracellular contrast agentsContrast agentsLR-5Systemic treatmentResponse assessmentImaging ReportingPatient characteristicsLiver cancerIndeterminate observationsClinical careDiagnosisLiverModalitiesReporting templateTreatmentImage features
2022
Further Characterization of Clinicopathologic Features of Cystic Neutrophilic Granulomatous Mastitis
Liang Y, Zhan H, Krishnamurti U, Harigopal M, Sun T. Further Characterization of Clinicopathologic Features of Cystic Neutrophilic Granulomatous Mastitis. American Journal Of Clinical Pathology 2022, 158: 488-493. PMID: 35899981, DOI: 10.1093/ajcp/aqac074.Peer-Reviewed Original ResearchConceptsCystic neutrophilic granulomatous mastitisGranulomatous mastitisClinicopathologic characteristicsClinicopathologic featuresHigher Breast Imaging ReportingUnique infectious diseaseHospital-based cohortDistinct clinicopathologic featuresMass-like lesionCase-control studyData System scoreBreast Imaging ReportingPainful lesionsRadiologic studiesClinicopathologic profileSystem scoreImaging ReportingDemographic featuresInfectious diseasesPatientsLesionsDiseaseMastitisFurther characterizationSmokersClinical utility of MR/ultrasound fusion-guided biopsy in patients with lower suspicion lesions on active surveillance for low-risk prostate cancer
Lokeshwar SD, Nguyen J, Rahman SN, Khajir G, Ho R, Ghabili K, Leapman MS, Weinreb JC, Sprenkle PC. Clinical utility of MR/ultrasound fusion-guided biopsy in patients with lower suspicion lesions on active surveillance for low-risk prostate cancer. Urologic Oncology Seminars And Original Investigations 2022, 40: 407.e21-407.e27. PMID: 35811206, DOI: 10.1016/j.urolonc.2022.06.005.Peer-Reviewed Original ResearchConceptsActive surveillanceIndex lesionProstate biopsyProstate cancerMultiparametric magnetic resonance imagingData System version 2Low-risk CaPSurveillance prostate biopsyGleason grade groupMultivariate logistic regressionSignificant prostate cancerProstate Imaging ReportingReceiver operator characteristic curvePI-RADS 2Low-suspicion lesionsOperator characteristic curveMagnetic resonance imagingHigher PSADOnly significant variablePrimary outcomeMultivariable analysisSystematic biopsyRetrospective analysisBiopsy approachImaging ReportingMR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features
Petukhova-Greenstein A, Zeevi T, Yang J, Chai N, DiDomenico P, Deng Y, Ciarleglio M, Haider SP, Onyiuke I, Malpani R, Lin M, Kucukkaya AS, Gottwald LA, Gebauer B, Revzin M, Onofrey J, Staib L, Gunabushanam G, Taddei T, Chapiro J. MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features. Journal Of Vascular And Interventional Radiology 2022, 33: 814-824.e3. PMID: 35460887, PMCID: PMC9335926, DOI: 10.1016/j.jvir.2022.04.006.Peer-Reviewed Original ResearchConceptsProgression-free survivalPoor progression-free survivalLiver Imaging ReportingHepatocellular carcinomaMR imaging biomarkersRadiomics signatureRadiofrequency ablationRadiomic featuresImaging biomarkersImaging ReportingFirst follow-up imagingMedian progression-free survivalRF ablationEarly-stage hepatocellular carcinomaPretreatment magnetic resonanceFirst-line treatmentMultifocal hepatocellular carcinomaSelection operator Cox regression modelTherapy-naïve patientsEarly-stage diseaseKaplan-Meier analysisCox regression modelLog-rank testFollow-up imagingPrediction of outcomeThe role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review
Carlson B, Harmath C, Turaga K, Kindler H, Armato S, Straus C. The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review. Abdominal Radiology 2022, 47: 1725-1740. PMID: 35257201, DOI: 10.1007/s00261-022-03464-x.Peer-Reviewed Original ResearchConceptsMaximum tumor dimensionMalignant peritoneal mesotheliomaMagnetic resonance imagingImaging modalitiesTumor dimensionPeritoneal mesotheliomaFluorodeoxyglucose positron emission tomographyPeritoneal carcinomatosis indexPleural plaquesSystematic reviewPositron emission tomographyPeritoneal carcinomatosisPeritoneal thickeningPeritoneal diseaseSystematic review of original research articlesReview of original research articlesFDG-PETClinical efficacyPoor prognosisImaging ReportingMesenteric thickeningDiagnostic sensitivityImaging studiesImaging protocolEmission tomography
2021
LI-RADS treatment response lexicon: review, refresh and resolve with emerging data
Ram R, Kampalath R, Shenoy-Bhangle AS, Arora S, Kielar AZ, Mendiratta-Lala M. LI-RADS treatment response lexicon: review, refresh and resolve with emerging data. Abdominal Radiology 2021, 46: 3549-3557. PMID: 34106301, DOI: 10.1007/s00261-021-03149-x.Peer-Reviewed Original ResearchConceptsTreatment response algorithmHepatocellular carcinomaRegional treatmentData System treatment response algorithmLI-RADS treatment response algorithmLoco-regional therapyLoco-regional treatmentLiver Imaging ReportingTreatment response assessmentCross-sectional modalitiesType of treatmentRegional therapyCurrent guidelinesTreatment responseResponse assessmentImaging ReportingCarcinomaTreatmentRole of the radiologist at HCC multidisciplinary conference and use of the LR-TR algorithm for improving workflow
Shenoy-Bhangle AS, Tsai LL, Masciocchi M, Arora SS, Kielar AZ. Role of the radiologist at HCC multidisciplinary conference and use of the LR-TR algorithm for improving workflow. Abdominal Radiology 2021, 46: 3558-3564. PMID: 33904990, DOI: 10.1007/s00261-021-03094-9.Peer-Reviewed Original ResearchConceptsLiver-directed locoregional therapiesLR-TR algorithmHepatocellular carcinomaLocoregional therapyMultidisciplinary conferenceLiver observationsTreatment of HCCLiver-directed therapiesLiver Imaging ReportingOptimal patient managementPost-treatment imagingRadiologic findingsLiver diseaseOncology patientsTransplant eligibilityInterdisciplinary managementHCC screeningPatient managementMultidisciplinary discussionPatient careImaging ReportingPatientsTherapyRadiologistsDisease
2020
Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions
Aslam A, Gian R, Kambadakone A, Spieler B, Miller FH, Gabr AM, Charalel RA, Kim CY, Madoff DC, Mendiratta-Lala M. Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions. World Journal Of Hepatology 2020, 12: 738-753. PMID: 33200013, PMCID: PMC7643220, DOI: 10.4254/wjh.v12.i10.738.Peer-Reviewed Original ResearchTreatment response algorithmLI-RADS treatment response algorithmLocoregional therapyLiver Imaging ReportingHepatocellular carcinomaTreatment response assessmentTreatment optionsResponse assessmentData System treatment response algorithmImaging ReportingDifferent locoregional therapiesLiver transplant candidacyHCC treatment responseTransplant candidacyOverall survivalSystemic therapyTumor burdenLeading causeTreatment responseLI-RADSTumor assessmentEconomic burdenClinical practiceTumor progressionTherapyVariability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel
Westphalen AC, McCulloch CE, Anaokar JM, Arora S, Barashi NS, Barentsz JO, Bathala TK, Bittencourt LK, Booker MT, Braxton VG, Carroll PR, Casalino DD, Chang SD, Coakley FV, Dhatt R, Eberhardt SC, Foster BR, Froemming AT, Fütterer JJ, Ganeshan DM, Gertner MR, Mankowski Gettle L, Ghai S, Gupta RT, Hahn ME, Houshyar R, Kim C, Kim CK, Lall C, Margolis DJA, McRae SE, Oto A, Parsons RB, Patel NU, Pinto PA, Polascik TJ, Spilseth B, Starcevich JB, Tammisetti VS, Taneja SS, Turkbey B, Verma S, Ward JF, Warlick CA, Weinberger AR, Yu J, Zagoria RJ, Rosenkrantz AB. Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel. Radiology 2020, 296: 76-84. PMID: 32315265, PMCID: PMC7373346, DOI: 10.1148/radiol.2020190646.Peer-Reviewed Original ResearchConceptsPositive predictive valuePI-RADS scoreProstate cancerPI-RADSGleason scorePredictive valueRetrospective cross-sectional studyHigh-grade prostate cancerObserved positive predictive valueOverall positive predictive valueUntreated prostate cancerProstate MRIInterquartile rangeSignificant prostate cancerProstate Imaging ReportingCross-sectional studyMixed-model logistic regressionProstate cancer diseaseReporting Data SystemMRI lesionsBiopsy resultsActive surveillanceClinical careMRI scansImaging Reporting
2019
Role of Core Number and Location in Targeted Magnetic Resonance Imaging-Ultrasound Fusion Prostate Biopsy
Lu AJ, Syed JS, Ghabili K, Hsiang WR, Nguyen KA, Leapman MS, Sprenkle PC. Role of Core Number and Location in Targeted Magnetic Resonance Imaging-Ultrasound Fusion Prostate Biopsy. European Urology 2019, 76: 14-17. PMID: 31047733, DOI: 10.1016/j.eururo.2019.04.008.Peer-Reviewed Original ResearchConceptsFusion prostate biopsySignificant prostate cancerProstate cancerProstate biopsyFusion biopsyMagnetic resonance imaging-ultrasound fusion biopsyActive surveillance patientsProstate Imaging ReportingUltrasound fusion biopsyMultiparametric MRI studyMagnetic resonance imagingClinical suspicionSurveillance patientsFirst biopsySystematic biopsySignificant cancerMRI studiesBiopsyPatientsRegion of interestImaging ReportingResonance imagingCancerDistinct cohortsSuspicious areasPD11-11 DECIPHER BIOPSY GENOMIC TEST RELATED TO GLEASON GRADE GROUP INDEPENDENT OF PROSTATE IMAGING REPORTING AND DATA SYSTEM VERSION 2
Martin D, Ghabili* K, Levi A, Humphrey P, Schulam P, Sprenkle P. PD11-11 DECIPHER BIOPSY GENOMIC TEST RELATED TO GLEASON GRADE GROUP INDEPENDENT OF PROSTATE IMAGING REPORTING AND DATA SYSTEM VERSION 2. Journal Of Urology 2019, 201 DOI: 10.1097/01.ju.0000555367.28091.c8.Peer-Reviewed Original ResearchVancouver Risk Calculator Compared with ACR Lung-RADS in Predicting Malignancy: Analysis of the National Lung Screening Trial
White C, Dharaiya E, Dalal S, Chen R, Haramati L. Vancouver Risk Calculator Compared with ACR Lung-RADS in Predicting Malignancy: Analysis of the National Lung Screening Trial. Radiology 2019, 291: 205-211. PMID: 30667335, DOI: 10.1148/radiol.2018181050.Peer-Reviewed Original ResearchConceptsNational Lung Screening TrialLung-RADSLung Imaging ReportingPatient basisRisk calculatorScreening TrialImaging ReportingRadiology Lung Imaging ReportingRisk of malignancyAmerican CollegeSolid nodulesSubsolid nodulesNodule basisMalignancyTotal nodulesNodulesData SystemTrialsSpecificityPatientsReporting
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