0000000000268901

AUTHOR

Allan Tsung

showing 10 related works from this author

Hepatocellular carcinoma (HCC) vs. non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018

2019

PURPOSE: The Liver Imaging Reporting and Data System (LI-RADS) was created to standardize the diagnostic criteria for hepatocellular carcinoma (HCC), and has undergone multiple revisions including a recent update in 2018 (v2018). The primary aim of this study was to determine the diagnostic performance and interrater reliability (IRR) of LI-RADS v2018 for distinguishing HCC from non-HCC primary hepatic malignancy in patients ‘at-risk’ for HCC. A secondary aim was to assess the impact of changes introduced in the v2018 diagnostic algorithm. METHODS: This retrospective study combined a 10-year experience of pathologically-proven primary liver malignancies from two large liver transplant cente…

AdultMalemedicine.medical_specialtyCirrhosisCarcinoma HepatocellularUrologyMalignancySensitivity and SpecificityArticle030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineInternal medicineImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingIn patientLiver imagingAgedRetrospective StudiesAged 80 and overCirrhosiRadiological and Ultrasound Technologybusiness.industryLiver NeoplasmsGastroenterologyReproducibility of ResultsRetrospective cohort studyHepatologyMiddle Agedmedicine.diseaseMagnetic Resonance ImagingInterrater reliabilitydigestive system diseasesCombined hepatocellular-cholangiocarcinoma (cHCC-CCA)030220 oncology & carcinogenesisHepatocellular carcinomaCohortLI-RADSFemaleRadiologybusinessTomography X-Ray ComputedIntrahepatic cholangiocarcinoma (iCCA)Algorithms
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Evaluation of texture analysis for the differential diagnosis of focal nodular hyperplasia from hepatocellular adenoma on contrast-enhanced CT images

2018

PurposeTo explore the value of CT texture analysis (CTTA) for differentiation of focal nodular hyperplasia (FNH) from hepatocellular adenoma (HCA) on contrast-enhanced CT (CECT).MethodsThis is a retrospective, IRB-approved study conducted in a single institution. A search of the medical records between 2008 and 2017 revealed 48 patients with 70 HCA and 50 patients with 62 FNH. All lesions were histologically proven and with available pre-operative CECT imaging. Hepatic arterial phase (HAP) and portal venous phase (PVP) were used for CTTA. Textural features were extracted using a commercially available research software (TexRAD). The differences between textural parameters of FNH and HCA wer…

AdultMaleComputer tomographyAdolescentEnhanced ctUrologyContrast MediaLogistic regressionAdenoma Liver Cell030218 nuclear medicine & medical imagingDiagnosis DifferentialYoung Adult03 medical and health sciences0302 clinical medicineFocal nodular hyperplasiamedicineHumansRadiology Nuclear Medicine and imagingBinary logistic regression analysisTexture analysiRetrospective StudiesRadiological and Ultrasound Technologybusiness.industryLiver NeoplasmsGastroenterologyFocal nodular hyperplasiaMiddle AgedHepatocellular adenomaImage Enhancementmedicine.diseaseHepatocellular adenomaLiver030220 oncology & carcinogenesisMann–Whitney U testKurtosisFemaleDifferential diagnosisTomography X-Ray ComputedSettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessNuclear medicineAbdominal Radiology
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Expanding the Liver Imaging Reporting and Data System (LI-RADS) v2018 diagnostic population: performance and reliability of LI-RADS for distinguishin…

2018

Abstract Background Hepatocellular carcinoma (HCC) can be diagnosed using imaging criteria in patients at high-risk for HCC, according to Liver Imaging Reporting and Data System (LI-RADS) guidelines. The aim of this study was to determine the diagnostic performance and inter-rater reliability (IRR) of LI-RADS v2018 for differentiating HCC from non-HCC primary liver carcinoma (PLC), in patients who are at increased risk for HCC but not included in the LI-RADS ‘high-risk’ population. Methods This retrospective HIPAA-compliant study included a 10-year experience of pathologically-proven PLC at two liver transplant centers, and included patients with non-cirrhotic hepatitis C infection, non-cir…

OncologyMalemedicine.medical_specialtyCarcinoma HepatocellularPopulationSensitivity and SpecificityCholangiocarcinoma03 medical and health sciences0302 clinical medicineInternal medicineCarcinomaMedicineData SystemsHumanseducationneoplasmsAgedRetrospective Studieseducation.field_of_studyLI-RADS Hepatocellular carcinomaHepatologymedicine.diagnostic_testbusiness.industryFatty liverLiver NeoplasmsGastroenterologyReproducibility of ResultsMagnetic resonance imagingRetrospective cohort studyHepatitis CHepatitis C Chronicmedicine.diseaseMagnetic Resonance Imagingdigestive system diseasesFatty Liver030220 oncology & carcinogenesisHepatocellular carcinomaCohort030211 gastroenterology & hepatologyFemalebusinessTomography X-Ray ComputedSettore MED/36 - Diagnostica Per Immagini E Radioterapia
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Assessment of primary liver carcinomas other than hepatocellular carcinoma (HCC) with LI-RADS v2018: comparison of the LI-RADS target population to p…

2019

To determine whether the LI-RADS imaging features of primary liver carcinomas (PLCs) other than hepatocellular carcinoma (non-HCC PLCs) differ between patients considered high risk (RF+) versus not high risk (RF−) for HCC and to compare rates of miscategorization as probable or definite HCC between the RF+ and RF− populations. This retrospective study included all pathology-proven non-HCC PLCs imaged with liver-protocol CT or MRI from 2007 to 2017 at two liver transplant centers. Patients were defined per LI-RADS v2018 criteria as RF+ or RF−. Two independent, blinded readers (R1, R2) categorized 265 lesions using LI-RADS v2018. Logistic regression was utilized to assess for differences in i…

Malemedicine.medical_specialtyCarcinoma HepatocellularContrast MediaTarget populationLogistic regressionGastroenterologyLiver neoplasm030218 nuclear medicine & medical imagingLiver cirrhosiDiagnosis DifferentialCholangiocarcinoma03 medical and health sciences0302 clinical medicinehepatocellularRisk FactorsInternal medicineBile duct neoplasmHumansMedicineSingle-Blind MethodRadiology Nuclear Medicine and imagingAgedRetrospective StudiesNeuroradiologymedicine.diagnostic_testbusiness.industryLiver NeoplasmsCarcinomaRetrospective cohort studyInterventional radiologyGeneral MedicineMiddle Agedmedicine.diseaseMagnetic Resonance Imagingdigestive system diseasesExact testLogistic Models030220 oncology & carcinogenesisHepatocellular carcinomaFemaleRadiologyTomography X-Ray ComputedbusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaArterial phase
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Autophagy

2012

Klionsky, Daniel J. et al.

autophagy assays[SDV]Life Sciences [q-bio]AutolysosomeAutophagosome maturationautophagosomeBioinformaticsstressChaperone-mediated autophagyModelsLC3MESH: Animalsguidelinesautolysosome autophagosome flux LC3 lysosome phagophore stress vacuoleSettore BIO/06 - Anatomia Comparata E CitologiaComputingMilieux_MISCELLANEOUSSettore BIO/17Autophagy databaseautolysosome3. Good healthddc:540lysosomeEnergy and redox metabolism Mitochondrial medicine [NCMLS 4]methods [Biological Assay]Biological AssaySettore BIO/17 - ISTOLOGIANeuroniMAP1LC3BHumanautophagygenetics [Autophagy]AutofagiaMESH: Autophagy*/genetics[SDV.BC]Life Sciences [q-bio]/Cellular BiologyAutofagia; Neuroni; istologiaBiologyModels BiologicalLC3; autolysosome; autophagosome; flux; lysosome; phagophore; stress; vacuoleddc:570AutophagyAnimalsHumansAutophagy-Related Protein 7[SDV.BC] Life Sciences [q-bio]/Cellular BiologyBiological Assay/methodsMolecular BiologyBiologyAutophagy; guidelines; autophagy assaysistologiaphagophoreMESH: HumansAnimals; Biological Assay; Humans; Models Biological; AutophagyvacuoleAnimal[ SDV.BC ] Life Sciences [q-bio]/Cellular BiologyMESH: Models BiologicalPathogenesis and modulation of inflammation Infection and autoimmunity [N4i 1]Cell BiologyBiologicalAutophagy/geneticsfluxAutophagosome membraneAutophagy Protein 5Human medicineMESH: Biological Assay/methods*Neuroscienceautolysosome; autophagosome; flux; LC3; lysosome; phagophore; stress; vacuoleAutophagy
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Value of texture analysis on gadoxetic acid–enhanced MRI for differentiating hepatocellular adenoma from focal nodular hyperplasia

2019

OBJECTIVE. The objective of our study was to assess the diagnostic performance of texture analysis (TA) on gadoxetic acid-enhanced MR images for differentiation of hepatocellular adenoma (HCA) from focal nodular hyperplasia (FNH).MATERIALS AND METHODS. This study included 40 patients (39 women and one man) with 51 HCAs and 28 patients (27 women and one man) with 32 FNH lesions. All lesions were histologically proven with preoperative MRI performed with gadoxetic acid. Two readers reviewed all the imaging sequences to assess the qualitative MRI characteristics. The T2-weighted fast spin-echo, hepatic arterial phase (HAP), and hepatobiliary phase (HBP) sequences were used for TA. Textural fea…

AdultGadolinium DTPAMaleGadoxetic acidCarcinoma Hepatocellulargenetic structuresAdolescenthepatocellular adenomaContrast MediaSensitivity and Specificity030218 nuclear medicine & medical imagingAdenoma Liver CellDiagnosis Differential03 medical and health sciences0302 clinical medicineImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingTexture (crystalline)Agedfocal nodular hyperplasiabusiness.industryLiver NeoplasmsFocal nodular hyperplasiatexture analysiGeneral MedicineHepatocellular adenomaMiddle Agedmedicine.diseaseImage EnhancementMagnetic Resonance Imagingdigestive system diseases030220 oncology & carcinogenesisFemaleMr imagesNuclear medicinebusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaValue (mathematics)medicine.drugMRI
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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

2016

Seuls les 100 premiers auteurs dont les auteurs INRA ont été entrés dans la notice. La liste complète des auteurs et de leurs affiliations est accessible sur la publication.; International audience; In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues…

[SDV]Life Sciences [q-bio]autophagosomeReview Articleddc:616.07stressstreLC3MESH: AnimalsSettore MED/49 - Scienze Tecniche Dietetiche ApplicateSettore BIO/06 - Anatomia Comparata E Citologiachaperone-mediated autophagyComputingMilieux_MISCELLANEOUSSettore BIO/11Pharmacology. TherapySettore BIO/13standards [Biological Assay]autolysosomeMESH: Autophagy*/physiologylysosomemethods [Biological Assay]Biological AssaySettore BIO/17 - ISTOLOGIAErratumHumanBiochemistry & Molecular BiologySettore BIO/06physiology [Autophagy]Chaperonemediated autophagy[SDV.BC]Life Sciences [q-bio]/Cellular BiologyNOautophagy guidelines molecular biology ultrastructureautolysosome; autophagosome; chaperone-mediated autophagy; flux; LC3; lysosome; macroautophagy; phagophore; stress; vacuoleMESH: Biological Assay/methodsMESH: Computer Simulationddc:570Autolysosome Autophagosome Chaperonemediated autophagy Flux LC3 Lysosome Macroautophagy Phagophore Stress VacuoleAutophagyAnimalsHumansComputer SimulationSettore BIO/10ddc:612BiologyphagophoreMESH: HumansvacuoleAnimalLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole; Animals; Biological Assay; Computer Simulation; Humans; Autophagy0601 Biochemistry And Cell BiologyfluxmacroautophagyMESH: Biological Assay/standards*Human medicineLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole
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Texture analysis on preoperative contrast-enhanced magnetic resonance imaging identifies microvascular invasion in hepatocellular carcinoma

2019

Abstract Background Radiomic texture analysis quantifies tumor heterogeneity. The aim of this study is to determine if radiomics can predict biologic aggressiveness in HCC and identify tumors with MVI. Methods Single-center, retrospective review of HCC patients undergoing resection/ablation with curative intent from 2009 to 2017. DICOM images from preoperative MRIs were analyzed with texture analysis software. Texture analysis parameters extracted on T1, T2, hepatic arterial phase (HAP) and portal venous phase (PVP) images. Multivariate logistic regression analysis evaluated factors associated with MVI. Results MVI was present in 52.2% (n = 133) of HCCs. On multivariate analysis only T1 mea…

medicine.medical_specialtyCarcinoma HepatocellularMultivariate analysisHepatocellular carcinoma030230 surgeryLogistic regressionTumor heterogeneity03 medical and health sciences0302 clinical medicinemedicineHumansAnalysis softwareNeoplasm InvasivenessContrast-enhanced Magnetic Resonance ImagingRetrospective StudiesHepatologybusiness.industryLiver NeoplasmsGastroenterologymedicine.diseaseMagnetic Resonance Imaging030220 oncology & carcinogenesisHepatocellular carcinomaRadiologybusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaArterial phasePreoperative imagingMRI
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Erratum

2016

Author(s): Klionsky, DJ; Abdelmohsen, K; Abe, A; Abedin, MJ; Abeliovich, H; Arozena, AA; Adachi, H; Adams, CM; Adams, PD; Adeli, K; Adhihetty, PJ; Adler, SG; Agam, G; Agarwal, R; Aghi, MK; Agnello, M; Agostinis, P; Aguilar, PV; Aguirre-Ghiso, J; Airoldi, EM; Ait-Si-Ali, S; Akematsu, T; Akporiaye, ET; Al-Rubeai, M; Albaiceta, GM; Albanese, C; Albani, D; Albert, ML; Aldudo, J; Algul, H; Alirezaei, M; Alloza, I; Almasan, A; Almonte-Beceril, M; Alnemri, ES; Alonso, C; Altan-Bonnet, N; Altieri, DC; Alvarez, S; Alvarez-Erviti, L; Alves, S; Amadoro, G; Amano, A; Amantini, C; Ambrosio, S; Amelio, I; Amer, AO; Amessou, M; Amon, A; An, Z; Anania, FA; Andersen, SU; Andley, UP; Andreadi, CK; Andrieu-Ab…

0301 basic medicineSettore BIO/06biologyCell Biology[SDV.BC]Life Sciences [q-bio]/Cellular Biologybiology.organism_classificationCell biologyInterpretation (model theory)03 medical and health sciencesArama030104 developmental biologyMolecular BiologyHumanitiesComputingMilieux_MISCELLANEOUS
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Targetoid appearance on T2-weighted imaging and signs of tumor vascular involvement: diagnostic value for differentiating HCC from other primary live…

2021

To evaluate targetoid appearance on T2-weighted imaging and signs of tumor vascular involvement as potential new LI-RADS features for differentiating hepatocellular carcinoma (HCC) from other non-HCC primary liver carcinomas (PLCs). This IRB-approved, retrospective study was performed at two liver transplant centers. The final population included 375 patients with pathologically proven lesions imaged between 2007 and 2017 with contrast-enhanced CT or MRI. The cohort consisted of 165 intrahepatic cholangiocarcinomas and 74 combined hepatocellular-cholangiocarcinomas, with the addition of 136 HCCs for control. Two abdominal radiologists (R1; R2) independently reviewed the imaging studies (112…

medicine.medical_specialtyCarcinoma HepatocellularHepatocellular carcinomaPopulationContrast MediaX-ray computedMalignancySensitivity and SpecificityLiver neoplasm030218 nuclear medicine & medical imaging03 medical and health sciencesMagnetic resonance imaging0302 clinical medicineOcclusionmedicineHumansRadiology Nuclear Medicine and imagingeducationTomographyIntrahepatic CholangiocarcinomaRetrospective StudiesIntrahepatic cholangiocarcinomaNeuroradiologyeducation.field_of_studymedicine.diagnostic_testbusiness.industryLiver NeoplasmsMagnetic resonance imagingInterventional radiologyGeneral Medicinemedicine.diseasedigestive system diseasesBile Ducts IntrahepaticBile Duct Neoplasms030220 oncology & carcinogenesisHepatocellular carcinomaRadiologybusinessEuropean Radiology
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