Amedeo Smart

Free Medical Literature Service




  Free Subscription

Articles published in
Eur J Radiol
    February 2024
  1. FOOLADI M, Soleymani Y, Rahmim A, Farzanefar S, et al
    Impact of different reconstruction algorithms and setting parameters on radiomics features of PSMA PET images: A preliminary study.
    Eur J Radiol. 2024;172:111349.
    >> Share

    November 2023
  2. LI S, Liu J, Wang G, Feng L, et al
    Predictive value of 2-deoxy-2-fluorine-18-fluoro-D-glucose positron emission tomography/computed tomography parameters for MYCN amplification in high-risk neuroblastoma.
    Eur J Radiol. 2023;170:111243.
    >> Share

    October 2023
  3. CHAMPENDAL M, Muller H, Prior JO, Dos Reis CS, et al
    A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging.
    Eur J Radiol. 2023;169:111159.
    >> Share

    September 2023
  4. MICHALOPOULOU E, Pugalenthi PP, Darker I, Chen Y, et al
    A comparison of breast screening performance based on a standardised test, during and outside of the COVID-19 lockdown period.
    Eur J Radiol. 2023;168:111117.
    >> Share

    June 2023
  5. ZHANG KS, Neelsen CJO, Wennmann M, Glemser PA, et al
    Same-day repeatability and Between-Sequence reproducibility of Mean ADC in PI-RADS lesions.
    Eur J Radiol. 2023;165:110898.
    >> Share

    May 2023
  6. STEINBERG HL, Auer T, Gebauer B, Kloeckner R, et al
    Embolization of active arterial bleeding in COVID-19 patients: A multicenter study.
    Eur J Radiol. 2023;165:110892.
    >> Share

  7. YOO SJ, Kim H, Witanto JN, Inui S, et al
    Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs.
    Eur J Radiol. 2023;164:110858.
    >> Share

  8. KOEPPEL DR, Boehm IB
    Shortage of iodinated contrast media: Status and possible chances - A systematic review.
    Eur J Radiol. 2023;164:110853.
    >> Share

    April 2023
  9. MONTI CB, Zanardo M, Capra D, Folco G, et al
    Myocardial extracellular volume assessment at CT in hospitalized COVID-19 patients with regards to pulmonary embolism.
    Eur J Radiol. 2023;163:110809.
    >> Share

  10. KRAMER M, Ingwersen M, Teichgraber U, Guttler F, et al
    Added value of chest CT in a machine learning-based prediction model to rule out COVID-19 before inpatient admission: A retrospective university network study.
    Eur J Radiol. 2023;163:110827.
    >> Share

    September 2022
  11. AZOUR L, Condos R, Keerthivasan MB, Bruno M, et al
    Low-field 0.55 T MRI for assessment of pulmonary groundglass and fibrosis-like opacities: Inter-reader and inter-modality concordance.
    Eur J Radiol. 2022;156:110515.
    >> Share

    July 2022
  12. SARDANELLI F, Colarieti A
    Imaging of axillary lymph nodes in the COVID-19 era: A lesson to be learned.
    Eur J Radiol. 2022;154:110446.
    >> Share

  13. CORONADO-GUTIERREZ D, Ganau S, Bargallo X, Ubeda B, et al
    Quantitative ultrasound image analysis of axillary lymph nodes to differentiate malignancy from reactive benign changes due to COVID-19 vaccination.
    Eur J Radiol. 2022;154:110438.
    >> Share

    May 2022
  14. SEHGAL A, Kumar J, Garg A, Jain A, et al
    MR imaging spectrum in COVID associated Rhino-Orbito-Cerebral mucormycosis with special emphasis on intracranial disease and impact on patient prognosis.
    Eur J Radiol. 2022;152:110341.
    >> Share

    April 2022
  15. VAN NIJNATTEN TJA, Jochelson MS, Lobbes MBI
    Axillary lymph node characteristics in breast cancer patients versus post-COVID-19 vaccination: Overview of current evidence per imaging modality.
    Eur J Radiol. 2022;152:110334.
    >> Share

  16. MEZGHANI S, Salga M, Tordjman M, Amar R, et al
    Heterotopic ossification and COVID 19: Imaging analysis of ten consecutive cases.
    Eur J Radiol. 2022;152:110336.
    >> Share

    March 2022
  17. POLETTI J, Bach M, Yang S, Sexauer R, et al
    Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia.
    Eur J Radiol. 2022;150:110259.
    >> Share

  18. PENCE MC, Avdan Aslan A, Tunccan OG, Erbas G, et al
    Prognostic value of semi-quantitative CT-based score integrated with cardiovascular risk factors during the first peak of the COVID-19 pandemic: A new score to predict poor outcome.
    Eur J Radiol. 2022;150:110238.
    >> Share

    February 2022
  19. ONNIS C, Muscogiuri G, Paolo Bassareo P, Cau R, et al
    Non-invasive coronary imaging in patients with COVID-19: A narrative review.
    Eur J Radiol. 2022;149:110188.
    >> Share

    January 2022
  20. GIL-RODRIGUEZ J, Perez de Rojas J, Aranda-Laserna P, Benavente-Fernandez A, et al
    Ultrasound findings of lung ultrasonography in COVID-19: A systematic review.
    Eur J Radiol. 2022;148:110156.
    >> Share

  21. CAU R, Faa G, Nardi V, Balestrieri A, et al
    Long-COVID diagnosis: From diagnostic to advanced AI-driven models.
    Eur J Radiol. 2022;148:110164.
    >> Share

  22. CHEN JY, Vedantham S, Lexa FJ
    Burnout and work-work imbalance in radiology- wicked problems on a global scale. A baseline pre-COVID-19 survey of US neuroradiologists compared to international radiologists and adjacent staff.
    Eur J Radiol. 2022 Jan 7:110153. doi: 10.1016/j.ejrad.2022.110153.
    >> Share

    November 2021
  23. WANG L, Wang H, Huang Y, Yan B, et al
    Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020.
    Eur J Radiol. 2021;146:110069.
    >> Share

  24. SHANG S, Huang C, Yan W, Chen R, et al
    Performance of a computer aided diagnosis system for SARS-CoV-2 pneumonia based on ultrasound images.
    Eur J Radiol. 2021;146:110066.
    >> Share

  25. KRIZA C, Amenta V, Zenie A, Panidis D, et al
    Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers.
    Eur J Radiol. 2021;145:110028.
    >> Share

  26. CHANDARANA H, Pisuchpen N, Krieger R, Dane B, et al
    Association of body composition parameters measured on CT with risk of hospitalization in patients with Covid-19.
    Eur J Radiol. 2021;145:110031.
    >> Share

    October 2021
  27. GIANNAKIS A, More D, Erdmann S, Kintzele L, et al
    COVID-19 pneumonia and its lookalikes: How radiologists perform in differentiating atypical pneumonias.
    Eur J Radiol. 2021;144:110002.
    >> Share

  28. LI Y, Han X, Huang J, Alwalid O, et al
    Follow-up study of pulmonary sequelae in discharged COVID-19 patients with diabetes or secondary hyperglycemia.
    Eur J Radiol. 2021;144:109997.
    >> Share

    September 2021
  29. BUSTIN A, Sridi S, Gravinay P, Legghe B, et al
    High-resolution Free-breathing late gadolinium enhancement Cardiovascular magnetic resonance to diagnose myocardial injuries following COVID-19 infection.
    Eur J Radiol. 2021;144:109960.
    >> Share

    August 2021
  30. TOLONEN A, Pakarinen T, Sassi A, Kytta J, et al
    Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review.
    Eur J Radiol. 2021;145:109943.
    >> Share

    July 2021
  31. VAN HEUSDEN HC, Swartz JE, Chargi N, de Jong PA, et al
    Feasibility of assessment of skeletal muscle mass on a single cross-sectional image at the level of the fourth thoracic vertebra.
    Eur J Radiol. 2021;142:109879.
    >> Share

    June 2021
  32. STANZIONE A, Ponsiglione A, Cuocolo R, Brunetti A, et al
    Author response to the Letter to Editor on Chest CT in COVID-19 patients: Structured vs conventional reporting.
    Eur J Radiol. 2021;141:109822.
    >> Share

  33. AGGARWAL A, Bagri N
    Letter to Editor in response to Chest CT in COVID-19 patients: Structured vs conventional reporting.
    Eur J Radiol. 2021;141:109814.
    >> Share

    March 2021
  34. BALBI M, Conti C, Imeri G, Caroli A, et al
    Post-discharge chest CT findings and pulmonary function tests in severe COVID-19 patients.
    Eur J Radiol. 2021;138:109676.
    >> Share

  35. RIZZETTO F, Perillo N, Artioli D, Travaglini F, et al
    Correlation between lung ultrasound and chest CT patterns with estimation of pulmonary burden in COVID-19 patients.
    Eur J Radiol. 2021;138:109650.
    >> Share

  36. STANZIONE A, Ponsiglione A, Cuocolo R, Rumolo M, et al
    Chest CT in COVID-19 patients: Structured vs conventional reporting.
    Eur J Radiol. 2021;138:109621.
    >> Share

    February 2021
  37. ANGELI E, Dalto S, Marchese S, Setti L, et al
    Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome.
    Eur J Radiol. 2021;137:109612.
    >> Share

  38. VALLE C, Bonaffini PA, Dal Corso M, Mercanzin E, et al
    Association between pulmonary embolism and COVID-19 severe pneumonia: Experience from two centers in the core of the infection Italian peak.
    Eur J Radiol. 2021;137:109613.
    >> Share

  39. WU Z, Li L, Jin R, Liang L, et al
    Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19.
    Eur J Radiol. 2021;137:109602.
    >> Share

  40. GONG K, Wu D, Arru CD, Homayounieh F, et al
    A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
    Eur J Radiol. 2021 Feb 5:109583. doi: 10.1016/j.ejrad.2021.109583.
    >> Share

    January 2021
  41. WANG L, Kelly B, Lee EH, Wang H, et al
    Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features.
    Eur J Radiol. 2021;136:109552.
    >> Share

    December 2020
  42. BOOZ C, Vogl TJ, Joseph Schoepf U, Caruso D, et al
    Value of minimum intensity projections for chest CT in COVID-19 patients.
    Eur J Radiol. 2020;135:109478.
    >> Share

  43. LARICI AR, Cicchetti G, Marano R, Merlino B, et al
    Corrigendum to "Multimodality imaging of COVID-19 pneumonia: From diagnosis to follow-up. A comprehensive review" [Eur. J. Radiol. 131 (October) (2020) 109217].
    Eur J Radiol. 2020 Dec 4:109364. doi: 10.1016/j.ejrad.2020.109364.
    >> Share

    November 2020
  44. LI Q, Huang XT, Li CH, Liu D, et al
    CT features of coronavirus disease 2019 (COVID-19) with an emphasis on the vascular enlargement pattern.
    Eur J Radiol. 2020;134:109442.
    >> Share

  45. AKYURT N
    Knowledge, practice and emotional status related to COVID-19 pandemic among radiology technicians working at pandemic hospitals.
    Eur J Radiol. 2020;134:109431.
    >> Share

  46. OHANA M, Muller J, Severac F, Bilbault P, et al
    Temporal variations in the diagnostic performance of chest CT for Covid-19 depending on disease prevalence: Experience from North-Eastern France.
    Eur J Radiol. 2020;134:109425.
    >> Share

  47. ZHAO P, Pan Z, Yu T
    Corrigendum to "COV is a readily available quantitative indicator of metabolic heterogeneity for predicting survival of patients with early and locally advanced NSCLC manifesting as central lung cancer" [Eur. J. Radiol. 132 (2020) 109338].
    Eur J Radiol. 2020 Nov 13:109401. doi: 10.1016/j.ejrad.2020.109401.
    >> Share

  48. YATES A, Dempsey PJ, Vencken S, MacMahon PJ, et al
    Structured reporting in portable chest radiographs: An essential tool in the diagnosis of COVID-19.
    Eur J Radiol. 2020;134:109414.
    >> Share

  49. JAVOR D, Kaplan H, Kaplan A, Puchner SB, et al
    Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.
    Eur J Radiol. 2020;133:109402.
    >> Share

  50. CHOI Y, Lee MK
    Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis.
    Eur J Radiol. 2020;133:109393.
    >> Share

    October 2020
  51. COLOMBI D, Petrini M, Maffi G, Villani GD, et al
    Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence.
    Eur J Radiol. 2020;133:109344.
    >> Share

  52. YU T
    COV is a readily available quantitative indicator of metabolic heterogeneity for predicting survival of patients with early and locally advanced NSCLC manifesting as central lung cancer.
    Eur J Radiol. 2020;132:109338.
    >> Share

  53. OOI MWX, Rajai A, Patel R, Gerova N, et al
    Pulmonary thromboembolic disease in COVID-19 patients on CT pulmonary angiography - Prevalence, pattern of disease and relationship to D-dimer.
    Eur J Radiol. 2020;132:109336.
    >> Share

    September 2020
  54. TABATABAEI SMH, Rahimi H, Moghaddas F, Rajebi H, et al
    Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study.
    Eur J Radiol. 2020;132:109298.
    >> Share

  55. FLORIN M, Pinar U, Chavigny E, Bouaboula M, et al
    Socio-economic and psychological impact of the COVID-19 outbreak on private practice and public hospital radiologists.
    Eur J Radiol. 2020;132:109285.
    >> Share

  56. COZZI A, Schiaffino S, Arpaia F, Della Pepa G, et al
    Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance.
    Eur J Radiol. 2020;132:109272.
    >> Share

  57. UFUK F, Demirci M, Sagtas E, Akbudak IH, et al
    The prognostic value of pneumonia severity score and pectoralis muscle Area on chest CT in adult COVID-19 patients.
    Eur J Radiol. 2020;131:109271.
    >> Share

  58. KOTTLORS J, Zopfs D, Fervers P, Bremm J, et al
    Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study.
    Eur J Radiol. 2020;132:109274.
    >> Share

    August 2020
  59. ANASTASOPOULOS C, Weikert T, Yang S, Abdulkadir A, et al
    Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning.
    Eur J Radiol. 2020;131:109233.
    >> Share

  60. MEILER S, Schaible J, Poschenrieder F, Scharf G, et al
    Can CT performed in the early disease phase predict outcome of patients with COVID 19 pneumonia? Analysis of a cohort of 64 patients from Germany.
    Eur J Radiol. 2020;131:109256.
    >> Share

  61. OTERINO SERRANO C, Alonso E, Andres M, Buitrago NM, et al
    Pediatric chest x-ray in covid-19 infection.
    Eur J Radiol. 2020;131:109236.
    >> Share

  62. HUANG Q, Li J, Lyu S, Liang W, et al
    COVID-19 associated kidney impairment in adult: Qualitative and quantitative analyses with non-enhanced CT on admission.
    Eur J Radiol. 2020;131:109240.
    >> Share

  63. LARICI AR, Cicchetti G, Marano R, Merlino B, et al
    Multimodality imaging of COVID-19 pneumonia: from diagnosis to follow-up. Acomprehensive review.
    Eur J Radiol. 2020;131:109217.
    >> Share

  64. GUILLO E, Bedmar Gomez I, Dangeard S, Bennani S, et al
    COVID-19 pneumonia: Diagnostic and prognostic role of CT based on a retrospective analysis of 214 consecutive patients from Paris, France.
    Eur J Radiol. 2020;131:109209.
    >> Share

    July 2020
  65. LEONARDI A, Scipione R, Alfieri G, Petrillo R, et al
    Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method.
    Eur J Radiol. 2020;130:109202.
    >> Share

  66. FALASCHI Z, Danna PSC, Arioli R, Pasche A, et al
    Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases.
    Eur J Radiol. 2020;130:109192.
    >> Share

    June 2020
  67. PARRY AH, Wani AH, Yaseen M, Dar KA, et al
    Spectrum of chest computed tomographic (CT) findings in coronavirus disease-19 (COVID-19) patients in India.
    Eur J Radiol. 2020;129:109147.
    >> Share

  68. PATELLI G, Paganoni S, Besana F, Codazzi F, et al
    Preliminary detection of lung hypoperfusion in discharged Covid-19 patients during recovery.
    Eur J Radiol. 2020;129:109121.
    >> Share

  69. CHAE KJ, Jin GY, Lee CS, Lee HB, et al
    Positive conversion of COVID-19 after two consecutive negative RT-PCR results: A role of low-dose CT.
    Eur J Radiol. 2020;129:109122.
    >> Share

  70. BORRERO R, Marquez S, Triana G
    Chest CT in coronavirus pandemic. Are there really age based radiological and clinical differences?
    Eur J Radiol. 2020;129:109107.
    >> Share

    May 2020
  71. IPPOLITO D, Pecorelli A, Maino C, Capodaglio C, et al
    Diagnostic impact of bedside chest X-ray features of 2019 novel coronavirus in the routine admission at the emergency department: case series from Lombardy region.
    Eur J Radiol. 2020;129:109092.
    >> Share

  72. DE BARRY O, Obadia I, Hajjam ME, Carlier RY, et al
    Chest-X-ray is a mainstay for follow-up in critically ill patients with covid-19 induced pneumonia.
    Eur J Radiol. 2020 May 13:109075. doi: 10.1016/j.ejrad.2020.109075.
    >> Share

  73. SASI S D, Ramaniharan AK, Bhattacharjee R, Gupta RK, et al
    Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading.
    Eur J Radiol. 2020;129:109049.
    >> Share

  74. WU X, Hui H, Niu M, Li L, et al
    Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.
    Eur J Radiol. 2020;128:109041.
    >> Share

    April 2020
  75. ZHAO Y, Xiang C, Wang S, Peng C, et al
    Radiology department strategies to protect radiologic technologists against COVID19: Experience from Wuhan.
    Eur J Radiol. 2020;127:108996.
    >> Share

  76. HU Q, Guan H, Sun Z, Huang L, et al
    Early CT features and temporal lung changes in COVID-19 pneumonia in Wuhan, China.
    Eur J Radiol. 2020;128:109017.
    >> Share

  77. YANG Q, Liu Q, Xu H, Lu H, et al
    Imaging of coronavirus disease 2019: A Chinese expert consensus statement.
    Eur J Radiol. 2020;127:109008.
    >> Share

  78. DOU P, Zhang S, Wang C, Cai L, et al
    Serial CT features in discharged COVID-19 patients with positive RT-PCR re-test.
    Eur J Radiol. 2020;127:109010.
    >> Share

  79. DING X, Xu J, Zhou J, Long Q, et al
    Chest CT findings of COVID-19 pneumonia by duration of symptoms.
    Eur J Radiol. 2020;127:109009.
    >> Share

    March 2020
  80. LONG C, Xu H, Shen Q, Zhang X, et al
    Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
    Eur J Radiol. 2020;126:108961.
    >> Share

  81. CHEN Z, Fan H, Cai J, Li Y, et al
    High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages.
    Eur J Radiol. 2020;126:108972.
    >> Share

  82. LING Z, Xu X, Gan Q, Zhang L, et al
    Asymptomatic SARS-CoV-2 infected patients with persistent negative CT findings.
    Eur J Radiol. 2020;126:108956.
    >> Share

  83. LIU KC, Xu P, Lv WF, Qiu XH, et al
    CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity.
    Eur J Radiol. 2020;126:108941.
    >> Share

Free Medical Abstracts
Privacy Policy

© Amedeo 1997-2016