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Articles published in Eur J Radiol

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Single Articles


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


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


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed    


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed    


  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.
    PubMed    


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed    


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed    


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed    


  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.
    PubMed    


  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.
    PubMed    


    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.
    PubMed     Abstract available


  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.
    PubMed    


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed    


  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.
    PubMed     Abstract available


    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.
    PubMed     Abstract available


  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.
    PubMed     Abstract available


  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.
    PubMed    


  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.
    PubMed     Abstract available


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