Connection

MYLENE TRUONG to Mediastinum

This is a "connection" page, showing publications MYLENE TRUONG has written about Mediastinum.
Connection Strength

1.972
  1. Imaging of the mediastinum: Mimics of malignancy. Semin Diagn Pathol. 2022 Mar; 39(2):92-98.
    View in: PubMed
    Score: 0.678
  2. Differentiating pericardial recesses from mediastinal adenopathy: potential pitfalls in oncological imaging. Clin Radiol. 2014 Mar; 69(3):307-14.
    View in: PubMed
    Score: 0.402
  3. Focal FDG uptake in mediastinal brown fat mimicking malignancy: a potential pitfall resolved on PET/CT. AJR Am J Roentgenol. 2004 Oct; 183(4):1127-32.
    View in: PubMed
    Score: 0.213
  4. Pearls and pitfalls in imaging of mediastinal masses. Semin Ultrasound CT MR. 2022 Jun; 43(3):257-266.
    View in: PubMed
    Score: 0.178
  5. Two unusual fat-containing mediastinal entities: Pearls and pitfalls in imaging of Morgagni hernia and fat necrosis. Semin Ultrasound CT MR. 2022 Jun; 43(3):267-278.
    View in: PubMed
    Score: 0.177
  6. ITMIG Classification of Mediastinal Compartments and Multidisciplinary Approach to Mediastinal Masses. Radiographics. 2017 Mar-Apr; 37(2):413-436.
    View in: PubMed
    Score: 0.125
  7. A patient with new-onset seizure and mediastinal adenopathy. Chest. 2004 Sep; 126(3):982-5.
    View in: PubMed
    Score: 0.053
  8. Potential Pitfalls in Imaging of the Mediastinum. Radiol Clin North Am. 2021 Mar; 59(2):279-290.
    View in: PubMed
    Score: 0.041
  9. Mediastinal lymphadenopathy and hazy mediastinal fat: new CT findings of congestive heart failure. AJR Am J Roentgenol. 1998 Nov; 171(5):1307-9.
    View in: PubMed
    Score: 0.035
  10. Role of Dual-Energy Computed Tomography in Thoracic Oncology. Radiol Clin North Am. 2018 Jul; 56(4):535-548.
    View in: PubMed
    Score: 0.035
  11. Incidental Findings on Lung Cancer Screening: Significance and Management. Semin Ultrasound CT MR. 2018 Jun; 39(3):273-281.
    View in: PubMed
    Score: 0.034
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.