Pleural Epithelioid Hemangioendothelioma

Al-Mahrouqi, Tamadhir; Al-Baali, Dana; Al-Sawafi, Yaqoob

doi:10.4103/sjmms.sjmms_500_21

Cited by 1 publication

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Pleural Neoplasms and Their Classificationmentioning

confidence: 99%

“…Epithelioid hemangioendothelioma (EHE) is a rare malignant tumor with an estimated global prevalence below 1:1,000,000 [ 37 , 38 ]. It can involve any tissue but the most commonly affected organs are the liver, lungs, and bones [ 38 , 39 , 40 ]. Pleural epithelioid hemangioendothelioma (PEH) is an extremely rare EHE subtype, and has a more aggressive clinical course and worse prognosis than its counterparts in other organs [ 39 , 41 ].…”

Section: Pleural Neoplasms and Their Classificationmentioning

confidence: 99%

“…According to the so far documented cases, it usually affects elderly men. The most typical clinical features are dyspnea, chest pain, cough, and fever [ 37 , 38 , 41 ]. It may mimic other diseases, such as tuberculosis, metastatic cancer, or pleural mesothelioma [ 42 , 43 ].…”

Section: Pleural Neoplasms and Their Classificationmentioning

confidence: 99%

See 2 more Smart Citations

Pleural Neoplasms—What Could MRI Change?

Szczyrek

Bitkowska

Jutrzenka

et al. 2023

Cancers

View full text Add to dashboard Cite

The primary pleural neoplasms constitute around 10% of the pleural tumors. The currently recommended method for their imaging is CT which has been shown to have certain limitations. Strong development of the MRI within the last two decades has provided us with a number of sequences that could potentially be superior to CT when it comes to the pleural malignancies’ detection and characterization. This literature review discusses the possible applications of the MRI as a diagnostic tool in patients with pleural neoplasms. Although selected MRI techniques have been shown to have a number of advantages over CT, further research is required in order to confirm the obtained results, broaden our knowledge on the topic, and pinpoint the sequences most optimal for pleural imaging, as well as the best methods for reading and analysis of the obtained data.

show abstract