2023
DOI: 10.1097/md.0000000000034798
|View full text |Cite
|
Sign up to set email alerts
|

Accurate diagnosis of pulmonary inflammatory myofibroblastic tumor by imaging technology before operation: A case report

Lv Sun,
Yuhang Zhu,
Cheng Chen
et al.

Abstract: Rationale: Pulmonary inflammatory myofibroblastic tumor (IMT) is a rare borderline tumor, which has the potential of malignant including invasion of surrounding tissues, distant metastasis and recurrence. However, the preoperative diagnosis is difficult and it can also be difficult to distinguish from malignancy in small tissue samples. Preoperative accurate diagnosis has important clinical significance for patients to choose treatment measures and improve the quality of rehabilitation. We was exam… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 17 publications
(24 reference statements)
0
1
0
Order By: Relevance
“…Neoplasms located in bones may cause destruction [ 69 ]. IMT in the lungs is most often located peripherally, showing a slight contrast enhancement, and in some cases, the presence of calcification has been demonstrated [ 71 , 74 ]. IMTs located in the urinary bladder are typically found as submucosal masses, characterized by a generally elevated T2 signal on MRI and heterogeneous contrast enhancement [ 75 ].…”
Section: Diagnosismentioning
confidence: 99%
“…Neoplasms located in bones may cause destruction [ 69 ]. IMT in the lungs is most often located peripherally, showing a slight contrast enhancement, and in some cases, the presence of calcification has been demonstrated [ 71 , 74 ]. IMTs located in the urinary bladder are typically found as submucosal masses, characterized by a generally elevated T2 signal on MRI and heterogeneous contrast enhancement [ 75 ].…”
Section: Diagnosismentioning
confidence: 99%