Multidetector computed tomography evaluation of normal thymus and variations with age.
J Minim Access Surg
; 2023 Jul 05.
Article
em En
| MEDLINE
| ID: mdl-37706407
ABSTRACT
Background:
Thymus is a T-cell-producing lymphoid organ that appears prominent in the paediatric population and involutes in size with ageing. The gland shows a wide variety of appearances across different age groups. The purpose of the study is to evaluate the computed tomography (CT) appearance of thymus gland in the normal population with a focus on size, CT attenuation and fatty infiltration in different age groups. Patients andMethods:
This is a retrospective study done after taking approval from the Institutional Ethics Committee. Patients undergone CT scans of the thorax were identified from our database. All evaluations were done in non-contrast CT scans. Patients having underlying diseases that may have associated thymic abnormality were excluded. The appearance of thymus and the presence of fatty replacement were assessed. The size of thymus (length and thickness of right limb and left limb) and non-contrast CT Hounsfield unit (HU) value of thymic tissue were measured and compared in various age groups.Results:
Four hundred and fifty patients were included, 262 (58.2%) were male. Mean age was 33.6 ± 17.1 years, range (3 months-80 years). The size of thymus was observed to decrease with increasing age. The mean age of complete fatty replacement in our study was 45 years. Complete fatty replacement was noted in all cases with an age of more than 60 years. The most common shape was arrowhead, and the most common location was pre-aortic and para-aortic location. Non-contrast CT HU value was maximum in infants and gradually decreased with advancing age.Conclusion:
Even normal thymus can show varied appearance on CT which changes with the age of the patient being imaged. A comparison with normative data could help differentiate normal from abnormal glands to avoid unnecessary intervention.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article