Superb microvascular imaging for the detection of parenchymal perfusion in normal and undescended testes in young children

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• 作者：Yong Seung Lee^a ; ^{asforthelord@yuhs.ac" class="auth_mail" title="E-mail the corresponding author} ; Myung-Joon Kim^b ; ^{mjkim@yuhs.ac" class="auth_mail" title="E-mail the corresponding author} ; Sang Won Han^a ; ^{swhan58@yuhs.ac" class="auth_mail" title="E-mail the corresponding author} ; Hye Sun Lee^c ; ^{hslee1@yuhs.ac" class="auth_mail" title="E-mail the corresponding author} ; Young-Jae Im^a ; ^{yjim@yuhs.ac" class="auth_mail" title="E-mail the corresponding author} ; Hyun Joo Shin^b ; ^{lamer-22@yuhs.ac" class="auth_mail" title="E-mail the corresponding author} ; Mi-Jung Lee^b ; ^{mjl1213@yuhs.ac" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Undescended testis ; Cryptorchidism ; Child ; Doppler ultrasonography ; Perfusion
• 刊名：European Journal of Radiology
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：85
• 期：3
• 页码：649-656
• 全文大小：2419 K

文摘

To compare the detectability of perfusion difference between normal and undescended testes (UDT) in young children using conventional Power Doppler Imaging (PDI) and Superb Microvascular Imaging (SMI).

Methods

We prospectively performed testicular ultrasonography including PDI and SMI for the evaluation of microvascular flow in young children. Microvascular flow was categorized into four grades (grade 0–4). Statistical analysis was performed to compare the differences between undescended and normal testes.

Results

We imaged 40 testes from 20 boys (age, 2–29 months). Testes sizes and volumes were similar between the 29 normal and 11 UDT. PDI demonstrated low grade flow in most normal (19/29) and UDT (11/11) without difference (P = 0.130). However, SMI detected differences in flow grades between normal and UDT (P < 0.001). In univariate analysis, age (odds ratio [OR], 0.829; P = 0.012) and low grade flow on SMI (OR of grade 0, 51.886 with P < 0.001 and OR of grade 1, 14.29 with P = 0.017) were associated with UDT. These parameters were also significant in multivariate analysis with larger area under the curve, compared with the results using PDI (0.892 vs. 0.726, P = 0.002).

Conclusions

SMI can detect perfusion difference between normal and UDT in young children better than PDI.