Ultrasonic feature and misdiagnosis of nodular fasciitis

HUANG Jing; GUO Xiaohong; LI Kunping; ZHANG Heng; XIE Wenjie

doi:10.19732/j.cnki.1008-617X.2018.04.016

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Ultrasonic feature and misdiagnosis of nodular fasciitis

更新时间：2025-12-15

- Ultrasonic feature and misdiagnosis of nodular fasciitis
- Vol. 27, Issue 4, Pages: 329-331(2018)
- 作者机构：
  
  1. 珠海市人民医院超声科,广东,珠海,519000
  2. 珠海市人民医院病理科,广东,珠海,519000
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.1008-617X.2018.04.016
  CLC：
- Published Online：17 September 2018，
  
  Published：17 September 2018
- 稿件说明：
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黄静,郭晓红,李昆萍,等. 结节性筋膜炎超声声像图特征及误诊分析[J]. 肿瘤影像学, 2018, 27(4): 329-331 https://doi.

org/10.19732/j.cnki.1008-617X.2018.04.016
黄静,郭晓红,李昆萍,等. 结节性筋膜炎超声声像图特征及误诊分析[J]. 肿瘤影像学, 2018, 27(4): 329-331 https://doi. DOI： 10.19732/j.cnki.1008-617X.2018.04.016.

org/10.19732/j.cnki.1008-617X.2018.04.016 DOI：

摘要

目的：

探讨结节性筋膜炎的超声声像图特征，总结误诊原因及防范对策。

方法：

对经手术后病理证实的10例结节性筋膜炎临床资料进行回顾性分析。

结果：

10例结节性筋膜炎中，术前超声误诊率为70%。共计病灶12个，其中皮下型10个。声像学表现可分为低回声型（9/12）和不均匀回声型（3/12），病灶形态规则，边界欠清，后方回声增强，8个病灶可检测到血流信号。

结论：

加强对结节性筋膜炎超声特征的认识，结合临床资料，可提高超声诊断符合率。

Abstract

Objective:

To analyze the ultrasonic feature of nodular fasciitis and to summary the reasons for misdiagnosis and how to avoid misdiagnosis.

Methods:

The clinical data of 10 cases of nodular fasciitis confirmed by pathology were retrospectively analyzed.

Results:

The preoperative misdiagnosis rate of ultrasonography was 70%. There were 12 lesions in the 10 cases

and 10 were located subcutaneously. The ultrasonograms were classified into hypoecho type (9/12) and uneven echo type (3/12). Most nodular fasciitis appeared regular morphology

unclear boundary

and posterior enhancement. Blood flow signals were detected in 8 lesions.

Conclusion:

The understanding of ultrasonic characteristics of nodular fasciitis should be strengthened and close combination with the clinic can improve

the diagnostic coincidence rate.

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Department of Medical Imaging, Northern Jiangsu People&rsquo

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Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University

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