Qualitative diagnosis for parotid gland tumor based on magnetic resonance imaging and color Doppler flow imaging using decision tree

YANG Jing; WANG You

doi:10.14188/j.1671-8852.2023.0198

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Qualitative diagnosis for parotid gland tumor based on magnetic resonance imaging and color Doppler flow imaging using decision tree

更新时间：2026-11-05

- Qualitative diagnosis for parotid gland tumor based on magnetic resonance imaging and color Doppler flow imaging using decision tree
- Medical Journal of Wuhan University Vol. 46, Issue 9, Pages: 1155-1160(2025)
- 作者机构：
  
  1.襄阳市中心医院整形美容科湖北襄阳 441000
  2.武汉大学中南医院口腔科湖北武汉 430071
- 作者简介：
- 基金信息：
- DOI：10.14188/j.1671-8852.2023.0198
  CLC： R739.8
- Received：26 March 2023，
  
  Published：26 September 2025
- 稿件说明：
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杨靖,王优.磁共振联合彩色多普勒血流成像构建决策树模型对腮腺肿瘤的定性诊断[J].武汉大学学报（医学版）,2025,46(09):1155-1160.

YANG Jing,WANG You.Qualitative diagnosis for parotid gland tumor based on magnetic resonance imaging and color Doppler flow imaging using decision tree[J].Medical Journal of Wuhan University,2025,46(09):1155-1160.
杨靖,王优.磁共振联合彩色多普勒血流成像构建决策树模型对腮腺肿瘤的定性诊断[J].武汉大学学报（医学版）,2025,46(09):1155-1160. DOI： 10.14188/j.1671-8852.2023.0198.

YANG Jing,WANG You.Qualitative diagnosis for parotid gland tumor based on magnetic resonance imaging and color Doppler flow imaging using decision tree[J].Medical Journal of Wuhan University,2025,46(09):1155-1160. DOI： 10.14188/j.1671-8852.2023.0198.

摘要

目的

基于磁共振成像(MRI)及彩色多普勒血流成像(CDFI)建立决策树模型，并探讨其对腮腺肿瘤的定性诊断价值。

方法

对襄阳市中心医院和武汉大学中南医院2016年1月至2022年6月诊治的155例腮腺肿瘤(恶性肿瘤50例、多形性腺瘤68例、腺淋巴瘤37例)进行回顾性分析；对比分析不同腮腺肿瘤的MRI各常规征象及CDFI分级，并进一步建立决策树模型。

结果

腮腺恶性肿瘤，表现为病灶形态更不规整70%(35/50)、跨叶54%(27/50)、边缘模糊80%(40/50)、包绕下颌后静脉66%(33/50)，且CDFI级别较高，以Ⅲ级为主80%(40/50)。而腮腺良性肿瘤(多形性腺瘤、腺淋巴瘤)，病灶形态多呈类圆形[分别为80.9% (55/68)、81.1%(30/37)]、跨叶少见[10.3%(7/68)、54%(27/37)]、边缘清晰[分别为92.6% (63/68)、81.1%(30/37)]、较少包绕下颌后静脉[分别为7.4%(5/68)、18.9%(7/37)]

且CDFI级别较低，以0~Ⅰ级为主。此外，腺淋巴瘤多存在T2WI低信号裂隙征94.6%(35/37)；而多形性腺瘤以及恶性肿瘤该征象少见[分别为7.4%(5/68)、16.0%(7/50)]。基于MRI及CDFI构建的决策树模型显示，CDFI及T2WI低信号裂隙征为模型的决策节点，对腮腺肿瘤的定性诊断有较高的准确度。

结论

腮腺恶性肿瘤、多形性腺瘤以及腺淋巴瘤在MRI及CDFI上有其特征性影像表现，基于CDFI及T2WI裂隙征构建的决策树模型能够有效实现腮腺肿瘤的定性诊断，有助于临床决策。

Abstract

Objective

To establish a decision tree model based on magnetic resonance imaging (MRI) and color Doppler flow imaging (CDFI)

and to explore its value in the qualitative diagnosis of parotid tumors.

Methods

In this retrospective study

we analyzed 155 parotid gland tumors (50 malignant tumors

68 pleomorphic adenomas

and 37 adenolymphomas) between January 2016 and June 2022. We analyzed the MRI features and CDFI grades of different parotid tumors and established the decision tree model.

Results

For malignant tumors of the parotid gland

70%(35/50) of the lesions were irregular

54%(27/50) were trans‑lobular

80%(40/50) were blurred

66%(33/50) were surrounded by retromandibular vein

and the CDFI grade was higher

with 80% (16/20) cases in grade Ⅲ. For benign tumors of the parotid gland (pleomorphic adenoma and adenolymphoma)

the lesions were mostly round (80.9% (55/68) for pleomorphic adenoma and 81.1% (30/37) for adenolymphoma)

rarely trans⁃lobular (10.3% (7/68) for pleomorphic adenoma and 54% (27/37) for adenolymphoma)

with clear margins (92.6% (63/68) for pleomorphic adenoma and 81.1% (30/37) for adenolymphoma)

and less commonly surrounding the posterior mandibular vein (7.4% (5/68) for pleomorphic adenoma and 18.9% (7/37) for adenolymphoma). The CDFI grade of benign tumors was lower

mainly in grade 0 to Ⅰ. In addition

94.6%(35/37) of adenolymphoma patients had T2WI low signal fissure sign; pleomorphic adenoma and malignant tumor were rare (7.4%(5/68) and 16.0%(7/50)

respectively). The decision tree model based on MRI and CDFI showed that CDFI and T2WI low signal fissure sign were the predictors of the model

which had high accuracy in the qualitative diagnosis of parotid gland tumor.

Conclusion

Parotid malignant tumor

pleomorphic adenoma

and adenolymphoma have their characteristic imaging manifestations on MRI and CDFI. The decision tree model based on CDFI and T2WI low signal fissure signs can effectively improve the qualitative diagnosis of parotid tumors

which is helpful for clinical decision‑making.

关键词

Keywords

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