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基于最优图谱分割算法的CT图像在儿童支原体肺炎临床诊断中的应用

Application of CT images based on the optimal atlas segmentation algorithm in the clinical diagnosis of Mycoplasma Pneumoniae Pneumonia in Children.

作者信息

Fu Xilin, Yang Ningfei, Ji Jianwei

机构信息

Xilin Fu, Attending Physician, Department of Pediatrics, Yiwu Central Hospital, Yiwu, 322000, China.

Ningfei Yang, Attending Physician, Department of Pediatrics, Yiwu Central Hospital, Yiwu, 322000, China.

出版信息

Pak J Med Sci. 2021;37(6):1647-1651. doi: 10.12669/pjms.37.6-WIT.4860.

DOI:10.12669/pjms.37.6-WIT.4860
PMID:34712299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8520366/
Abstract

OBJECTIVE

Use of optimal Atlas segmentation algorithm to study the imaging signs of mycoplasma pneumonia with multi-slice spiral CT (HRCT), and to explore the value of HRCT in the diagnosis and efficacy in evaluation of mycoplasma pneumonia in children.

METHODS

The study retrospectively analyzed 72 patients diagnosed with mycoplasma pneumonia in our hospital from January 2017 to January 2019. The imaging data and clinical data of 72 patients were collected. The optimal Atlas segmentation algorithm was used to analyze the characteristics of CT examination, and the value of CT in the diagnosis of mycoplasma pneumonia and the evaluation of curative effect was summarized.

RESULTS

Among all patients, 37 cases were unilateral lesions, 35 cases were bilateral lesions, 19 cases were in the left upper lobe, 24 cases were in the left lower lobe, 21 cases were in the right upper lobe, 13 cases were in the right middle lobe, 25 The lesion was located in the right lower lobe. The main CT findings of the lesions before treatment were large patchy, spot-shaped shadows, and strip-shaped or ground-glass shadows. After treatment, the main CT findings of the lesions were reduced lesion density and reduced lesion range.

CONCLUSION

CT can clearly show the pulmonary lesions of mycoplasma pneumonia, and its unique imaging signs can improve the clinical diagnosis accuracy. In addition, CT scans can evaluate the treatment effect according to the changes in the characteristics of the lesion, which has important value for the evaluation of the effect for clinical diagnosis and efficacy evaluation of mycoplasma pneumonia.

摘要

目的

运用最佳图谱分割算法,通过多层螺旋CT(HRCT)研究支原体肺炎的影像学征象,探讨HRCT在儿童支原体肺炎诊断及疗效评估中的价值。

方法

回顾性分析2017年1月至2019年1月我院确诊的72例支原体肺炎患者。收集72例患者的影像资料和临床资料。运用最佳图谱分割算法分析CT检查特征,总结CT在支原体肺炎诊断及疗效评估中的价值。

结果

所有患者中,单侧病变37例,双侧病变35例;左上叶19例,左下叶24例,右上叶21例,右中叶13例,右下叶25例。治疗前病变的主要CT表现为大片状、斑片状阴影及条索状或磨玻璃样阴影。治疗后病变的主要CT表现为病变密度减低、范围缩小。

结论

CT能清晰显示支原体肺炎的肺部病变,其独特的影像学征象可提高临床诊断准确性。此外,CT扫描可根据病变特征变化评估治疗效果,对支原体肺炎的临床诊断及疗效评估具有重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/315c/8520366/fcd39bfe644b/PJMS-37-1647-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/315c/8520366/fcd39bfe644b/PJMS-37-1647-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/315c/8520366/fcd39bfe644b/PJMS-37-1647-g009.jpg

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