The value of textural-analysis of PET/CT and multiparametric magnetic resonance imaging in the diagnosis of transition zone prostatic tumour

LIU Chunli; SHI Huazheng; LIU Mengling; LI Xiaoxiao; ZHANG Wenrui; SUN Jian

doi:10.19732/j.cnki.2096-6210.2020.01.002

您当前的位置：

首页 >

文章列表页 >

The value of textural-analysis of PET/CT and multiparametric magnetic resonance imaging in the diagnosis of transition zone prostatic tumour

更新时间：2025-12-15

- The value of textural-analysis of PET/CT and multiparametric magnetic resonance imaging in the diagnosis of transition zone prostatic tumour
- Vol. 29, Issue 1, Pages: 6-10(2020)
- 作者机构：
  
  1. 上海市全景医学影像诊断（徐汇）中心 PET/CT 室,上海,200233
  2. 上海市全景医学影像诊断（虹口）中心 PET/CT 室,上海,200437
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2020.01.002
  CLC：
- Published Online：28 February 2020，
  
  Published：28 February 2020
- 稿件说明：
移动端阅览
刘春利,石华铮,刘梦苓,等. PET/CT和多参数磁共振成像图像纹理分析诊断移行带前列腺癌的价值[J]. 肿瘤影像学, 2020, 29(1): 6-10 https://doi.

org/10.19732/j.cnki.2096-6210.2020.01.002
刘春利,石华铮,刘梦苓,等. PET/CT和多参数磁共振成像图像纹理分析诊断移行带前列腺癌的价值[J]. 肿瘤影像学, 2020, 29(1): 6-10 https://doi. DOI： 10.19732/j.cnki.2096-6210.2020.01.002.

org/10.19732/j.cnki.2096-6210.2020.01.002 DOI：

摘要

目的：

探讨运用纹理分析方法分析PET/CT和多参数磁共振成像（magnetic resonance imaging，MRI）图像检出移行带前列腺癌的价值。

方法：

分析36例移行带前列腺癌患者的

F-FDG PET/CT图像和T1WI、T2WI和扩散加权成像（diffusion-weighted imaging，DWI）图像肿瘤区域和非肿瘤区域的图像纹理。运用t检验或非参数Mann-Whitney U检验比较上述区域图像纹理特征的差异；用受试者工作特征（receiver operating characteristic，ROC）曲线分析方法分别评价各参数检出移行带前列腺癌的效率，用曲线下面积（area under curve，AUC）表示。

结果：

肿瘤区PET/CT和DWI图像的均值（分别为167.517.1和76.818.3）高于非肿瘤区（分别为115.315.8和54.610.8），差异均有统计学意义（

均＜0.001）；肿瘤区T1WI图像偏度（0.1660.447）大于非肿瘤区［-（0.1880.433），

=0.030］。联合上述3项指标，检出肿瘤的灵敏度为100.0%，特异度为93.7%，AUC为0.992（95% CI：0.972~1.000）。

结论：

基于PET/CT和多参数MRI图像纹理分析可为移行带前列腺癌的有效检出提供可靠的客观依据。

Abstract

Objective:

To evaluate the value of histogram textural-analysis of PET/CT and multiparametric magnetic resonance imaging in the diagnosis of transition zone prostatic tumour.

Methods:

Thirty-six patients with transition zone prostatic tumour were enrolled in the study.

F-FDG PET/CT

T1WI

T2WI and DWI imag

es were available for histogram texture analysis. The differences of the image texture of tumour and non-tumour transition zone were analyzed by t test or Mann-Whitney U test. Diagnostic accuracy was assessed by the analysis of area under curve (AUC) of receiver operating characteristic (ROC) curve.

Results:

The mean of PET/CT and DWI

the skewness of T1WI were significantly higher in tumour (167.517.1

76.818.3

0.1660.447

respectively) than in non-tumour transition zone (115.315.8

54.610.8

-0.1880.433

respectively) (all

＜0.05). Combining these parameters

AUC was 0.992 (95% CI: 0.972-1.000) with 100.0% sensitivity and 93.7% specificity.

Conclusion:

Texture-based detection of transition zone prostatic tumour is feasible on PET/CT and multiparametric MRI.

关键词

Keywords

references

Views

1720

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

The value of transrectal ultrasound fusion with mpMRI navigation combined with elastography-guided targeted prostate biopsy

A study on the quality of T2-weighted FatSat images of prostate and its diagnostic value based on deep learning reconstruction technology

Diagnostic efficiency and inter-observer agreement among readers with variable experience of PI-RR system: using whole-mount histology after androgen deprivation therapy as reference

The value of quantitative parameters of amide proton transfer imaging in predicting bone metastasis of prostate

Comparison of ¹⁸ F-PSMA-1007 PET/CT and mpMRI in the detection and intraprostatic localization of primary prostate cancer

Related Author

Anyu LI

Zheng ZHU

Qi MA

Shijie DONG

Xiaoxin HU

Xiaohang LIU

Tianwen XIE

Bingni ZHOU

Related Institution

Department of Ultrasound, Soochow University Affiliated Taicang First People's Hospital

Department of Ultrasound, The Second Affiliated Hospital of Soochow University

Department of Radiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University

Department of Radiology, Shanghai Geriatric Medical Center

Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

AI问答

⁰