These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: Comparison of ZOOMit-DWI sequence and conventional DWI sequence in endometrial cancer. Author: Tang S, Fu C, Chen H, Xiao E, Long Y, Bian D. Journal: Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 Jan 28; 48(1):76-83. PubMed ID: 36935180. Abstract: OBJECTIVES: Magnetic resonance diffusion-weighted imaging (DWI) has important clinical value in diagnosis and curative effect evaluation on endometrial carcinoma. How to improve the detection rate of endometrial small lesions by DWI is the research focus of MRI technology. This study aims to analyze the image quality of small field MRI ZOOMit-DWI sequence and conventional single-shot echo-planar imaging (SS-EPI) DWI sequence in the scanning of endometrial carcinoma, and to explore the clinical value of ZOOMit-DWI sequence. METHODS: A total of 37 patients with endometrial carcinoma diagnosed by operation and pathology in the Second Xiangya Hospital of Central South University from July 2019 to May 2021 were collected. All patients were scanned with MRI ZOOMit-DWI sequence and SS-EPI DWI sequence before operation. Two radiologists subjectively evaluated the anatomical details, artifacts, geometric deformation and focus definition of the 2 groups of DWI images. At the same time, the signal intensity were measured and the signal-to-noise ratio (SNR), contrast to noise ratio (CNR), and apparent diffusion coefficient (ADC) of the 2 DWI sequences were calculated for objective evaluation. The differences of subjective score, objective score and ADC value of the 2 DWI sequences were analyzed. RESULTS: The SNR of the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (301.96±141.85 vs 94.66±41.26), and the CNR of the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (185.05±105.45 vs 57.91±31.54, P<0.05). There was no significant difference in noise standard deviation between the ZOOMit-DWI group and the SS-EPI DWI group (P>0.05). The subjective score of anatomical detail and focus definition in the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (both P<0.05). The subjective score of artifacts and geometric deformation of ZOOMit-DWI group was significantly lower than that of the SS-EPI DWI group (both P<0.05). ADC had no significant difference between the ZOOMit-DWI group and the SS-EPI DWI group (P>0.05). CONCLUSIONS: The image quality of ZOOMit-DWI is significantly higher than that of conventional SS-EPI DWI. In the MRI DWI examination of endometrial carcinoma, ZOOMit-DWI can effectively reduce the geometric deformation and artifacts of the image, which is more conducive to clinical diagnosis and treatment. 目的: 磁共振扩散加权成像(diffusion-weighted imaging,DWI)对子宫内膜癌的诊断和疗效评估具有重要的临床价值,如何提高DWI对子宫内膜微小病灶的检出率是目前MRI技术的研究热点。本研究旨在分析小视野MRI ZOOMit-DWI序列和常规单次激发平面回波成像(single-shot echo-planar imaging,SS-EPI)DWI序列在子宫内膜癌扫描中的图像质量,探讨ZOOMit-DWI序列的临床应用价值。方法: 收集2019年7月至2021年5月在中南大学湘雅二医院经手术病理确诊的37例子宫内膜癌患者,所有患者术前均行MRI ZOOMit-DWI序列和常规SS-EPI DWI序列扫描,由两名放射科医师分别对两组图像的解剖细节显示、伪影、几何变形程度、病灶清晰度进行主观评价;同时测量病灶等的信号强度并计算两种图像的信号噪声比(signal-to-noise ratio,SNR)、对比噪声比(contrast to noise ratio,CNR)和表观扩散系数(apparent diffusion coefficient,ADC)以进行客观评价,分析两组DWI序列的主观评分、客观评分及ADC的差异。结果: ZOOMit-DWI组的SNR显著高于SS-EPI DWI组(301.96±141.85 vs 94.66±41.26,P<0.05);ZOOMit-DWI组的CNR显著高于SS-EPI DWI组(185.05±105.45 vs 57.91±31.54,P<0.05);ZOOMit-DWI组的噪声标准差与SS-EPI DWI组比较,差异无统计学意义(P>0.05)。ZOOMit-DWI组主观评分中的解剖细节和病灶清晰度均显著高于SS-EPI DWI组(均P<0.05),伪影和几何变形均显著低于SS-EPI DWI组(均P<0.05)。ZOOMit-DWI组的ADC与SS-EPI DWI组比较差异无统计学意义(P>0.05)。结论: ZOOMit-DWI的图像质量明显高于常规SS-EPI DWI。在子宫内膜癌MRI DWI中,ZOOMit-DWI可以有效减少图像的几何变形和伪影,更有利于临床诊疗工作。. OBJECTIVE: Magnetic resonance diffusion-weighted imaging (DWI) has important clinical value in diagnosis and curative effect evaluation on endometrial carcinoma. How to improve the detection rate of endometrial small lesions by DWI is the research focus of MRI technology. This study aims to analyze the image quality of small field MRI ZOOMit-DWI sequence and conventional single-shot echo-planar imaging (SS-EPI) DWI sequence in the scanning of endometrial carcinoma, and to explore the clinical value of ZOOMit-DWI sequence. METHODS: A total of 37 patients with endometrial carcinoma diagnosed by operation and pathology in the Second Xiangya Hospital of Central South University from July 2019 to May 2021 were collected. All patients were scanned with MRI ZOOMit-DWI sequence and SS-EPI DWI sequence before operation. Two radiologists subjectively evaluated the anatomical details, artifacts, geometric deformation and focus definition of the 2 groups of DWI images. At the same time, the signal intensity were measured and the signal-to-noise ratio (SNR), contrast to noise ratio (CNR), and apparent diffusion coefficient (ADC) of the 2 DWI sequences were calculated for objective evaluation. The differences of subjective score, objective score and ADC value of the 2 DWI sequences were analyzed. RESULTS: The SNR of the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (301.96±141.85 vs 94.66±41.26), and the CNR of the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (185.05±105.45 vs 57.91±31.54, P<0.05). There was no significant difference in noise standard deviation between the ZOOMit-DWI group and the SS-EPI DWI group (P>0.05). The subjective score of anatomical detail and focus definition in the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (both P<0.05). The subjective score of artifacts and geometric deformation of ZOOMit-DWI group was significantly lower than that of the SS-EPI DWI group (both P<0.05). ADC had no significant difference between the ZOOMit-DWI group and the SS-EPI DWI group (P>0.05). CONCLUSION: The image quality of ZOOMit-DWI is significantly higher than that of conventional SS-EPI DWI. In the MRI DWI examination of endometrial carcinoma, ZOOMit-DWI can effectively reduce the geometric deformation and artifacts of the image, which is more conducive to clinical diagnosis and treatment.[Abstract] [Full Text] [Related] [New Search]