3D SPACE序列可获得高信号比、高分辨率图像,提高直肠癌T分期的准确率,尤其对早期直肠癌的诊断有优势。
Abstract
Objective:
To analyze the diagnostic value of MRI with 3D sampling perfection with application optimized contrasts using different flip angle evolution (3D SPACE) sequence in T staging of rectal cancer.
Methods:
A total of 178 rectal cancer patients who received surgical resection without neoadjuvant therapy in Fudan University Shanghai Cancer Center between December 2015 and November 2016 were selected.
Among them
107 patients underwent primary MRI with high-resolution T2WI sequence
and 71 patients underwent MRI with 3D SPACE T2WI sequence. The patients received operation in two weeks. The MRI results of T staging were compared with pathological results. The sensitivity
specificity and accuracy were evaluated.
Results:
The overall accuracy of T staging was 75.7% using high-resolution T2WI
83.0% using 3D SPACE. The accuracies of T1 and T2 staging diagnosed by 3D SPACE were higher than those by high-resolution T2WI (T1: 98.6%
vs
. 88.8%; T2: 87.3%
vs
. 75.7%). The accuracy was the same for T3 staging (85.9%
vs
. 86.0%). There were no obvious advantages for T4 staging using 3D SPACE.
Conclusion:
3DSPACE sequence can obtain high signal intensity ratio and high resolution of images
and has advantages for early T staging of rectal cancer.
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High resolution T2WI image-based radiomics nomogram for prediction of perineural invasion in rectal cancer
Prediction of pathological nodal stage after neoadjuvant chemoradiotherapy by using the interaction between tumor features and lymph node features from pretreatment MRI in rectal cancer
Research progress of quantitative assessment of MRI and radiomics for lymph node metastasis of rectal cancer
Related Author
Lu LI
Wen BU
Qiaoyu SUN
Wei WANG
Yuwen ZHANG
Haidong JIANG
Aiqi CHEN
Junjie SHEN
Related Institution
Department of Radiology, The First Affiliated Hospital of Bengbu Medical University
Department of Radiology, Affiliated Tumor Hospital of Nantong University
Department of Pathology, Affiliated Tumor Hospital of Nantong University
GE Healthcare
Department of Radiology, Peking University Cancer Hospital