回顾性分析经病理确诊的宫颈癌患者20例,接受同步放化疗前后进行PWI扫描,以肿块强化最明显处作为感兴趣区,生成时间-强度曲线(time-intensity curve,TIC),并测量强化峰值(peak height,PH)、最大上升斜率(maximum slope of increase,MSI)及达峰时间(time to peak,TTP)。分析治疗前后各项灌注参数的变化。
To study the differences and relationship of perfusion-weighted imaging (PWI) between pre- and post-concurrent chemoradiotherapy of cervical cancer.
Methods:
Twenty patients with cervical cancer confirmed by pathology were retrospectively analyzed. All the patients underwent PWI before and after concurrent chemoradiotherapy. The most enhanced region of tumor was selected as region of interest (ROI). The time-intensity curve
(TIC) was made
then peak height (PH)
maximum slope of increase (MSI)
and time to peak (TTP) were analyzed.
Results:
After concurrent chemoradiotherapy
PH and MSI were decreased (399.0545.39
vs
. 278.3235.09
38.572.77
vs
. 19.552.49;
P
=0.000 and 0.000)
and TTP was prolonged (40.494.18
vs
. 66.155.11
P
=0.000). PH and MSI in the effective treatment group were higher than those in the ineffective treatment group (411.7943.40
vs
. 360.8027.44
39.532.27
vs
. 35.692.16;
P
=0.025 and 0.004).
Conclusion:
PWI is valuable in the evaluation and prediction of the efficacy of concurrent chemoradiotherapy of cervical cancer. It can provide functional evaluation besides morphology.
Prediction of outcomes in patients with locally advanced cervical cancer after concurrent chemoradiotherapy based on machine learning-based radiomics
The application value of CEUS time-intensity curve quantitative model in cervical cancer concurrent chemoradiotherapy
Construction of a prognostic nomogram model for cervical cancer patients based on color Doppler ultrasound parameters and serological indicators
Value on DWI combined with serum miR-375 level in the evaluation of long-term lymph node metastasis in patients with cervical cancer after laparoscopic hysterectomy
Application of transvaginal ultrasonography in the diagnosis of parametrial invasion in cervical cancer
Related Author
Jiehui Li
Shisheng XU
Meng LI
TANG Xiuliang
MIAO Qing
YANG Bin nbsp
Yihong LIU
Ri’an PAN
Related Institution
Department of Oncology, Qingdao Municipal Hospital
Division of Oncology Teaching and Research, School of Clinical Medicine, Guizhou Medical University
Department of Oncology, Guizhou Medical University Affiliated Cancer Hospital
Department of Oncology, Affiliated Hospital of Guizhou Medical University
Jinling Clinical Medical College, Nanjing Medical University