Artificial intelligence iterative reconstruction for preoperative low-dose CT of ovarian tumor
10.13929/j.issn.1003-3289.2025.04.007
- VernacularTitle:深度学习全模型迭代算法用于卵巢肿瘤术前低剂量CT
- Author:
Xiaojia CAI
1
;
Jintao HAN
;
Jing LIU
;
Fan YANG
;
Qi WANG
;
Ruxun LI
Author Information
1. 河北医科大学第四医院CT磁共振科,河北 石家庄 050011
- Publication Type:Journal Article
- Keywords:
ovarian neoplasms;
artificial intelligence;
radiation dosage;
tomography,X-ray computed;
prospective studies
- From:
Chinese Journal of Medical Imaging Technology
2025;41(4):539-542
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of artificial intelligence iterative reconstruction(AIIR)in preoperative low-dose CT of ovarian tumor.Methods Seventy patients with ovarian tumor were prospectively enrolled.Routine-dose(120 kVp,200 mAs)and low-dose(120 kVp,40 mAs)contrast-enhanced abdominopelvic CT scanning at portal venous phase were sequentially performed.The routine-dose images were reconstructed with hybrid iterative reconstruction(HIR)(group A),while low-dose images were reconstructed with HIR(group B)and AIIR(group C),respectively.Subjective and objective evaluation of image quality were compared among groups,and the diagnostic accuracy of peripheral organ invasion and peritoneal metastasis based on group A,B and C,as well as radiation dose of routine-and low-dose scanning were recorded.Results In group B,A and C,the subjective scoring of definition of tumor margin and septation,boundary between tumor and surrounding organ,as well as the signal-to-noise ratio and contrast-to-noise ratio of ovarian tumor and psoas muscles,increased successively(all P＜0.017).No significant difference of subjective scoring of tumor feeding vessel clarity was found between group A and C(P=0.435),which were both higher than that in group B(P＜0.017).The accuracy for diagnosing peripheral organ invasion based on group A,B and C was 83.87％ (52/62),72.58％ (45/62)and 83.87％ (52/62),for diagnosing peritoneal metastasis was 85.71％ (60/70),78.57％ (55/70)and 84.29％ (59/70),respectively.Compared to routine-dose CT,the effective dose of low-dose CT was reduced by 79.70％ (2.60 mSv vs.12.81 mSv,P＜0.001).Conclusion AIIR could improve image quality and metastasis diagnostic efficacy in low-dose CT of ovarian tumors.
