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低剂量术前卵巢肿瘤CT联合人工智能迭代重建技术在诊断腹膜侵犯、淋巴结及肝转移中的应用价值

The utility of low-dose pre-operative CT of ovarian tumor with artificial intelligence iterative reconstruction for diagnosing peritoneal invasion, lymph node and hepatic metastasis.

作者信息

Cai Xiaojia, Han Jintao, Zhou Wanhui, Yang Fan, Liu Jing, Wang Qi, Li Ruxun

机构信息

Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

United Imaging Healthcare, Shanghai, China.

出版信息

Abdom Radiol (NY). 2025 May 13. doi: 10.1007/s00261-025-04977-x.

Abstract

PURPOSE

Diagnosis of peritoneal invasion, lymph node metastasis, and hepatic metastasis is crucial in the decision-making process of ovarian tumor treatment. This study aimed to test the feasibility of low-dose abdominopelvic CT with an artificial intelligence iterative reconstruction (AIIR) for diagnosing peritoneal invasion, lymph node metastasis, and hepatic metastasis in pre-operative imaging of ovarian tumor.

METHODS

This study prospectively enrolled 88 patients with pathology-confirmed ovarian tumors, where routine-dose CT at portal venous phase (120 kVp/ref. 200 mAs) with hybrid iterative reconstruction (HIR) was followed by a low-dose scan (120 kVp/ref. 40 mAs) with AIIR. The performance of diagnosing peritoneal invasion and lymph node metastasis was assessed using receiver operating characteristic (ROC) analysis with pathological results serving as the reference. The hepatic parenchymal metastases were diagnosed and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured. The perihepatic structures were also scored on the clarity of porta hepatis, gallbladder fossa and intersegmental fissure.

RESULTS

The effective dose of low-dose CT was 79.8% lower than that of routine-dose scan (2.64 ± 0.46 vs. 13.04 ± 2.25 mSv, p < 0.001). The low-dose AIIR showed similar area under the ROC curve (AUC) with routine-dose HIR for diagnosing both peritoneal invasion (0.961 vs. 0.960, p = 0.734) and lymph node metastasis (0.711 vs. 0.715, p = 0.355). The 10 hepatic parenchymal metastases were all accurately diagnosed on the two image sets. The low-dose AIIR exhibited higher SNR and CNR for hepatic parenchymal metastases and superior clarity for perihepatic structures.

CONCLUSION

In low-dose pre-operative CT of ovarian tumor, AIIR delivers similar diagnostic accuracy for peritoneal invasion, lymph node metastasis, and hepatic metastasis, as compared to routine-dose abdominopelvic CT. It is feasible and diagnostically safe to apply up to 80% dose reduction in CT imaging of ovarian tumor by using AIIR.

摘要

目的

在卵巢肿瘤治疗的决策过程中,诊断腹膜侵犯、淋巴结转移和肝转移至关重要。本研究旨在测试低剂量腹盆腔CT联合人工智能迭代重建(AIIR)在卵巢肿瘤术前成像中诊断腹膜侵犯、淋巴结转移和肝转移的可行性。

方法

本研究前瞻性纳入88例经病理证实的卵巢肿瘤患者,先行门静脉期常规剂量CT(120 kVp/参考200 mAs)联合混合迭代重建(HIR),随后行低剂量扫描(120 kVp/参考40 mAs)联合AIIR。以病理结果为参照,采用受试者操作特征(ROC)分析评估诊断腹膜侵犯和淋巴结转移的性能。诊断肝实质转移并测量信噪比(SNR)和对比噪声比(CNR)。还对肝门、胆囊窝和肝段间裂的清晰度对肝周结构进行评分。

结果

低剂量CT的有效剂量比常规剂量扫描低79.8%(2.64±0.46 vs. 13.04±2.25 mSv,p<0.001)。低剂量AIIR在诊断腹膜侵犯(0.961 vs. 0.960,p = 0.734)和淋巴结转移(0.711 vs. 0.715,p = 于常规剂量HIR的ROC曲线下面积(AUC)相似。在两组图像上均准确诊断出10例肝实质转移。低剂量AIIR对肝实质转移表现出更高的SNR和CNR,对肝周结构的清晰度更高。

结论

在卵巢肿瘤低剂量术前CT中,与常规剂量腹盆腔CT相比,AIIR在诊断腹膜侵犯、淋巴结转移和肝转移方面具有相似的诊断准确性。在卵巢肿瘤CT成像中使用AIIR将剂量降低高达80%是可行且诊断安全的。

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