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使用智能检查方案实现亚毫西弗CT结肠成像以准确检测结直肠肿瘤:一项前瞻性自我对照研究

Achieving sub-millisievert CT colonography for accurate colorectal tumor detection using smart examination protocols: a prospective self-controlled study.

作者信息

Zhang Jingyi, Hu Mengting, Cheng Qiye, Wang Shigeng, Liu Yijun, Zhou Yujing, Li Jianying, Wei Wei

机构信息

First Affiliated Hospital of Dalian Medical University, Dalian, China.

CT Research, GE Healthcare, Dalian, Dalian, China.

出版信息

Abdom Radiol (NY). 2025 Mar;50(3):1079-1089. doi: 10.1007/s00261-024-04557-5. Epub 2024 Sep 14.

Abstract

PURPOSE

To assess the feasibility of combining Auto-kVp selection technique, higher preset ASIR-V and noise index (NI) to realize individualized sub-mSv CT colonography (CTC) for accurate colorectal tumor detection and localization.

METHODS

Ninety patients with suspected colorectal cancer (CRC) were prospectively enrolled to undergo standard dose CTC (SDCTC) in the prone and ultra-low dose CTC (ULDCTC) in the supine position. SDCTC used 120 kVp, preset ASIR-V of 30%, SmartmA for a NI of 13; ULDCTC used Auto-kVp selection technique with 80 or 100 kVp, preset ASIR-V of 60%, SmartmA for a NI of 13 for 80 kVp, and NI of 15 for 100 kVp. The effective dose (ED), image quality [signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of colorectal neoplasms] between the two protocols were compared and the accuracies of tumor locations were evaluated for CTC in comparison with the surgery results.

RESULTS

The mean ED of the ULDCTC-80 kVp subgroup was 0.70 mSv, 71.43% lower than the 2.45 mSv for the 120 kVp group, while that of the ULDCTC-100 kVp subgroup was 0.98 mSv, 73.00% lower than the 3.63 mSv for the 120 kVp group (P < 0.001). The tumor SNR and CNR of the ULDCTC were higher than those of SDCTC (P < 0.05), while there was no difference in the subjective image quality between them with good inter-observer agreement (Kappa: 0.805-0.923). Both SDCTC and ULDCTC groups had high detection rate of colorectal tumors, along with good consistency in determining tumor location compared with surgery reports (Kappa: 0.718-0.989).

CONCLUSION

The combination of Auto-kVp selection, higher preset ASIR-V and NI achieves individualized sub-mSv CTC with good performance in detecting and locating CRC with surgery and consistent results between SDCTC and ULDCTC.

摘要

目的

评估结合自动管电压选择技术、更高的预设自适应统计迭代重建-血管造影(ASIR-V)和噪声指数(NI)以实现个体化亚毫希沃特CT结肠成像(CTC)用于准确检测和定位结直肠肿瘤的可行性。

方法

前瞻性纳入90例疑似结直肠癌(CRC)患者,使其在俯卧位接受标准剂量CTC(SDCTC),在仰卧位接受超低剂量CTC(ULDCTC)。SDCTC使用120 kVp,预设ASIR-V为30%,采用智能管电流调制(SmartmA)使NI为13;ULDCTC使用自动管电压选择技术,管电压为80或100 kVp,预设ASIR-V为60%,管电压80 kVp时采用SmartmA使NI为13,管电压100 kVp时NI为15。比较两种方案之间的有效剂量(ED)、图像质量[结直肠肿瘤的信噪比(SNR)和对比噪声比(CNR)],并将CTC的肿瘤定位准确性与手术结果进行比较评估。

结果

ULDCTC-80 kVp亚组的平均ED为0.70 mSv,比120 kVp组的2.45 mSv低71.43%,而ULDCTC-100 kVp亚组的平均ED为0.98 mSv,比120 kVp组的3.63 mSv低73.00%(P<0.001)。ULDCTC的肿瘤SNR和CNR高于SDCTC(P<0.05),而两者之间主观图像质量无差异,观察者间一致性良好(Kappa值:0.805 - 0.923)。SDCTC组和ULDCTC组对结直肠肿瘤的检出率均较高,与手术报告相比,在确定肿瘤位置方面具有良好的一致性(Kappa值:0.718 - 0.989)。

结论

自动管电压选择、更高的预设ASIR-V和NI相结合可实现个体化亚毫希沃特CTC,在检测和定位CRC方面表现良好,与手术结果一致,且SDCTC和ULDCTC之间结果相符。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f6/11821708/fa8ce3e787ff/261_2024_4557_Fig1_HTML.jpg

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