利用智能检查方案实现亚毫秒级 CT 结肠成像,准确检测结直肠肿瘤:一项前瞻性自我对照研究

IF 2.3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jingyi Zhang, Mengting Hu, Qiye Cheng, Shigeng Wang, Yijun Liu, Yujing Zhou, Jianying Li, Wei Wei
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引用次数: 0

摘要

目的评估结合自动kVp选择技术、较高的预设ASIR-V和噪声指数(NI)实现个体化亚毫西弗CT结肠成像(CTC)以准确检测和定位结直肠肿瘤的可行性。方法对90例疑似结直肠癌(CRC)患者进行前瞻性入组,分别采用俯卧位标准剂量CTC(SDCTC)和仰卧位超低剂量CTC(ULDCTC)。SDCTC 使用 120 kVp,预设 ASIR-V 为 30%,SmartmA 的 NI 为 13;ULDCTC 使用 80 或 100 kVp 的自动 kVp 选择技术,预设 ASIR-V 为 60%,SmartmA 80 kVp 的 NI 为 13,100 kVp 的 NI 为 15。比较了两种方案的有效剂量(ED)、图像质量[结直肠肿瘤的信噪比(SNR)和对比信噪比(CNR)],并将 CTC 与手术结果进行比较,评估了肿瘤位置的准确性。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 均高于 SDCTC(P < 0.05),而两者的主观图像质量无差异,观察者之间的一致性良好(Kappa:0.805-0.923)。结论自动 kVp 选择、较高的预设 ASIR-V 和 NI 的组合实现了个体化的亚毫西弗 CTC,在检测和定位 CRC 与手术方面表现良好,SDCTC 和 ULDCTC 的结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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来源期刊
Abdominal Radiology
Abdominal Radiology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.20
自引率
8.30%
发文量
334
期刊介绍: Abdominal Radiology seeks to meet the professional needs of the abdominal radiologist by publishing clinically pertinent original, review and practice related articles on the gastrointestinal and genitourinary tracts and abdominal interventional and radiologic procedures. Case reports are generally not accepted unless they are the first report of a new disease or condition, or part of a special solicited section. Reasons to Publish Your Article in Abdominal Radiology: · Official journal of the Society of Abdominal Radiology (SAR) · Published in Cooperation with: European Society of Gastrointestinal and Abdominal Radiology (ESGAR) European Society of Urogenital Radiology (ESUR) Asian Society of Abdominal Radiology (ASAR) · Efficient handling and Expeditious review · Author feedback is provided in a mentoring style · Global readership · Readers can earn CME credits
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