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

Author:

Zhang Jingyi1,Hu Mengting1,Cheng Qiye1,Wang Shigeng1,Liu Yijun1,Zhou Yujing1,Li Jianying2,Wei Wei1

Affiliation:

1. First Affiliated Hospital of Dalian Medical University

2. CT Research, GE Healthcare, Dalian

Abstract

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 80 kVp subgroup was 0.70mSv, 71.43% lower than the 2.45mSv for the 120kVp group, while that of the 100 kVp subgroup was 0.98mSv, 73.00% lower than the 3.63mSv 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.

Publisher

Springer Science and Business Media LLC

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