超低剂量CT+1024矩阵+深度学习重建使肺穿刺辐射剂量降低约82%且图像质量具有非劣效性:一项非随机对照试验OA
Ultra-low-dose CT with 1024 matrix and deep learning reconstruction reduces radiation dose by approximately 82%with noninferior image quality:a non-randomized controlled trial
目的 针对CT引导下行经皮肺穿刺活检术中多次扫描导致辐射累积的问题,评估低剂量及超低剂量CT扫描采用1024×1024重建矩阵及深度学习图像重建算法对图像质量及辐射剂量的影响,探究该方案在满足穿刺定位需求前提下的临床可行性.方法 本研究为前瞻性非随机对照试验,于2025年4-12月在大连医科大学附属第一医院放射科连续纳入行CT引导下胸部穿刺活检的患者100例.穿刺过程中重复定位,常规剂量(CD)方案:管电压120 kV、管电流180 mA,512×512重建矩阵,ClearView算法60%(记为CD-CV60组);低剂量(LD)方案:管电压120 kV,自动管电流调制(O-Dose技术),预定义信噪比系数为1.0,1024×1024重建矩阵,ClearInfinity算法40%、60%、80%重建,分别记为LD-CI40、LD-CI60、LD-CI80组;超低剂量(ULD)方案:管电压120 kV,自动管电流调制(O-Dose技术),预定义信噪比系数为0.7,1024×1024重建矩阵,ClearInfinity算法40%、60%、80%重建,分别记为ULD-CI40、ULD-CI60和ULD-CI80组.除管电流及重建算法外,3种扫描方案的其余参数均一致.测量主动脉、胸壁脂肪的CT值及标准差(standard deviation,SD),计算信噪比(signal-to-noise ratio,SNR)、对比噪声比(contrast-to-noise ratio,CNR).采用Likert 5分法评估病灶边界辨识度、病灶成分密度均匀性、伪影程度.记录CT容积剂量指数(volume CT dose index,CTDIvol)和剂量长度乘积(dose-length product,DLP),计算有效辐射剂量(effective dose,ED)和体型特异性剂量估算值(size-specific dose estimate,SSDE).结果 2名医师对病灶边界辨识度、病灶成分密度均匀性和伪影程度评分的一致性良好,线性加权κ值分别为 0.801(95%CI:0.753~0.844)、0.758(95%CI:0.709~0.805)和 0.815(95%CI:0.768~0.859).CD、LD和ULD方案的CTDIvol 分别为11.13 mGy、3.98 mGy和2.01 mGy;DLP分别为389.55 mGy/cm、139.13 mGy/cm和70.35 mGy/cm;ED分别为5.45 mSv、1.95 mSv和0.98 mSv;SSDE分别为14.37 mGy、5.27 mGy和2.60 mGy.LD和ULD方案CTDIvol 较CD方案降低64.2%和81.9%,DLP降低64.2%和81.9%,ED降低64.2%和82.0%SSDE降低63.3%和81.9%.客观图像质量方面,随着ClearInfinity权重升高,LD和ULD方案的背景SD逐 渐 降 低,SNR、CNR总体升高.LD-CI60、LD-CI80、ULD-CI60和ULD-CI80的SNR、CNR均高于CD-CV60(P<0.05).主观图像质量方面,各个指标随ClearInfinity权重升高呈先升高后降低趋势.LD和ULD方案中,ClearInfinity 60%重建图像的3项主观评分,除LD-CI60病灶密度均匀性显著高于CD-CV60(P<0.05)外,LD-CI60、ULD-CI60其他各项指标评分均与CD-CV60差异无统计学意义,且高于同剂量方案内40%和80%权重重建图像(P<0.05).ULD-CI60组与CD-CI60组综合图像质量评分均值差为-0.002分(95%CI:-0.100~0.097),其95%CI下限高于预设非劣效界值-0.5分.术后33例患者(33.0%)发生并发症,其中单纯气胸14例(14.0%)、单纯肺出血12例(12.0%)、气胸合并肺出血7例(7.0%),未发生空气栓塞等严重并发症.结论 在CT引导经皮肺穿刺活检中,ULD-CI60组可在辐射剂量降低约81.9%的条件下获得满足穿刺定位和路径规划需求的图像质量.
Objective To address cumulative radiation exposure from repeated scans during CT-guided percutaneous lung biopsy,this study evaluated the impact of low-dose and ultra-low-dose CT combined with a 1024×1024 matrix and deep learning reconstruction algorithms on image quality and radiation dose,investigating the clinical feasibility of this protocol in meeting localization requirements for puncture procedures.Methods In this prospective non-randomized controlled trial,100 consecutive patients undergoing CT-guided thoracic biopsy were enrolled at the Department of Radiology,First Affiliated Hospital of Dalian Medical University,between April and December 2025.Multiple repeated localizations were performed during the procedure.The standard-dose(CD)protocol utilized 120 kV,180 mA,a 512×512 reconstruction matrix,and ClearView reconstruction at 60%strength(CD-CV60 group).Low-dose(LD)protocols employed 120 kV with automatic tube current modulation(O-Dose coefficient 1.0),a 1024×1024 matrix,and ClearInfinity reconstruction at 40%,60%,and 80%strength(LD-CI40,LD-CI60,LD-CI80 groups).Ultra-low-dose(ULD)protocols used 120 kV with automatic tube current modulation(O-Dose coefficient 0.7),a 1024×1024 matrix,and ClearInfinity reconstruction at 40%,60%,and 80%strength(ULD-CI40,ULD-CI60,ULD-CI80 groups);Except for the tube-current setting and reconstruction parameters,all other scanning parameters remained identical across protocols.CT attenuation values and standard deviation(SD)of the aorta and chest wall fat were measured to calculate signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR).Subjective image quality,including lesion margin delineation,homogeneity of lesion density,and artifact severity,was assessed using a 5-point Likert scale.Volume CT dose index(CTDIvol),dose-length product(DLP),effective dose(ED),and size-specific dose estimate(SSDE)were recorded.Results Interobserver agreement for lesion-margin delineation,lesion-density homogeneity,and artifact severity was good,with linearly weighted κ values of 0.801(95%CI:0.753 to 0.844),0.758(95%CI:0.709 to 0.805),and 0.815(95%CI:0.768 to 0.859),respectively.Mean CTDIvol for CD,LD,and ULD protocols were 11.13 mGy,3.98 mGy,and 2.01 mGy,respectively;the corresponding DLP values were 389.55,139.13,and 70.35 mGy/cm;the ED values were 5.45,1.95,and 0.98 mSv;and corresponding SSDE values were 14.37 mGy,5.27 mGy,and 2.60 mGy.Compared to the CD protocol,CTDIvol was reduced by 64.2%and 81.9%in the LD and ULD protocols,respectively,DLP was reduced by 64.2%and 81.9%,ED by 64.2%and 82.0%,and SSDE by 63.3%and 81.9%,respectively.Regarding objective quality,background SD progressively decreased with increasing ClearInfinity strength in LD and ULD protocols,whereas SNR and CNR generally increased.SNR and CNR in LD-CI60,LD-CI80,ULD-CI60,and ULD-CI80 groups were significantly higher than those in the CD-CV60 group(P<0.05).For subjective quality,most metrics initially improved then declined as ClearInfinity strength increased.Among LD and ULD protocols,images reconstructed with 60%ClearInfinity demonstrated superior subjective scores;notably,lesion density homogeneity in the LD-CI60 group was significantly higher than in CD-CV60(P<0.05),while other 60%reconstruction groups showed no statistically significant differences compared to CD-CV60.These 60%reconstruction images consistently outperformed their respective 40%and 80%counterparts within the same dose protocol(P<0.05).The mean difference in patient-level composite image-quality scores between the ULD-CI60 and CD-CV60 groups(ULD-CI60-CD-CV60)was-0.002 points(95%CI:-0.100 to 0.097),and the lower limit of the 95%CI was higher than the prespecified noninferiority margin of-0.5 points.Postoperative complications occurred in 33 patients(33.0%),comprising isolated pneumothorax(14 cases,14.0%),isolated pulmonary hemorrhage(12 cases,12.0%),and combined pneumothorax with hemorrhage(7 cases,7.0%);no severe complications such as air embolism occurred.Conclusion During CT-guided percutaneous lung biopsy,the ULD-CI60 protocol achieves image quality sufficient for puncture localization and path planning while reducing radiation dose by approximately 81.9%.
张文龙;苑竹青;王诗耕;姜健;陈东海;李雨桐;浦仁旺
大连医科大学附属第一医院放射科,辽宁大连大连医科大学附属第一医院放射科,辽宁大连大连医科大学附属第一医院放射科,辽宁大连大连医科大学附属第一医院放射科,辽宁大连大连医科大学附属第一医院放射科,辽宁大连东软医疗股份有限公司 CT 事业部,辽宁沈阳大连医科大学附属第一医院放射科,辽宁大连
医药卫生
深度学习重建超低剂量CT体层摄影术,X线计算机CT引导经皮肺穿刺活检图像质量
deep learning reconstructionultra-low-dose CTtomography,X-ray computedCT-guided percutaneous lung biopsyimage quality
《陆军军医大学学报》 2026 (16)
2335-2344,10
辽宁省教育厅高校基本科研项目(LJ212510161012) Supported by the Basic Scientific Research Project of Higher Education Institutions in Liaoning(LJ212510161012).
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