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首页> 外文期刊>Journal of radiation research >The clinical application of 4D 18F-FDG PET/CT on gross tumor volume delineation for radiotherapy planning in esophageal squamous cell cancer
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The clinical application of 4D 18F-FDG PET/CT on gross tumor volume delineation for radiotherapy planning in esophageal squamous cell cancer

机译:4D 18F-FDG PET / CT在食管鳞状细胞癌放疗计划总肿瘤体积描绘中的临床应用

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This study was a prospective analysis, approved by the local institutional review board (DMR98-IRB-171), of 4D-PET/CT in RT planning of EC. Patients with histologically approved EC who were scheduled to undergo definitive RT, concurrent chemoradiotherapy or radical surgery, were eligible for this study. Eighteen patients with esophageal squamous cell cancer were enrolled between December 2009 and January 2011. The image data from 12 patients with 13 GTVCT were available for analysis in this study. The median age was 48.5 years (range 38–76 years). All patients were male. Table?1 presents the characteristics of these patients. All patients were asked to fast for at least 4 h before 18F-FDG PET/CT imaging. Each of them received 370 MBq (10 mCi) of 18F-FDG intravenously 40?min before scanning and rested in a supine position in a quiet and dimly lit room. All images were acquired with an integrated PET/CT scanner (Discovery STE, GE Medical Systems, Milwaukee, WI, USA). The patient's arms were elevated above their head. First, whole-body PET/CT images were taken according to the standardized protocol. The CT images were reconstructed onto a 512?×?512 matrix and converted to a 128?×?128 matrix, with 511-keV-equivalent attenuation factors for attenuation correction of the corresponding PET emission images. Immediately after finishing the whole-body PET/CT images, patients were repositioned and placed in a simulated RT planning position using the Real-time Position Management (RPM) system respiratory gating hardware (Varian Medical Systems Inc., Palo Alto, CA, USA). 4D-CT images with 2.50-mm slice thickness, and 4D-PET images with two table positions, 7?min per position, were acquired. The respiration cycle was divided into 10 phases. All CT images were automatically sorted using 4D software (Advantage 4D, GE Healthcare). The images were transferred from the PET/CT workstation via DICOM3 to the RTP (Eclipse version 8.6, Varian Medical Systems Inc.) for GTV delineation. All phases of CT images and PET images were automatically fused for this gating study. PET/CT-based GTV of the primary tumor (GTVPET) was defined by the auto-contouring function at the AW workstation (Advantage SimTM 7.6.0, GE Healthcare), either by applying the isodensity volumes and adjusting the different percentages to the maximum threshold levels, or by simply using a fixed value of SUV. The threshold strategies for assessing the optimized SUV for GTV contouring were derived from the results of other studies [6, 7, 15, 21]. Eight different threshold methods were used in this study. They were SUV 15%, SUV 2, SUV 2.5, SUV 20%, SUV 25%, SUV30 %, SUV 40% and SUV 50%. The length of the GTVPET provided by the auto-contouring function was not changed at all. All the artifacts within the GTVPET, including the areas overlaid by the heart, bone and great vessels, were excluded manually in the RTP system (Fig.?1). The temporal resolution of PET is an average of several respiratory cycles. In contrast to helical CT, the temporal resolution of averaged CT (ACT) is comparable with that of PET. Furthermore, Chi et al. [22] demonstrated that respiration artifacts in PET from PET/CT can be minimized using ACT, and ACT is temporally and spatially consistent with PET. On the basis of axial ACT images, contouring of the tumor volume and critical structures was performed without knowing the PET results in an effort to decrease bias. Information about the tumor extent from the contrast CT scan, panendoscopy and endoscopic ultrasonography (EUS) was used when delineating the GTVCT. Excluding the adjacent metastatic lymph nodes, the volume of primary tumors (GTVCT) was contoured as a reference tumor volume. To reduce inter-observer variations, at least two different radiation oncologists carried out the contouring of the tumors for each patient. After completion of the GTVCT contouring in the RTP system, the radiation oncologists reviewed the consistency of PET/CT images with nuclear medicine physicians. The volume of GTVCT and GTVPET was compared using the conformality index (CI) [23] and volume ratio (VR). The CI is the ratio of the volume of intersection of two volumes (A?∩?B) compared with the volume of union of the two volumes (A?∪?B) under comparison () [21, 24]. Volume ratio is the ratio of two volumes, and the denominator is the volume of GTVCT. A suitable threshold level could be defined when GTVPET was observed to be the best fit of the length, CI, or VR from the GTVCT.All statistical tests were performed using SPSS 15 (SPSS, Chicago, IL, USA), and each GTV was analyzed by one-way ANOVA with Scheffe's post hoc test. P-values of 0.05 or less were considered statistically significant. Pearson's correlation was performed to assess the correlation between tumor length evaluated by GTVCT wit
机译:这项研究是一项前瞻性分析,并由当地机构审查委员会(DMR98-IRB-171)批准,用于EC的RT计划中的4D-PET / CT。经组织学认可的EC且计划接受明确的RT,同步放化疗或根治性手术的患者符合这项研究的条件。在2009年12月至2011年1月之间招募了18例食管鳞状细胞癌患者。本研究分析了12例13 GTV CT 患者的图像数据。中位年龄为48.5岁(范围38-76岁)。所有患者均为男性。表1列出了这些患者的特征。在 18 F-FDG PET / CT显像前,要求所有患者禁食至少4 h。他们每人在扫描前40分钟静脉内接受370 MBq(10 mCi)的 18 F-FDG静脉注射,并在安静且昏暗的房间里仰卧。所有图像均使用集成的PET / CT扫描仪(Discovery STE,GE Medical Systems,美国威斯康星州密尔沃基)获得。病人的手臂举过头顶。首先,根据标准化方案拍摄全身PET / CT图像。将CT图像重建到512××512矩阵上,并转换为128××128矩阵,并具有5​​11-keV等效衰减因子,用于相应PET发射图像的衰减校正。完成全身PET / CT图像后,立即使用实时位置管理(RPM)系统呼吸门控硬件(Varian Medical Systems Inc.,美国加利福尼亚州帕洛阿尔托)将患者重新定位并放置在模拟的RT计划位置)。获得具有2.50mm切片厚度的4D-CT图像和具有两个工作台位置(每个位置7分钟)的4D-PET图像。呼吸周期分为10个阶段。使用4D软件(Advantage 4D,GE Healthcare)自动对所有CT图像进行分类。图像通过DICOM3从PET / CT工作站传输到RTP(Eclipse版本8.6,Varian Medical Systems Inc.)进行GTV描绘。对于该门控研究,CT图像和PET图像的所有阶段都会自动融合。通过AW工作站上的自动轮廓功能(Advantage Sim TM 7.6.0,GE Healthcare,GE)定义了基于PET / CT的原发肿瘤GTV(GTV PET ) ),或者通过应用等体积体积并将不同的百分比调整为最大阈值水平,或者仅使用固定值的SUV即可。评估用于GTV轮廓的优化SUV的阈值策略源自其他研究的结果[6、7、15、21]。在这项研究中使用了八种不同的阈值方法。他们是SUV 15%,SUV 2,SUV 2.5,SUV 20%,SUV 25%,SUV30%,SUV 40%和SUV 50%。自动轮廓功能提供的GTV PET 的长度完全没有改变。在RTP系统中,人工排除了GTV PET 中的所有伪像,包括心脏,骨骼和大血管所覆盖的区域(图1)。 PET的时间分辨率是几个呼吸周期的平均值。与螺旋CT相比,平均CT(ACT)的时间分辨率与PET相当。此外,Chi等。 [22]证明使用ACT可以使PET / CT的PET中的呼吸伪影最小化,并且ACT在时间和空间上与PET一致。基于轴向ACT图像,在不知道PET导致降低偏差的努力的情况下进行了肿瘤体积和关键结构的轮廓绘制。在描绘GTV CT 时,使用了造影剂CT扫描,内窥镜检查和内镜超声检查(EUS)有关肿瘤程度的信息。除邻近的转移性淋巴结外,将原发肿瘤的体积(GTV CT )轮廓化为参考肿瘤体积。为了减少观察者之间的差异,至少两名不同的放射肿瘤学家对每位患者进行了肿瘤轮廓分析。在RTP系统中完成GTV CT 轮廓绘制后,放射肿瘤学家与核医学医师一起审查了PET / CT图像的一致性。使用保形指数(CI)[23]和体积比(VR)比较了GTV CT 和GTV PET 的体积。 CI是比较中的两个体积的相交体积(A≥B)与两个体积的相交体积(A≥B)的比值[21,24]。体积比是两个体积的比,分母是GTV CT 的体积。当观察到GTV PET 最适合GTV CT的长度,CI或VR时,可以定义一个合适的阈值水平。所有统计检验均使用SPSS 15(SPSS,美国伊利诺伊州芝加哥市)和每个GTV均采用Scheffe事后检验,通过单向方差分析进行了分析。 P值小于或等于0.05被认为具有统计学意义。进行皮尔逊相关分析以评估GTV CT 机智评估的肿瘤长度之间的相关性

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