Tatsumi Mitsuaki, Morita Naomi, Kida Akira, Momoi Risa, Isohashi Kayako, Okada Atsuya, Tomiyama Noriyuki
Department of Radiology, The University of Osaka Hospital, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Jinsenkai MI Clinic, Toyonaka, Japan.
Ann Nucl Med. 2025 May;39(5):450-457. doi: 10.1007/s12149-025-02017-8. Epub 2025 Jan 23.
Data-driven respiratory gating (DDG) has recently been introduced to improve image quality in the PET portion of PET/CT examinations. The latest DDG system does not require any external equipment or extended examination time. In this study, we investigated the effects of the new DDG system on the visualization and quantification of breast and upper abdominal cancers, comparing the results with those obtained using the standard free-breathing (STD) PET protocol.
A total of 223 cancer lesions (138 breast and 85 upper abdominal) evaluated with FDG PET/CT were included in this study. PET images were reconstructed using the STD and DDG algorithms. Lesion blurring and conspicuity were each visually graded on a three-point scale. The longest diameter (LD), SUVmax, and metabolic tumor volume (MTV) of the lesions were used for quantitative analysis. % change in SUVmax or MTV was calculated from the metrics in STD and DDG images. Fifty-six texture features (TFs) were also evaluated. Visual scores and quantitative metrics were compared between STD and DDG images. % change in SUVmax or MTV was compared in the lesion location groups or in the high and low groups based on LD, SUVmax, or MTV in STD images.
Visual scores for lesion blurring and conspicuity were both significantly higher in DDG than in STD PET images. SUVmax and MTV were significantly higher and lower, respectively, in DDG than in STD images. An increase in SUVmax and a decrease in MTV were observed in 96% and 86% of all lesions, respectively. Group analysis revealed that % change in SUVmax was greater in the upper abdominal than the breast lesions and % change in MTV was greater in the high LD and high MTV groups than in the low LD and low MTV groups, respectively. Quantitative changes in TFs were observed between STD and DDG images for most of the features.
This study demonstrated that DDG improved visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations. DDG PET images exhibited an increase in SUVmax, a decrease in MTV, and changes in TFs.
数据驱动的呼吸门控（DDG）最近被引入以提高PET/CT检查中PET部分的图像质量。最新的DDG系统不需要任何外部设备，也无需延长检查时间。在本研究中，我们调查了新型DDG系统对乳腺和上腹部癌症可视化及定量分析的影响，并将结果与使用标准自由呼吸（STD）PET协议获得的结果进行比较。
本研究纳入了223个经FDG PET/CT评估的癌症病灶（138个乳腺病灶和85个上腹部病灶）。PET图像采用STD和DDG算法重建。病灶模糊度和清晰度分别采用三分制进行视觉评分。病灶的最长径（LD）、SUVmax和代谢肿瘤体积（MTV）用于定量分析。根据STD和DDG图像中的指标计算SUVmax或MTV的变化百分比。还评估了56种纹理特征（TFs）。比较了STD和DDG图像之间的视觉评分和定量指标。根据STD图像中的LD、SUVmax或MTV，比较了病灶位置组或高低组中SUVmax或MTV的变化百分比。
DDG图像中病灶模糊度和清晰度的视觉评分均显著高于STD PET图像。DDG图像中的SUVmax显著高于STD图像，而MTV则显著低于STD图像。分别在96%和86%的所有病灶中观察到SUVmax增加和MTV减少。分组分析显示，上腹部病灶的SUVmax变化百分比大于乳腺病灶，高LD和高MTV组的MTV变化百分比分别大于低LD和低MTV组。大多数特征在STD和DDG图像之间观察到TFs的定量变化。
本研究表明，DDG改善了FDG PET/CT检查中乳腺和上腹部癌症的可视化及定量分析。DDG PET图像表现为SUVmax增加、MTV减少以及TFs变化。
