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使用 F-FDG PET/CT 对正常骨髓进行半自动直方图分析:与临床指标的相关性。

Semi-automated histogram analysis of normal bone marrow using F-FDG PET/CT: correlation with clinical indicators.

机构信息

Yamanashi PET Imaging Clinic, Shimokato 3046-2, Chuo City, Yamanashi Prefecture, 409-3821, Japan.

Department of Radiology, University of Yamanashi, Shimokato 1110, Chuo City, Yamanashi Prefecture, 409-3898, Japan.

出版信息

BMC Med Imaging. 2022 Feb 23;22(1):31. doi: 10.1186/s12880-022-00757-x.

Abstract

BACKGROUND

F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is increasingly applied to the diagnosis of bone marrow failure such as myeloproliferative neoplasm, aplastic anemia, and myelodysplastic syndrome, as well as malignant lymphoma and multiple myeloma. However, few studies have shown a normal FDG uptake pattern. This study aimed to establish a standard of bone marrow FDG uptake by a reproducible quantitative method with fewer steps using deep learning-based organ segmentation.

METHODS

Bone marrow PET images were obtained using segmented whole-spine and pelvic bone marrow cavity CT as mask images using a commercially available imaging workstation that implemented an automatic organ segmentation algorithm based on deep learning. The correlation between clinical indicators and quantitative PET parameters, including histogram features, was evaluated.

RESULTS

A total of 98 healthy adults were analyzed. The volume of bone marrow PET extracted in men was significantly higher than that in women (p < 0.0001). Univariate and multivariate regression analyses showed that mean of standardized uptake value corrected by lean body mass (SUL) and entropy in both men and women were inversely correlated with age (all p < 0.0001), and SUL in women were also inversely correlated with age (p = 0.011).

CONCLUSION

A normal FDG uptake pattern was demonstrated by simplified FDG PET/CT bone marrow quantification.

摘要

背景

正电子发射断层扫描(PET)越来越多地应用于骨髓衰竭的诊断,如骨髓增生性肿瘤、再生障碍性贫血、骨髓增生异常综合征,以及恶性淋巴瘤和多发性骨髓瘤。然而,很少有研究显示出正常的 FDG 摄取模式。本研究旨在使用基于深度学习的器官分割建立一种标准的骨髓 FDG 摄取方法,该方法使用较少的步骤和重复性的定量方法。

方法

使用商用成像工作站,以分段的全脊柱和骨盆骨髓腔 CT 作为掩模图像,获取骨髓 PET 图像,该工作站实现了基于深度学习的自动器官分割算法。评估了临床指标与包括直方图特征在内的定量 PET 参数之间的相关性。

结果

共分析了 98 例健康成年人。男性的骨髓 PET 提取体积明显高于女性(p<0.0001)。单因素和多因素回归分析显示,男性和女性的标准化摄取值校正的瘦体重(SUL)均值和熵均与年龄呈负相关(均 p<0.0001),女性的 SUL 也与年龄呈负相关(p=0.011)。

结论

简化的 FDG PET/CT 骨髓定量显示了正常的 FDG 摄取模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b46f/8867739/7f8176750223/12880_2022_757_Fig1_HTML.jpg

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