基于[18F]FMISO PET/CT 数据的部分容积效应校正对缺氧空间量化的影响。

IF 3.3 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Physica Medica-European Journal of Medical Physics Pub Date : 2024-11-09 DOI:10.1016/j.ejmp.2024.104853
Athanasios Kafkaletos , Ilias Sachpazidis , Michael Mix , Montserrat Carles , Henning Schäfer , Alexander Rühle , Nils H. Nicolay , Marta Lazzeroni , Iuliana Toma-Dasu , Anca L. Grosu , Dimos Baltas
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引用次数: 0

摘要

目的:本研究评估了部分容积效应(PVE)校正对[18F]氟咪唑(FMISO)PET图像的影响,重点是将标准化摄取值(SUV)转换为部分氧压(pO2)以及随后确定缺氧肿瘤体积(HTV):方法:对 49 例头颈部鳞状细胞癌的 FMISO PET 图像进行回顾性 PVE 校正并转换为 pO2。采用 10 mmHg 的 pO2 阈值来划分 HTV(HTVpO2)。比较校正和未校正图像的 pO2 分布和 HTVpO2,并根据已发表的极谱数据评估 pO2 分布。HTVpO2 与传统肿瘤肌肉比(TMR)方法定义的 HTV(HTVTMR)在体积和地形(DICE 系数、豪斯多夫距离和重心距离)方面在不同的 TMR 截断水平上进行了比较。确定了两种方法分割结果最接近的截断水平(TMRbest):结果:PVE 校正降低了最小 pO2,增加了 HTVpO2,并识别出更多缺氧病例(HTV > 0)。pO2 分布与已公布的极谱数据的吻合度有所提高。在 TMRbest 1.6 时,HTVTMR 和 HTVpO2 之间的重心距离中位数较低,为 1.5 毫米,而范围较宽(0.0 至 9.6 毫米),表明患者之间的变异性较大。HTV 的形状变化很大,DICE 为 0.74(0.03 至 1.00),Hausdorff 距离为 8.5 毫米(2.0 至 42.8 毫米):结论:建议在将 SUV 转换为 pO2 之前进行 PVE 校正,以便对缺氧进行空间分辨量化。
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Implications of the partial volume effect correction on the spatial quantification of hypoxia based on [18F]FMISO PET/CT data

Purpose

This study evaluates the impact of partial volume effect (PVE) correction on [18F]fluoromisonidazole (FMISO) PET images, focusing on the conversion of standardized uptake values (SUV) to partial oxygen pressure (pO2) and the subsequent determination of hypoxic tumor volume (HTV).

Methods

FMISO PET images from 49 head and neck squamous cell carcinoma cases were retrospectively corrected for PVE and converted to pO2. A pO2 threshold of 10 mmHg was used to delineate the HTV (HTVpO2). Comparisons of pO2 distribution and HTVpO2 between corrected and uncorrected images were made, with pO2 distributions evaluated against published polarographic data. HTVpO2 was compared to HTV defined by the conventional tumor-to-muscle ratio (TMR) method (HTVTMR) in terms of volume and topography (DICE coefficient, Hausdorff distance, and center-of-gravity distance) across different TMR cutoff levels. The cutoff level where the segmentation results from both methods were most similar was identified (TMRbest).

Results

The PVE correction led to decreased minimum pO2, increased HTVpO2 and the identification of more hypoxic cases (HTV > 0). The pO2 distribution demonstrated improved alignment with published polarographic data. At TMRbest 1.6, the center-of-gravity distance between HTVTMR and HTVpO2 demonstrated a low median at 1.5 mm, while the wide range (0.0 to 9.6 mm) indicated high interpatient variability. The shape of HTV exhibited considerable variation with DICE 0.74 (0.03 to 1.00) and Hausdorff distance 8.5 mm (2.0 to 42.8 mm).

Conclusions

PVE correction is recommended before converting SUV to pO2 for the spatially resolved quantification of hypoxia.
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来源期刊
CiteScore
6.80
自引率
14.70%
发文量
493
审稿时长
78 days
期刊介绍: Physica Medica, European Journal of Medical Physics, publishing with Elsevier from 2007, provides an international forum for research and reviews on the following main topics: Medical Imaging Radiation Therapy Radiation Protection Measuring Systems and Signal Processing Education and training in Medical Physics Professional issues in Medical Physics.
期刊最新文献
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