Radiation-Induced Lung Injury Using a Pig Model: Evaluation by High-Resolution Computed Tomography

Radiation-Induced Lung Injury Using a Pig Model: Evaluation by High-Resolution Computed Tomography
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使用猪模型进行辐射引起的肺损伤:通过高分辨率计算机断层扫描进行评估

DOI:
10.1097/00004424-199502000-00003
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发表时间:
1995
影响因子:
6.7
通讯作者:
P. Herman
P. Herman
中科院分区:
医学1区
文献类型:
--
作者:
Masashi Takahashi;Gy. Balázs;Yakov Pipman;G. Moskowitz;C. Palestro;T. Eacobacci;Arfa Khan;P. Herman

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理论基础和目的:在实验条件下使用高分辨率计算机断层扫描(CT)评估放射性肺损伤的早期阶段,并进行精确的CT-病理对照。方法:5头约克郡猪接受了右下肺12.5Gy一次照射。每隔2周进行一次计算机断层扫描。经过4-16周的随访期后处死动物。肺切除、充气、固定、干燥、切片,与CT切片对应。计算机断层扫描、标本放射成像和组织学结果相互关联。结果:在前16周内观察到不同的CT表现,包括磨玻璃样阴影、离散实变、片状实变、小叶间隔增厚和毛细血管束。磨玻璃样阴影与肺泡壁增厚和散在的微小纤维性病灶有关。小叶间隔和血管束增厚是邻近这些结构纤维化的结果。弥漫性实变与肺泡内水肿、出血和炎细胞渗出有关。结论:经精确的放射学-病理学对照,高分辨率CT将面纱与放射性损伤所致的肺组织病理相关联。
RATIONALE AND OBJECTIVES.To assess the early phase of radiation-induced lung injury using high-resolution computed tomography (CT) under experimental conditions and to perform precise CT–pathologic correlation. METHODS.Five Yorkshire pigs received a single dose of 12.5 Gy to the right lower lung. Computed tomographic images were obtained at 2-week intervals. The animals were killed after follow-up periods of 4–16 weeks. The lungs were removed, inflated, fixed, dried, and sliced corresponding to the CT sections. Computed tomography, specimen radiography, and histologic findings were correlated. RESULTS.Various CT findings were observed during the first 16 weeks, including ground-glass opacity, discrete consolidation, patchy consolidation, thickened interlobular septum, and bronehovascular bundle. Ground-glass opacity was associated with thickened alveolar wall and scattered tiny fibrotic foci. Thickened interlobular septum and bronehovascular bundle were the results of fibrosis adjacent to these structures. Discrete consolidation correlated with intraalveolar edema with hemorrhage and infiltration of inflammatory cells. CONCLUSIONS.High-resolution CT correlated veil with pathology of the lung due to radiation injury as verified by precise radiologic–pathologic correlation