Postmortem chest computed tomography in COVID-19: A minimally invasive autopsy method

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Radiology Open Pub Date : 2024-01-13 DOI:10.1016/j.ejro.2024.100546
Paulo Savoia , Marcio Valente Yamada Sawamura , Renata Aparecida de Almeida Monteiro , Amaro Nunes Duarte-Neto , Maria da Graça Morais Martin , Marisa Dolhnikoff , Thais Mauad , Paulo Hilário Nascimento Saldiva , Claudia da Costa Leite , Luiz Fernando Ferraz da Silva , Ellison Fernando Cardoso
{"title":"Postmortem chest computed tomography in COVID-19: A minimally invasive autopsy method","authors":"Paulo Savoia ,&nbsp;Marcio Valente Yamada Sawamura ,&nbsp;Renata Aparecida de Almeida Monteiro ,&nbsp;Amaro Nunes Duarte-Neto ,&nbsp;Maria da Graça Morais Martin ,&nbsp;Marisa Dolhnikoff ,&nbsp;Thais Mauad ,&nbsp;Paulo Hilário Nascimento Saldiva ,&nbsp;Claudia da Costa Leite ,&nbsp;Luiz Fernando Ferraz da Silva ,&nbsp;Ellison Fernando Cardoso","doi":"10.1016/j.ejro.2024.100546","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>Performing autopsies in a pandemic scenario is challenging, as the need to understand pathophysiology must be balanced with the contamination risk. A minimally invasive autopsy might be a solution. We present a model that combines radiology and pathology to evaluate postmortem CT lung findings and their correlation with histopathology.</p></div><div><h3>Methods</h3><p>Twenty-nine patients with fatal COVID-19 underwent postmortem chest CT, and multiple lung tissue samples were collected. The chest CT scans were analyzed and quantified according to lung involvement in five categories: normal, ground-glass opacities, crazy-paving, small consolidations, and large or lobar consolidations. The lung tissue samples were examined and quantified in three categories: normal lung, exudative diffuse alveolar damage (DAD), and fibroproliferative DAD. A linear index was used to estimate the global severity of involvement by CT and histopathological analysis.</p></div><div><h3>Results</h3><p>There was a positive correlation between patient mean CT and histopathological severity score indexes - Pearson correlation coefficient (R) = 0.66 (p = 0.0078). When analyzing the mean lung involvement percentage of each finding, positive correlations were found between the normal lung percentage between postmortem CT and histopathology (R=0.65, p = 0.0082), as well as between ground-glass opacities in postmortem CT and normal lungs in histopathology (R=0.65, p = 0.0086), but negative correlations were observed between ground-glass opacities extension and exudative diffuse alveolar damage in histological slides (R=−0.68, p = 0.005). Additionally, it was found is a trend toward a decrease in the percentage of normal lung tissue on the histological slides as the percentage of consolidations in postmortem CT scans increased (R =−0.51, p = 0.055). The analysis of the other correlations between the percentage of each finding did not show any significant correlation or correlation trends (p ≥ 0.10).</p></div><div><h3>Conclusions</h3><p>A minimally invasive autopsy is valid. As the severity of involvement is increased in CT, more advanced disease is seen on histopathology. However, we cannot state that one specific radiological category represents a specific pathological correspondent. Ground-glass opacities, in the postmortem stage, must be interpreted with caution, as expiratory lungs may overestimate disease.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000017/pdfft?md5=62b0ba1e43f345bc6fabdea0bce149ea&pid=1-s2.0-S2352047724000017-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Radiology Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352047724000017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives

Performing autopsies in a pandemic scenario is challenging, as the need to understand pathophysiology must be balanced with the contamination risk. A minimally invasive autopsy might be a solution. We present a model that combines radiology and pathology to evaluate postmortem CT lung findings and their correlation with histopathology.

Methods

Twenty-nine patients with fatal COVID-19 underwent postmortem chest CT, and multiple lung tissue samples were collected. The chest CT scans were analyzed and quantified according to lung involvement in five categories: normal, ground-glass opacities, crazy-paving, small consolidations, and large or lobar consolidations. The lung tissue samples were examined and quantified in three categories: normal lung, exudative diffuse alveolar damage (DAD), and fibroproliferative DAD. A linear index was used to estimate the global severity of involvement by CT and histopathological analysis.

Results

There was a positive correlation between patient mean CT and histopathological severity score indexes - Pearson correlation coefficient (R) = 0.66 (p = 0.0078). When analyzing the mean lung involvement percentage of each finding, positive correlations were found between the normal lung percentage between postmortem CT and histopathology (R=0.65, p = 0.0082), as well as between ground-glass opacities in postmortem CT and normal lungs in histopathology (R=0.65, p = 0.0086), but negative correlations were observed between ground-glass opacities extension and exudative diffuse alveolar damage in histological slides (R=−0.68, p = 0.005). Additionally, it was found is a trend toward a decrease in the percentage of normal lung tissue on the histological slides as the percentage of consolidations in postmortem CT scans increased (R =−0.51, p = 0.055). The analysis of the other correlations between the percentage of each finding did not show any significant correlation or correlation trends (p ≥ 0.10).

Conclusions

A minimally invasive autopsy is valid. As the severity of involvement is increased in CT, more advanced disease is seen on histopathology. However, we cannot state that one specific radiological category represents a specific pathological correspondent. Ground-glass opacities, in the postmortem stage, must be interpreted with caution, as expiratory lungs may overestimate disease.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
COVID-19 中的尸检胸部计算机断层扫描:微创尸检方法
目标在大流行情况下进行尸体解剖具有挑战性,因为必须在了解病理生理学与污染风险之间取得平衡。微创尸检可能是一种解决方案。我们介绍了一种结合放射学和病理学的模型,用于评估死后 CT 肺部发现及其与组织病理学的相关性。根据肺部受累情况,对胸部 CT 扫描结果进行了分析和量化,分为五类:正常、磨玻璃不透明、疯狂铺层、小的合并症、大的或大叶合并症。对肺组织样本进行检查和量化,分为三类:正常肺、渗出性弥漫性肺泡损伤(DAD)和纤维增生性 DAD。结果患者平均 CT 和组织病理学严重程度评分指数之间呈正相关--皮尔逊相关系数 (R) = 0.66 (p = 0.0078)。在分析每项发现的平均肺受累百分比时,发现死后 CT 和组织病理学中正常肺百分比之间呈正相关(R=0.65,p=0.0082),死后 CT 中的磨玻璃不透明与组织病理学中的正常肺之间也呈正相关(R=0.65,p=0.0086),但在组织病理学切片中磨玻璃不透明扩展与渗出性弥漫性肺泡损伤之间呈负相关(R=-0.68,p=0.005)。此外,研究还发现,随着死后 CT 扫描中肺结核比例的增加,组织学切片中正常肺组织的比例也呈下降趋势(R=-0.51,p=0.055)。对每项发现的百分比之间的其他相关性分析未显示任何显著的相关性或相关趋势(P≥0.10)。结论微创尸检是有效的。随着 CT 受累严重程度的增加,组织病理学上会看到更晚期的疾病。但是,我们不能说某一特定的放射学分类代表了特定的病理学对应物。在尸体解剖阶段,由于呼气性肺炎可能会高估疾病,因此必须谨慎解释磨玻璃不透光现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
European Journal of Radiology Open
European Journal of Radiology Open Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.10
自引率
5.00%
发文量
55
审稿时长
51 days
期刊最新文献
Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study MRI-based radiomics machine learning model to differentiate non-clear cell renal cell carcinoma from benign renal tumors Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates Study on the classification of benign and malignant breast lesions using a multi-sequence breast MRI fusion radiomics and deep learning model True cost estimation of common imaging procedures for cost-effectiveness analysis - insights from a Singapore hospital emergency department
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1