根据通过低剂量计算机断层扫描的肺癌筛查数据对肺部病灶线性尺寸和体积进行的测量比较

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论证。根据荷兰-比利时NELSON肺癌筛查研究,病灶的体积测量(容量分析法)可以将假阳性结果的发生率降低到2.1%。

目的是根据莫斯科肺癌筛查试点项目的数据通过低剂量计算机断层扫描对人工病灶线性尺寸测量与半自动病灶体积测量的诊断准确性和一致性进行比较。

材料和方法。293名在2020年前没有被核实诊断为肺癌的患者被纳入筛查计划,他们在2017年2月至2018年2月时间内接受了一次低剂量计算机断层扫描,显示肺部结节的大小至少为4毫米。辐射负载是个性化的,不超过1毫西弗。所有低剂量计算机断层扫描图像都由三位专家独立评估,以测量病灶的长轴以及外推体积。从专家测量得到的尺寸和体积的平均值作为参考值。<6毫米/<100毫米3 的病灶视为假阳性,≥6毫米/≥100毫米3 的病灶视为假阴性。

结果。293名患者(166名男性;56%;平均年龄为64.6±5.3岁)被纳入研究。共有199个<6毫米/<100毫米3 的肺部病灶。专家1、2和3分别记录了32个[10.9%;4个假阳性,28个假阴性]、29个[9.9%;17个假阳性,12个假阴性]和30个[10.2%。6个假阳性,24个假阴性]的病灶的体积测量与参考标准的差异,以及分别记录了92个[65.5%;107个假阳性,85个假阴性]、146个[49.8%;58个假阳性,88个假阴性]和102个[34.8%;23个假阳性,79个假阴性]病灶的线性尺寸测量与参考标准的差异。

结论。在低剂量计算机断层扫描肺癌筛查项目中,与病灶的线性大小的测量相比,使用肺部病灶的容积测定法可显著减少假阳性和假阴性结果的数量。

作者简介

Maria M. Suchilova

Moscow Center for Diagnostics and Telemedicine

编辑信件的主要联系方式.
Email: m.suchilova@npcmr.ru
ORCID iD: 0000-0003-1117-0294
SPIN 代码: 4922-1894

MD

俄罗斯联邦, Moscow

Ivan A. Blokhin

Moscow Center for Diagnostics and Telemedicine

Email: i.blokhin@npcmr.ru
ORCID iD: 0000-0002-2681-9378
SPIN 代码: 3306-1387

MD

俄罗斯联邦, Moscow

Olga O. Aleshina

City Clinical Hospital No 13

Email: olya.aleshina.tula@gmail.com
ORCID iD: 0000-0001-9924-0204
SPIN 代码: 6004-2422

MD

俄罗斯联邦, Moscow

Victor A. Gombolevskiy

Artificial Intelligence Research Institute

Email: gombolevskiy@npcmr.ru
ORCID iD: 0000-0003-1816-1315
SPIN 代码: 6810-3279

MD, Cand. Sci. (Med)

俄罗斯联邦, Moscow

Roman V. Reshetnikov

Moscow Center for Diagnostics and Telemedicine

Email: reshetnikov@fbb.msu.ru
ORCID iD: 0000-0002-9661-0254
SPIN 代码: 8592-0558

Cand. Sci. (Phys.-Math.)

俄罗斯联邦, Moscow

Viktor Yu. Bosin

Moscow Center for Diagnostics and Telemedicine

Email: bosin@npcmr.ru
ORCID iD: 0000-0002-4619-2744
SPIN 代码: 3380-7889

MD, Dr. Sci. (Med.)

俄罗斯联邦, Moscow

Olga V. Omelyanskaya

Moscow Center for Diagnostics and Telemedicine

Email: o.omelyanskaya@npcmr.ru
ORCID iD: 0000-0002-0245-4431
SPIN 代码: 8948-6152
俄罗斯联邦, Moscow

Anton V. Vladzymyrskyy

Moscow Center for Diagnostics and Telemedicine; The First Sechenov Moscow State Medical University (Sechenov University)

Email: a.vladzimirskiy@npcmr.ru
ORCID iD: 0000-0002-2990-7736
SPIN 代码: 3602-7120

MD, Dr. Sci (Med.)

俄罗斯联邦, Moscow; Moscow

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1. JATS XML
2. Figure 1. Subject selection flowchart.

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3. 图1。研究的患者选择过程。

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