中国中西医结合影像学杂志   2025, Vol. 23 Issue (5): 559-562, 586
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临床-CT特征模型对耐多药肺结核的预测价值[PDF全文]
刘申成 , 张欢 , 范如雪 , 杨洋 , 陈兆楠 , 程念岚 , 犹露 , 李邦国
遵义医科大学附属医院放射科, 贵州 遵义 563003
摘要目的: 探讨临床-CT特征模型预测耐多药肺结核(MDR-PTB)的价值。方法: 回顾性收集具有药物敏感性试验结果的肺结核患者430例,其中MDR-PTB 223例(MDR-PTB组),敏感肺结核(DS-PTB)207例(DS-PTB组)。对比分析2组临床资料和胸部CT表现。选取单因素分析差异有统计学意义的临床、CT特征为自变量,以是否耐多药为因变量进一步行多因素logistic回归分析,建立回归方程模型,即临床-CT特征模型,并采用ROC曲线评估模型的诊断效能。结果: MDR-PTB组复治、支气管扩张、病变累及肺叶≥3叶、多发空洞、厚壁空洞、包裹性积液、胸膜增厚、病情进展情况均较DS-PTB组高,差异均有统计学意义(均P<0.05)。logistic回归分析显示,复治、多发空洞、厚壁空洞、病情进展均为MDR-PTB的独立危险因素。基于此建立的回归方程模型显示,AUC为0.799,特异度为89.9%,敏感度为61.0%,对应回归模型预测最佳临界值为0.570。结论: MDR-PTB与DS-PTB的临床及胸部CT表现具有一定的差异性,当复治、多发空洞、厚壁空洞、病情进展等多种表现并存时高度提示为MDR-PTB;临床-CT特征模型可为MDR-PTB患者早期诊断及治疗提供影像学依据。
关键词肺结核    耐多药    体层摄影术    X线计算机    诊断    
Prediction of multidrug-resistant pulmonary tuberculosis based on clinic-CT features model
LIU Shencheng , ZHANG Huan , FAN Ruxue , YANG Yang , CHEN Zhaonan , CHENG Nianlan , YOU Lu , LI Bangguo
Department of Radiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
Abstract: Objective: To explore the value of the clinic-CT features model in predicting multidrug-resistant pulmonary tuberculosis (MDR-PTB). Methods: A total of 430 pulmonary tuberculosis patients with drug sensitivity test results were retrospectively collected, including 223 cases of MDR-PTB (MDR-PTB group), and 207 cases of drug sensitive pulmonary tuberculosis (DS-PTB group). The clinical data and chest CT features of the two groups were compared and analyzed. A one-way analysis was performed, clinical and CT features with statistically significant differences were selected as independent variables, and logistic regression analysis was further performed with multidrug pulmonary resistance as the dependent variable. Then the clinic-CT features model was established, and the diagnostic efficacy of the model was also verified with ROC curves. Results: The re-treatment rate, bronchiectasis, lesion involving more than 3 lung lobes, multiple cavities, thick-walled cavities, encapsulated effusion, pleural thickening and disease progression of the MDR-PTB group were all higher than those of the DS-PTB group (all P < 0.05). The logistic regression analysis indicated that re-treatment rate, multiple cavities, thick-walled cavities and disease progression were the independent risk factors for MDR-PTB. The regression equation model based on the above four independent risk factors had an AUC of 0.799, a specificity of 89.9%, a sensitivity of 61.0%, with the optimal critical value of 0.570. Conclusions: The clinical and chest CT features of MDR-PTB and DS-PTB have certain differences. When multiple manifestations such as re-treatment, multiple cavities, thick-walled cavities, and disease progression coexist, it highly suggests MDR-PTB. Based on the clinic-CT features model, it can provide imaging value for the early diagnosis of MDR-PTB patients.
Key words: Pulmonary tuberculosis    Multidrug-resistant    Tomography    X-ray computed    Diagnosis    

耐多药肺结核(multidrug-resistant pulmonary tuberculosis,MDR-PTB)是指患者感染的结核分枝杆菌(mycobacterium tuberculosis,MTB)经体外药物敏感性试验(drug sensitive test,DST)证实至少对异烟肼和利福平耐药的结核病[1-2]。MDR-PTB是全球范围内的传染病,由于不能早期发现治疗,使其难以控制,对人类健康造成严重威胁。《2024年全球结核病报告》[3]显示,1年内新增MDR-PTB或利福平耐药结核病患者有40万例,我国约2.9万例。目前,DST仍是检测肺结核是否耐药的常用方法及金标准,但MTB培养耗时长(数周或数月),难以达到临床快速诊断的要求[4-5]。虽然越来越多的分子检测技术应用于临床,但当标本中MTB含量很少时会出现假阴性,且分子检测技术费用昂贵,具有一定局限性[6-7]。胸部CT检查在肺结核临床诊断及疗效判断中应用广泛,但文献报道的大多是耐药肺结核的影像学特征,对MDR-PTB的影像学特征研究较少。因此,本研究拟构建基于临床及胸部CT特征的MDR-PTB预测模型,旨在为临床提供一种无创、便捷、有效预测MDR-PTB的方法,为该病的早诊早治提供支持。

1 资料与方法 1.1 一般资料

回顾性收集2019年1月至2023年12月我院收治的肺结核患者430例,其中MDR-PTB患者223例(MDR-PTB组),敏感性肺结核(DS-PTB)患者207例(DS-PTB组)。纳入标准:确诊为肺结核且有DST结果。排除标准:①临床资料或CT资料不完整;②CT图像质量差,影响病变观察及分析。收集患者的年龄、性别、治疗类型、咳嗽、咳痰、咯血、发热、胸痛、胸闷气促等资料。本研究经医院伦理委员会审批(批号:KLLY-2023-042),患者均知情同意。

1.2 仪器与方法

采用Siemens Somatom Definition AS128 MSCT或Siemens Somatom Definition Flash双源CT。扫描参数:100~120 kV,120 mAs,准直器128×0.6 mm,螺距0.6,矩阵512×512,层厚5 mm,1 mm薄层重建,肺窗窗宽1 200 HU、窗位-600 HU,纵隔窗窗宽350 HU、窗位50 HU,标准算法重建。

1.3 图像分析

由2位分别具有5、10年工作经验的胸部CT影像诊断医师在不知患者是否耐多药的情况下,分别判读CT图像,意见分歧时协商达成一致。分析以下胸部CT表现:①肺内病变(纤维化病变、钙化等);②气管性病变(支气管播散、肺不张等);③累及总肺叶数;④空洞(空洞并液平、厚壁空洞、多发空洞);⑤胸膜病变(胸膜增厚、包裹性积液等);⑥病情进展。

1.4 统计学分析

采用SPSS 29.0软件进行统计分析。计数资料以例(%)表示。满足正态分布的连续变量组间比较行独立样本t检验,分类变量行χ2检验。2组临床及胸部CT特征行单因素分析,将肺结核是否耐多药状态作为因变量,2组间差异有统计学意义的特征作为自变量行多因素logistic回归分析。绘制ROC曲线评价该回归方程模型预测效能。采用Hosmer-Lemeshow检验验证模型校准度。以P<0.05为差异有统计学意义。

2 结果 2.1 2组临床资料比较

MDR-PTB组复治率为46.2%(103/223),DS-PTB组为7.2%(15/207),差异有统计学意义(P<0.05);2组性别、年龄等差异均无统计学意义(均P>0.05)(表 1)。

表 1 2组临床资料比较

2.2 2组胸部CT表现比较

MDR-PTB组支气管扩张、病变累及肺叶≥3叶、厚壁空洞(壁厚>3 mm)、多发空洞(≥ 3个)、包裹性积液、胸膜增厚、病情进展情况均较DS-PTB组高,差异均有统计学意义(均P<0.05)(图 1a1b);肺气肿、肺不张、支气管播散、渗出性病变、纤维化病变、钙化、空洞伴液平、胸腔积液情况差异均无统计学意义(均P>0.05)(表 2)。

注:患者,男,32岁,复治MDR-PTB。图 1a,1b 为CT平扫示双肺多肺叶浸润性病变,伴多发性空洞形成(部分呈厚壁特征),以及广泛支气管扩张改变 图 1 耐多药肺结核(MDR-PTB)的CT图像

表 2 2组胸部CT表现  

2.3 MDR-PTB的多因素logistic回归分析

多因素logistic回归分析显示,复治、多发空洞、厚壁空洞、病情进展均为MDR-PTB的独立危险因素(表 3)。构建logistic回归方程:P=$ \frac{\text{exp}(-1.224+2.212{x}_{1}+0.660{x}_{2}+0.714{x}_{3}+1.492{x}_{4})}{1+\text{exp}(-1.224+2.212{x}_{1}+0.660{x}_{2}+0.714{x}_{3}+1.492{x}_{4})} $,其中$ {x}_{1} $为复治,$ {x}_{2} $为多发空洞,$ {x}_{3} $$ 厚壁空洞 $$ {x}_{4} $$ 病情进展 $

表 3 MDR-PTB的多因素logistic回归分析

2.4 ROC曲线分析

绘制logistic回归方程模型(临床-CT特征模型)的ROC曲线,其AUC为0.799,95%CI为0.756~0.841(图 2)。当约登指数为0.508时,临界值为0.570,模型特异度为89.9%,敏感度为61.0%,阳性预测值为76.8%,阴性预测值为72.6%。Hosmer-Lemeshow检验显示,χ2=6.209,P=0.624,表明该预测模型校准度及预测效能良好。

图 2 临床-CT特征模型预测MDR-PTB的ROC曲线

3 讨论

MDR-PTB具有治疗周期长、费用高、疗效差、病情反复等特点,是全球结核病控制的重点[8]。本研究发现,复治是发生MDR-PTB的关键因素,初治患者治疗不规律、方案不合理、依从性差等使免疫力下降,结核菌株大量繁殖导致复治时更易演变成MDR-PTB。支气管扩张与胶原蛋白沉积、纤维瘢痕形成有关,MDR-PTB抗结核治疗时间长,肺组织受损严重,肺纤维化牵拉易导致支气管扩张、扭曲[9]。本研究中MDR-PTB的支气管扩张检出率高于DS-PTB(P<0.05),与Du等[10-11]研究结果相似。本研究中MDR-PTB患者累及肺叶≥3叶更多,与文献[12]报道相符。MDR-PTB一般病程较长,治疗效果较DS-PTB差,且耐多药结核菌株生存能力更强,易在肺叶播散,肺部组织反复受到破坏。空洞在MDR-PTB中的检出率高于在DS-PTB中[13-14]。MDR-PTB空洞内MTB载量高,菌株毒力强,对肺组织破坏力大,易形成多发空洞。本研究中,MDR-PTB组更易出现≥3个空洞,与文献[15]结果一致。另外,本研究MDR-PTB组厚壁空洞的检出率明显高于DS-PTB组,与文献[16]报道一致;考虑是结核空洞壁具屏障作用,且空洞周围血供较差,尤其是厚壁空洞,可能会抑制抗结核药物渗透,难以达到有效抑菌及杀菌浓度,致使空洞病灶内反复持续排菌,逐步诱发形成MDR-PTB。本研究中,包裹性积液及胸膜增厚在MDR-PTB组的检出率更高,原因是MDR-PTB的MTB载量高,更多细菌进入胸膜腔,发生迟发型超敏反应而产生炎症,最终形成胸腔积液[17]。包裹性胸腔积液中纤维蛋白附着于胸膜上或肉芽组织增生,导致胸膜增厚。本研究中,MDR-PTB组病情进展占比高于DS-PTB组,考虑原因为MDR-PTB患者感染通常较严重,肺组织破坏较严重,不易好转。

本研究多因素logistic回归分析显示,复治、多发空洞、厚壁空洞、病情进展均为MDR-PTB的独立危险因素。基于此建立的回归方程模型显示,AUC为0.799,特异度为89.9%,敏感度为61.0%,对应回归模型预测最佳临界值为0.570,提示该模型对于预测肺结核患者产生耐多药具有一定的诊断价值。

本研究存在的不足:①为单中心回顾性分析,样本量偏小,可能产生选择偏倚。后续将通过多中心协作扩大样本量,并实施前瞻性研究方案以提高证据等级。②仅采用临床及胸部CT特征构建模型,后续将结合MDR-PTB的CT影像组学特征建立更全面的预测模型。

综上所述,MDR-PTB与DS-PTB的临床及胸部CT表现具有一定的差异性,当复治、多发空洞、厚壁空洞、病情进展等多种表现并存时高度提示为MDR-PTB;临床-CT特征模型可为MDR-PTB患者早期诊断提供影像学依据,有助于患者及时治疗。

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