射频消融联合其他介入综合技术治疗原发性肝癌研究进展

原发性肝癌（HCC）死亡率居全球第三位,而中国肝癌患者的年发病及死亡病例数均超过全球总数的50%。目前,手术仍是唯一有可能治愈HCC的首选方法,但绝大多数患者发现时已为肝癌中晚期,失去了手术机会。近年来介入微创治疗已成为不可手术切除肝癌治疗的研究热点之一,主要包括：肝动脉化疗栓塞（TACE）、局部消融治疗、放射性粒子组织间近距离放疗及体外高能聚焦超声波等。由于介入微创治疗方式多样,如何合理有序的联合应用仍是当前的研究热点。本文重点综述以射频消融为基础的各种介入综合技术手段联合应用治疗肝癌的新进展。     

Radiation protection value to the operator from augmented reality smart glasses in interventional fluoroscopy procedures using phantoms

IntroductionSmart glasses can be adapted to display radiographic images to allow clinician's gaze not to be directionally fixed or predetermined by computer monitor location. This study presents an analysis of eye lens dose during interventional fluoroscopy guided procedures, comparing fixed monitor positions against the use of smart glasses.MethodsUsing a head phantom (simulating the clinician), thermoluminescent dosimeters and lead shielded glasses, the dose to the eye was measured for different head ‘rotations and tilts’ for: gaze directed towards the main scattering source (patient/primary beam) to represent potential gaze direction if smart glasses are used; gaze directed to a range of potential computer monitor positions. An anthropomorphic pelvis phantom was utilised to simulate the patient. Accumulated dose rates (μGy sˉ¹) from five 10-second exposures at 75 kV 25.2 mAs were recorded.ResultsAn average DAP reading of 758.84 cGy cm² was measured during each 10 second exposure. Whilst wearing lead shielded glasses a 6.10 – fold reduction in dose rate to the lens is possible (p < 0.05). Influence of the direction of gaze by the clinician demonstrated a wide range of dose rate reduction from 3.13% (p = 0.16) to 143.69% (p < 0.05) when the clinician's gaze was towards the main scattering source. Increased dose rate to the clinician's eyes was received despite wearing lead shielded glasses, as the angle of gaze moved 45° and 90° from 0°.ConclusionIf the clinician's gaze is directed towards the main scattering source a potential exists for reducing eye lens dose compared with fixed location computer monitors. Introduction of lead lined smart glasses into interventional radiology may lead to improvements in patient care, reducing the need for the clinician to look away from the patient to observe a radiographic image.     

Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization

ObjectiveRadiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore the potential of natural language processing (NLP) to predict downstream radiology resource utilization in patients undergoing surveillance for hepatocellular carcinoma (HCC).Materials and MethodsAll HCC surveillance CT examinations performed at our institution from January 1, 2010, to October 31, 2017 were selected from our departmental radiology information system. We used open source NLP and machine learning software to parse radiology report text into bag-of-words and term frequency–inverse document frequency (TF-IDF) representations. Three machine learning models—logistic regression, support vector machine (SVM), and random forest—were used to predict future utilization of radiology department resources. A test data set was used to calculate accuracy, sensitivity, and specificity in addition to the area under the curve (AUC).ResultsAs a group, the bag-of-word models were slightly inferior to the TF-IDF feature extraction approach. The TF-IDF + SVM model outperformed all other models with an accuracy of 92%, a sensitivity of 83%, and a specificity of 96%, with an AUC of 0.971.ConclusionsNLP-based models can accurately predict downstream radiology resource utilization from narrative HCC surveillance reports and has potential for translation to health care management where it may improve decision making, reduce costs, and broaden access to care.     

Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging for Differentiation Between Parotid Neoplasms

PurposeThis study was designed to evaluate the role of multiparametric magnetic resonance imaging (MRI) for differentiation of parotid gland neoplasms.MethodsProspective study was conducted upon 52 consecutive patients (30 men, 22 women; aged 24–78 years; mean, 51 years) with parotid tumours that underwent multiparametric MRI using combined static MRI, dynamic contrast enhanced (DCE) MRI, and diffusion-weighted imaging (DWI). The static MRI parameter, time signal intensity curves (TIC) derived from DCE-MRI, and apparent diffusion coefficient (ADC) values of parotid tumours were correlated with histopathological findings.ResultsStatic MRI revealed a significant difference between both benign and malignant lesions in regards to margin definition (P < .001) and T2 hypointensity (P < .013), with a diagnostic accuracy 95% and 78.33% respectively. Study of the TIC type on DCE-MRI revealed statistically significant difference between benign and malignant lesions (P < .001) and diagnostic accuracy 96.55%. There was no statistically significant difference (P = .181) between the ADC values of benign and malignant lesions. ROC curve analysis revealed that by using ADC cut-off value of 1 × 10^?3 mm²/s had accuracy of 84.62% respectively for differentiating Warthin from malignant tumours that could be modified to higher value (94.28%) by excluding lymphoma from malignant lesions. By using cutoff value of 1.3 × 10^?3 mm²/s to differentiate pleomorphic adenoma from malignancy, ROC curve analysis had high accuracy of 97.06%.ConclusionMultiparametric MRI can be used for differentiation of malignant from benign parotid tumours and characterization of some benign parotid tumours.     

经支气管镜介入治疗在气道发育异常中的应用

支气管镜是诊治儿童呼吸系统疾病不可缺少的方法之一,是儿童肺介入治疗技术不断发展的基础。随着临床经验的不断积累及支气管镜在儿科的广泛应用,其价值得到了一致肯定。该文将对经支气管镜介入治疗在气道发育异常中的应用概况作一综述。     

3D打印技术在特殊类型房间隔缺损诊疗中的应用

目的应用3D打印技术制作房间隔缺损(ASD)解剖模型,探讨3D打印模型在特殊类型ASD诊疗中的临床应用价值。方法收集25例继发孔型ASD患者,均行CTA检查,将扫描数据输入FitMe影像处理软件进行三维重建,将重建数据输入3D打印机进行打印。根据3D打印模型进行模拟介入治疗并制定介入手术方案。结果 25例ASD模型均制作成功。对7例多孔型ASD采用ASD封堵器介入治疗成功,4例下腔型ASD采用PDA封堵器封堵成功,其余病例由于缺损直径过大或结构特殊未行介入治疗。结论 3D打印ASD模型技术具有可行性,对于较为复杂的ASD可通过术前模拟介入治疗以提高手术成功率。     

256层螺旋CTA在左锁骨下动脉窃血综合征患者术前评估的价值

目的应用256层CTA技术观测左锁骨下动脉解剖特点,评价CTA对锁骨下动脉窃血综合征(SSS)介入治疗术前评估的应用价值。方法回顾性分析60例经临床确诊的SSS患者(疾病组)及500例无SSS受检者(对照组)左锁骨下动脉CTA资料,测量受检者左锁骨下动脉自主动脉弓的起始角度;评价疾病组左锁骨下动脉斑块的特点、管腔狭窄及闭塞情况。结果所有受检者左锁骨下动脉自主动脉弓的起始角度为:71.98°±8.26°,疾病组左锁骨下动脉起始角度71.98°的比例明显高于对照组,差异有统计学意义(P0.05)。疾病组左锁骨下动脉管腔闭塞11例(18.33%),闭塞范围为9~24mm;中度狭窄7例(11.67%),重度狭窄42例(70.00%),狭窄长度8~31mm;偏心性斑块33例,环形斑块16例。以DSA为金标准,CTA诊断左锁骨下动脉狭窄、闭塞的敏感度为96.77%,特异度为100%,诊断符合率为96.97%。结论 256层CTA可准确测量左锁骨下动脉的各项解剖数值;对左SSS术前评估具有重要的应用价值。     

中晚期肝癌介入治疗患者的生存质量及预后影响因素分析

目的:探讨中晚期肝癌介入治疗患者的生存质量及预后影响因素。方法:回顾性分析110例中晚期肝癌患者的临床资料,观察患者术后1个月的临床疗效,随访半年、1年和超过2年的患者生存率,记录治疗前后患者生存质量(QOL)评分,采用Logistic回归分析法分析影响预后的相关因素。结果:本组患者半年、1年、2年内累积生存率分别为82.73%、45.45%、21.82%,中位生存时间13个月;术后1个月的治疗总有效率为81.82%(90/110),且治疗后QOL总评分显著高于治疗前(P<0.05)。肝功能Child分级、肿瘤大小、门静脉癌栓、瘤肝比均为影响中晚期肝癌患者介入治疗预后的危险因素,Logistic多因素分析表明肝功能Child分级、肿瘤大小、门静脉癌栓是影响中晚期肝癌患者介入治疗预后的独立危险因素。结论:介入治疗一定程度上能够提高患者的QOL,肝功能Child分级、肿瘤大小、门静脉癌栓、瘤肝比是影响中晚期肝癌介入治疗预后的危险因素,在治疗过程中应密切观察,制定针对性的方案以延长患者生存时间。