Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features

PurposeThe purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC).Materials and MethodsEighty-nine patients with AIP (65 men, 24 women; mean age, 59.7 ± 13.9 [SD] years; range: 21–83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1 ± 12.3 [SD] years; range: 36–86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5 mm thickness/increment) were compared with thick-slices images (3 or 5 mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60 PDAC patients were used for training and those of 29 AIP and 33 PDAC independent patients were used for testing.ResultsThe pancreas was diffusely involved in 37 (37/89; 41.6%) patients with AIP and not diffusely in 52 (52/89; 58.4%) patients. Using machine learning, 95.2% (59/62; 95% confidence interval [CI]: 89.8–100%), 83.9% (52:67; 95% CI: 74.7–93.0%) and 77.4% (48/62; 95% CI: 67.0–87.8%) of the 62 test patients were correctly classified as either having PDAC or AIP with thin-slice venous phase, thin-slice arterial phase, and thick-slice venous phase CT, respectively. Three of the 29 patients with AIP (3/29; 10.3%) were incorrectly classified as having PDAC but all 33 patients with PDAC (33/33; 100%) were correctly classified with thin-slice venous phase with 89.7% sensitivity (26/29; 95% CI: 78.6–100%) and 100% specificity (33/33; 95% CI: 93–100%) for the diagnosis of AIP, 95.2% accuracy (59/62; 95% CI: 89.8–100%) and area under the curve of 0.975 (95% CI: 0.936–1.0).ConclusionsRadiomic features help differentiate AIP from PDAC with an overall accuracy of 95.2%.     

How accurate is atherosclerosis imaging by coronary computed tomography angiography?

Invasive coronary plaque imaging such as intravascular ultrasound and optical coherence tomography has been widely used to observe culprit or non-culprit coronary atherosclerosis, as well as optimize stent sizing, apposition and deployment. Coronary computed tomographic angiography (CTA) is non-invasively available to assess coronary artery disease (CAD) and has become an appropriate strategy to evaluate patients with suspected CAD. Given recent technologies, semi-automated plaque software is available to identify coronary plaque stenosis, volume and characteristics and potentially allows to be used for the assessment of more details of plaque information, progression and future risk as a surrogate tool of the invasive imaging modalities. This review article aims to focus on various evidence in coronary plaque imaging by coronary CTA and describes how accurate coronary CTA can classify coronary atherosclerosis.     

Association between de novo lipogenesis susceptibility genes and coronary artery disease

Background and aimsCoronary artery disease (CAD) is the principal cause of death in individuals with non-alcoholic fatty liver disease (NAFLD). The aim of this study was to use genetic epidemiology to study the association between de novo lipogenesis (DNL), one of the major pathways leading to NAFLD, and CAD risk.Methods and resultsDNL susceptibility genes were used as instruments and selected using three approaches: 1) genes that are associated with both high serum triglycerides and low sex hormone-binding globulin, both downstream consequences of DNL (unbiased approach), 2) genes that have a known role in DNL (biased approach), and 3) genes that have been associated with serum fatty acids, used as a proxy of DNL. Gene-CAD effect estimates were retrieved from the meta-analysis of CARDIoGRAM and the UK Biobank (～76014 cases and ～264785 controls). Effect estimates were clustered using a fixed-effects meta-analysis. Twenty-two DNL susceptibility genes were identified by the unbiased approach, nine genes by the biased approach and seven genes were associated with plasma fatty acids. Clustering of genes selected in the unbiased and biased approach showed a statistically significant association with CAD (OR:1.016, 95%CI:1.012; 1.020 and OR:1.013, 95%CI:1.007; 1.020, respectively), while clustering of fatty acid genes did not (OR:1.004, 95%CI:0.996–1.011). Subsequent exclusion of potential influential outliers did reveal a statistically significant association (OR:1.009, 95%CI:1.000; 1.018).ConclusionsDNL susceptibility genes are associated with an increased risk of CAD. These findings suggest that DNL may be involved in the pathogenesis of CAD and favor further development of strategies that target NAFLD through DNL.     

Current status and challenges of Additive manufacturing in orthopaedics: An overview

Additive manufacturing is a rapidly emerging technology which is being successfully implemented in the various field of medicine as well as in orthopaedics, where it has applications in reducing cartilage defects and treatments of bones. The technology helps through systematic collection of information about the shape of the "defects" and precise fabrication of complex 3D constructs such as cartilage, heart valve, trachea, myocardial bone tissue and blood vessels. In this paper, a large number of the relevant research papers on the additive manufacturing and its application in medical specifically orthopaedics are identified through Scopus had been studied using Bibliometric analysis and application analysis is undertaken. The bibliometric analysis shows that there is an increasing trend in the research reports on additive manufacturing applications in the field of orthopaedics. Discussions are on using technological advancement like scanning techniques and various challenges of the orthopaedic being met by additive manufacturing technology. For patient-specific orthopaedic applications, these techniques incorporate clinical practice and use for effective planning. 3D printed models printed by this technology are accepted for orthopaedic surgery such as revision of lumbar discectomy, pelvic surgery and large scapular osteochondroma. The applications of additive manufacturing in orthopaedics will experience a rapid translation in future. An orthopaedic surgeon can convert need/idea into a reality by using computer-aided design (CAD) software, analysis software to facilitate the manufacturing. Thus, AM provides a comprehensive opportunity to manufacture orthopaedic implantable medical devices.     

急性肺栓塞时心肌血流灌注的变化

目的观察急性肺栓塞（APE）后冠状动脉血流量及心脏肌钙蛋白T（cTnT）与肌红蛋白（Mb）含量变化，探讨心肌血流灌注在急性肺栓塞继发心肌损伤机制中的作用。方法通过介入方法经导管注入自体血栓选择性栓塞肺动脉，建立不同栓塞面积的急性肺栓塞动物模型。监测栓前、栓后5、30min，1、2h冠状动脉血流量变化及栓后4h血清cTnT与Mb含量。结果急性肺栓塞后血清cTnT与Mb含量升高。急性肺栓塞导致冠状动脉血流量显著下降，肺血管栓塞后15～30min降至最低值，30min后趋于平稳。右冠血流量下降程度与肺栓塞面积有显著相关性。结论冠状动脉血流量减少及血清心肌结构蛋白含量升高为急性肺栓塞继发心肌缺血改变提供了直接证据。急性心肌缺血严重影响急性肺栓塞的预后。     

2 121例老年急性冠脉综合征患者血清脂类浓度的分析

目的分析60岁以上老年人血清脂类水平的参考值,并探讨急性冠脉综合征与血脂指标的相关性.方法将3 766例健康成人分为≤60岁和＞60岁的两个年龄段,采用生物化学的方法测量他们的血脂水平,找出60岁以上老年人的脂类参考值.同时分析2 121例老年急性冠脉综合征病人的脂类指标.结果 60岁以上老年人血脂参考值为:TC 4.65±1.96×1.05mmol/L;TG 1.02±1.96×0.45mmol/L;HDL-C 1.47±1.96×0.40mmol/L;LDL-C 2.98±1.96×0.56mmol/L;ApoA1 1.32±1.96×0.25g/L;ApoB 0.99±1.96×0.35g/L,并且急性心肌梗死和不稳定性心绞痛病人血清脂类各项指标之间没有显著性差异.结论血清LDL-C/HDL-C＞5和TG ≥1.9mmol/L这两项联合指标比其他单独指标与老年人急性冠脉综合征关系更密切.     

正常小肠螺旋CT三期扫描技术和方法研究

目的探索正常小肠螺旋CT三期扫描技术和方法的最佳合理配伍关系。方法 80例正常小肠患者 ,随机分为两组 ,按两种配对参数各自进行螺旋CT三期扫描 ,通过双盲法分别选择确定两组显示良好影像质量小肠CT片 ,其中甲组 36例 ,乙组2 5例 ,两组经X2 检验 ,其P 相似文献   

重症颅脑损伤患者CT检查的护理

我院自 1997～ 2 0 0 1年以来 ,CT扫描诊断检查重症颅脑外伤 (GCS评分 3～ 8分 ) 16 4例 ,其中 16 1例平稳度过扫描期 ,3例因伤势严重在扫描过程中呼吸心跳停止 ,经抢救无效死亡。1　临床资料　　 16 4例重症颅脑损伤中 ,单纯颅内血肿 6 3例占 38% ;血肿伴脑挫裂伤 38例占 2 3%     

儿童颈椎间盘钙化症的影像诊断

目的 探讨儿童颈椎间盘钙化症的影像表现及诊断价值，并提高对本病的认识。方法 回顾分析16例儿童颈椎钙化性椎间盘病的影像表现。结果 16例患均行颈椎平片检查，5例行CT扫描并作了三维重建，8例行MRI检查。16例平片均显示了椎间盘钙化灶，均为单发，CT平扫加三维重建显示4例钙化呈卵圆形，1例钙化为不规则形。MRI检查不仅显示了椎间盘内改变还清晰显示了病变相邻椎体边缘信号改变，在T1、T2加权像上呈低信号。结论 平片检查可以显示椎间盘钙化；CT平扫加三维重建能清晰显示了钙化灶的大小、形态；MRI检查在显示受累椎体及周围组织的改变方面明显优于CT和平片。