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.     

鼻部源性突眼的CT分析

目的：为了提高对鼻部源性突眼的认识。材料和方法：本文19例鼻部源性突眼，其中鼻咽癌7例，鼻咽纤维血管瘤2例，鼻腔纤维血管瘤、恶性肉芽肿和嗅神经母细胞瘤各1例，上颌窦癌和软骨肉瘤各2例，上颌窦恶性肉芽肿、纤维肉瘤和恶性纤维组织细胞瘤各1例，全部病例均作轴位CT扫描，12例加作增强扫描，详细分析了它们CT表现。结果：源于鼻咽的放疗前鼻咽癌和纤维血管瘤，其病变主要位于鼻咽腔和咽旁，后者显著增强并有钙斑，与前者不同；源于上颌窦的肿瘤，病变占据上颌窦的全部或大部分，软骨肉瘤有钙斑且无强化，易与其它肿瘤区别，它们破坏上颌窦顶部进入眼眶；鼻腔嗅神经母细胞瘤在鼻腔和筛窦形成肿块，破坏筛骨眶板侵入眼眶。结论：根据CT所见，可判断突眼原因。     

A case of unilateral opercular syndrome associated with a subcortical lesion

Summary A patient who developed a unilateral opercular syndrome following a cerebrovascular accident is described. Computed tomography showed that the lesion did not affect the opercular cortex, but involved deep white matter and the head of the caudate nucleus of the left hemisphere. Persistent hypophonia and transient aphasia were associated. Comparison with previous cases is discussed.     

血糖水平对18F-FDG PET/CT图像质量的影响

目的 研究血糖水平对18F-脱氧葡萄糖(FDG) PET/CT图像质量的影响.方法 80例行体格检查或评价肿瘤性质的受检者,按空腹血糖水平分为9组(组间距为1mmol/L),第1组为血糖正常组,即血糖＜6.0mmol/L(10例);第2～9组血糖水平高于正常,分别为6.0～6.9mmol/L(11例),7.0～7.9mmol/L(13例),8.0～8.9mmol/L(11例),9.0～9.9mmol/L(11例),10.0～10.9mmol/L(8例),11.0～11.9mmol/L(6例),12.0～12.9mmol/L(5例),≥13.0mmol/L(5例).受检者做完PET/CT检查后,图像质量由2位有经验的医师独立判断.同时根据肝不同层面的标准摄取值(SUV)最大值(SUVmax)及SUV平均值(SUVavg)分别计算肝图像噪声.采用SPSS 12.0软件进行统计学处理.结果 (1)9组之间图像质量评分、肝噪声差异有统计学意义(P均＜0.05).将第2～9组图像质量评分、肝噪声分别与第1组进行比较,第2～7组与第1组差异无统计学意义(P均＞0.05);第8,9组与第1组比较差异有统计学意义(P均＜0.05),且评分低于第1组.(2)血糖水平与图像质量评分呈负相关(r=-0.52,P＜0.05);血糖水平与肝噪声呈正相关(SUVmax、SUVavgr值分别为0.33和0.60,P均＜0.05);SUVavg所算噪声与血糖水平的相关性优于SUVmax.结论 图像质量随血糖水平的升高而下降,血糖＜12.0mmol/L时与血糖正常者PET/CT图像质量差异无统计学意义,但当血糖水平≥12.0mmol/L时图像质量将显著下降.     

18F-FDG与18F-FLT PET/CT延迟显像对肺结节诊断效能的评价

目的 通过对多中心、前瞻性研究中接受了18F-脱氧葡萄糖(FDG)与18F-脱氧胸腺嘧啶核苷(FLT)延迟显像病例的分析,探讨18F-FDG与18F-FLT延迟显像对肺结节诊断的效能.方法 6个PET/CT中心,从2006年1月至2007年6月,按照统一标准,采用同机型、同一扫描条件,开展了肺结节样病变18F-FLT和18F-FDG PET/CT显像的多中心临床研究.在经确诊的55例病例中,25例患者进行了18F-FLT显像和延迟显像,34例患者进行了18F-FDG延迟显像.按常规计算延迟显像时病灶最大标准摄取值(SUVmax)及与早期显像时SUVmax相比的变化率(△SUVmax).对照临床确诊结果分析其诊断效能.采用SPSS11.0软件进行统计学处理.结果 18F-FDG延迟显像患者中,6例肺癌中5例、12例结核中9例、16例炎症或其他良性结节中9例的SUVmax较早期相升高.18F-FLT延迟显像组中,7例肺癌中3例、8例结核中3例和10例其他良性病灶中2例的SUVmax上升.经分组统计分析,不同疾病组间18F-FDG延迟显像SUVmax和△SUVmax差异无统计学意义;18F-FLT延迟显像SUVmax和△SUVmax组间差异也无统计学意义.无论18F-FDG还是18F-FLT,延迟显像的诊断效能均不如早期相.无论早期还是延迟显像,单独18F-FDG或18F-FLT显像的诊断效能均不如二者联合应用.结论 18F-FDG和18F-FLT延迟显像的SUVmax变化规律性不强,不宜单独应用于肺结节的鉴别诊断.     

547例垂体腺瘤延迟诊断原因及影像诊断分析

目的:提高垂体腺瘤特别是微腺瘤早期影像诊断率。方法:通过对所搜集病史资料完整,经医学影像学确诊和手术病理证实的547例垂体腺瘤(内有251例微腺瘤)延迟诊断原因的分析,找到影响垂体腺瘤早期诊断的因素。结果:296例垂体大腺瘤蝶鞍X线平片、CT、MR常规检查即可诊断。CT骨窗蝶鞍片有助于垂体微腺瘤的诊断,251例微腺瘤经高分辨力CT薄层冠状强化扫描和高场强MR薄层强化扫描得以明确诊断。结论:熟悉垂体腺瘤的首发症状,及时行CT、MR常规扫描可明确大腺瘤的诊断,CT骨窗片可发现垂体微腺瘤的佐证。高场强MR薄层强化扫描是目前诊断垂体微腺瘤的最佳方法,高分辨力CT冠状薄层强化扫描次之,结合神经内分泌学检查是提高垂体腺瘤影像学早期诊断率的主要措施。     

Focal vulnerability of developing brain: CT studies on disproportionally dilated lateral ventricles

Summary Cranial computed tomography (CT) of 108 cases with dilated lateral ventricles was reviewed to elucidate the relationship between focal vulnerability of developing brain and disproportional dilatation of lateral ventricles. CT findings of 108 cases with symmetrical dilatation of lateral ventricles were classified into three types by morphometry of lateral ventricles: anterior horn predominant type (31 cases), diffuse type (36 cases), posterior horn predominant type (41 cases). Posterior horn predominant type has a tendency to occur in congenital anomalies and premature brain damage, and anterior horn predominant type in infantile brain damage. This disproportional dilatation of anterior or posterior horns suggests a vulnerability of periventricular structure in developing brain.     

腔隙性脑梗死的MRI与CT的诊断价值

目的:探讨腔隙性脑梗死的影像学特点及其临床意义,比较MRI和CT的诊断价值。方法:对120例经临床、MRI诊断明确为腔隙性脑梗死患者的病灶形态大小、部位、数量进行统计。结果:①120例行MRI检查患者共发现病灶890个,最多见于豆状核(占40.8%),其次为放射冠、丘脑、内囊、尾状核、桥脑,可为圆形、椭圆形、条索状病灶。②32例既做CT,又做MRI患者中,MRI检出的病灶数为CT的5.1倍,其中绝大多数CT漏检病灶直径≤5mm或位于幕下。结论:①腔隙性脑梗死常为多发,且第一次临床发病时多数患者颅内已存在无症状性腔隙性脑梗死病灶;②腔隙性脑梗死灶易为CT忽略,尤其是幕下病灶或≤5mm的病灶,这是造成既往文献报道腔隙性脑梗死好发部位差异较大的一个主要原因;③尽管腔隙性脑梗死病灶较小(≤10mm),但大部分(60.0%)急性期存在在周边水肿,需要相应的临床治疗。