3.0T 1H-MRS对脑胶质瘤及脑转移瘤的鉴别诊断

目的：利用3.0T氢质子磁共振波谱对胶质瘤和转移瘤的肿瘤组织区、瘤周水肿区进行细胞代谢物水平的检测,试图找出胶质瘤和脑转移瘤的鉴别诊断的依据,以及胶质瘤高、低级别组间的差别。方法：对经病理证实的20例高级别胶质瘤组、16例低级别胶质瘤组和19例脑转移瘤组患者,先行MRI平扫及增强扫描,波谱均在增强扫描的基础上获得,使用MR点分辨波谱序列,检测肿瘤组织区、瘤周水肿组织区NAA/Cr、Cho/Cr、NAA/Cho、NAA、Cho、Cr、Lip/Lac等值,进行比较。结果：（1）高级别胶质瘤与转移瘤在肿瘤组织区NAA/Cr代谢物浓度的比值有统计学意义。（2）高、低级别胶质瘤肿瘤组织内Cho/Cr比值有统计学意义。（3）转移瘤与高、低级别胶质瘤在瘤周水肿区NAA/Cr,以及低级别胶质瘤与转移瘤Cho/Cr代谢物浓度的比值有统计学意义;高级别胶质瘤与转移瘤瘤周区NAA代谢物浓度有明显差异。（4）胶质瘤高、低级别组间在肿瘤周围区NAA峰、Cho峰及NAA/Cho Cho/Cr代谢物浓度比值有统计学意义。（5）高级别胶质瘤和转移瘤分别与低级别胶质瘤在肿瘤组织区及瘤周水肿区Lip/Lac有显著性差异（P〈0.01）。结论：利用氢质子波谱可对胶质瘤和转移瘤进行鉴别诊断;Cho/Cr及NAA/Cho比值可对胶质瘤进行分级;Lip/Lac峰的出现与肿瘤的恶性度呈正相关,但不特异。     

能谱CT鉴别肺癌成骨性转移瘤与骨岛

目的:探讨能谱CT成像在鉴别诊断肺癌成骨性转移瘤(Osteoblastic metastases,OBMs)与骨岛(Bone island,BIs)的临床应用价值。方法:回顾性分析经病理证实的16例肺癌患者诊断为成骨性转移瘤36个病灶及临床诊断21例骨岛患者21个病灶,所有患者均行能谱CT扫描,测量各病灶40-140 ke V区间单能量水平CT值及钙(水)基物质浓度,最后计算出能谱曲线斜率k。采用独立样本t检验对两组各参数进行差异性比较分析。结果:OBMs的各水平单能量CT值、k值、钙(水)浓度均低于BIs,两组差异均有统计学意义(P0.05)。结论:能谱CT有助于鉴别诊断肺癌成骨性转移瘤与骨岛。     

论纵隔淋巴结转移与纵隔淋巴瘤的CT鉴别

目的:通过对纵隔淋巴结转移的举例说明与纵膈淋巴瘤的CT鉴别分别分析他们在临床上的表现。方法:纵隔淋巴结的转移是通过对86例临床病例以及与53例良性肿瘤进行对比;纵膈淋巴瘤的CT鉴别是通过对16例临床病例的观察进行阐述。结果:肺癌淋巴结的转移过程通常是发生在肿大部位的前几组,且病程长。结论:肺癌淋巴结的转移是呈规律性分布转移的,了解淋巴结的运动规律,就可以有效的改善病情。     

磁共振波谱成像结合扩散加权成像在脑胶质瘤及脑转移瘤鉴别诊断中的意义

目的:评估磁共振波谱成像(Proton Magnetic Resonance Spectroscopy,1H-MRS)联合磁共振扩散加权成像(Diffusion Weighted Imaging,DWI)在鉴别脑胶质瘤及孤立的脑转移瘤中的作用。方法:应用3.0T磁共振扫描仪,对临床手术确诊及组织病理学诊断证实的49例脑肿瘤患者(35例多形性胶质母细胞瘤,14例脑转移瘤)进行常规磁共振成像、磁共振波谱成像及磁共振扩散加权成像,并并对获得的数据进一步测量瘤内及瘤周区的代谢比、N-乙酰天门冬氨酸(NAA)、胆碱(Cho)、肌酸(Cr)值以及表观弥散系数(ADC值),分析两肿瘤组之间不同参数的统计学差异。此外,我们研究了感兴趣区域(ROI)的大小对肿瘤区域的病变扩散性能潜在影响。结果:胶质母细胞瘤瘤周N-乙酰天门冬氨酸(NAA)、肌酸(Cr),胆碱(Cho)/Cr,Cho/NAA和r CBV显著高于颅内转移瘤(P0.05);ADC值在两肿瘤组之间无显著差异(P0.05)。结论:在瘤周区1H-MRS有助于鉴别胶质母细胞瘤与单发的脑转移瘤。在瘤内扩散性的定量特性依赖ROI大小的设置。     

脑转移瘤CT诊断（附68例分析）

脑转移瘤是指身体其它部位的恶性肿瘤经血行、淋巴或直接侵入颅内者,亦可经脑脊液循环种植、转移。其很常见,约占颅内肿瘤的4％～10％。现将我院近四年的68例脑转移瘤CT资料进行报道,并结和国内外资料分析探讨。     

肺部炎性假瘤的CT影像学表现及其鉴别诊断价值

目的:分析肺部炎性假瘤的高分辨率CT影像学表现极其鉴别诊断的价值。方法:收集2012年4月-2015年4月我院收治的59例经手术病理检查证实为肺部炎性假瘤的患者为病例组,并于同一时期随机选取80例周围型肺癌患者为对照组。比较两组患者的高分辨率CT影像学特征,并分析各种影像学特征与肺部炎性假瘤的关系。结果:病例组刀切征、桃尖征及延迟期持续强化的发生率高于对照组,分叶征的发生率低于对照组(均P0.05)。多因素Spearman的秩相关分析发现,刀切征、桃尖征及延迟期持续强化与肺部炎性假瘤诊断呈正相关关系(r=0.738,0.829,0.763,均P0.05),分叶征与肺部炎性假瘤的诊断呈负相关关系(r=-0.791,P0.05)。结论:CT影像学表现中的刀切征、分叶征、桃尖征及延迟期持续强化对肺部炎性假瘤具有较高的鉴别诊断价值,可作为临床辅助诊断肺部炎性假瘤的重要影像学资料。     

脑转移瘤微环境响应与新治疗模态展望

脑转移瘤是中枢神经系统以外的肿瘤延及脑内形成的肿瘤,是癌症患者致残、致死的重要原因。近期,关于中枢神经系统微环境的研究引起神经肿瘤学界的广泛关注。与颅外病变的肿瘤微环境不同,中枢神经系统环境具有独特的细胞类型、营养限制条件和特殊的免疫环境。血源肿瘤细胞入侵中枢屏障后,经历休眠、定植、扩增、病灶沉积等一系列过程,最终形成继发性肿瘤。在此过程中,微环境与处于不同阶段的肿瘤细胞相互作用、相互依存,共同形成肿瘤脑转移的演进基础。该文重点探讨不同类型脑转移瘤的发病机制、微环境变化、新治疗手段,通过宏观到微观的系统论述与总结,揭示疾病发生发展规律与关键驱动因素,全面推进脑转移瘤的临床精准医疗。     

多排螺旋CT在颈部淋巴结结核的诊断与鉴别诊断

目的探讨多排螺旋CT诊断颈部淋巴结结核的临床应用价值。方法对2014年10月~2016年10月在我院经病理证实且接受临床治疗的颈部淋巴结结核患者58例的临床资料及CT图像进行分析。结果 58例患者均存在多个淋巴结同时受累情况,其颈部淋巴结大多为椭圆形、圆形,发病部位则以胸锁乳突肌及其周围组织为主,其中43例为单侧发病(74.14%),15例为双侧同时累及(32.61%)。多排螺旋CT检查可见颈部淋巴瘤表现为颈内静脉深淋巴结肿大,CT增强扫描后周边强化不明显。结论多排螺旋CT对颈部淋巴结结核病症进行诊断鉴别时,能清晰显示疾病情况以及相应的病理特征,对淋巴结的定性诊断有较高的价值。     

乳腺导管内乳头状瘤、非典型乳头状瘤与导管内乳头状癌诊断与鉴别诊断

目的:探讨乳腺导管内乳头状癌和导管内乳头状瘤、非典型乳头状瘤的病理表现及诊断与鉴别诊断.方法:对20例乳腺导管内乳头状癌及23例导管内乳头状瘤、5例非典型导管内乳头状瘤进行大体及镜下病理学分析及免疫组化分析,并结合文献对其病理表现、病理形态特点及鉴别诊断进行探讨.结果:20例乳腺导管内乳头状癌HE染色表现为导管明显扩张,有真性乳头,乳头之轴心由纤维血管束组成,乳头覆盖细胞有多种形式,但真正的肌上皮是缺如的.免疫组化SMA/p63显示局部或完全的肌上皮细胞消失,CEA85%的乳头状癌阳性.23例导管内乳头状瘤乳头存在肌上皮层,免疫组化结果与导管内乳头状癌相反.5例非典型乳头状瘤局部(＜1/3的区域)显示有不典型上皮增生,局部有肌上皮缺失.结论:乳腺导管内乳头状癌是一种具有乳头状癌样结构基础上的原位恶性上皮增生,但无浸润的癌.预后好于其他型导管原位癌,免疫标记SMA、p63和CEA可以帮助该肿瘤的诊断及与乳腺导管内乳头状瘤、非典型导管内乳头状瘤鉴别诊断.     

D W I对脑转移瘤及胶质瘤的应用价值

目的：探讨弥散加权成像（DWI）对脑转移瘤与胶质瘤鉴别诊断的应用价值。方法：对常规MR扫描检出的42例颅内占位痛人行DWI扫描,对病人术后痛理随访后,将高级胶质瘤、低级胶质瘤及脑转移瘤各分成一组,并测定肿瘤区、水肿区、时侧正常脑组织的表观弥散系数（ADC）值及相时ADC（rADC）值。结果：低级胶质瘤与转移瘤的瘤灶rADC值比较存在差异;高级别胶质瘤与转移瘤瘤周水肿的rADC值相比较存在差异。结论：DWI及瘤灶、瘤周rADC值的定量测定对脑转移瘤与胶质瘤的鉴别诊断具有一定的临床应用价值。     

中枢神经系统奴卡菌感染诊治分析附一例鼻疽奴卡菌脑脓肿

目的:了解中枢神经系统(CNS)奴卡菌感染的临床特点、诊治方法及预后。方法:对青岛大学附属医院收治的1例脑奴卡菌感染病例进行报道,并检索相关文献报道的脑奴卡菌感染共31例,对以上32例进行回顾性分析。结果:32例患者中,22例存在基础疾病,18例有糖皮质激素或免疫抑制剂治疗史。主要临床表现为头痛,发热,恶心、呕吐,口齿不清,意识障碍,肢体功能障碍等。7例接受复方磺胺甲噁唑单药治疗,17例接受复方磺胺甲噁唑联合其他抗生素治疗,8例接受喹诺酮类、氨基糖苷类、β-内酰胺类等联合治疗。23例好转或治愈,9例死亡。结论:免疫功能低下是中枢神经系统奴卡菌病的危险因素;奴卡菌培养阳性是确诊该病的惟一方法;应及早应用磺胺类药物,必要时结合外科手术治疗。     

脑肿瘤及脑肿瘤图像分类的研究进展

脑肿瘤分类的方法很多,目前尚无统一的分类方法,并且各种肿瘤的组织发生与病理特征不同,其良性与恶性以及物学特性也不一样。通常按组织学可分类如下：（1）发源于神经胶质的肿瘤：星形细胞瘤、少支胶质细胞瘤、髓母细胞瘤等。（2）发源于脑膜的肿瘤：脑膜瘤、脑膜肉瘤、蛛网膜囊肿等。（3）发源于垂体的肿瘤：厌色细胞腺瘤,嗜酸、嗜碱性细胞腺瘤。（4）发源于颅神经的肿瘤：听神经瘤、三又神经瘤等各种神经鞘瘤。（5）发源于胚胎残余组织：颅咽管瘤、脊索瘤、皮样囊肿等。（6）发源于血管细胞：血管瘤及血管网织细胞瘤等。（7）由其它部位转移或侵入的肿瘤：各种转移瘤及鼻咽癌等。     

脑肿瘤及脑肿瘤图像分类的研究进展

脑肿瘤分类的方法很多,目前尚无统一的分类方法,并且各种肿瘤的组织发生与病理特征不同,其良性与恶性以及物学特性也不一样。通常按组织学可分类如下:(1)发源于神经胶质的肿瘤:星形细胞瘤、少支胶质细胞瘤、髓母细胞瘤等。(2)发源于脑膜的肿瘤:脑膜瘤、脑膜肉瘤、蛛网膜囊肿等。(3)发源于垂体的肿瘤:厌色细胞腺瘤,嗜酸、嗜碱性细胞腺瘤。(4)发源于颅神经的肿瘤:听神经瘤、三叉神经瘤等各种神经鞘瘤。(5)发源于胚胎残余组织:颅咽管瘤、脊索瘤、皮样囊肿等。(6)发源于血管细胞:血管瘤及血管网织细胞瘤等。(7)由其它部位转移或侵入的肿瘤:各种转移瘤及鼻咽癌等。     

Spontaneous Nocardiosis With Brain Abscess Caused by Nocardia asteroides in a Cynomolgus Monkey

This paper deals with nocardiosis with brain abscess in a cynomolgus monkey imported from Indonesia. At necropsy, typical abscesses were found in the mandible, lung, kidney, heart, liver, and brain. Nocardia asteroides was isolated as the causative agent. The lesions in the kidney, heart, and brain were considered to be secondary metastases.     

A Hybrid CNN-SVM Threshold Segmentation Approach for Tumor Detection and Classification of MRI Brain Images

ObjectiveIn this research paper, the brain MRI images are going to classify by considering the excellence of CNN on a public dataset to classify Benign and Malignant tumors.Materials and MethodsDeep learning (DL) methods due to good performance in the last few years have become more popular for Image classification. Convolution Neural Network (CNN), with several methods, can extract features without using handcrafted models, and eventually, show better accuracy of classification. The proposed hybrid model combined CNN and support vector machine (SVM) in terms of classification and with threshold-based segmentation in terms of detection.ResultThe findings of previous studies are based on different models with their accuracy as Rough Extreme Learning Machine (RELM)-94.233%, Deep CNN (DCNN)-95%, Deep Neural Network (DNN) and Discrete Wavelet Autoencoder (DWA)-96%, k-nearest neighbors (kNN)-96.6%, CNN-97.5%. The overall accuracy of the hybrid CNN-SVM is obtained as 98.4959%.ConclusionIn today's world, brain cancer is one of the most dangerous diseases with the highest death rate, detection and classification of brain tumors due to abnormal growth of cells, shapes, orientation, and the location is a challengeable task in medical imaging. Magnetic resonance imaging (MRI) is a typical method of medical imaging for brain tumor analysis. Conventional machine learning (ML) techniques categorize brain cancer based on some handicraft property with the radiologist specialist choice. That can lead to failure in the execution and also decrease the effectiveness of an Algorithm. With a brief look came to know that the proposed hybrid model provides more effective and improvement techniques for classification.     

Progress on Potential Strategies to Target Brain Tumor Stem Cells

The identification of brain tumor stem cells (BTSCs) leads to promising progress on brain tumor treatment. For some brain tumors, BTSCs are the driving force of tumor growth and the culprits that make tumor revive and resistant to radiotherapy and chemotherapy. Therefore, it is specifically significant to eliminate BTSCs for treatment of brain tumors. There are considerable similarities between BTSCs and normal neural stem cells (NSCs), and diverse aspects of BTSCs have been studied to find potential targets that can be manipulated to specifically eradicate BTSCs without damaging normal NSCs, including their surface makers, surrounding niche, and aberrant signaling pathways. Many strategies have been designed to kill BTSCs, and some of them have reached, or are approaching, effective therapeutic results. Here, we will focus on advantages in the issue of BTSCs and emphasize on potential therapeutic strategies targeting BTSCs.     

Focus: Antimicrobial Resistance: Brain Abscess Caused by Nocardia asteroides in a Diabetic Patient: A Rare Case Report

Nocardial brain abscess is usually associated with immunodeficiency, but can sometimes emerge in healthy individuals. This infection can be acquired through inhalation or direct inoculation of the bacteria, followed by dissemination to various organs, including the brain, through blood circulation. Mortality rate due to nocardial cerebral abscess is three times higher than that associated with cerebral abscess caused by other types of bacteria. Moreover, patients with Nocardia asteroides-associated brain abscess show poorer prognosis compared to patients with brain abscess caused by other Nocardia species, which is probably due to the high tendency of N. asteroides to become resistant to numerous antibiotics. It is, therefore, of paramount importance to diagnose and treat N. asteroides cerebral abscess in patients as soon as possible. The current paper is a rare report of a brain abscess caused by N. asteroides in a diabetic patient who failed to respond to multiple antibiotics (trimethoprim/sulfamethoxazole and amikacin), but improved by receiving imipenem and linezolid, and was finally successfully treated by surgical operation and long-term antibiotic therapy (imipenem and linezolid).     

核酸适配体技术及其在肿瘤诊断和治疗中的应用

核酸适配体是一类通过指数富集的配体系统进化（SELEX）技术获得的具有独特三维构象的小分子RNA 或单链DNA。核酸适 配体能高亲和力和高特异性与靶点结合,同时具有自身分子质量小、免疫原性低、热/化学稳定性高、靶标分子范围广等特点,广泛应用 于疾病诊断、治疗、生物传感器、生物标志物筛选、新药研发等领域。综述近年来核酸适配体在肿瘤诊断和治疗方面的应用,并对核酸 适配体的临床研究现状、市场前景及面临挑战和发展趋势作简要分析。     

彩色多普勒超声检查在妇科肿瘤诊断中的准确性研究

目的:分析彩色多普勒超声检查在妇科良恶性肿瘤诊断方面的准确性,探讨其临床应用价值.方法:选取在我院经手术病理确诊的妇科肿瘤患者99例作为研究对象,其中恶性肿瘤组42例,良性肿瘤组57例;对两组患者术前CT和彩色B超检查结果进行回顾统计,分析彩超诊断妇科肿瘤的准确性.结果:彩色B超诊断的灵敏度为82.8％,CT诊断的灵敏度90.9％,组间差异无统计学意义,P＞0.05;彩超诊断的特异度为88.2％,CT诊断的特异度86.9％,组间差异无统计学意义,P＞0.05;CT与病理诊断的符合率为89.3％,彩色B超与病理诊断符合率为85.7％,组间差异无统计学意义,P＞0.05.结论:彩色多普勒超声对妇科良恶性肿瘤病变的诊断准确性高,具有较高的临床应用价值.