摘要:目的:研究胸腺瘤与前纵隔(血管前间隙)淋巴瘤的MSCT表现,提高对二者的诊断与鉴别诊断能力。方法:回顾性分析经手术病理证实的30例胸腺瘤与18例血管前间隙淋巴瘤MSCT表现,着重观察肿瘤的密度、形态及其与周围结构的关系。结果:30例胸腺瘤中,24例良性胸腺瘤与邻近大血管分界清晰,肿块表现 “D”字或反“D”字状,平扫CT值16~59 Hu,增强CT值20~110 Hu;6例侵袭性胸腺瘤边界不清,呈分叶状、不规则形,密度不均,平扫CT值23~42 Hu,增强CT值23~60 Hu。18例淋巴瘤中,单发于前上纵隔者6例,其余12例呈多结节、肿块状,侵入血管间隙生长,致大血管受压,增强扫描呈轻度强化,常伴有其它部位淋巴结增大。结论:MSCT能清晰显示胸腺瘤与前纵隔淋巴瘤的影像学表现特征,并能有效提高对二者的鉴别诊断。Abstract: Objective: To diagnosis and differentiate thymoma and malignant lymphoma in the anterior mediastinum on the basis of multislice CT (MSCT) imaging features. Methods:We retrospectively reviewed 30 cases with thymoma and 18 cases with malignant lymphoma proven by surgery and pathology.More attention was put on the density, morphology and relation with the surrounding structures of the tumors. Results: The CT manifestations of 30 cases of thymoma were shown as: For 24 cases of benign thymoma, the boundaries were clear, the shapes were “D” signs or contra“D” signs, CT attenuation value were 1659Hu and 20110Hu on unenhanced and contrastenhanced scanning. For 6 cases of malignant thymoma, the boundaries were unclear, the shapes were lobulated or irregular, the density was heterogeneous, CT attenuation value were 2342Hu and 2360Hu on unenhanced and contrastenhanced scanning. For 18 cases of malignant lymphoma, 6 cases were located at anterior mediastinum, 12 cases were nodes or multiple mass, enveloped the neighboring vessel structures, mildly enhanced on contrastenhanced scanning, and associated with enlargement of lymph nodes in other place. Conclusion: MSCT can display the imaging features of thymoma and anterior mediastinal lymphoma, and effectively differentiate thymoma and mediastinal lymphoma.
Objective To explore the value of three-dimensional contrast-enhanced ultrasound angiography in the differential diagnosis of breast masses. Methods A total of 120 patients with breast masses who were treated in our hospital from July 2013 to February 2016 were selected as the research objects retrospectively, including 70 patients of benign tumor (benign group) and 50 patients of malignant tumor (malignant group) that confirmed by surgery and pathology. All patients were given conventional two-dimensional ultrasound and three-dimensional contrast-enhanced ultrasound angiography during the diagnosis. Compared the imaging features of benign group and malignant group, and compared the diagnostic value of two-dimensional ultrasound and three-dimensional contrast-enhanced ultrasound angiography for breast masses. Results Compared with benign group, the rates of irregular masses, unclear boundary, inhomogeneous echo, lateral shadowing, echo attenuation, and micro calcification in the malignant group were all higher (P<0.05). The three-dimensional contrast-enhanced ultrasound angiography scores in malignant group and benign group were significantly different with each other (P<0.05), the score of the malignant group was higher than that of benign group. The 2- and 3-score was common in benign group, but 4- and 5-score was common in malignant group. The diagnostic sensitivity of two-dimensional ultrasound and three-dimensional contrast-enhanced ultrasound angiography for breast masses were 97.1% (68/70) and 98.6% (69/70) respectively, and the specificity were 80.0% (40/50) and 96.0% (48/50) respectively, the specificity of three-dimensional contrast-enhanced ultrasound angiography was significantly higher than that of two-dimensional ultrasound (P<0.05). Conclusion Two-dimensional ultrasound and three-dimensional contrast-enhanced ultrasound angiography both have a certain diagnostic value in the differential diagnosis of breast masses, but the three dimensional contrast-enhanced ultrasound angiography can get more information through assessment of richness of the microvascular in tumor tissue, so as to improve the diagnostic specificity and is worthy of popularization and application.
Objective To summarize the updates of diagnosis and differential diagnosis for hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT) for providing evidences for early diagnosis and treatment of PVTT patients. Methods The related literatures on diagnosis and differential diagnosis for HCC with PVTT in recent years were collected and reviewed. Results The serious complications and tumor metastasis are attributed to the PVTT, then it is necessary to make diagnosis accurately according to clinical symptoms, hematological and imaging examinations. The differential diagnosis of PVTT and portal vein thrombosis, portal sponge degeneration and hepatic arteriovenous shunt diseases should be carried out. Conclusions The diagnosis and differential diagnosis of PVTT cannot rely on a single method, and it requires a comprehensive judgment of various diagnostic methods. More accurate and specific diagnostic methods are needed.
Objective To compare the clinicopathological features of hilar cholangiocarcinoma (HCCA) and hilar benign diseases, and then explore the value of carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) in the differential diagnosis between them. Methods Clinical data of 65 patients (54 patients with HCCA and 11 patients with hilar benign diseases) who were diagnosed as HCCA and received treatment from January 2011 to October 2015 in our hospital were retrospectively analyzed. Comparison of clinical data of HCCA patients and patients with hilar benign diseases in age, gender, disease duration, clinical manifestation, laboratory examination, and imaging examination was performed, and the receiver operating characteristic curve (ROC) was used to explore the value of CA19-9 and CEA in differential diagnosis between hilar benign diseases and HCCA. Results The age, levels of serum CA19-9, CEA, alanine aminotransferase (ALT), total bilirubin (BILT), and direct bilirubin (BILD) of HCCA group were significantly higher than that in benign group (P<0.05). However, the gender, disease duration, clinical manifestations (including jaundice, abdominal discomfort, fever, and weight loss), serum aspartate aminotransferase (AST), serum alkaline phosphatase (ALKP), and imaging findings (including hilar mass, intrahepatic bile duct dilatation, thickening of the bile duct wall, lymph node enlargement, vascular invasion, and gallbladder invasion) had no significant difference between the 2 groups (P>0.05). The ROC curve results showed that, when cut-off point for CA19-9 was 233.15 U/mL, the sensitivity was 56% and specificity was 91%; when cut-off point for CEA was 2.98 ng/mL, the sensitivity was 61% and specificity was 90%. Conclusions For the differential diagnosis between HCCA and hilar benign diseases, the elderly patients with high levels of serum transaminase and bilirubin were more likely to be malignant. It is more likely to be malignant when the serum CA19-9>233.15 U/mL or CEA>2.98 ng/mL.
Objective To determine feasibility of texture analysis of CT images for the discrimination of hepatic epithelioid hemangioendothelioma (HEHE) and liver metastases of colon cancer. Methods CT images of 9 patients with 19 pathologically proved HEHEs and 18 patients with 38 liver metastases of colon cancer who received treatment in West China Hospital of Sichuan University from July 2012 to August 2016 were retrospectively analyzed. Results Thirty best texture parameters were automatically selected by the combination of Fisher coefficient (Fisher)+classification error probability combined with average correlation coefficients (PA)+mutual information (MI). The 30 texture parameters of arterial phase (AP) CT images were distributed in co-occurrence matrix (22 parameters), run-length matrix (1 parameter), histogram (4 parameters), gradient (1 parameter), and autoregressive model (2 parameters). The distribution of parameters in portal venous phase (PVP) were co-occurrence matrix (18 parameters), run-length matrix (2 parameters), histogram (7 parameters), gradient (2 parameters), and autoregressive model (1 parameter). In AP, the misclassification rates of raw data analysis (RDA)/K nearest neighbor classification (KNN), principal component analysis (PCA)/KNN, linear discriminant analysis (LDA)/KNN, and nonlinear discriminant analysis, and nonlinear discriminant analysis (NDA)/artificial neural network (ANN) was 38.60% (22/57), 42.11% (24/57), 8.77% (5/57), and 7.02% (4/57), respectively. In PVP, the misclassification rates of RDA/KNN, PCA/KNN, LDA/KNN, and NDA/ANN was 26.32% (15/57), 28.07% (16/57), 15.79% (9/57), and 10.53% (6/57), respectively. The misclassification rates of AP and PVP images had no statistical significance on the misclassification rates of RDA/KNN, PCA/KNN, LDA/KNN, and NDA/ANN between AP and PVP (P>0.05). Conclusion The texture analysis of CT images is feasible to identify HEHE and liver metastases of colon cancer.
Objective To explore the efficacy of a novel detection technique of circulating tumor cells (CTCs) to identify benign and malignant lung nodules. Methods Nanomagnetic CTC detection based on polypeptide with epithelial cell adhesion molecule (EpCAM)-specific recognition was performed on enrolled patients with pulmonary nodules. There were 73 patients including 48 patients with malignant lesions as a malignant group and 25 patients with benign lesion as a benign group. There were 13 males and 35 females at age of 57.0±11.9 years in the malignant group and 11 males and 14 females at age of 53.1±13.2 years in the benign group. e calculated the differential diagnostic efficacy of CTC count, and conducted subgroup analysis according to the consolidation-tumor ratio, while compared with PET/CT on the efficacy. Results CTC count of the malignant group was significantly higher than that of the benign group (0.50/ml vs. 0.00/ml, P<0.05). Subgroup analysis according to consolidation tumor ratio (CTR) revealed that the difference was statistically significant in pure ground glass (pGGO) nodules 1.00/mlvs. 0.00/ml, P<0.05), but not in part-solid or pure solid nodules. For pGGO nodules, the area under the receiver operating characteristic (ROC) curve of CTC count was 0.833, which was significantly higher than that of maximum of standardized uptake value (SUVmax) (P<0.001). Its sensitivity and specificity was 80.0% and 83.3%, respectively. Conclusion The peptide-based nanomagnetic CTC detection system can differentiate malignant tumor and benign lesions in pulmonary nodules presented as pGGO. It is of great clinical potential as a noninvasive, nonradiating method to identify malignancies in pulmonary nodules.
Objective To improve accuracy of clinical diagnosis through analyzing the CT characteristics and clinical manifestations of patients with benign lung diseases whose CT manifestations initially led to a suspicion of lung cancer. Methods This study collected 2 239 patients of benign lung disease verified by postoperative pathology in the Department of Thoracic Surgery, Beijing Chao-yang Hospital from June 2006 to December 2016. Lesions of 173 patients (101 males and 72 females with a mean age of 56.0 years) were considered very likely to be malignant on preoperative contrast CT scan, which were sorted to 20 types of lung diseases, and the 20 types of diseases contained 907 patients diagnosed or misdiagnosed. Statistical analyses were performed using the CT and clinical characteristics of the 173 patients. Results Among the 907 patients with benign lung disease, the benign pathologies that were most commonly misdiagnosed by preoperative enhanced CT were pulmonary leiomyoma (100.0%), pulmonary actinomycosis (75.0%), pulmonary cryptococcosis (71.4%), sclerosing hemangioma (50.0%) and organizing pneumonia (44.2%). Among the 173 patients with benign diseases, the most common diseases were tuberculosis (29.5%), organizing pneumonia (28.9%), pulmonary hamartoma (6.4%) and pulmonary abscess (6.4%). In the 173 patients, 17.3% had fever, 56.6% coughing, 8.7% yellow sputum, 28.9% hemoptysis, 16.2% chest pain, 18.5% elevated leukocyte counts and 4.6% elevated carcinoembryonic antigen levels. Most of the CT manifestations consisted of nodular or mass shadows, 70.5% of which had foci≤3 cm and manifestations were similar to those of lung cancer, such as a spiculated margin (49.1%), lobulation (33.5%), pleural indentation (27.2%) and significant enhancement (39.3%). Furthermore, some patients had uncommon tumor signs, such as calcification (12.7%), central liquefactive necrosis (18.5%), satellite foci (9.8%) and multiple pulmonary nodules (42.2%). Moreover, 24.3% of the patients had enlarged lymph nodes of the mediastinum or hilum. Conclusion As the CT manifestations of some benign lung conditions are similar to those of lung cancer, careful differential diagnosis is necessary to identify the basic characteristics of the disease when the imaging results are ambiguous, and the diagnosis of a lung disease need incorporate the patients' clinical characteristics and a comprehensive analysis.
Objective To determine feasibility of texture analysis of CT images for the discrimination of nonhypervascular pancreatic neuroendocrine tumor (PNET) from pancreatic ductal adenocarcinoma (PDAC). Methods CT images of 15 pathologically proved as PNETs and 30 PDACs in West China Hospital of Sichuan University from January 2009 to January 2017 were retrospectively analyzed. Results Thirty best texture parameters were automatically selected by the combination of Fisher coefficient (Fisher)+classification error probability combined with average correlation coefficients (PA)+mutual information (MI). The 30 texture parameters of arterial phase (AP) CT images were distributed in co-occurrence matrix (18 parameters), run-length matrix (10 parameters), and autoregressive model (2 parameters). The distribution of parameters in portal venous phase (PVP) were co-occurrence matrix (15 parameters), run-length matrix (10 parameters), histogram (1 parameter), absolute gradient (1 parameter), and autoregressive model (3 parameters). In AP and PVP, the parameter with the highest diagnostic performance were both Teta2, and the area under curve (AUC) value was 0.829 and 0.740 (P<0.001,P=0.009), respectively. By the B11 of MaZda, the misclassification rate of raw data analysis (RDA)/K nearest neighbor classification (KNN), principal component analysis (PCA)/KNN, linear discriminant analysis (LDA)/KNN, and nonlinear discriminant analysis (NDA)/artificial neural network (ANN) was 28.89% (13/45), 28.89% (13/45), 0 (0/45), and 4.44% (2/45), respectively. In PVP, the misclassification rate of RDA/KNN, PCA/KNN, LDA/KNN, and NDA/ANN was 35.56% (16/45), 33.33% (15/45), 4.44% (2/45), and 11.11% (5/45), respectively. Conclusions CT texture analysis is feasible in the discrimination of nonhypervascular PNET and PDAC. Teta2 is the parameter with the highest diagnostic performance, and in AP, LDA/KNN modality has the lowest misclassification rate.
ObjectiveTo investigate misdiagnosis of primary squamous cell carcinoma of liver (PSCCL) as cholangiocarcinoma before operation and its clinical manifestations, imaging manifestations, etiology, histological origin, pathological characteristics, diagnosis and differential diagnosis, selection of treatment methods, and prognosis, so as to improve understanding and reasonable diagnosis and treatment of disease.MethodThe clinicopathologic data of a case of PSCCL misdiagnosed as cholangiocarcinoma in the West China Hospital of Sichuan University were analyzed retrospectively.ResultsThe patient was admitted to the West China Hospital of Sichuan University with the right hepatic space occupying. The preoperative imaging examination showed that the patient had the imaging characteristics of hepatic cholangiocarcinoma, then the right hemihepatectomy was performed. The postoperative pathological diagnosis was the PSCCL.ConclusionsPreoperative diagnosis of PSCCL is extremely difficult and it is difficult to differentiate it from primary liver cancer, and it is easy to overlook liver metastasis’s occurrence in other parts of the squamous cell carcinoma, which leads to liver metastasis. It is usually diagnosed by pathological diagnosis after operation, and then original lesions in other parts are excluded by various examinations. PSCCL is treated in a variety of ways, but it’s prognosis is not good. At present, there is no unified treatment principle, most of which are surgery, followed by postoperative radiotherapy and chemotherapy. In most cases, because PSCCL’s etiology is unknown and mechanism is not clear, clinicians can only implement individualized treatment according to patient’s condition.
ObjectiveTo summarize the clinical and imaging features of hepatic adrenal rest tumor and to explore its tissue source, diagnosis, differential diagnosis and treatment.MethodsThe clinical data of patient with hepatic adrenal rest tumor in the West China Hospital of Sichuan University were analyzed retrospectively. The diagnostic methods of liver adrenal junction were summarized by consulting relevant literatures.ResultsThe patient was admitted to the hospital with right hepatic lesions. The preoperative imaging examination showed that it was the imaging features of hepatocellular carcinoma. The right hemihepatectomy was proposed. During the operation, it was found that the lesions were not from the liver, but from the retroperitoneum (The possibility of adrenal origin was very high). Then, the retroperitoneal occupying lesions was completely resected via urology surgery consultation. The pathological results showed that the tumor was adrenocortical carcinoma.ConclusionsIt is very difficult to accurately diagnose nature of hepatic adrenal rest tumor before operation only by results of cross-sectional imaging, especially for some adrenal tumor. It needs to fully be evaluated and even to perform multidisciplinary discussion if necessary for patients who have hepatic adrenal rest tumor before operation, so as to avoid misdiagnosis to a certain extent.