Hepatic sinusoidal obstruction syndrome (HSOS) can be easily missed or misdiagnosed as Budd-Chiari syndrome in clinical practice. The authors displayed the imaging pictures of one patient with HSOS and made a brief description of typical imaging features, underlying pathophysiological mechanisms, and differential diagnosis of HSOS, with the hope of improving the understanding of HSOS and reducing the rates of leak diagnosis or misdiagnosis.
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.
Lymphoma originating in the liver is rare and few clinical cases had been reported. The imaging manifestations of primary hepatic lymphoma (PHL) were lack of specificity and diverse. The authors displayed the CT and MRI images of one patient with diffuse infiltrating PHL and made a brief description of imaging features, underlying pathophysiological mechanisms, and differential diagnoses of PHL, with the hope of strengthening the understanding of PHL for clinicians and radiologists.
Hepatic angiomyolipoma (HAML) is a rare benign mesenchymal tumor of the liver, which has highly variable imaging appearances, often leads to missed diagnosis and misdiagnosis. The images of 2 patients with HAML confirmed by pathology were presented in this study, and the typical imaging features of the HAML, the underlying pathophysiological mechanism, and the differential diagnosis were briefly summarized so as to deepen the understanding of HAML and to improve the diagnosis and differential diagnosis abilities of HAML, then reduce the rates of missed diagnosis and misdiagnosis of the HAML.
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.
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 conclude the CT manifestations and pathological features of low-grade appendiceal mucinous neoplasms. Methods We reviewed the clinical and CT findings of 24 patients with low-grade appendiceal mucinous neoplasms, who were confirmed by pathology within 1 month after CT examination in SichuanProvincial People’s Hospital from January 2018 to December 2020. The distribution, morphological characteristics, cyst wall and internal characteristics, CT value and enhancement characteristics of tumors were be detected in detail. Results ① Distribution: of the 24 patients, 22 patients located in the appendix area of the right lower quadrant, 2 patients located in the right middle abdomen, and 2 patients located in the pelvic cavity. ② Morphological characteristics: of the 24 patients, 15 patients manifested as tubular, 3 patients manifested as ellipsoidal, 5 patients manifested as saccular, and 1 patient manifested as irregular shape. The average length of tumors was about 6.4 cm (4.2–12.0 cm), and the average short diameter of tumors was about 2.2 cm (0.8–5.0 cm). The short diameter of 17 patients were more than 1.5 cm. ③ The cyst wall and internal characteristics: all the 24 patients demonstrated as cystic mass, 6 patients had evenly thin and smooth cyst wall, and other 18 patients had uneven cyst wall. Of all the patients,8 patients had arc-shaped, punctate or eggshell-like calcification. ④ The CT value and enhancement characteristics: 24 patients examined by plain CT scan, 22 patients showed uniform low density (the CT value were 7–25 HU), 2 patients contained some slightly high density, 16 patients examined by enhanced CT, the cyst wall, separation, or mural nodules of 8 patients were slightly or moderately enhanced. ⑤ Pathological results: of all the gross specimens, 15 patients showed tubular dilation, 9 patients showed partial or complete dilation as cystic mass. All the 24 patients had gelatinous or mucinous contents. Microscopically, all the patients showed low-grade mucinous epithelial hyperplasia, submucosa, and mucosal muscle atrophy, accompanied by fibrosis or calcification. Conclusion Low-grade appendiceal mucinous neoplasms show some specific CT manifestations, recognize these features can improve the accuracy of preoperative CT.
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 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.
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.