Search

The purpose of this article is to investigate whether there is a difference in susceptibility to transcatheter arterial chemoembolization between hepatocellular carcinomas (HCCs) showing high uptake and those showing low uptake of gadoxetic acid in the hepatobiliary phase of MRI.One hundred HCCs that achieved optimal chemoembolization, as assessed by immediate CT in 60 patients, were classified as having high (n = 19) or low (n = 81) uptake of gadoxetic acid on MRI performed before chemoembolization. The local recurrence rates were estimated using the Kaplan-Meier method, and differences between the groups were compared using the log-rank test. The following factors were also correlated with the local recurrence rate using the Cox proportional hazards model for a univariate analysis: high uptake of gadoxetic acid, number of feeding arteries, extrahepatic arterial supply, Child-Pugh class, clinical tumor stage, size, location, and iodized oil accumulation in the noncancerous tissue surrounding the lesion. Parameters that were significant at p0.05 were entered into a multivariate model.The 1- and 3-year local recurrence-free rates were 95% in high-uptake HCCs and 66% and 54%, respectively, in low-uptake HCCs (log-rank test, p0.01). The low uptake of gadoxetic acid was the only significant predictor of early local recurrence (hazard ratio = 9.24; p = 0.03) by multivariate analysis.HCCs showing high uptake of gadoxetic acid appear to be susceptible to chemoembolization.

The purpose of this study was to evaluate the clinical significance of multiple focal pure ground-glass opacities (GGOs) on high-resolution CT images of patients with lung cancer.The cases of 23 patients with proven lung cancer and associated multiple focal pure GGOs on high-resolution CT images were retrospectively reviewed. The number, size, distribution, and morphologic characteristics of focal pure GGOs were evaluated. Serial changes in focal pure GGOs that were not surgically resected were analyzed at follow-up high-resolution CT.The number of focal pure GGOs was 196 in total. The size of the opacities ranged from 2 to 30 mm in largest diameter. Lung cancer and focal pure GGOs were seen in the same lobe and/or in the other lobes. One hundred seventy-one of the lesions (87%) had a well-defined border or round shape. Histologic findings were obtained for 15 lesions representing 74 focal pure GGOs that were surgically resected: 11 atypical adenomatous hyperplasia lesions, three bronchioloalveolar carcinomas, and one lesion of focal fibrosis. In 110 of the cases of focal pure GGOs, all of which were followed up with HRCT for a median duration of 1,351 days, the size of 105 lesions (95%) did not change, the size of one decreased, and four lesions disappeared.The size of most focal pure GGOs associated with lung cancer did not change during the follow-up period. Most of the small number of lesions histologically diagnosed were atypical adenomatous hyperplasia or bronchioloalveolar carcinoma. These data justify the therapeutic strategy of resecting the primary tumor without therapeutic intervention in the remaining focal pure GGOs.

The purpose of our study was to evaluate the diagnostic performance of an artificial neural network (ANN) in differentiating among certain diffuse lung diseases using high-resolution CT (HRCT) and the effect of ANN output on radiologists' diagnostic performance.We selected 130 clinical cases of diffuse lung disease. We used a single three-layer, feed-forward ANN with a back-propagation algorithm. The ANN was designed to differentiate among 11 diffuse lung diseases by using 10 clinical parameters and 23 HRCT features. Therefore, the ANN consisted of 33 input units and 11 output units. Subjective ratings for 23 HRCT features were provided independently by eight radiologists. All clinical cases were used for training and testing of the ANN by implementing a round-robin technique. In the observer test, a subset of 45 cases was selected from the database of 130 cases. HRCT images were viewed by eight radiologists first without and then with ANN output. The radiologists' performance was evaluated with receiver operating characteristic (ROC) analysis with a continuous rating scale.The average area under the ROC curve for ANN performance obtained with all clinical parameters and HRCT features was 0.956. The diagnostic performance of four chest radiologists and four general radiologists was increased from 0.986 to 0.992 (p = 0.071) and 0.958 and 0.971 (p0.001), respectively, when they used the ANN output based on their own feature ratings.The ANN can provide a useful output as a second opinion to improve general radiologists' diagnostic performance in the differential diagnosis of certain diffuse lung diseases using HRCT.

The purpose of our study was to discuss the incidence, predisposing factors, and clinical course of intrahepatic biloma after transcatheter arterial chemoembolization for hepatic tumors including hepatocellular carcinoma and metastatic liver tumor.Nine hundred seventy-two patients with hepatocellular carcinoma (n = 920) or metastatic liver tumor (n = 52) underwent chemoembolization during a 12-year period beginning in January 1989. We retrospectively reviewed the medical records and follow-up radiographs of chemoembolization and analyzed the risk factors associated with the development of intrahepatic biloma.Intrahepatic biloma developed after chemoembolization in 35 patients (3.6%, 35/972) in our series. The incidence of intrahepatic biloma formation in patients with metastatic liver tumor (9.6%, 5/52) was higher than that in patients with hepatocellular carcinoma (3.3%, 30/920) (p0.05, Fisher's exact test). The incidence of intrahepatic biloma formation in patients with hepatocellular carcinoma was statistically higher in patients with main tumor size of less than 5 cm and in those with the presence of intrahepatic bile duct dilatation. Technique-related risk factors such as injection site of drugs, repeated chemoembolization with frequency of less than 3 months, and regimen of chemoembolization significantly influenced the incidence of biloma formation in patients with hepatocellular carcinoma. No patient died of infected biloma or septicemia, but one patient died of hepatic failure 2 months after chemoembolization.Biloma formation was significantly more prevalent in the metastatic lesion group than in the hepatocellular carcinoma group. Significant prognostic factors for biloma formation in patients with hepatocellular carcinoma were tumor size of less than 5 cm, bile duct dilatation, proximal injection site, repeated injection with frequency of less than 3 months, and injection of a suspension of anticancer drugs.

We developed a new method to distinguish between various interstitial lung diseases that uses an artificial neural network. This network is based on features extracted from chest radiographs and clinical parameters. The aim of our study was to evaluate the effect of the output from the artificial neural network on radiologists' diagnostic accuracy.The artificial neural network was designed to differentiate among 11 interstitial lung diseases using 10 clinical parameters and 16 radiologic findings. Thirty-three clinical cases (three cases for each lung disease) were selected. In the observer test, chest radiographs were viewed by eight radiologists (four attending physicians and four residents) with and without network output, which indicated the likelihood of each of the 11 possible diagnoses in each case. The radiologists' performance in distinguishing among the 11 interstitial lung diseases was evaluated by receiver operating characteristic (ROC) analysis with a continuous rating scale.When chest radiographs were viewed in conjunction with network output, a statistically significant improvement in diagnostic accuracy was achieved (p.0001). The average area under the ROC curve was .826 without network output and .911 with network output.An artificial neural network can provide a useful "second opinion" to assist radiologists in the differential diagnosis of interstitial lung disease using chest radiographs.