A broad spectrum of health benefits from intermittent fasting have been reported in studies on animal models and human subjects. However, the underlying mechanisms of these beneficial effects remain largely elusive. The present study aimed to explore the effects and potential mode of action of intermittent fasting in mouse models with a focus on the liver. C57BL/6 mice were subjected to intermittent fasting or ad libitum feeding as controls. It was determined that 12 h of daily intermittent fasting for 30 days significantly reduced the cumulative food intake compared with that in mice with ad libitum feeding. Fasting resulted in a significantly reduced liver mass but only had a minimal effect on bodyweight. The effects on the liver by 30 days of fasting were not reversed by subsequent ad libitum refeeding for 30 days. Among the measured blood biochemical parameters, the levels of blood glucose were decreased, while the levels of alkaline phosphatase were increased in fasting mice. Of note, targeted metabolic profiling revealed global elevation of metabolites in the livers of fasting mice. These metabolic molecules included adenosine triphosphate, nicotinamide adenine dinucleotide phosphate (NADP), reduced NADP and succinate, which are essentially involved in the citric acid cycle and oxidative phosphorylation. Thus, it was concluded that daily 12 h of intermittent fasting for one month significantly reduced the liver weight of mice, which is associated with enhanced liver metabolism.

Esophageal squamous cell cancer with distant metastases has a poor prognosis. The metastatic sites usually involve the liver, bones, and lungs. Treatment of metastatic disease is essentially palliative and based on chemoradiotherapy. A 57-year-old man with a solitary metastatic mass of 82 × 58 mm in the left liver was treated on 19 October 2012. Irinotecan and cisplatin combination chemotherapy and nimotuzumab targeted therapy were administered. The liver metastatic mass was treated by stereotactic Gamma Knife radiosurgery. Complete remission of the primary disease and hepatic lesion was achieved, and no local or distant recurrence was found during the 7-year follow-up. Because extrahepatic lesions were ruled out and the local disease was completely locoregionally controlled, the use of stereotactic Gamma Knife radiosurgery to remove the hepatic lesion was justified and produced a reasonable outcome.

Background: Early-stage diagnosis and treatment can improve survival rates of liver cancer patients. Dynamic contrast-enhanced MRI provides the most comprehensive information for differential diagnosis of liver tumors. However, MRI diagnosis is affected by subjective experience, so deep learning may supply a new diagnostic strategy. We used convolutional neural networks (CNNs) to develop a deep learning system (DLS) to classify liver tumors based on enhanced MR images, unenhanced MR images, and clinical data including text and laboratory test results. Methods: Using data from 1,210 patients with liver tumors (N = 31,608 images), we trained CNNs to get seven-way classifiers, binary classifiers, and three-way malignancy-classifiers (Model A-Model G). Models were validated in an external independent extended cohort of 201 patients (N = 6,816 images). The area under receiver operating characteristic (ROC) curve (AUC) were compared across different models. We also compared the sensitivity and specificity of models with the performance of three experienced radiologists. Results: Deep learning achieves a performance on par with three experienced radiologists on classifying liver tumors in seven categories. Using only unenhanced images, CNN performs well in distinguishing malignant from benign liver tumors (AUC, 0.946; 95% CI 0.914-0.979 vs. 0.951; 0.919-0.982, P = 0.664). New CNN combining unenhanced images with clinical data greatly improved the performance of classifying malignancies as hepatocellular carcinoma (AUC, 0.985; 95% CI 0.960-1.000), metastatic tumors (0.998; 0.989-1.000), and other primary malignancies (0.963; 0.896-1.000), and the agreement with pathology was 91.9%.These models mined diagnostic information in unenhanced images and clinical data by deep-neural-network, which were different to previous methods that utilized enhanced images. The sensitivity and specificity of almost every category in these models reached the same high level compared to three experienced radiologists. Conclusion: Trained with data in various acquisition conditions, DLS that integrated these models could be used as an accurate and time-saving assisted-diagnostic strategy for liver tumors in clinical settings, even in the absence of contrast agents. DLS therefore has the potential to avoid contrast-related side effects and reduce economic costs associated with current standard MRI inspection practices for liver tumor patients.

Primary hepatic peripheral T-cell lymphoma (PHL) is extremely rare. A case of primary hepatic peripheral T-cell lymphoma of a 59-year-old male is presented in the current study. PHL lesions are diagnosed by the existence of a hepatic mass, in the absence of lymphadenopathy, splenomegaly or bone marrow involvement associated with normal tumor markers. Treatment options are surgical resection and subsequent chemotherapy. Histopathological examination by immunohistochemical staining of the tissue biopsies at laparotomy confirmed a diagnosis of PHL.

Hepatic tuberculosis is uncommon, lack of specific clinical manifestations and imaging features, so it can easily be misdiagnosed in clinical. Herein, we discuss variety of its forms and summarize the diagnosis and treatment of hepatic tuberculosis in this paper. Five cases of hepatic tuberculosis are described. The diagnosis, treatment and outcome of the patients are discussed. Image examination associated with image-guided fine needle aspiration biopsy is the best diagnostic method. In our center, three patients underwent needle biopsy and confirmed hepatic tuberculosis. In addition, two patients preoperative misdiagnosed as cholangiocarcinoma were confirmed hepatic tuberculosis by postoperative pathology. Three patients underwent surgical procedures along with anti-tubercular drug therapy, two patients received only anti-tubercular drug therapy. The renal post-transplantation patient with hepatic tuberculosis eventually died of multiple organ failure (MODS). The other four patients were followed for 48~120 months, yielding no recurrence of hepatic tuberculosis. In conclusion, hepatic tuberculosis usually associated with atypical clinical manifestations. Image examination associated with image-guided fine needle aspiration biopsy is the best diagnostic method. Anti-TB treatment is effective in most of cases. However, if there are indications for surgery or difficult to diagnose, surgical procedures along with anti-tubercular drug therapy could be adopted.