Primary Lymphohistiocytic Variant of Anaplastic Large Cell Lymphoma of the Stomach

Here, we report an unusual case of gastric anaplastic large cell lymphoma (ALCL), lymphohistiocytic variant, in a 70-year-old female patient who presented with epigastric pain, tarry stool and body weight loss. Endoscopic and imaging findings revealed a Bormann type II tumor in the stomach with perigastric lymphadenopathy and multiple tumor nodules in the liver. Total gastrectomy and liver biopsy were performed. Histologically, both gastric and hepatic tumors demonstrated anaplastic large neoplastic cells scattered among numerous reactive histiocytes. Immunostaining of these tumor cells reacted positively for CD30, CD3, CD45RO/UCHL1, and negatively for epithelial membrane antigen, CD68, lysozyme, CD15, CD79a, CD138, PAX5 and anaplastic lymphoma kinase. Both the morphologic and immunophenotypic findings supported the diagnosis of gastric ALCL of lymphohistiocytic variant with liver metastasis. This patient then received chemotherapy and was still alive after 17 months of follow-up, without evidence of residual disease

A noninvasive method for preoperative localization of breast microcalcifications

Wire localization of breast microcalcifications before surgical biopsy has been used for a long time. However, it causes patient's psychical trauma before operation with more cost of money and time as well. We design a noninvasive method using the concept of trigonometric function for preoperative localization. It can yield potential for cost-savings, increased efficacy in operating room and radiology scheduling, and patient comfort and convenience. Our method is simple and its failure rate is low

EORTC QLQ-BM22 Quality of Life Evaluation and Pain Outcome in Patients with Bone Metastases from Breast Cancer Treated with Zoledronic Acid

Background: We assessed the effect of zoledronic acid on quality of life (QOL) and pain outcome in breast cancer patients with bone metastases using the European Organization for Research and Treatment of Cancer bone metastases module (EORTC QLQ-BM22). Patients and Methods: Three hundred sixty-six breast cancer patients receiving zoledronic acid for bone metastases from 13 Centers were prospectively enrolled. QOL was evaluated using the EORTC QLQ-BM22 and pain outcome were measured monthly with a Visual Analog Scale (VAS) score for 24 months. Results: No significant change of functional scale (functional interference and psychosocial aspects) of the EORTC QLQ-BM22 was reported. Significant reduction of the symptom scale was noted after treatment compared with the baseline. The painful site subscale was significantly reduced during the first 12 months, with the exception the 6-month follow-up of point. Pain characteristics subscale was also significantly lower from the 2-month time point onwards. VAS scores indicated a significant reduction in pain over the course of the study to the 22-month time point follow-up compared to the baseline. Conclusion: Zoledronic acid treatment improved QOL of breast cancer patients with bone metastases by relieving bone pain

Functional and Structural Connectome Features for Machine Learning Chemo-Brain Prediction in Women Treated for Breast Cancer with Chemotherapy

Breast cancer is the leading cancer among women worldwide, and a high number of breast cancer patients are struggling with psychological and cognitive disorders. In this study, we aim to use machine learning models to discriminate between chemo-brain participants and healthy controls (HCs) using connectomes (connectivity matrices) and topological coefficients. Nineteen female post-chemotherapy breast cancer (BC) survivors and 20 female HCs were recruited for this study. Participants in both groups received resting-state functional magnetic resonance imaging (rs-fMRI) and generalized q-sampling imaging (GQI). Logistic regression (LR), decision tree classifier (CART), and xgboost (XGB) were the models we adopted for classification. In connectome analysis, LR achieved an accuracy of 79.49% with the functional connectomes and an accuracy of 71.05% with the structural connectomes. In the topological coefficient analysis, accuracies of 87.18%, 82.05%, and 83.78% were obtained by the functional global efficiency with CART, the functional global efficiency with XGB, and the structural transitivity with CART, respectively. The areas under the curves (AUCs) were 0.93, 0.94, 0.87, 0.88, and 0.84, respectively. Our study showed the discriminating ability of functional connectomes, structural connectomes, and global efficiency. We hope our findings can contribute to an understanding of the chemo brain and the establishment of a clinical system for tracking chemo brain

Investigation of chemotherapy-induced brain structural alterations in breast cancer patients with generalized q-sampling MRI and graph theoretical analysis

Abstract Background Breast neoplasms are the most common cancer among women in Taiwan. Cognitive deficits are common complications of breast cancer survivors treated with chemotherapy. The most frequently observed disorders involve executive function and memory impairment. With improvements in tumor intervention and the consequent increase in the number of cancer survivors, the quality of life of patients has become an important issue. We are interested in the early effects of chemotherapy on the brain structures of patients. In addition, generalized q-sampling imaging (GQI), a wide range of q-space datasets for a more accurate and sophisticated diffusion MR approach, was first used in this topic. Methods As diffusion tensor imaging (DTI) is associated with restrictions in the resolution of crossing fibers, we attempted to use GQI, which can overcome these difficulties and is advantageous over DTI for tractography of the crossing fibers. This cross-sectional study included two groups: breast cancer survivors who had completed their chemotherapy (n = 19) and healthy controls (n = 20). All participants underwent diffusion MRI exams and neuropsychological assessments. We included four parts in our image analysis, i.e., voxel-based statistical analysis, multiple regression analysis, graph theoretical analysis and network-based statistical analysis. Results The results from the voxel-based statistical analysis showed significantly lower GFA and NQA values in the breast cancer group than those in the control group. We found significant positive correlations between the FACT-Cog and GQI indices. In the graph theoretical analysis, the breast cancer group demonstrated significantly longer characteristic path length. Adjuvant chemotherapy affected the integrity of white matter and resulted in poor cognitive performance, as indicated by the correlations between the neuropsychological assessment scales and the GQI indices. In addition, it was found that the characteristic path lengths in the breast cancer group increased, indicating that the brain network integration became worse. Conclusions Our study demonstrated alterations in structural brain networks and associated neuropsychological deficits among breast cancer survivors