19 research outputs found
Histopathologic Cancer Detection
Early diagnosis of the cancer cells is necessary for making an effective
treatment plan and for the health and safety of a patient. Nowadays, doctors
usually use a histological grade that pathologists determine by performing a
semi-quantitative analysis of the histopathological and cytological features of
hematoxylin-eosin (HE) stained histopathological images. This research
contributes a potential classification model for cancer prognosis to
efficiently utilize the valuable information underlying the HE-stained
histopathological images. This work uses the PatchCamelyon benchmark datasets
and trains them in a multi-layer perceptron and convolution model to observe
the model's performance in terms of precision, Recall, F1 Score, Accuracy, and
AUC Score. The evaluation result shows that the baseline convolution model
outperforms the baseline MLP model. Also, this paper introduced ResNet50 and
InceptionNet models with data augmentation, where ResNet50 is able to beat the
state-of-the-art model. Furthermore, the majority vote and concatenation
ensemble were evaluated and provided the future direction of using transfer
learning and segmentation to understand the specific features.Comment: 5 pages, 5 figures, 2 table
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Rectal cancer lexicon: consensus statement from the society of abdominal radiology rectal & anal cancer disease-focused panel
Standardized terminology is critical to providing consistent reports to referring clinicians. This lexicon aims to provide a reference for terminology frequently used in rectal cancer and reflects the consensus of the Society of Abdominal Radiology Disease Focused Panel in Rectal cancer. This lexicon divided the terms into the following categories: primary tumor staging, nodal staging, treatment response, anal canal anatomy, general anatomy, and treatments
Knife wielding radiologist: A case report of primary pancreatic lymphoma
Majority of malignant pancreatic neoplasms are epithelial in origin and mostly arise from exocrine gland. Ductal adenocarcinoma compromises the major histological type of such tumors. Primary non-epithelial tumors of exocrine pancreatic gland are extremely rare and incorporate lymphoma and sarcoma. Primary pancreatic lymphoma compromises less than 0.5% of pancreatic malignancies. Primary pancreatic lymphoma can be difficult to differentiate from pancreatic adenocarcinoma and other neoplasms on imaging, and a correct diagnosis is crucial for appropriate patient management. Keywords: Primary pancreatic lymphoma, Malignant tumors of the pancreas, Primary anaplastic lymphoma, Pancrea
ACR TI-RADS: Pitfalls, Solutions, and Future Directions.
The high prevalence of thyroid nodules combined with the generally indolent growth of thyroid cancer present a challenge for optimal patient care. Risk classification models based on US features have been created by multiple professional societies, including the American College of Radiology (ACR), which published the Thyroid Imaging Reporting and Data System (TI-RADS) in 2017. ACR TI-RADS uses a standardized lexicon for assessment of thyroid nodules to generate a numeric scoring of features, designate categories of relative probability of benignity or malignancy, and provide management recommendations, with the aim of reducing unnecessary biopsies and excessive surveillance. Adopting ACR TI-RADS may require practice-level changes involving image acquisition and workflow, interpretation, and reporting. Significant resources should be devoted to educating sonographers and radiologists to accurately recognize features that contribute to the scoring of a nodule. Following a system that uses approved terminology generates reproducible and relevant reports while providing clarity of language and preventing misinterpretation. Comprehensive documentation facilitates quality improvement efforts. It also creates opportunities for outcome data and other performance metrics to be integrated with research. The authors review ACR TI-RADS, describe challenges and potential solutions related to its implementation based on their experiences, and highlight possible future directions in its evolution
Current update on combined hepatocellular-cholangiocarcinoma
Combined hepatocellular-cholangiocarcinoma is a rare but unique primary hepatic tumor with characteristic histology and tumor biology. Recent development in genetics and molecular biology support the fact that combined hepatocellular-cholangiocarcinoma is closely linked with cholangiocarcinoma, rather than hepatocellular carcinoma.
Combined hepatocellular cholangiocarcinoma tends to present with an more aggressive behavior and a poorer prognosis than either hepatocellular carcinoma or cholangiocarcinoma. An accurate preoperative diagnosis and aggressive treatment planning can play crucial roles in appropriate patient management