Is the new era of colorectal cancer classification finally here?

2013 ◽  
Vol 10 (7) ◽  
pp. 391-393 ◽  
Author(s):  
Iris D. Nagtegaal ◽  
J. Han J. M. van Krieken
Keyword(s):  
Colorectal Cancer ◽  
Cancer Classification ◽  
New Era

The Contemporary Role of Resection and Ablation in Colorectal Cancer Liver Metastases

2020 ◽  
Vol 04 (03) ◽  
pp. 291-302
Author(s):  
Mariam F. Eskander ◽  
Christopher T. Aquina ◽  
Aslam Ejaz ◽  
Timothy M. Pawlik
Keyword(s):  
Colorectal Cancer ◽  
Portal Vein ◽  
Surgical Oncology ◽  
Portal Vein Ligation ◽  
Safe Alternative ◽  
Colorectal Cancer Liver Metastases ◽  
Liver Remnant ◽  
New Era ◽  
Ablation Therapy

AbstractAdvances in the field of surgical oncology have turned metastatic colorectal cancer of the liver from a lethal disease to a chronic disease and have ushered in a new era of multimodal therapy for this challenging illness. A better understanding of tumor behavior and more effective systemic therapy have led to the increased use of neoadjuvant therapy. Surgical resection remains the gold standard for treatment but without the size, distribution, and margin restrictions of the past. Lesions are considered resectable if they can safely be removed with tumor-free margins and a sufficient liver remnant. Minimally invasive liver resections are a safe alternative to open surgery and may offer some advantages. Techniques such as portal vein embolization, association of liver partition with portal vein ligation for staged hepatectomy, and radioembolization can be used to grow the liver remnant and allow for resection. If resection is not possible, nonresectional ablation therapy, including radiofrequency and microwave ablation, can be performed alone or in conjunction with resection. This article presents the most up-to-date literature on resection and ablation, with a discussion of current controversies and future directions.

A New Era of Fibers in the Prevention of Colorectal Cancer

2010 ◽  
Vol 7 (1) ◽  
pp. 58-61 ◽  
Author(s):  
Nachum Vaisman
Keyword(s):  
Colorectal Cancer ◽  
New Era

Past, present and future perspectives of colorectal cancer—on the brink of a new era?

2002 ◽  
Vol 38 (7) ◽  
pp. 855-857
Author(s):  
J.H.J.M van Krieken ◽  
C van de Velde
Keyword(s):  
Colorectal Cancer ◽  
Future Perspectives ◽  
New Era

Upper Gastrointestinal Malignancies: A New Era in Clinical Colorectal Cancer

2009 ◽  
Vol 8 (4) ◽  
pp. 185-189 ◽  
Author(s):  
Eliza Hawkes ◽  
Ian Chau ◽  
David H. Ilson ◽  
David Cunningham
Keyword(s):  
Colorectal Cancer ◽  
Gastrointestinal Malignancies ◽  
New Era ◽  
Upper Gastrointestinal

scholarly journals New era of colorectal cancer screening

2016 ◽  
Vol 8 (5) ◽  
pp. 252 ◽  
Author(s):  
Maysaa El Zoghbi ◽  
Linda C Cummings
Keyword(s):  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
New Era

A New Deep Learning Model Selection Method for Colorectal Cancer Classification

2020 ◽  
Vol 11 (3) ◽  
pp. 72-88
Author(s):  
Nassima Dif ◽  
Zakaria Elberrichi
Keyword(s):  
Colorectal Cancer ◽  
Deep Learning ◽  
Learning Strategy ◽  
Cancer Classification ◽  
Complex Morphology ◽  
Histopathological Image ◽  
Voting Strategy ◽  
Deep Learning Model ◽  
Aided Diagnosis ◽  
Whole Slide Images

Deep learning is one of the most commonly used techniques in computer-aided diagnosis systems. Their exploitation for histopathological image analysis is important because of the complex morphology of whole slide images. However, the main limitation of these methods is the restricted number of available medical images, which can lead to an overfitting problem. Many studies have suggested the use of static ensemble learning methods to address this issue. This article aims to propose a new dynamic ensemble deep learning method. First, it generates a set of models based on the transfer learning strategy from deep neural networks. Then, the relevant subset of models is selected by the particle swarm optimization algorithm and combined by voting or averaging methods. The proposed approach was tested on a histopathological dataset for colorectal cancer classification, based on seven types of CNNs. The method has achieved accurate results (94.52%) by the Resnet121 model and the voting strategy, which provides important insights into the efficiency of dynamic ensembling in deep learning.

scholarly journals The Role of BRAF in Metastatic Colorectal Carcinoma–Past, Present, and Future

2020 ◽  
Vol 21 (23) ◽  
pp. 9001 ◽  
Author(s):  
Angela Djanani ◽  
Silvia Eller ◽  
Dietmar Öfner ◽  
Jakob Troppmair ◽  
Manuel Maglione
Keyword(s):  
Colorectal Cancer ◽  
Standard Of Care ◽  
Mitogen Activated Protein Kinase ◽  
Clinical Aspects ◽  
New Era ◽  
Dismal Prognosis ◽  
Negative Prognostic Factor ◽  
Extracellular Signal ◽  
Mitogen Activated Protein

With a global incidence of 1.8 million cases, colorectal cancer represents one of the most common cancers worldwide. Despite impressive improvements in treatment efficacy through cytotoxic and biological agents, the cancer-related death burden of metastatic colorectal cancer (mCRC) is still high. mCRC is not a genetically homogenous disease and various mutations influence disease development. Up to 12% of mCRC patients harbor mutations of the signal transduction molecule BRAF, the most prominent being BRAFV600E. In mCRC, BRAFV600E mutation is a well-known negative prognostic factor, and is associated with a dismal prognosis. The currently approved treatments for BRAF-mutated mCRC patients are of little impact, and there is no treatment option superior to others. However, the gradual molecular understanding over the last decades of the extracellular signal-regulated kinase/mitogen-activated protein kinase pathway, resulted in the development of new therapeutic strategies targeting the involved molecules. Recently published and ongoing studies administering a combination of different inhibitors (e.g., BRAF, MEK, and EGFR) showed promising results and represent the new standard of care. In this review, we present, both, the molecular and clinical aspects of BRAF-mutated mCRC patients, and provide an update on the current and future treatment approaches that might direct the therapy of mCRC in a new era.

scholarly journals Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach

2015 ◽  
Vol 16 (12) ◽  
pp. 13610-13632 ◽  
Author(s):  
Moisés Blanco-Calvo ◽  
Ángel Concha ◽  
Angélica Figueroa ◽  
Federico Garrido ◽  
Manuel Valladares-Ayerbes
Keyword(s):  
Colorectal Cancer ◽  
Cancer Classification ◽  
Cell Heterogeneity

scholarly journals A colorectal cancer classification system that associates cellular phenotype and responses to therapy

2013 ◽  
Vol 19 (5) ◽  
pp. 619-625 ◽  
Author(s):  
Anguraj Sadanandam ◽  
Costas A Lyssiotis ◽  
Krisztian Homicsko ◽  
Eric A Collisson ◽  
William J Gibb ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Classification System ◽  
Cancer Classification ◽  
Cellular Phenotype
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