digital-pathology-2016_posters-accepted-abstracts

Page 52

Digital Pathology & Pathologists 2016

December 05-06, 2016

Volume 6 Issue 5(Suppl)

J Clin Exp Pathol

ISSN: 2161-0681 JCEP, an open access journal

conferenceseries

.com

December 05-06, 2016 Madrid, Spain

World Digital Pathology & Pathologists Congress

J Clin Exp Pathol 2016, 6:5(Suppl)

Integrated multiregional analysis proposing a new model of colorectal cancer evolution

Koshi Mimori

Kyushu University Beppu Hospital, Japan

ancer is heterogeneous disease; each tumor in different patients has different cancer genomes. Furthermore, another level

of heterogeneity exists: Even a single tumor harbors multiple genetically distinct subclones. This intratumor heterogeneity

is presumably one of causes of therapeutic difficulty and its understanding is clinically necessary. In this study, we investigated

intratumor heterogeneity in colorectal cancer by analyzing sample obtained from geographically separated regions of 9

colorectal tumors. Our integrated data analyses combined with computational simulation strongly suggest that, after clonally

shared alterations were accumulated by aging; numerous subclones were generated by neutral evolution. Importantly, this view

can explain the robustness and evolvability of cancer: Therapeutic action inducing an environmental change would convert

some of the numerous neutral mutations to driver genes that confer therapeutic resistance. We believe that this study not only

provides insights into colorectal cancer pathogenesis but also constitutes a new basis for designing therapeutic strategies.

Endomicroscopy, new surgical pathology & optical biopsy

O Ferrer-Roca

University of La Laguna, Spain

echnological advances in optical microscopy and the diagnostic capacity of a wide variety of optical techniques call for

a reappraisal of the role of the pathologist. Today, neither microscopes nor tissue staining and processing are essential

for diagnosis. However, in order to set the gold standard for these techniques, more publications on the morphology of in

vivo biopsies and non-invasive optical biopsies are needed. Those techniques should be the responsibility of pathologists or

alternatively should be a computational pathology left on the hands of Machine Learning techniques and Computer Vision

methods that automate image classification to support clinical decisions to thereafter be confirmed by pathologist taken as

“gold standards” on any robotic procedure. Following telemedicine similarities, this type of pathology is called: PoCP (Point

of Care Pathology) or real time morphological examination at a cellular level. It relies upon software identify procedures

showed in the paper such as: Artificial vision, automatic random sub windows and decision trees, content base image retrieval.

Together with all novel techniques such as liquid biopsy that should be progressively integrated in a Digital Pathology Lab.

We are facing a new sub-specialization that embraces most medical fields, in our case Pathology Informatics. It requires a

serious re-definition of medical training to introduce the Body of Knowledge (BoK) of “medical informatics, telemedicine and

bioengineering applied to distance or robotic medicine”. We must introduce a transversal and essential topic that assure that

the new robotic millennium provide medical support by experienced doctors trained to provide QoC (quality of care) with the

forthcoming tools.