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Medical Image Analysis Oct 2016With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and represented and archived digitally. While digital pathology has... (Review)
Review
With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and represented and archived digitally. While digital pathology has substantial implications for telepathology, second opinions, and education there are also huge research opportunities in image computing with this new source of "big data". It is well known that there is fundamental prognostic data embedded in pathology images. The ability to mine "sub-visual" image features from digital pathology slide images, features that may not be visually discernible by a pathologist, offers the opportunity for better quantitative modeling of disease appearance and hence possibly improved prediction of disease aggressiveness and patient outcome. However the compelling opportunities in precision medicine offered by big digital pathology data come with their own set of computational challenges. Image analysis and computer assisted detection and diagnosis tools previously developed in the context of radiographic images are woefully inadequate to deal with the data density in high resolution digitized whole slide images. Additionally there has been recent substantial interest in combining and fusing radiologic imaging and proteomics and genomics based measurements with features extracted from digital pathology images for better prognostic prediction of disease aggressiveness and patient outcome. Again there is a paucity of powerful tools for combining disease specific features that manifest across multiple different length scales. The purpose of this review is to discuss developments in computational image analysis tools for predictive modeling of digital pathology images from a detection, segmentation, feature extraction, and tissue classification perspective. We discuss the emergence of new handcrafted feature approaches for improved predictive modeling of tissue appearance and also review the emergence of deep learning schemes for both object detection and tissue classification. We also briefly review some of the state of the art in fusion of radiology and pathology images and also combining digital pathology derived image measurements with molecular "omics" features for better predictive modeling. The review ends with a brief discussion of some of the technical and computational challenges to be overcome and reflects on future opportunities for the quantitation of histopathology.
Topics: Humans; Image Processing, Computer-Assisted; Machine Learning; Pathology; Precision Medicine; Radiology; Telepathology
PubMed: 27423409
DOI: 10.1016/j.media.2016.06.037 -
Archives of Pathology & Laboratory... Jun 2018
Topics: Humans; Pathologists; Pathology; Social Media
PubMed: 29848029
DOI: 10.5858/arpa.2017-0576-ED -
Archives of Pathology & Laboratory... Apr 2018
Topics: Pathology; Professionalism
PubMed: 29565211
DOI: 10.5858/arpa.2017-0504-LE -
Toxicologic Pathology Jul 2021is the official journal of the Society of Toxicologic Pathology (STP), the British Society of Toxicological Pathology, and the European STP (ESTP). publishes articles...
is the official journal of the Society of Toxicologic Pathology (STP), the British Society of Toxicological Pathology, and the European STP (ESTP). publishes articles related to topics in various aspects of toxicologic pathology such as anatomic pathology, clinical pathology, experimental pathology, and biomarker research. Publications include society-endorsed Best Practice/Position and Points to Consider publications and ESTP Expert Workshop articles that are relevant to toxicologic pathology and scientific regulatory processes, Opinion articles under the banner of the STP Toxicologic Pathology Forum, Original Articles, Review Articles (unsolicited/contributed, mini, and invited), Brief Communications, Letters to the Editor, Meeting Reports, and Book Reviews. This article provides details on the various publication categories in and will serve as a reference for authors and readers.
Topics: Humans; Pathology; Pathology, Clinical; Publications
PubMed: 33576326
DOI: 10.1177/0192623321992305 -
Archives of Pathology & Laboratory... Feb 2012In this time of significant change in pathology and medicine, pathology's future is uncertain. Many issues, including the emergence of molecular medicine, the demand for...
In this time of significant change in pathology and medicine, pathology's future is uncertain. Many issues, including the emergence of molecular medicine, the demand for personalized medicine, confusing payment schemes, increasing governmental regulation, medical education challenges, administrative relationships, and new malpractice concerns, are critical topics pathologists are addressing and must continue to address in the future to best assure quality health care for patients.
Topics: Humans; Pathology; Societies
PubMed: 22288960
DOI: 10.5858/arpa.2011-0563-ED -
The American Journal of Pathology Jul 2019The past decade has witnessed exponential growth in the generation of high-throughput human data across almost all known dimensions of biological systems. The discipline... (Review)
Review
The past decade has witnessed exponential growth in the generation of high-throughput human data across almost all known dimensions of biological systems. The discipline of network medicine has rapidly evolved in parallel, providing an unbiased, comprehensive biological framework through which to interrogate and integrate systematically these large-scale, multi-omic data to enhance our understanding of disease mechanisms and to design drugs that reflect a deep knowledge of molecular pathobiology. In this review, we discuss the key principles of network medicine and the human disease network and explore the latest applications of network medicine in this multi-omic era. We also highlight the current conceptual and technological challenges, which serve as exciting opportunities by which to improve and expand the network-based applications beyond the artificial boundaries of the current state of human pathobiology.
Topics: Humans; Pathology, Clinical; Pathology, Molecular
PubMed: 31014954
DOI: 10.1016/j.ajpath.2019.03.009 -
Toxicologic Pathology Jan 2017The 35th Annual Society of Toxicologic Pathology Symposium, held in June 2016 in San Diego, California, focused on "The Basis and Relevance of Variation in Toxicologic...
The 35th Annual Society of Toxicologic Pathology Symposium, held in June 2016 in San Diego, California, focused on "The Basis and Relevance of Variation in Toxicologic Responses." In order to review the basic tenants of toxicology, a "broad brush" interactive talk that gave an overview of the Cornerstones of Toxicology was presented. The presentation focused on the historical milestones and perspectives of toxicology and through many scientific graphs, data, and real-life examples covered the three basic principles of toxicology that can be summarized, as dose matters (as does timing), people differ, and things change (related to metabolism and biotransformation).
Topics: Animals; Dose-Response Relationship, Drug; History, 19th Century; History, 20th Century; History, 21st Century; History, Ancient; Humans; Pathology; Poisoning; Toxicology
PubMed: 28068892
DOI: 10.1177/0192623316675768 -
Cancer Cytopathology Jun 2017
Topics: Cytodiagnosis; Humans; Pathology
PubMed: 28609005
DOI: 10.1002/cncy.21825 -
Comparative Biochemistry and... Mar 2009Utilization of finfish and aquatic invertebrates in biomedical research and as environmental sentinels has grown dramatically in recent decades. Likewise the aquaculture... (Review)
Review
Utilization of finfish and aquatic invertebrates in biomedical research and as environmental sentinels has grown dramatically in recent decades. Likewise the aquaculture of finfish and invertebrates has expanded rapidly worldwide as populations of some aquatic food species and threatened or endangered aquatic species have plummeted due to overharvesting or habitat degradation. This increasing intensive culture and use of aquatic species has heightened the importance of maintaining a sophisticated understanding of pathology of various organ systems of these diverse species. Yet, except for selected species long cultivated in aquaculture, pathology databases and the workforce of highly trained pathologists lag behind those available for most laboratory animals and domestic mammalian and avian species. Several factors must change to maximize the use, understanding, and protection of important aquatic species: 1) improvements in databases of abnormalities across species; 2) standardization of diagnostic criteria for proliferative and nonproliferative lesions; and 3) more uniform and rigorous training in aquatic morphologic pathology.
Topics: Animals; Aquaculture; Environmental Monitoring; Fishes; Invertebrates; Pathology
PubMed: 18948226
DOI: 10.1016/j.cbpc.2008.10.002 -
Acta Cytologica 2020
Topics: Cytodiagnosis; Humans; Pathology, Clinical; Pathology, Molecular
PubMed: 31499498
DOI: 10.1159/000502373