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* Context.--The Logical Observation Identifiers Names and Codes (LOINC) system is supposed to facilitate interoperability, and it is the federally required code for exchanging laboratory data. Objective.--To provide an overview of LOINC, emerging issues related to its use, and areas relevant to the pathology laboratory, including the subtleties of test code selection and importance of mapping the correct codes to local test menus. Data Sources.--This review is based on peer-reviewed literature, federal regulations, working group reports, the LOINC database (version 2.65), experience using LOINC in the laboratory at several large health care systems, and insight from laboratory information system vendors. Conclusions.--The current LOINC database contains more than 55 000 numeric codes specific for laboratory tests. Each record in the LOINC database includes 6 major axes/parts for the unique specification of each individual observation or measurement. Assigning LOINC codes to a laboratory's test menu should be a defined process. In some cases, LOINC can aid in distinguishing laboratory data among different information systems, whereby such benefits are not achievable by relying on the laboratory test name alone. Criticisms of LOINC include the complexity and resource-intensive process of selecting the most correct code for each laboratory test, the real-world experience that these codes are not uniformly assigned across laboratories, and that 2 tests that may have the same appropriately assigned LOINC code may not necessarily have equivalency to permit interoperability of their result data. The coding system's limitations, which subsequently reduce the potential utility of LOINC, are poorly understood outside of the laboratory. (Arch Pathol Lab Med. 2020;144:229-239; doi: 10.5858/arpa.2018-0477-RA), The transformation of the US health care system from paper-based records to electronic reporting has brought significant changes to the practice of routine patient care, population research, and public health [...]

Context.--Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a necessary first step for a wide array of digital tools to enter the field. Its basic function is to digitize glass slides, but its impact on pathology workflows, reproducibility, dissemination of educational material, expansion of service to underprivileged areas, and intrainstitutional and interinstitutional collaboration exemplifies a significant innovative movement with far-reaching effects. Although the benefits of WSI to pathology practices, academic centers, and research institutions are many, the complexities of implementation remain an obstacle to widespread adoption. In the wake of the first regulatory clearance of WSI for primary diagnosis in the United States, some barriers to adoption have fallen. Nevertheless, implementation of WSI remains a difficult prospect for many institutions, especially those with stakeholders unfamiliar with the technologies necessary to implement a system or who cannot effectively communicate to executive leadership and sponsors the benefits of a technology that may lack clear and immediate reimbursement opportunity. Objectives.--To present an overview of WSI technology--present and future--and to demonstrate several immediate applications of WSI that support pathology practice, medical education, research, and collaboration. Data Sources.--Peer-reviewed literature was reviewed by pathologists, scientists, and technologists who have practical knowledge of and experience with WSI. Conclusions.--Implementation of WSI is a multifaceted and inherently multidisciplinary endeavor requiring contributions from pathologists, technologists, and executive leadership. Improved understanding of the current challenges to implementation, as well as the benefits and successes of the technology, can help prospective users identify the best path for success. doi: 10.5858/arpa.2018-0343-RA, Pathology as a practice vitally relies on the accurate interpretation of microscopic images in order to correctly diagnose patients and guide therapeutic decision making. With the advent of whole slide [...]

Context.--Pathologists' computer-assisted diagnosis (pCAD) is a proposed framework for alleviating challenges through the automation of their routine sign-out work. Currently, hypothetical pCAD is based on a triad of advanced image analysis, deep integration with heterogeneous information systems, and a concrete understanding of traditional pathology workflow. Prototyping is an established method for designing complex new computer systems such as pCAD. Objective.--To describe, in detail, a prototype of pCAD for the sign-out of a breast cancer specimen. Design.--Deidentified glass slides and data from breast cancer specimens were used. Slides were digitized into whole-slide images with an Aperio ScanScope XT, and screen captures were created by using vendor-provided software. The advanced workflow prototype was constructed by using PowerPoint software. Results.--We modeled an interactive, computer-assisted workflow: pCAD previews whole-slide images in the context of integrated, disparate data and predefined diagnostic tasks and subtasks. Relevant regions of interest (ROIs) would be automatically identified and triaged by the computer. A pathologist's sign-out work would consist of an interactive review of important ROIs, driven by required diagnostic tasks. The interactive session would generate a pathology report automatically. Conclusions.--Using animations and real ROIs, the pCAD prototype demonstrates the hypothetical sign-out in a stepwise fashion, illustrating various interactions and explaining how steps can be automated. The file is publicly available and should be widely compatible. This mock-up is intended to spur discussion and to help usher in the next era of digitization for pathologists by providing desperately needed and long-awaited automation. (Arch Pathol Lab Med. 2017;141:1413-1420; doi: 10.5858/arpa.2016-0214-OA), Whole-slide imaging (WSI), initially introduced at the turn of the 21st century, is just now beginning to gain traction in routine clinical pathology workflow. (1-3) Currently, the bulk of existing [...]

In this study, the water quality of the Bahmanshir River and its water channels where Choebdeh Shrimp Farms (the largest shrimp culture complex in Iran) are located were simulated using MIKE11 software. First, an integrated hydraulic and salinity model of the river and its water channels was developed. Then, Manning and dispersion coefficients of the river were calibrated and validated. The most important parameters in the water quality model were determined by sensitivity analysis and these parameters were calibrated using in situ measured water quality data. The errors of salinity, temperature, nitrate, ammonia and dissolved oxygen (DO) models in the verification step were 7.9, 1.2, 0.34, 0.79 and 12%, respectively. Then, two scenarios were applied to the river and the effects of these scenarios on the water quality of the river and its channels were evaluated. The results demonstrated that the site selection of the shrimp culture complex had been performed well because different scenarios could not affect the water quality in the channels. Finally, the water quality in the channels was compared with the standard values of shrimp survival parameters. All of the parameters in the channels were in the range of standard values except DO, which was slightly under the standard value. [ABSTRACT FROM AUTHOR]

Background: The adoption of digital pathology offers benefits over labor-intensive, time-consuming, and error-prone manual processes. However, because most workflow and laboratory transactions are centered around the anatomical pathology laboratory information system (APLIS), adoption of digital pathology ideally requires integration with the APLIS. A digital pathology system (DPS) integrated with the APLIS was recently implemented at our institution for diagnostic use. We demonstrate how such integration supports digital workflow to sign-out anatomical pathology cases. Methods: Workflow begins when pathology cases get accessioned into the APLIS (CoPathPlus). Glass slides from these cases are then digitized (Omnyx VL120 scanner) and automatically uploaded into the DPS (Omnyx® Integrated Digital Pathology (IDP) software v.1.3). The APLIS transmits case data to the DPS via a publishing web service. The DPS associates scanned images with the correct case using barcode labels on slides and information received from the APLIS. When pathologists remotely open a case in the DPS, additional information (e.g. gross pathology details, prior cases) gets retrieved from the APLIS through a query web service. Results: Following validation of this integration, pathologists at our institution have signed out more than 1000 surgical pathology cases in a production environment. Integration between the APLIS and DPS enabled pathologists to review digital slides while simultaneously having access to pertinent case metadata. The introduction of a digital workflow eliminated costly manual tasks involving matching of glass slides and avoided delays waiting for glass slides to be delivered. Conclusion: Integrating the DPS and APLIS were instrumental for successfully implementing a digital solution at our institution for pathology sign-out. The integration streamlined our digital sign-out workflow, diminished the potential for human error related to matching slides, and improved the sign-out experience for pathologists. [ABSTRACT FROM AUTHOR]

Significant technologic gains have led to the adoption of innovative digital imaging solutions in pathology. Whole slide imaging (WSI), which refers to scanning of conventional glass slides in order to produce digital slides, is the most recent imaging modality being employed by pathology departments worldwide. WSI continues to gain traction among pathologists for diagnostic, educational, and research purposes. This article provides a technologic review of WSI platforms and covers clinical and nonclinical pathology applications of these imaging systems. Barriers to adoption of WSI include limiting technology, image quality, problems with scanning all materials (eg, cytology slides), cost, digital slide storage, inability to handle high-throughput routine work, regulatory barriers, ergonomics, and pathologists' reluctance. Emerging issues related to clinical validation, standardization, and forthcoming advances in the field are also addressed. [ABSTRACT FROM AUTHOR]

Microphthalmia-associated transcription factor (MiTF) is used as a marker of melanocytic differentiation. However, MiTF immunoexpression has also been observed in histiocytes, macrophages, smooth muscle cells and fibroblasts, which raise the concern of fibrohistiocytic (FH) lesions being misdiagnosed as melanoma based on MiTF immunoreactivity. MiTF has been known to be positive in FH tumors, but this is the first study evaluating ninety-three fibrohistiocytic neoplasms to understand and delineate the staining pattern of MiTF in these tumors. Ninety-three cases of FH, 30 cases of melanocytic lesions, and 20 miscellaneous cases were studied. The FH cases included benign fibrous histiocytoma (BFH, n = 29), angiofibroma (AF, n = 11), fibromatosis (FM, n = 14), keloid (KE, n = 10), atypical fibroxanthoma (AFX, n = 7), dermal scar (DS, n = 9), dermatofibrosarcoma protuberans (DFSP, n = 12), and pigmented DFSP (Bednar tumor, n = 1). Benign fibrous histiocytoma were sub-categorized into dermatofibroma (n = 15) and epithelioid fibrous histiocytoma (n = 14). The melanocytic lesions included desmoplastic melanoma (DM, n = 8), melanoma in-situ (MIS, n = 5), re-excision-free of melanoma (RFM, n = 10), blue nevus (BN, n = 5), and spitz nevus (SN, n = 3). The miscellaneous category included osteosarcoma (OS, n = 3), pigmented basal cell carcinoma (PBCC, n = 5), spindle cell squamous cell carcinoma (SCA, n = 2), and giant cell tumor of tendon sheath (GCTTS, n = 10). All BFH, AF, AFX, KE, and DS cases showed a positive MiTF staining of variable extent and intensity. MiTF positivity was observed in 86% (n = 12) cases of FM and 17% (n = 2) cases of DFSP. Amongst the miscellaneous category, all cases of PBCC and GCTTS and 50% (n = 1) cases of SCA were immunoreactive for MiTF. All melanocytic lesions were positive for MiTF. None of the OS and pigmented DFSP showed positive labeling. Because of the promiscuity of MiTF labeling, awareness of its pattern in FH proliferations may avoid potential pitfalls in the diagnosis of spindle cell lesions., (Copyright © 2018 Elsevier GmbH. All rights reserved.)