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  1. Article ; Online: Esophageal squamous cell carcinoma with pagetoid spread: a clinicopathologic study.

    Miller, Tiffany R / Zhang, Xuchen / Ko, Huaibin M / Lagana, Stephen M / Setia, Namrata / Yassan, Lindsay / Westerhoff, Maria / Deshpande, Vikram / Hornick, Jason L / Redston, Mark S / Zhao, Lei

    Virchows Archiv : an international journal of pathology

    2024  

    Abstract: Pagetoid spread in esophageal squamous epithelium associated with underlying esophageal adenocarcinoma (EAC) has been well studied. Case reports describing pagetoid spread of esophageal squamous cell carcinomas (ESCC) also exist in the literature. The ... ...

    Abstract Pagetoid spread in esophageal squamous epithelium associated with underlying esophageal adenocarcinoma (EAC) has been well studied. Case reports describing pagetoid spread of esophageal squamous cell carcinomas (ESCC) also exist in the literature. The latter, however, has not been systematically studied. In this study, we report seven cases of pagetoid spread associated with ESCC. The clinical, morphologic, and immunophenotypic profiles of pagetoid spread in the context of ESCC and EAC are compared. Cases of pagetoid spread of ESCC were identified through computerized search of pathology archives at five institutions. Additional cases were identified through manual review of surgical resection cases of treatment naive ESCC in Mass General Brigham (MGB) pathology archive. Clinical history was collected via chart review. Immunohistochemistry for CK7, CK20, CDX2, p53, p63, and p40 was performed on selected cases. A computerized search of pathology archives of five institutions revealed only two cases. A manual review of 76 resected untreated ESCC revealed five additional cases with unequivocal pagetoid spread of ESCC, indicating the condition was not uncommon but rarely reported. Patient age ranged from 54 to 78 years (median, 65). There were six women and one man. One case had in situ disease, five had pT1 (1 pT1a and 4 pT1b), and one had pT3 disease. One of the patients with pT1 tumor had a positive lymph node, while the remaining six patients were all N0. Four tumors were in the proximal to mid esophagus, and three in the distal esophagus. Patient survival ranged from 25 months to more than 288 months. The pagetoid tumor cells demonstrated enlarged, hyperchromatic nuclei with variable amounts of eosinophilic cytoplasm. The cytoplasm was often condensed to the perinuclear area, creating peripheral clearing. By immunohistochemistry, the pagetoid cells were positive for p40 (6/6) and p63 (7/7) and negative for CDX2 (7/7). The tumor cells showed mutant-type staining for p53 in five of seven cases. One of the patients had pagetoid tumor cells at the resection margin and subsequently had recurrent disease 2 years later. All other patients had negative resection margins and did not have local recurrence. Four cases of pagetoid spread in the context of EAC were used as a comparison group. Previously published studies were also analyzed. These tumors were all located in the distal esophagus or gastroesophageal junction. All cases were associated with underlying invasive EAC. Pagetoid spread associated with EAC often had cytoplasmic vacuoles or mucin. They were more frequently positive for CK7 than pagetoid ESCC (p = 0.01). Both ESCC and EAC may give rise to pagetoid spread of tumor cells within surface squamous epithelium. Pagetoid spread from ESCC and EAC have overlapping morphologic features. P40 and p63 immunostains can facilitate the distinction between ESCC and EAC. P53 immunostain can aid in confirmation of malignancy. Understanding their overlapping pathologic features will help pathologists avoid pitfalls and diagnose these lesions correctly on biopsy specimens.
    Language English
    Publishing date 2024-04-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1184867-4
    ISSN 1432-2307 ; 0945-6317
    ISSN (online) 1432-2307
    ISSN 0945-6317
    DOI 10.1007/s00428-024-03788-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Educational Case: Group B Streptococcus Meningitis.

    Miller, Tiffany R / Gonsalves, Catherine / Steadmon, Kendall / Beal, Stacy G

    Academic pathology

    2019  Volume 6, Page(s) 2374289519892524

    Abstract: The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies: Disease Mechanisms and ... ...

    Abstract The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies: Disease Mechanisms and Processes, Organ System Pathology, and Diagnostic Medicine and Therapeutic Pathology. For additional information, and a full list of learning objectives for all three competencies, see
    Language English
    Publishing date 2019-12-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2819382-9
    ISSN 2374-2895
    ISSN 2374-2895
    DOI 10.1177/2374289519892524
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Artificial Intelligence for Digital and Computational Pathology

    Song, Andrew H. / Jaume, Guillaume / Williamson, Drew F. K. / Lu, Ming Y. / Vaidya, Anurag / Miller, Tiffany R. / Mahmood, Faisal

    2023  

    Abstract: Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology. This field holds tremendous potential to automate clinical diagnosis, predict patient ...

    Abstract Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology. This field holds tremendous potential to automate clinical diagnosis, predict patient prognosis and response to therapy, and discover new morphological biomarkers from tissue images. Some of these artificial intelligence-based systems are now getting approved to assist clinical diagnosis; however, technical barriers remain for their widespread clinical adoption and integration as a research tool. This Review consolidates recent methodological advances in computational pathology for predicting clinical end points in whole-slide images and highlights how these developments enable the automation of clinical practice and the discovery of new biomarkers. We then provide future perspectives as the field expands into a broader range of clinical and research tasks with increasingly diverse modalities of clinical data.
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition ; Quantitative Biology - Quantitative Methods
    Subject code 610
    Publishing date 2023-12-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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