
自引率: 2.2%
被引量: 16307
通过率: 暂无数据
审稿周期: 0.83
版面费用: 暂无数据
国人发稿量: 36
投稿须知/期刊简介:
The main interests of the Journal of Pathology lie in the pathophysiological and pathogenetic mechanisms of human disease and in the application of such knowledge to diagnosis and prognosis. In determining content the primary considerations are excellence relevance and novelty. The Journal welcomes investigative studies on human tissues experimental studies in vitro and in vivo and investigations based on animal models with a clear relevance to human disease including transgenic systems. Methodological improvements in investigative and diagnostic pathology are also of interest. Correlative studies of pathological data and clinical outcomes are encouraged but purely descriptive papers on diagnostic pathology are not considered central to the Journal's purpose. In general studies which appropriately employ multiple investigative techniques are preferred over those which rely on a single methodology. Illustrations must be of the highest quality to be acceptable for publication. As well as original research papers the Journal seeks to provide rapid publication in a variety of other formats including editorials review articles and other features both contributed and solicited. Papers covering significant developments in teaching methods and in the practice of pathology may be acceptable if they are of international scope and relevance. Correspondence from readers will be published if it is of general interest. In summary the Journal aims to serve as a bridge between basic biomedical science and clinical medicine. As a Journal of the Pathological Society of Great Britain and Ireland it seeks to reflect the broad scientific interests of the Society's membership but its ethos authorship content and purpose are those expected of a leading publication in the international scientific literature.
期刊描述简介:
The main interests of the Journal of Pathology lie in the pathophysiological and pathogenetic mechanisms of human disease and in the application of such knowledge to diagnosis and prognosis. In determining content the primary considerations are excellence relevance and novelty. The Journal welcomes investigative studies on human tissues experimental studies in vitro and in vivo and investigations based on animal models with a clear relevance to human disease including transgenic systems. Methodological improvements in investigative and diagnostic pathology are also of interest. Correlative studies of pathological data and clinical outcomes are encouraged but purely descriptive papers on diagnostic pathology are not considered central to the Journal's purpose. In general studies which appropriately employ multiple investigative techniques are preferred over those which rely on a single methodology. Illustrations must be of the highest quality to be acceptable for publication. As well as original research papers the Journal seeks to provide rapid publication in a variety of other formats including editorials review articles and other features both contributed and solicited. Papers covering significant developments in teaching methods and in the practice of pathology may be acceptable if they are of international scope and relevance. Correspondence from readers will be published if it is of general interest. In summary the Journal aims to serve as a bridge between basic biomedical science and clinical medicine. As a Journal of the Pathological Society of Great Britain and Ireland it seeks to reflect the broad scientific interests of the Society's membership but its ethos authorship content and purpose are those expected of a leading publication in the international scientific literature.
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Correction to 'Autophagy mediates survival of pancreatic tumour-initiating cells in a hypoxic microenvironment'.
被引量:- 发表:1970
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Correction to the '14th Joint Meeting of the BDIAP and The Pathological Society, Liverpool Pathology 2023, 27-29 June, 2023' supplement.
被引量:- 发表:1970
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AI-guided histopathology predicts brain metastasis in lung cancer patients.
Brain metastases can occur in nearly half of patients with early and locally advanced (stage I-III) non-small cell lung cancer (NSCLC). There are no reliable histopathologic or molecular means to identify those who are likely to develop brain metastases. We sought to determine if deep learning (DL) could be applied to routine H&E-stained primary tumor tissue sections from stage I-III NSCLC patients to predict the development of brain metastasis. Diagnostic slides from 158 patients with stage I-III NSCLC followed for at least 5 years for the development of brain metastases (Met+, 65 patients) versus no progression (Met-, 93 patients) were subjected to whole-slide imaging. Three separate iterations were performed by first selecting 118 cases (45 Met+, 73 Met-) to train and validate the DL algorithm, while 40 separate cases (20 Met+, 20 Met-) were used as the test set. The DL algorithm results were compared to a blinded review by four expert pathologists. The DL-based algorithm was able to distinguish the eventual development of brain metastases with an accuracy of 87% (p < 0.0001) compared with an average of 57.3% by the four pathologists and appears to be particularly useful in predicting brain metastases in stage I patients. The DL algorithm appears to focus on a complex set of histologic features. DL-based algorithms using routine H&E-stained slides may identify patients who are likely to develop brain metastases from those who will remain disease free over extended (>5 year) follow-up and may thus be spared systemic therapy. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
被引量:5 发表:1970
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A partial epithelial-mesenchymal transition signature for highly aggressive colorectal cancer cells that survive under nutrient restriction.
被引量:2 发表:1970
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Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.
被引量:2 发表:1970