Automated detection of vascular remodeling in tumor‐draining lymph nodes by the deep‐learning tool <scp>HEV</scp> ‐finder-Reference-Cited by-同舟云学术

Automated detection of vascular remodeling in tumor‐draining lymph nodes by the deep‐learning tool HEV ‐finder

Published:2022-07-12 Issue:1 Volume:258 Page:4-11
ISSN:0022-3417
Container-title:The Journal of Pathology
language:en
Short-container-title:The Journal of Pathology

Author:

Bekkhus Tove¹^ORCID,Avenel Christophe²³^ORCID,Hanna Sabella¹,Franzén Boger Mathias¹,Klemm Anna²³^ORCID,Bacovia Daniel Vasiliu¹,Wärnberg Fredrik⁴^ORCID,Wählby Carolina²³^ORCID,Ulvmar Maria H¹^ORCID

Affiliation:

1. The Beijer Laboratory, Department of Immunology, Genetics and Pathology, Rudbeck Laboratory Uppsala University Uppsala Sweden

2. Department of Information Technology Uppsala University Uppsala Sweden

3. BioImage Informatics Facility, SciLifeLab Uppsala Sweden

4. Department of Surgery, Institute of Clinical Sciences Sahlgrenska Academy at the University of Gothenburg Gothenburg Sweden

Funder

Cancerfonden

Kjell och Märta Beijers Stiftelse

Vetenskapsrådet

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/path.5981

Reference18 articles.

1. Changes in specialized blood vessels in lymph nodes and their role in cancer metastasis

2. Alterations of high endothelial venules in primary and metastatic tumors are correlated with lymph node metastasis of oral and pharyngeal carcinoma

3. Remodeling of the Lymph Node High Endothelial Venules Reflects Tumor Invasiveness in Breast Cancer and is Associated with Dysregulation of Perivascular Stromal Cells

4. Lymph Node Immune Profiles as Predictive Biomarkers for Immune Checkpoint Inhibitor Response

5. Unlocking the therapeutic potential of primary tumor-draining lymph nodes

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