ArticlePloS one2016
Development and Validation of a Histological Method to Measure Microvessel Density in Whole-Slide Images of Cancer Tissue.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Tumor Microvessel Density as a Potential Predictive Marker for Bevacizumab Benefit: GOG-0218 Biomarker Analyses.Journal of the National Cancer Institute · 2017Trial
- Workflow evaluation of a commercial deep learning-based image analysis tool for the quantification of angiogenesis in vivo.Scientific reports · 2026Article
- The oncogenic control of nucleotide synthesis.Oncogenesis · 2026Review
- Ozonated Water Modulates Cell Proliferation and Vascular Density in Solid Ehrlich Tumor of Mice.Cancers · 2026Article
- Predicting Grade and Patient Survival in Renal Cancer Using Machine Learning Analysis of Nucleolar Prominence.Cancer medicine · 2025Article
- A machine learning based algorithm accurately stages liver disease by quantification of arteries.Scientific reports · 2025Article
- Baicalein ameliorates cognitive decline induced by chronic cerebral hypoperfusion through the SIRT1-mediated Notch1 pathway to improve angiogenesis and suppress neuroinflammation.Frontiers in aging neuroscience · 2025Article
- Long-lasting microbubble-enhanced super-resolution ultrasound imaging unveils lymphatic activity in lymph node.Theranostics · 2025Article
- Vascular regional analysis unveils differential responses to anti-angiogenic therapy in pancreatic xenografts through macroscopic photoacoustic imaging.Theranostics · 2025Article
- Loss of JCAD/KIAA1462 Protects the Lung from Acute and Chronic Consequences of Chronic Obstructive Pulmonary Disease.International journal of molecular sciences · 2024Article
- Article
- A Versatile Pipeline for High-fidelity Imaging and Analysis of Vascular Networks Across the Body.Bio-protocol · 2024Article
- Pattern recognition of microcirculation with super-resolution ultrasound imaging provides markers for early tumor response to anti-angiogenic therapy.Theranostics · 2024Article
- Empowering Renal Cancer Management with AI and Digital Pathology: Pathology, Diagnostics and Prognosis.Biomedicines · 2023Review
- Cystathionine gamma-lyase (CTH) inhibition attenuates glioblastoma formation.Redox biology · 2023Article
- Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging.Journal of gynecologic oncology · 2023Article
- Microvessel density in differentiated thyroid carcinoma: A systematic review and meta-analysis.World journal of methodology · 2022Article
- Intravoxel Incoherent Motion Magnetic Resonance Imaging in Skeletal Muscle: Review and Future Directions.Journal of magnetic resonance imaging : JMRI · 2022Review
- Issues of origin, morphology and clinical significance of tumor microvessels in gastric cancer.World journal of gastroenterology · 2021Review
- Identifying Common Pathogenic Features in Deep Endometriotic Nodules and Uterine Adenomyosis.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite all efforts made to develop predictive biomarkers for antiangiogenic therapies, no unambiguous markers have been identified so far. This is due to among others the lack of standardized tests. This study presents an improved microvessel density quantification method in tumor tissue based on stereological principles and using whole-slide images. Vessels in tissue sections of different cancer types were stained for CD31 by an automated and validated immunohistochemical staining method. The stained slides were digitized with a digital slide scanner. Systematic, uniform, random sampling of the regions of interest on the whole-slide images was performed semi-automatically with the previously published applications AutoTag and AutoSnap. Subsequently, an unbiased counting grid was combined with the images generated with these scripts. Up to six independent observers counted microvessels in up to four cancer types: colorectal carcinoma, glioblastoma multiforme, ovarian carcinoma and renal cell carcinoma. At first, inter-observer variability was found to be unacceptable. However, after a series of consensus training sessions and interim statistical analysis, counting rules were modified and inter-observer concordance improved considerably. Every CD31-positive object was counted, with exclusion of suspected CD31-positive monocytes, macrophages and tumor cells. Furthermore, if interconnected, stained objects were considered a single vessel. Ten regions of interest were sufficient for accurate microvessel density measurements. Intra-observer and inter-observer variability were low (intraclass correlation coefficient > 0.7) if the observers were adequately trained.
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