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Microvascular Density

Cardiovascular Medicine · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

Measured density of microvessels in a given field of area.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (957 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Measured density of microvessels in a given field of area. It is a surrogate biomarker used for many physiological and pathophysiological processes such as angiogenesis, neovascularization, disease and tumor progressions.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Density, Microvascular; Microvascular Densities; Microvessel Density Measurement; Density Measurement, Microvessel; Measurement, Microvessel Density; Microvessel Density Measurements; Microvessel Density; Density, Microvessel.

Where it fits in the MeSH classification

Broader topics
Cardiovascular Physiological Phenomena

Related concepts

  • Microvessels
  • Biomarker

Research landscape

PubMed indexes 438 records tagged with the MeSH heading “Microvascular Density” (counts retrieved 2026-10-29). 435 of them (99.3%) were published from 2020 onward, and the busiest period so far is 2020 onward with 435 records.

Reviews account for 12 records (2.7%) and meta-analyses for 9. Randomized controlled trials number 5 (1.1%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 14 records; 2020 onward: 435 records0through 199902000-2009142010-20194352020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-201914
2020 onward435
Share of records by publication typeReviews: 2.7 percent; Meta-analyses: 2.1 percent; Randomized controlled trials: 1.1 percentReviews2.7% (12)Meta-analyses2.1% (9)Randomized controlled trials1.1% (5)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 438 PubMed records
TypeRecordsShare
Reviews122.7%
Meta-analyses92.1%
Randomized controlled trials51.1%

Method: PubMed query "Microvascular Density"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in cardiovascular medicine

Cardiovascular medicine has an unusually large body of randomized trials, so the type of outcome matters: hard clinical events such as death, heart attack and stroke carry more weight than changes in blood pressure, cholesterol or imaging markers that only predict risk. Observational studies can show associations but are confounded by age, lifestyle and other illness. Check whether a result is about prevention or treatment, the baseline risk of participants, and the absolute rather than only the relative size of any benefit.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Three-dimensional vascular microenvironment landscape in human glioblastoma
Cribaro GP, Saavedra-López E, Romarate L, Mitxitorena I, Díaz LR, Casanova PV, et al.
2021Research article
Design not recorded in structured metadata
30cc by
PMID 33579378 · DOI · PMC7879533
Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer
Krüger K, Silwal-Pandit L, Wik E, Straume O, Stefansson IM, Borgen E, et al.
2021Randomized controlled trial
Design not recorded in structured metadata
28cc by
PMID 33564016 · DOI · PMC7873274
Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
Mayer P, Fritz F, Koell M, Skornitzke S, Bergmann F, Gaida MM, et al.
2021Research article
Design not recorded in structured metadata
20cc by
PMID 33468259 · DOI · PMC7816417
Reduced retinal microvascular density in patients with mixed connective tissue disease: an exploratory pilot study on the interplay between aging, renal function, and complement system
Triggianese P, Capparelli E, D'Antonio A, Nesi C, Lombardo M, Kroegler B, et al.
2026Research article
Design not recorded in structured metadata
1cc by
PMID 41727480 · DOI · PMC12916619

Three-dimensional vascular microenvironment landscape in human glioblastoma [1]

Research article Cribaro GP, Saavedra-López E, Romarate L, Mitxitorena I, Díaz LR, Casanova PV, et al. · · 2021 · cited 30 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The cellular complexity of glioblastoma microenvironments is still poorly understood.
Closing excerpt
Images and data sets are available on demand as a resource for public access.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (165 words)

The cellular complexity of glioblastoma microenvironments is still poorly understood. In-depth, cell-resolution tissue analyses of human material are rare but highly necessary to understand the biology of this deadly tumor. Here we present a unique 3D visualization revealing the cellular composition of human GBM in detail and considering its critical association with the neo-vascular niche. Our images show a complex vascular map of human 3D biopsies with increased vascular heterogeneity and altered spatial relationship with astrocytes or glioma-cell counterparts. High-resolution analysis of the structural layers of the blood brain barrier showed a multilayered fenestration of endothelium and basement membrane. Careful examination of T cell position and migration relative to vascular walls revealed increased infiltration corresponding with tumor proliferation. In addition, the analysis of the myeloid landscape not only showed a volumetric increase in glioma-associated microglia and macrophages relative to GBM proliferation but also revealed distinct phenotypes in tumor nest and stroma. Images and data sets are available on demand as a resource for public access.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33579378 · DOI · PMC7879533

Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer [2]

Randomized controlled trial Krüger K, Silwal-Pandit L, Wik E, Straume O, Stefansson IM, Borgen E, et al. · · 2021 · cited 28 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
A subset of breast cancer patients benefits from preoperative bevacizumab and chemotherapy, but validated predictive biomarkers are lacking.
Closing excerpt
In contrast, pMVD, GMP, and the angiogenesis signature score, did not predict response, but associated with aggressive tumor features, including basal-like and triple-negative phenotypes.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (208 words)

A subset of breast cancer patients benefits from preoperative bevacizumab and chemotherapy, but validated predictive biomarkers are lacking. Here, we aimed to evaluate tissue-based angiogenesis markers for potential predictive value regarding response to neoadjuvant bevacizumab treatment in breast cancer. In this randomized 1:1 phase II clinical trial, 132 patients with large or locally advanced HER2-negative tumors received chemotherapy ± bevacizumab. Dual Factor VIII/Ki-67 immunohistochemical staining was performed on core needle biopsies at baseline and week 12. Microvessel density (MVD), proliferative microvessel density (pMVD; Factor VIII/Ki-67 co-expression), glomeruloid microvascular proliferation (GMP), and a gene expression angiogenesis signature score, were studied in relation to pathologic complete response (pCR), clinico-pathologic features and intrinsic molecular subtype. We found that high baseline MVD (by median) significantly predicted pCR in the bevacizumab-arm (odds ratio 4.9, P = 0.012). High pMVD, presence of GMP, and the angiogenesis signature score did not predict pCR, but were associated with basal-like (P ≤ 0.009) and triple negative phenotypes (P ≤ 0.041). pMVD and GMP did also associate with high-grade tumors (P ≤ 0.048). To conclude, high baseline MVD significantly predicted response to bevacizumab treatment. In contrast, pMVD, GMP, and the angiogenesis signature score, did not predict response, but associated with aggressive tumor features, including basal-like and triple-negative phenotypes.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33564016 · DOI · PMC7873274

Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth [3]

Research article Mayer P, Fritz F, Koell M, Skornitzke S, Bergmann F, Gaida MM, et al. · · 2021 · cited 20 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Background/objectivesThe aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC).
Closing excerpt
HTML&TRIAL_ID=DRKS00022227.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (286 words)

Background/objectivesThe aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC).MethodsIn this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVDtumor) and microvessel area (MVAtumor) were analyzed microscopically in resection specimens. Correlation coefficients between IVIM parameters, CT perfusion parameters, and histological microvessel parameters in tumors were calculated. Receiver operating characteristic (ROC) analysis was performed for differentiation of tumors and upstream parenchyma.Resultsftumor significantly positively correlated with BFtumor (r = 0.668, p = 0.002) and BVtumor (r = 0.672, p = 0.002). There were significant positive correlations between ftumor and MVDtumor/ MVAtumor (r ≥ 0.770, p ≤ 0.009) as well as between BFtumor and MVDtumor/ MVAtumor (r ≥ 0.697, p ≤ 0.025). Correlation coefficients between ftumor and MVDtumor/ MVAtumor were not significantly different from correlation coefficients between BFtumor and MVDtumor/ MVAtumor (p ≥ 0.400). Moreover, f, BF, BV, and permeability values (PEM) showed excellent performance in distinguishing tumors from upstream parenchyma (area under the ROC curve ≥0.874).ConclusionsThe study shows that IVIM derived ftumor and CT perfusion derived BFtumor similarly reflect vascularity of PDAC and seem to be comparably applicable for the evaluation of tumor perfusion for tumor characterization and as potential quantitative imaging biomarker.Trial registrationDRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial . HTML&TRIAL_ID=DRKS00022227.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33468259 · DOI · PMC7816417

Reduced retinal microvascular density in patients with mixed connective tissue disease: an exploratory pilot study on the interplay between aging, renal function, and complement system [4]

Research article Triggianese P, Capparelli E, D'Antonio A, Nesi C, Lombardo M, Kroegler B, et al. · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundMixed connective tissue disease (MCTD) is a systemic autoimmune disease with overlapping features with systemic lupus erythematosus, systemic sclerosis, and inflammatory idiopathic myopathies, characterized by anti-U1-RNP antibodies.
Closing excerpt
OCT-A may be a useful tool for assessing MCTD.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (298 words)

BackgroundMixed connective tissue disease (MCTD) is a systemic autoimmune disease with overlapping features with systemic lupus erythematosus, systemic sclerosis, and inflammatory idiopathic myopathies, characterized by anti-U1-RNP antibodies. Although subclinical retinal microvascular changes have been described in other connective tissue diseases, such data are lacking in patients with MCTD.MethodsWe performed a cross-sectional exploratory pilot study including patients with a defined diagnosis of MCTD according to one of the sets of classification criteria and age- and sex-matched healthy controls (HC), with elderly individuals equally distributed. Data on disease duration, renal function (creatinine and eGFR), and complement levels (C3 and C4) were recorded. All participants underwent optical coherence tomography angiography (OCT-A) to evaluate retinal vessel density (VD) using parafoveal, perifoveal, and foveal scans, whole images, and foveal avascular zones (FAZs). Nailfold videocapillaroscopy (NVC) was performed in patients with MCTD on four fingers of both hands to assess microangiopathy patterns.ResultsPatients with MCTD (n = 20, mean age 60.6 ± 11.4 years, 85% females) showed a significant reduction in both superficial and deep retinal VD across all evaluated regions compared with 20 HC. In patients with MCTD, deep retinal VD was inversely correlated with disease duration (r = -0.6, P = 0.0003) and directly correlated with eGFR (r = 0.4, P = 0.05). In patients with MCTD, C3 levels were positively correlated with age (r = 0.4, P = 0.03) and superficial parafoveal VD (r = 0.5, P = 0.008). In MCTD, NVC abnormalities, including non-specific microangiopathy and scleroderma patterns, occurred in 60% (n = 12) of cases and did not correlated with OCT-A findings.ConclusionPatients with MCTD present subclinical retinal microvascular abnormalities detectable by OCT-A. Our hypothesis-generating study suggests that retinal vascular changes may be linked to disease duration, renal function, and complement levels. OCT-A may be a useful tool for assessing MCTD.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41727480 · DOI · PMC12916619

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Microvessel Density: Integrating Sex-Based Differences and Elevated Cardiovascular Risks in Metabolic Syndrome [5]
    Wong A, Chen SQ, Halvorson BD, Frisbee JC · J Vasc Res · 2022 · cited 11 times (Europe PMC)
  • Research article Prognostic value of microvessel density in esophageal squamous cell carcinoma-a systematic review and meta-analysis [6]
    Guo X, Meng X, Liu R · Pathol Res Pract · 2021 · cited 8 times (Europe PMC)
  • Research article Prognostic Value of Microvessel Density in Head and Neck Squamous Cell Carcinoma: A Meta-Analysis [7]
    Dong Y, Ma G, Liu Y, Lu S, Liu L · Dis Markers · 2020 · cited 8 times (Europe PMC)
  • Research article Different predictive values of microvessel density for biochemical recurrence among different PCa populations: A systematic review and meta-analysis [8]
    Jiang J, Li J, Xiong X, Zhang S, Tan D, Yang L, et al. · Cancer Med · 2023 · cited 7 times (Europe PMC)
  • Research article Microvessel Density (MVD) in Patients with Osteosarcoma: A Systematic Review and Meta-Analysis [9]
    Perivoliotis K, Ntellas P, Dadouli K, Samara AA, Sotiriou S, Ioannou M, et al. · Cancer Invest · 2024 · cited 5 times (Europe PMC)
  • Research article Prognostic Value of Microvessel Density in Non-Hodgkin Lymphoma: A Meta-Analysis [10]
    Wu J, Ma S, Sun L, Qin Z, Wang Z, Wang N, et al. · Acta Haematol · 2021 · cited 4 times (Europe PMC)

References

  1. Cribaro GP, Saavedra-López E, Romarate L, Mitxitorena I, Díaz LR, Casanova PV, et al.. Three-dimensional vascular microenvironment landscape in human glioblastoma. . 2021. PMID 33579378 · DOI · PMC7879533
  2. Krüger K, Silwal-Pandit L, Wik E, Straume O, Stefansson IM, Borgen E, et al.. Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer. . 2021. PMID 33564016 · DOI · PMC7873274
  3. Mayer P, Fritz F, Koell M, Skornitzke S, Bergmann F, Gaida MM, et al.. Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth. . 2021. PMID 33468259 · DOI · PMC7816417
  4. Triggianese P, Capparelli E, D'Antonio A, Nesi C, Lombardo M, Kroegler B, et al.. Reduced retinal microvascular density in patients with mixed connective tissue disease: an exploratory pilot study on the interplay between aging, renal function, and complement system. . 2026. PMID 41727480 · DOI · PMC12916619
  5. Wong A, Chen SQ, Halvorson BD, Frisbee JC. Microvessel Density: Integrating Sex-Based Differences and Elevated Cardiovascular Risks in Metabolic Syndrome. J Vasc Res. 2022. PMID 34535606 · DOI
  6. Guo X, Meng X, Liu R. Prognostic value of microvessel density in esophageal squamous cell carcinoma-a systematic review and meta-analysis. Pathol Res Pract. 2021. PMID 34634564 · DOI
  7. Dong Y, Ma G, Liu Y, Lu S, Liu L. Prognostic Value of Microvessel Density in Head and Neck Squamous Cell Carcinoma: A Meta-Analysis. Dis Markers. 2020. PMID 33062071 · DOI · PMC7539077
  8. Jiang J, Li J, Xiong X, Zhang S, Tan D, Yang L, et al.. Different predictive values of microvessel density for biochemical recurrence among different PCa populations: A systematic review and meta-analysis. Cancer Med. 2023. PMID 35933720 · DOI · PMC9939166
  9. Perivoliotis K, Ntellas P, Dadouli K, Samara AA, Sotiriou S, Ioannou M, et al.. Microvessel Density (MVD) in Patients with Osteosarcoma: A Systematic Review and Meta-Analysis. Cancer Invest. 2024. PMID 38345052 · DOI
  10. Wu J, Ma S, Sun L, Qin Z, Wang Z, Wang N, et al.. Prognostic Value of Microvessel Density in Non-Hodgkin Lymphoma: A Meta-Analysis. Acta Haematol. 2021. PMID 34044389 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

438
PubMed records on this heading
99%
published since 2020
12
review articles
5
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

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