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Multimodal Imaging

Diagnostics and Medical Technology · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed9 referencesApproximately 3 min read

The use of combination of imaging techniques or platforms (e.g., mri scan and pet scan) encompassing aspects of anatomical, functional, or molecular imaging methods.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. Full-text reviews7. References8. 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: 3 complete abstracts (605 words), 9 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

The use of combination of imaging techniques or platforms (e.g., mri scan and pet scan) encompassing aspects of anatomical, functional, or molecular imaging methods.

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: Imaging, Multimodal; Hybrid Imaging; Imaging, Hybrid.

Where it fits in the MeSH classification

Broader topics
Diagnostic Imaging
Narrower topics
Computed Tomography Angiography; Positron Emission Tomography Computed Tomography; Single Photon Emission Computed Tomography Computed Tomography
See also
Image Processing, Computer-Assisted

Related concepts

  • Mri Scan
  • Positron-Emission Tomography

Research landscape

PubMed indexes 68,036 records tagged with the MeSH heading “Multimodal Imaging” (counts retrieved 2026-11-04). 35,254 of them (51.8%) were published from 2020 onward, and the busiest period so far is 2020 onward with 35,254 records.

Reviews account for 8,526 records (12.5%) and meta-analyses for 848. Randomized controlled trials number 901 (1.3%) 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: 6 records; 2010-2019: 34,086 records; 2020 onward: 35,254 records0through 199962000-200934,0862010-201935,2542020 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
2000-20096
2010-201934,086
2020 onward35,254
Share of records by publication typeReviews: 12.5 percent; Meta-analyses: 1.2 percent; Randomized controlled trials: 1.3 percentReviews12.5% (8,526)Meta-analyses1.2% (848)Randomized controlled trials1.3% (901)
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 68,036 PubMed records
TypeRecordsShare
Reviews8,52612.5%
Meta-analyses8481.2%
Randomized controlled trials9011.3%

Method: PubMed query "Multimodal Imaging"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.

Reading the evidence in diagnostics and medical technology

A test or device is judged by how well it detects a condition, how often it gives false alarms or misses cases, and whether using it improves outcomes for people. Accuracy depends on who is tested and how common the condition is, so a test that performs well in a specialist hospital can perform differently in the community. Check the reference standard, the population studied, the sensitivity and specificity and whether results were confirmed in a separate group.

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
AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases
Agrawal L, Agrawal PK, Agrawal SS, Sonune MS, Kadu RK, Kulkarni MB, et al.
2026Review article
Design not recorded in structured metadata
4cc by
PMID 42171726 · DOI · PMC13577979
Exploratory FDG PET/CT Imaging in mCRPC Patients Treated with Sipuleucel-T ± IL-7: A Phase II Trial Subanalysis
Panikar SS, Bansal D, Crandall J, Raman H, Picus J, Ippolito JE, et al.
2026Research article
Design not recorded in structured metadata
2cc by
PMID 42278652 · DOI · PMC13257278
Computed Tomography Angiography-Based Mapping of Septocutaneous Fibular Artery Perforators: An Anatomical Analysis
Ketschau J, Mohr J, Leonhardt Y, Grabenhorst A, Singer H, Kram H, et al.
2026Research article
Design not recorded in structured metadata
1cc by
PMID 42452877 · DOI · PMC13370060

AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases [1]

Review article Agrawal L, Agrawal PK, Agrawal SS, Sonune MS, Kadu RK, Kulkarni MB, et al. · · 2026 · cited 4 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Systemic vascular and neurodegenerative disorders are important causes of disability and death worldwide, mainly because of the late stage of diagnosis and the high cost of current screening tools.
Closing excerpt
In conclusion, AI-assisted retinal analysis may make way for early screening, better prevention, and more accessible precision healthcare.
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 (196 words)

Systemic vascular and neurodegenerative disorders are important causes of disability and death worldwide, mainly because of the late stage of diagnosis and the high cost of current screening tools. Artificial intelligence (AI) and multimodal retinal imaging offer a non-invasive and viable approach for early risk stratification and longitudinal monitoring. This review highlights how changes in the retinal vasculature and nerve layers are markers of underlying pathophysiologies related to cardiovascular, metabolic, and neurological disorders. It gives an account of the critical retinal imaging modalities, such as fundus photography, optical coherence tomography (OCT), OCT angiography (OCTA), and more recently developed metabolic-sensitive imaging modalities, and how current AI approaches, such as deep learning, self-supervised learning, and multimodal fusion, can be leveraged for better risk stratification and decision support. Evidence from hypertension, stroke, coronary artery disease, diabetic complications, Alzheimer's disease, Parkinson's disease, multiple sclerosis, and cognitive impairment shows the potential for the retina to serve as a scalable biomarker for systemic health. However, there are still hurdles to be cleared, such as multicenter validation, prospective clinical trials, data fusion, and regulatory frameworks. In conclusion, AI-assisted retinal analysis may make way for early screening, better prevention, and more accessible precision healthcare.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42171726 · DOI · PMC13577979

Exploratory FDG PET/CT Imaging in mCRPC Patients Treated with Sipuleucel-T ± IL-7: A Phase II Trial Subanalysis [2]

Research article Panikar SS, Bansal D, Crandall J, Raman H, Picus J, Ippolito JE, et al. · · 2026 · cited 2 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Immunotherapy has shown limited efficacy in metastatic castration-resistant prostate cancer (mCRPC), highlighting the need for noninvasive tools to monitor treatment-related biological changes.
Closing excerpt
Larger studies are warranted to validate these findings.
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 (234 words)

Immunotherapy has shown limited efficacy in metastatic castration-resistant prostate cancer (mCRPC), highlighting the need for noninvasive tools to monitor treatment-related biological changes. This case series evaluated exploratory metabolic imaging correlates using [18F]-FDG PET/CT in mCRPC patients enrolled in a Cancer Immunotherapy Trials Network (CITN) trial of sipuleucel-T (sip-T) with or without recombinant interleukin-7 (IL-7). Among 54 enrolled patients (NCT01881867), three underwent serial [18F]-FDG PET/CT imaging at baseline and following sip-T therapy. Imaging assessed tumor metabolic activity and potential immune-related metabolic changes, based on the premise that immune processes may influence FDG uptake. Patient 1, treated with sip-T alone, demonstrated progressive sternal metastasis with stable SUVmax and marked increases in metabolic tumor volume (MTV: 10.1-34.5) and total lesion glycolysis (TLG: 43.4-145.8), consistent with poor prognosis. Patient 2 showed minimal tumor avidity but transient increases in splenic SUVmax and SUVmean following sip-T, which may reflect treatment-related or immune-associated metabolic activity. Patient 3, treated with sip-T plus IL-7, demonstrated a 33% reduction in SUVmax, stable disease on follow-up imaging, decreased PSA levels, and metabolic changes consistent with treatment response in this individual case. These findings were observed in a single patient and are considered exploratory and hypothesis-generating only. [18F]-FDG PET/CT imaging may provide exploratory insights into metabolic changes in tumors and immune-related organs in mCRPC. Metabolic changes in tumors and immune organs may provide insights into treatment-associated biological effects. Larger studies are warranted to validate these findings.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42278652 · DOI · PMC13257278

Computed Tomography Angiography-Based Mapping of Septocutaneous Fibular Artery Perforators: An Anatomical Analysis [3]

Research article Ketschau J, Mohr J, Leonhardt Y, Grabenhorst A, Singer H, Kram H, et al. · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundReliable localization of septocutaneous fibular artery perforators is essential for fibula free flap planning.
Closing excerpt
These findings support artery-based mapping for fibula flap planning.
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 (175 words)

BackgroundReliable localization of septocutaneous fibular artery perforators is essential for fibula free flap planning. However, the influence of lower-leg vascular anatomy on perforator number and spatial distribution remains unclear. This study aimed to analyze perforator number and spatial distribution using computed tomography angiography (CTA) with both fibula- and artery-based reference systems.MethodsIn this retrospective study, patients undergoing lower-extremity CTA before mandibular continuity resection were screened. Parameters included run-off status, Kim classification, vascular anomalies, atherosclerotic plaque, and morphometric characteristics of the fibula and fibular artery. Perforator number per limb and relative perforator position were assessed using fibula- and artery-based reference systems. Associations were evaluated using nonparametric tests and multivariable regression models.ResultsA total of 491 limbs from 247 patients were included, yielding 812 septocutaneous perforators. Limbs with fibular artery stenosis showed fewer perforators compared with limbs without stenosis (median 0.5 [0-2] vs. 2 [1-2], p ConclusionSeptocutaneous fibular artery perforators show reference-dependent spatial variability. Fibular artery stenosis is associated with fewer perforators, whereas only Kim run-off classification affects fibula-referenced location. These findings support artery-based mapping for fibula flap planning.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42452877 · DOI · PMC13370060

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 Imaging for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis [4]
    Roberts LR, Sirlin CB, Zaiem F, Almasri J, Prokop LJ, Heimbach JK, et al. · Hepatology · 2018 · cited 360 times (Europe PMC)
  • Research article 68Ga-DOTATATE Compared with 111In-DTPA-Octreotide and Conventional Imaging for Pulmonary and Gastroenteropancreatic Neuroendocrine Tumors: A Systematic Review and Meta-Analysis [5]
    Deppen SA, Blume J, Bobbey AJ, Shah C, Graham MM, Lee P, et al. · J Nucl Med · 2016 · cited 178 times (Europe PMC)
  • Research article 68Ga-Labeled Prostate-specific Membrane Antigen Ligand Positron Emission Tomography/Computed Tomography for Prostate Cancer: A Systematic Review and Meta-analysis [6]
    von Eyben FE, Picchio M, von Eyben R, Rhee H, Bauman G · Eur Urol Focus · 2018 · cited 166 times (Europe PMC)
  • Research article Epicardial adipose tissue volume assessed by computed tomography and coronary artery disease: a systematic review and meta-analysis [7]
    Mancio J, Azevedo D, Saraiva F, Azevedo AI, Pires-Morais G, Leite-Moreira A, et al. · Eur Heart J Cardiovasc Imaging · 2018 · cited 163 times (Europe PMC)
  • Research article The Impact of Somatostatin Receptor-Directed PET/CT on the Management of Patients with Neuroendocrine Tumor: A Systematic Review and Meta-Analysis [8]
    Barrio M, Czernin J, Fanti S, Ambrosini V, Binse I, Du L, et al. · J Nucl Med · 2017 · cited 138 times (Europe PMC)
  • Research article Meta-analysis of 18F-FDG PET/CT in the diagnosis of infective endocarditis [9]
    Mahmood M, Kendi AT, Ajmal S, Farid S, O'Horo JC, Chareonthaitawee P, et al. · J Nucl Cardiol · 2019 · cited 129 times (Europe PMC)

Full-text reviews on EvidenceLib

Open-access review articles about this topic, reproduced in full with authors, licence and references.

  • Molecular imaging of bacterial biofilms—a systematic review

    S. W. G. van Hoogstraten, C. Kuik, J. J. C. Arts et al. · Critical Reviews in Microbiology 2024 · CC BY 4.0

  • Cancer or Tuberculosis: A Comprehensive Review of the Clinical and Imaging Features in Diagnosis of the Confusing Mass

    Yufan Xiang, Chen Huang, Yan He et al. · Frontiers in Oncology 2021 · CC BY 4.0

References

  1. Agrawal L, Agrawal PK, Agrawal SS, Sonune MS, Kadu RK, Kulkarni MB, et al.. AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases. . 2026. PMID 42171726 · DOI · PMC13577979
  2. Panikar SS, Bansal D, Crandall J, Raman H, Picus J, Ippolito JE, et al.. Exploratory FDG PET/CT Imaging in mCRPC Patients Treated with Sipuleucel-T ± IL-7: A Phase II Trial Subanalysis. . 2026. PMID 42278652 · DOI · PMC13257278
  3. Ketschau J, Mohr J, Leonhardt Y, Grabenhorst A, Singer H, Kram H, et al.. Computed Tomography Angiography-Based Mapping of Septocutaneous Fibular Artery Perforators: An Anatomical Analysis. . 2026. PMID 42452877 · DOI · PMC13370060
  4. Roberts LR, Sirlin CB, Zaiem F, Almasri J, Prokop LJ, Heimbach JK, et al.. Imaging for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis. Hepatology. 2018. PMID 28859233 · DOI
  5. Deppen SA, Blume J, Bobbey AJ, Shah C, Graham MM, Lee P, et al.. 68Ga-DOTATATE Compared with 111In-DTPA-Octreotide and Conventional Imaging for Pulmonary and Gastroenteropancreatic Neuroendocrine Tumors: A Systematic Review and Meta-Analysis. J Nucl Med. 2016. PMID 26769864 · DOI · PMC5362941
  6. von Eyben FE, Picchio M, von Eyben R, Rhee H, Bauman G. 68Ga-Labeled Prostate-specific Membrane Antigen Ligand Positron Emission Tomography/Computed Tomography for Prostate Cancer: A Systematic Review and Meta-analysis. Eur Urol Focus. 2018. PMID 28753806 · DOI
  7. Mancio J, Azevedo D, Saraiva F, Azevedo AI, Pires-Morais G, Leite-Moreira A, et al.. Epicardial adipose tissue volume assessed by computed tomography and coronary artery disease: a systematic review and meta-analysis. Eur Heart J Cardiovasc Imaging. 2018. PMID 29236951 · DOI
  8. Barrio M, Czernin J, Fanti S, Ambrosini V, Binse I, Du L, et al.. The Impact of Somatostatin Receptor-Directed PET/CT on the Management of Patients with Neuroendocrine Tumor: A Systematic Review and Meta-Analysis. J Nucl Med. 2017. PMID 28082438 · DOI
  9. Mahmood M, Kendi AT, Ajmal S, Farid S, O'Horo JC, Chareonthaitawee P, et al.. Meta-analysis of 18F-FDG PET/CT in the diagnosis of infective endocarditis. J Nucl Cardiol. 2019. PMID 29086386 · 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 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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At a glance

68,036
PubMed records on this heading
52%
published since 2020
8,526
review articles
901
randomized trials
9
verified references below

Counts come from PubMed on 2026-11-04; they show how much has been written, not how strong the evidence is.

Related topics See all →

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  • Diffusion Tensor ImagingDiagnostics and Medical Technology
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  • Magnetic Resonance ImagingDiagnostics and Medical Technology
  • Perfusion ImagingDiagnostics and Medical Technology

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