Evidence map›Paper›PMID 40855139›Full record

ReviewAnnals of nuclear medicine2025

Advances in imaging-based diagnosis, prognosis, and response assessment in cardiac amyloidosis: a comprehensive multimodality review.

Osamu Manabe, Seitaro Oda, Takashi Norikane, Tadao Aikawa, Yuka Otaki, Nagara Tamaki

Abstract readReview
In one paragraph

Review in Annals of nuclear medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Osamu ManabeDepartment of Radiology, Jichi Medical University Saitama Medical Center, 1-847 Amanuma-Cho, Omiya-ku, Saitama, 330-8503, Japan. omanabe@jichi.ac.jp.ORCID http://orcid.org/0000-0001-8518-8441
Seitaro OdaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Takashi NorikaneDepartments of Radiology, Faculty of Medicine, Kagawa University, Kagawa, Japan.
Tadao AikawaDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yuka OtakiDepartment of Radiology, Sakakibara Heart Institute, Tokyo, Japan.
Nagara TamakiKyoto University of Medical Science, Sonobe, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac amyloidosis, characterized by extracellular deposition of amyloid fibrils within the myocardium, is an increasingly recognized cause of heart failure. With the advent of disease-modifying therapies, imaging has become central to diagnosis, subtype differentiation, prognostication, and treatment monitoring. This review provides a comprehensive update on multimodality imaging in cardiac amyloidosis, emphasizing its clinical utility across the disease continuum. Echocardiography, technetium-labeled bone scintigraphy, amyloid-specific positron emission tomography, cardiac magnetic resonance, and cardiac computed tomography each contribute uniquely to detecting amyloid burden and assessing cardiac function. In addition to outlining a practical diagnostic approach, we highlight emerging imaging biomarkers for monitoring treatment response and predicting clinical outcomes. The integration of these modalities into clinical practice enhances diagnostic accuracy, enables individualized risk stratification, and supports optimized, evidence-based care for patients with cardiac amyloidosis.

Indexed as

AmyloidosisMultimodal ImagingHumansPrognosisAL amyloidosisAmyloid PETATTR amyloidosisCardiac amyloidosisCardiac MRIEchocardiographyScintigraphySPECT/CT

Identifiers

PMID40855139
PMCPMC12450123

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.