Evidence mapPaperPMID 40580273Full record

ReviewJapanese journal of radiology2025

Comprehensive review of pulmonary embolism imaging: past, present and future innovations in computed tomography (CT) and other diagnostic techniques.

Sonia Triggiani, Giuseppe Pellegrino, Sveva Mortellaro, Alessandra Bubba, Carolina Lanza, Serena Carriero, Pierpaolo Biondetti, Salvatore Alessio Angileri, Roberta Fusco, Vincenza Granata and 1 more

Abstract readReview
In one paragraph

Review in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Association Betweenn Preoperative RDW and Postoperative Pulmonary Embolism in Trauma Patients: A Propensity Score-Matched Multicenter Cohort Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

11 authors.

Sonia TriggianiPostgraduation School in Radiodiagnostics, University of Milan, 20122, Milan, Italy.
Giuseppe PellegrinoPostgraduation School in Radiodiagnostics, University of Milan, 20122, Milan, Italy.
Sveva MortellaroPostgraduation School in Radiodiagnostics, University of Milan, 20122, Milan, Italy. sveva.mortellaro@unimi.it.ORCID http://orcid.org/0009-0004-3735-5494
Alessandra BubbaPostgraduation School in Radiodiagnostics, University of Milan, 20122, Milan, Italy.
Carolina LanzaRadiology Department, Fondazione IRCCS Cà Granda, Policlinico di Milano Ospedale Maggiore, 20122, Milan, Italy.
Serena CarrieroRadiology Department, Fondazione IRCCS Cà Granda, Policlinico di Milano Ospedale Maggiore, 20122, Milan, Italy.
Pierpaolo BiondettiRadiology Department, Fondazione IRCCS Cà Granda, Policlinico di Milano Ospedale Maggiore, 20122, Milan, Italy.
Salvatore Alessio AngileriRadiology Department, Fondazione IRCCS Cà Granda, Policlinico di Milano Ospedale Maggiore, 20122, Milan, Italy.
Roberta FuscoDivision of Radiology, Istituto Nazionale per lo studio e la cura dei Tumori "Fondazione G. Pascale", Naples, Italy.
Vincenza GranataDivision of Radiology, Istituto Nazionale per lo studio e la cura dei Tumori "Fondazione G. Pascale", Naples, Italy.
Gianpaolo CarrafielloPostgraduation School in Radiodiagnostics, University of Milan, 20122, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary embolism (PE) remains a critical condition that demands rapid and accurate diagnosis, for which computed tomographic pulmonary angiography (CTPA) is widely recognized as the diagnostic gold standard. However, recent advancements in imaging technologies-such as dual-energy computed tomography (DECT), photon-counting CT (PCD-CT), and artificial intelligence (AI)-offer promising enhancements to traditional diagnostic methods. This study reviews past, current and emerging technologies, focusing on their potential to optimize diagnostic accuracy, reduce contrast volumes and radiation doses, and streamline clinical workflows. DECT, with its dual-energy imaging capabilities, enhances image clarity even with lower contrast media volumes, thus reducing patient risk. Meanwhile, PCD-CT has shown potential for dose reduction and superior image resolution, particularly in challenging cases. AI-based tools further augment diagnostic speed and precision by assisting radiologists in image analysis, consequently decreasing workloads and expediting clinical decision-making. Collectively, these innovations hold promise for improved clinical management of PE, enabling not only more accurate diagnoses but also safer, more efficient patient care. Further research is necessary to fully integrate these advancements into routine clinical practice, potentially redefining diagnostic workflows for PE and enhancing patient outcomes.

Indexed as

Pulmonary EmbolismTomography, X-Ray ComputedArtificial IntelligenceComputed Tomography AngiographyContrast MediaHumansRadiation DosageContrast MediaArtificial intelligence (AI)Computed tomographic pulmonary angiography (CTPA)Computer-aid detection (CAD)Dual-energy computed tomography (DECT)Photon-counting detector CT (PCD-CT)Pulmonary embolism (EP)

Identifiers

PMID40580273
PMCPMC12479586

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.