Evidence map›Paper›PMID 38877356›Full record

ReviewAbdominal radiology (New York)2024

Emerging and anticipated innovations in prostate cancer MRI and their impact on patient care.

Eduardo Thadeu de Oliveira Correia, Atallah Baydoun, Qiubai Li, Daniel N Costa, Leonardo Kayat Bittencourt

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors.

Eduardo Thadeu de Oliveira CorreiaDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Atallah BaydounDepartment of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Qiubai LiDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Daniel N CostaDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Leonardo Kayat BittencourtDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA. Leonardo.KayatBittencourt@Uhhospitals.org.ORCID 0000-0001-9175-9626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) remains the leading malignancy affecting men, with over 3 million men living with the disease in the US, and an estimated 288,000 new cases and almost 35,000 deaths in 2023 in the United States alone. Over the last few decades, imaging has been a cornerstone in PCa care, with a crucial role in the detection, staging, and assessment of PCa recurrence or by guiding diagnostic or therapeutic interventions. To improve diagnostic accuracy and outcomes in PCa care, remarkable advancements have been made to different imaging modalities in recent years. This paper focuses on reviewing the main innovations in the field of PCa magnetic resonance imaging, including MRI protocols, MRI-guided procedural interventions, artificial intelligence algorithms and positron emission tomography, which may impact PCa care in the future.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsAlgorithmsArtificial IntelligenceHumansMagnetic Resonance Imaging, InterventionalMaleNeoplasm StagingPositron-Emission TomographyArtificial intelligenceMagnetic resonance imagingPositron emission tomographyProstatic neoplasms

Identifiers

PMID38877356
PMCPMC11390809

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.