Evidence map›Paper›PMID 35242702›Full record

ReviewFrontiers in oncology2022

Targeting Local Recurrence After Surgery With MRI Imaging for Prostate Cancer in the Setting of Salvage Radiation Therapy.

Raphaële Renard-Penna, Jules Zhang-Yin, Sarah Montagne, Laurene Aupin, Eric Bruguière, Mouna Labidi, Igor Latorzeff, Christophe Hennequin

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Comparison of discovery rates and prognostic utility of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
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

8 authors.

Raphaële Renard-PennaAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France.
Jules Zhang-YinNuclear Medicine Department, Tenon Hospital, Assistance Publique des Hôpitaux de Paris (APHP), Paris, France.
Sarah MontagneAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France.
Laurene AupinAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France.
Eric BruguièreDepartment of Imaging, Clinique Pasteur, Toulouse, France.
Mouna LabidiDepartment of Oncology, Saint-Louis Hospital, Université de Paris, Assistance Publique des Hôpitaux de Paris, Paris, France.
Igor LatorzeffDepartment of Radiotherapy, Clinique Pasteur, Toulouse, France.
Christophe HennequinDepartment of Oncology, Saint-Louis Hospital, Université de Paris, Assistance Publique des Hôpitaux de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is being increasingly used for imaging suspected recurrence in prostate cancer therapy. Functional MRI with diffusion and perfusion imaging has the potential to demonstrate local recurrence even at low PSA value. Detection of recurrence can modify the management of postprostatectomy biochemical recurrence. MRI scan acquired before salvage radiotherapy is useful for the localization of recurrent tumors and also in the delineation of the target volume. The objective of this review is to assess the role and potential impact of MRI in targeting local recurrence after surgery for prostate cancer in the setting of salvage radiation therapy.

Indexed as

diffusion magnetic resonance imaginglocal neoplasm recurrenceMRIprostate cancerprostatectomyradiation therapy

Identifiers

PMID35242702
PMCPMC8887697

What OpenQuestion holds

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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.