Evidence map›Paper›PMID 28506596›Full record

ReviewUrologic oncology2017

Advances in medical imaging for the diagnosis and management of common genitourinary cancers.

Mohammad H Bagheri, Mark A Ahlman, Liza Lindenberg, Baris Turkbey, Jeffrey Lin, Ali Cahid Civelek, Ashkan A Malayeri, Piyush K Agarwal, Peter L Choyke, Les R Folio and 1 more

Open access · hybridAbstract readReview
In one paragraph

Review in Urologic oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Head-to-head comparison of [European journal of nuclear medicine and molecular imaging · 2022
    Article
  11. Clinical value ofUrologic oncology · 2021
    Article
  12. Utility ofAJR. American journal of roentgenology · 2021
    Article
  13. Article
  14. Abdominal radiology (New York) · 2021
    Article
  15. Systematic imaging in medicine: a comprehensive review.European journal of nuclear medicine and molecular imaging · 2021
    Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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 at 4 institutions in 1 country.

Mohammad H BagheriClinical Image Processing Service, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Mark A AhlmanNuclear Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Liza LindenbergMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Baris TurkbeyMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Jeffrey LinGenitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Ali Cahid CivelekRadiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Ashkan A MalayeriRadiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Piyush K AgarwalUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter L ChoykeMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Les R FolioRadiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD.
Andrea B ApoloGenitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD. Electronic address: andrea.apolo@gmail.com.
National Institutes of Health Clinical Center · USCenter for Cancer Research · USNational Institutes of Health · USNational Cancer Institute · US

Funding

Bladder Cancer ProgramZIABC011351 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI APOLO, ANDREA · 2010 to 2025
$9.4M
Intramural NIH HHS ZIA BC011351
6 · The paper itself

Abstract

Medical imaging of the 3 most common genitourinary (GU) cancers-prostate adenocarcinoma, renal cell carcinoma, and urothelial carcinoma of the bladder-has evolved significantly during the last decades. The most commonly used imaging modalities for the diagnosis, staging, and follow-up of GU cancers are computed tomography, magnetic resonance imaging (MRI), and positron emission tomography (PET). Multiplanar multidetector computed tomography and multiparametric MRI with diffusion-weighted imaging are the main imaging modalities for renal cell carcinoma and urothelial carcinoma, and although multiparametric MRI is rapidly becoming the main imaging tool in the evaluation of prostate adenocarcinoma, biopsy is still required for diagnosis. Functional and molecular imaging using 18-fluorodeoxyglucose-PET and sodium fluoride-PET are essential for the diagnosis, and especially follow-up, of metastatic GU tumors. This review provides an overview of the latest advances in the imaging of these 3 major GU cancers.

Indexed as

FemaleHumansMagnetic Resonance ImagingMalePositron-Emission TomographyUrogenital NeoplasmsBladder urothelial carcinomaCTMRIPETProstate adenocarcinomaRenal cell carcinoma

Identifiers

PMID28506596
PMCPMC5931389
OpenAlexW2612230857

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.