Evidence map›Paper›PMID 29852182›Full record

ArticleThe Journal of urology2018

Added Value of Multiparametric Magnetic Resonance Imaging to Clinical Nomograms for Predicting Adverse Pathology in Prostate Cancer.

Kareem N Rayn, Jonathan B Bloom, Samuel A Gold, Graham R Hale, Joseph A Baiocco, Sherif Mehralivand, Marcin Czarniecki, Vikram K Sabarwal, Vladimir Valera, Bradford J Wood and 4 more

Abstract read
In one paragraph

Article in The Journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  5. Article
  6. Prostate Cancer Local Staging with Magnetic Resonance Imaging.Radiologic clinics of North America · 2024
    Review
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  11. Transperineal Ultrasound Before and After Prostatectomy: Technical Approach and Description.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Kareem N RaynUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Jonathan B BloomUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Samuel A GoldUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Graham R HaleUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Joseph A BaioccoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Sherif MehralivandUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Department of Urology and Pediatric Urology, University Medical Center Mainz, Johannes Gutenberg University Mainz, Mainz, Germany.
Marcin CzarnieckiMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Vikram K SabarwalUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Vladimir ValeraUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Bradford J WoodCenter for Interventional Oncology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Maria J MerinoLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Peter ChoykeMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Baris TurkbeyMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Peter A PintoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Center for Interventional Oncology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: pintop@mail.nih.gov.

Funding

Prostate Cancer ImagingZIABC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2025
$49.2M
Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Prostate Cancer ImagingZ01BC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$2.1M
Prostate SectionZ01BC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2008 to 2008
$99k
Interventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Intramural NIH HHS Z01 BC010655Intramural NIH HHS Z01 BC011081
6 · The paper itself

Abstract

purposeWe examined the additional value of preoperative prostate multiparametric magnetic resonance imaging and transrectal ultrasound/multiparametric magnetic resonance imaging fusion guided targeted biopsy when performed in combination with clinical nomograms to predict adverse pathology at radical prostatectomy. MATERIALS AND

methodsWe identified all patients who underwent 3 Tesla multiparametric magnetic resonance imaging prior to fusion biopsy and radical prostatectomy. The Partin and the MSKCC (Memorial Sloan Kettering Cancer Center) preradical prostatectomy nomograms were applied to estimate the probability of organ confined disease, extraprostatic extension, seminal vesicle invasion and lymph node involvement using transrectal ultrasound guided systematic biopsy and transrectal ultrasound/multiparametric magnetic resonance imaging fusion guided targeted biopsy Gleason scores. With radical prostatectomy pathology as the gold standard we developed multivariable logistic regression models based on these nomograms before and after adding multiparametric magnetic resonance imaging to assess any additional predictive ability.

resultsA total of 532 patients were included in study. When multiparametric magnetic resonance imaging findings were added to the systematic biopsy based MSKCC nomogram, the AUC increased by 0.10 for organ confined disease (p <0.001), 0.10 for extraprostatic extension (p = 0.003), 0.09 for seminal vesicle invasion (p = 0.011) and 0.06 for lymph node involvement (p = 0.120). Using Gleason scores derived from targeted biopsy compared to systematic biopsy provided an additional predictive value of organ confined disease (Δ AUC 0.07, p = 0.003) and extraprostatic extension (Δ AUC 0.07, p = 0.048) at radical prostatectomy with the MSKCC nomogram. Similar results were obtained using the Partin nomogram.

conclusionsMagnetic resonance imaging alone or in addition to standard clinical nomograms provides significant additional predictive ability of adverse pathology at the time of radical prostatectomy. This information can be greatly beneficial to urologists for preoperative planning and for counseling patients regarding the risks of future therapy.

Indexed as

NomogramsAgedBiopsy, Large-Core NeedleFeasibility StudiesHumansImage-Guided BiopsyImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Imaging, InterventionalMaleMiddle AgedNeoplasm GradingPredictive Value of TestsPreoperative CareProspective StudiesProstateimage-guided biopsynomogramsprostatectomyprostatic neoplasmsrisk assessment

Identifiers

PMID29852182
PMCPMC7983159

What OpenQuestion holds

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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.