Evidence map›Paper›PMID 31098818›Full record

ArticleInternational urology and nephrology2019

Index tumor volume on MRI as a predictor of clinical and pathologic outcomes following radical prostatectomy.

Dordaneh Sugano, Abhinav Sidana, Amit L Jain, Brian Calio, Sonia Gaur, Mahir Maruf, Maria Merino, Peter Choyke, Baris Turkbey, Bradford J Wood and 1 more

Abstract read
In one paragraph

Article in International urology and nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Dordaneh SuganoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Building 10, Room 3-1621 NW, Bethesda, MD, 20814, USA.
Abhinav SidanaUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Building 10, Room 3-1621 NW, Bethesda, MD, 20814, USA.
Amit L JainUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Building 10, Room 3-1621 NW, Bethesda, MD, 20814, USA. jain.amitlodha@gmail.com.
Brian CalioUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Building 10, Room 3-1621 NW, Bethesda, MD, 20814, USA.
Sonia GaurMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Mahir MarufUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Building 10, Room 3-1621 NW, Bethesda, MD, 20814, USA.
Maria MerinoCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Peter ChoykeMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Baris TurkbeyMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Bradford J WoodNational Cancer Institute and Clinical Center, Center for Interventional Oncology, National Institutes of Health, Bethesda, MD, USA.
Peter A PintoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Building 10, Room 3-1621 NW, Bethesda, MD, 20814, USA.

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 SectionZIABC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2009 to 2025
$15.2M
Translational Surgical PathologyZIESC000853 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI MERINO, MARIA · 2009 to 2025
$4.3M
Prostate Cancer ImagingZ01BC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$2.1M
Intramural NIH HHS Z01 BC010655Intramural NIH HHS ZIA BC011081Intramural NIH HHS ZID BC011242Intramural NIH HHS ZIE SC000853
6 · The paper itself

Abstract

purposeIndex tumor volume (ITV) measured on radical prostatectomy (RP) specimens has been shown to be associated with adverse pathologic and oncologic outcomes. We evaluate the value of ITV calculated from prostate multiparametric MRI (mpMRI) in predicting adverse clinical and pathologic outcomes. MATERIALS AND

methodsData from a prospectively maintained, single-institution database were analyzed for patients who underwent mpMRI prior to RP (2007-2016). Index tumor was defined as a T2-visible lesion with the longest diameter. Adverse pathologic outcomes were extraprostatic extension (EPE), lymph node invasion (LNI), seminal vesicle invasion (SVI), and positive margins (PM). Logistic and Cox proportional hazard regression were used to assess associations with adverse pathology and biochemical recurrence (BCR), respectively.

resultsOf the 455 patients included, EPE, LNI, SVI and PM were present in 23.5%, 6.2%, 5.5% and 15.7% patients, respectively. Patients with adverse pathologic outcomes had larger median ITV. ITV was found to be an independent predictor of EPE (OR 1.22, p = 0.010), LNI (OR 1.39, p = 0.001), and SVI (OR 1.28, p = 0.009), but not PM (OR 1.03, p = 0.522). Combination of ITV and PSA was found to have predictive ability comparable to that of modified Partin tables (EPE:ITV + PSA

conclusionsWe demonstrate that ITV measured on mpMRI is a predictor of adverse pathologic and clinical outcomes and can aid in preoperative risk assessment.

Indexed as

Magnetic Resonance ImagingProstatectomyTumor BurdenHumansMaleMiddle AgedProstatic NeoplasmsRetrospective StudiesTreatment OutcomeBiomarkersMagnetic resonance imagingProstatic neoplasmsPSATumor volume

Identifiers

PMID31098818
PMCPMC8274954

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.