Evidence map›Paper›PMID 27567248›Full record

ArticleUrologic oncology2017

Tumor contact with prostate capsule on magnetic resonance imaging: A potential biomarker for staging and prognosis.

Michael Kongnyuy, Abhinav Sidana, Arvin K George, Akhil Muthigi, Amogh Iyer, Richard Ho, Raju Chelluri, Francesca Mertan, Thomas P Frye, Daniel Su and 5 more

Abstract read
In one paragraph

Article 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, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

15 authors.

Michael KongnyuyUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD. Electronic address: speeditomike@gmail.com.
Abhinav SidanaUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Arvin K GeorgeUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Akhil MuthigiUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Amogh IyerUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Richard HoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Raju ChelluriUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Francesca MertanMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Thomas P FryeUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Daniel SuUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Maria J MerinoLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter L ChoykeMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Bradford J WoodCenter for Interventional Oncology, National Cancer Institute & Clinical Center, National Institutes of Health, Bethesda, MD.
Peter A PintoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Baris TurkbeyMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.

Funding

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
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

backgroundThe high-spatial resolution of multiparametric magnetic resonance imaging (mpMRI) has improved the detection of clinically significant prostate cancer. mpMRI characteristics (extraprostatic extension [EPE], number of lesions, etc.) may predict final pathological findings (positive lymph node [pLN] and pathological ECE [pECE]) and biochemical recurrence (BCR). Tumor contact length (TCL) on MRI, defined as the length of a lesion in contact with the prostatic capsule, is a novel marker with promising early results. We aimed to evaluate TCL as a predictor of +pathological EPE (+pEPE),+pathological LN (+pLN), and BCR in patients undergoing robotic-assisted laparoscopic radical prostatectomy. MATERIALS AND

methodsA review was performed of a prospectively maintained single-institution database of men with prostate cancer who underwent prostate mpMRI followed by robotic-assisted laparoscopic radical prostatectomy without prior therapy from 2007 to 2015. TCL was measured using T2-weighted magnetic resonance images. Logistic and Cox regression analysis were used to assess associations of clinical, imaging, and histopathological variables with pEPE, pLN, and BCR. Receiver operating characteristic curves were used to characterize and compare TCL performance with Partin tables.

resultsThere were 87/379 (23.0%)+pEPE, 18/384 (4.7%)+pLN, and 33/371 (8.9%) BCR patients. Patients with adverse pathology/oncologic outcomes had longer TCL compared to those without adverse outcomes (+pEPE: 19.8 vs. 10.1mm, P<0.0001,+pLN: 38.0 vs. 11.7mm, P<0.0001, and BCR: 19.2 vs. 11.2mm, P = 0.001). On multivariate analysis, TCL remained a predictor of+pEPE (odds ratio: 1.04, P = 0.001),+pLN (odds ratio: 1.07, P<0.0001), and BCR (hazard ratio: 1.03, P = 0.02). TCL thresholds for predicting+pEPE and+pLN were 12.5 and 19.7mm, respectively. TCL alone was found to have good predictive ability for+pEPE and+PLN (pEPE:TCL

conclusionWe demonstrate that TCL is an independent predictor of+pEPE, +pLN, and BCR. If validated, this imaging biomarker may facilitate and inform patient counseling and decision-making.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorClinical Trials as TopicHumansLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingNomogramsPredictive Value of TestsPrognosisProstateBiomarkers, TumorProstate-Specific AntigenBiomarkerCapsuleLymph nodeMagnetic resonance imagingProstatic neoplasms

Identifiers

PMID27567248
PMCPMC7900897

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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.