Evidence map›Paper›PMID 29158516›Full record

ArticleScientific reports2017

Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings.

Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael Feldman, Amar C Gupta, Andrei S Purysko, Lee Ponsky, Anant Madabhushi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018
    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

10 authors at 5 institutions in 1 country.

Soumya GhoseCase Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, 44106, USA. sxg709@case.edu.
Rakesh ShiradkarCase Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, 44106, USA.
Mirabela RusuCase Western Reserve University, Department of Biomedical Engineering, Niskayuna, NY, 12309, USA.ORCID 0000-0002-0372-0367
Jhimli MitraCase Western Reserve University, Department of Biomedical Engineering, Niskayuna, NY, 12309, USA.
Rajat ThawaniCase Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, 44106, USA.ORCID 0000-0002-5378-9434
Michael FeldmanUniversity of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Amar C GuptaSection of Abdominal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, OH, 44195, USA.
Andrei S PuryskoSection of Abdominal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, OH, 44195, USA.
Lee PonskyUrology Institute, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, USA.
Anant MadabhushiCase Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, 44106, USA.
Case Western Reserve University · USCleveland Clinic · USGE Global Research (United States) · USUniversity Hospitals of Cleveland · USUniversity of Pennsylvania · US

Funding

Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
Pathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9M
Comprehensive quantitative ultrafast 3D liver MRIR01DK098503 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI GULANI, VIKAS, SEIBERLICH, NICOLE · 2013 to 2017
$2.6M
Histologic image-based aggressiveness prediction in p16+ oropharyngeal carcinomaR21CA179327 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MADABHUSHI, ANANT · 2014 to 2015
$389k
Computerized morphologic-molecular predictor of progression in DCISR21CA195152 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BADVE, SUNIL S., MADABHUSHI, ANANT · 2015 to 2016
$388k
BIOMEDICAL ENGINEERING RESEARCH FACILITIESC06RR012463 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI KUTINA, KENNETH L · 1997 to 1997
–
NCI NIH HHS R01 CA202752NCI NIH HHS R01 CA208236NCI NIH HHS R21 CA179327NCI NIH HHS R21 CA195152NCI NIH HHS U24 CA199374NCRR NIH HHS C06 RR012463NIDDK NIH HHS R01 DK098503
6 · The paper itself

Abstract

Early identification of PCa patients at risk for biochemical recurrence (BCR) post-therapy will potentially complement definitive therapy with either neo- or adjuvant therapy to improve prognosis. BCR post definitive therapy is often associated with disease progression that might cause a bulge in the prostate gland. In this work we explored if an atlas-based comparison approach reveals shape differences in the prostate capsule as observed on pre-treatment T2-weighted MRI between prostate cancer patients who do (BCR

Indexed as

AgedDisease-Free SurvivalHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalPrognosisProstateProstatectomyProstate-Specific AntigenProstatic NeoplasmsRisk FactorsProstate-Specific Antigen

Identifiers

PMID29158516
PMCPMC5696460
OpenAlexW2770257328

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.