Evidence map›Paper›PMID 27250935›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

Voxel Level Radiologic-Pathologic Validation of Restriction Spectrum Imaging Cellularity Index with Gleason Grade in Prostate Cancer.

Ghiam Yamin, Natalie M Schenker-Ahmed, Ahmed Shabaik, Dennis Adams, Hauke Bartsch, Joshua Kuperman, Nathan S White, Rebecca A Rakow-Penner, Kevin McCammack, J Kellogg Parsons and 3 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024
    Review
  4. Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. New prostate MRI techniques and sequences.Abdominal radiology (New York) · 2020
    Review
  11. Article
  12. Article
  13. Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.Journal of magnetic resonance imaging : JMRI · 2017
    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

13 authors.

Ghiam YaminDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
Natalie M Schenker-AhmedDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
Ahmed ShabaikDepartment of Pathology, University of California San Diego School of Medicine, San Diego, California.
Dennis AdamsDepartment of Pathology, University of California San Diego School of Medicine, San Diego, California.
Hauke BartschDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
Joshua KupermanDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
Nathan S WhiteDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
Rebecca A Rakow-PennerDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
Kevin McCammackDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California.
J Kellogg ParsonsDepartment of Surgery, University of California San Diego School of Medicine, San Diego, California.
Christopher J KaneDepartment of Surgery, University of California San Diego School of Medicine, San Diego, California.
Anders M DaleDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California. Department of Neurosciences, University of California, San Diego, La Jolla, California.
David S KarowDepartment of Radiology, University of California San Diego School of Medicine, San Diego, California. dkarow@ucsd.edu.

Funding

U of Calif, San Diego Neuroscience Microscopy ImagingP30NS047101 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLEESON, JOSEPH G, ZHENG, BINHAI · 2003 to 2022
$9.0M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
NIBIB NIH HHS T32 EB005970NINDS NIH HHS P30 NS047101
6 · The paper itself

Abstract

purposeRestriction spectrum imaging (RSI-MRI), an advanced diffusion imaging technique, can potentially circumvent current limitations in tumor conspicuity, in vivo characterization, and location demonstrated by multiparametric magnetic resonance imaging (MP-MRI) techniques in prostate cancer detection. Prior reports show that the quantitative signal derived from RSI-MRI, the cellularity index, is associated with aggressive prostate cancer as measured by Gleason grade (GG). We evaluated the reliability of RSI-MRI to predict variance with GG at the voxel-level within clinically demarcated prostate cancer regions. EXPERIMENTAL

designTen cases were processed using whole mount sectioning after radical prostatectomy. Regions of tumor were identified by an uropathologist. Stained prostate sections were scanned at high resolution (75 μm/pixel). A grid of tiles corresponding to voxel dimensions was graded using the GG system. RSI-MRI cellularity index was calculated from presurgical prostate MR scans and presented as normalized z-score maps. In total, 2,795 tiles were analyzed and compared with RSI-MRI cellularity.

resultsRSI-MRI cellularity index was found to distinguish between prostate cancer and benign tumor (t = 25.48, P < 0.00001). Significant differences were also found between benign tissue and prostate cancer classified as low-grade (GG = 3; t = 11.56, P < 0.001) or high-grade (GG ≥ 4; t = 24.03, P < 0.001). Furthermore, RSI-MRI differentiated between low and high-grade prostate cancer (t = 3.23; P = 0.003).

conclusionsBuilding on our previous findings of correlation between GG and the RSI-MRI among whole tumors, our current study reveals a similar correlation at voxel resolution within tumors. Because it can detect variations in tumor grade with voxel-level precision, RSI-MRI may become an option for planning targeted procedures where identifying the area with the most aggressive disease is important. Clin Cancer Res; 22(11); 2668-74. ©2016 AACR.

Indexed as

AgedData Interpretation, StatisticalHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingProstateProstatectomyProstatic NeoplasmsReproducibility of Results

Identifiers

PMID27250935
PMCPMC4896066

What OpenQuestion holds

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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.