Evidence map›Paper›PMID 28735201›Full record

ReviewTranslational oncology2017

Ultrasound Elastography of the Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study.

Seyed Reza Mousavi, Hassan Rivaz, Gregory J Czarnota, Abbas Samani, Ali Sadeghi-Naini

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Translational oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 3 institutions in 1 country.

Seyed Reza MousaviDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, Odette Cancer Research, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Department of Medical Biophysics, Western University, London, Ontario N6A 5C1, Canada.
Hassan RivazDepartment of Electrical and Computer Engineering, Concordia University, Montreal, Quebec H4B 1R6, Canada; PERFORM Centre, Concordia University, Montreal, Quebec H4B 1R6, Canada.
Gregory J CzarnotaDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, Odette Cancer Research, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M4N 3M5, Canada.
Abbas SamaniDepartment of Medical Biophysics, Western University, London, Ontario N6A 5C1, Canada; Department of Electrical and Computer Engineering, Western University, London, Ontario N6A 5B9, Canada; Graduate Program in Biomedical Engineering, Western University, London, Ontario N6A 5B9, Canada; Imaging Research Laboratories, Robarts Research Institute (RRI), London, Ontario, N6A 5K8, Canada.
Ali Sadeghi-NainiDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, Odette Cancer Research, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M4N 3M5, Canada. Electronic address: ali.sadeghi@sri.utoronto.ca.
Sunnybrook Health Science Centre · CAWestern University · CAConcordia University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel full-inversion-based technique for quantitative ultrasound elastography was investigated in a pilot clinical study on five patients for non-invasive detection and localization of prostate cancer and quantification of its extent. Conventional-frequency ultrasound images and radiofrequency (RF) data (~5 MHz) were collected during mechanical stimulation of the prostate using a transrectal ultrasound probe. Pre and post-compression RF data were used to construct the strain images. The Young's modulus (YM) images were subsequently reconstructed using the derived strain images and the stress distribution estimated iteratively using finite element (FE) analysis. Tumor regions determined based on the reconstructed YM images were compared to whole-mount histopathology images of radical prostatectomy specimens. Results indicated that tumors were significantly stiffer than the surrounding tissue, demonstrating a relative YM of 2.5±0.8 compared to normal prostate tissue. The YM images had a good agreement with the histopathology images in terms of tumor location within the prostate. On average, 76%±28% of tumor regions detected based on the proposed method were inside respective tumor areas identified in the histopathology images. Results of a linear regression analysis demonstrated a good correlation between the disease extents estimated using the reconstructed YM images and those determined from whole-mount histopathology images (r

Identifiers

PMID28735201
PMCPMC5522957
OpenAlexW2739111646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.