Evidence map›Paper›PMID 25060914›Full record

ArticleUltrasonic imaging2015

B-mode and acoustic radiation force impulse (ARFI) imaging of prostate zonal anatomy: comparison with 3T T2-weighted MR imaging.

Mark L Palmeri, Zachary A Miller, Tyler J Glass, Kirema Garcia-Reyes, Rajan T Gupta, Stephen J Rosenzweig, Christopher Kauffman, Thomas J Polascik, Andrew Buck, Evan Kulbacki and 4 more

Abstract readComparative Study
In one paragraph

Article in Ultrasonic imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

14 authors.

Mark L PalmeriDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA mark.palmeri@duke.edu.
Zachary A MillerDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Tyler J GlassDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Kirema Garcia-ReyesDuke University School of Medicine, Durham, NC, USA.
Rajan T GuptaDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Stephen J RosenzweigDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Christopher KauffmanDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Thomas J PolascikDepartment of Surgery (Urology), Duke University Medical Center, Durham, NC, USA.
Andrew BuckDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
Evan KulbackiDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
John MaddenDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
Samantha L LipmanDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Ned C RouzeDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.
Kathryn R NightingaleDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.

Funding

Radiation Force Imaging of Prostate Cancer and Guidance of Biopsy ProceduresR01CA142824 · NCI · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2010 to 2021
$4.4M
NCI NIH HHS NIH R01CA142824NCI NIH HHS R01 CA142824
6 · The paper itself

Abstract

Prostate cancer (PCa) is the most common non-cutaneous malignancy among men in the United States and the second leading cause of cancer-related death. Multi-parametric magnetic resonance imaging (mpMRI) has gained recent popularity to characterize PCa. Acoustic Radiation Force Impulse (ARFI) imaging has the potential to aid PCa diagnosis and management by using tissue stiffness to evaluate prostate zonal anatomy and lesions. MR and B-mode/ARFI in vivo imaging datasets were compared with one another and with gross pathology measurements made immediately after radical prostatectomy. Images were manually segmented in 3D Slicer to delineate the central gland (CG) and prostate capsule, and 3D models were rendered to evaluate zonal anatomy dimensions and volumes. Both imaging modalities showed good correlation between estimated organ volume and gross pathologic weights. Ultrasound and MR total prostate volumes were well correlated (R(2) = 0.77), but B-mode images yielded prostate volumes that were larger (16.82% ± 22.45%) than MR images, due to overestimation of the lateral dimension (18.4% ± 13.9%), with less significant differences in the other dimensions (7.4% ± 17.6%, anterior-to-posterior, and -10.8% ± 13.9%, apex-to-base). ARFI and MR CG volumes were also well correlated (R(2) = 0.85). CG volume differences were attributed to ARFI underestimation of the apex-to-base axis (-28.8% ± 9.4%) and ARFI overestimation of the lateral dimension (21.5% ± 14.3%). B-mode/ARFI imaging yielded prostate volumes and dimensions that were well correlated with MR T2-weighted image (T2WI) estimates, with biases in the lateral dimension due to poor contrast caused by extraprostatic fat. B-mode combined with ARFI imaging is a promising low-cost, portable, real-time modality that can complement mpMRI for PCa diagnosis, treatment planning, and management.

Indexed as

Elasticity Imaging TechniquesHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleOrgan SizeProstateARFI imagingelasticityimage segmentationMR imagingprostatetissue modelingvisualization

Identifiers

PMID25060914
PMCPMC4423560

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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.