Evidence map›Paper›PMID 41264459›Full record

ArticleIEEE transactions on bio-medical engineering2026

Ex-Vivo Prostate Evaluation of Fused-Data TREIT Using Only Biopsy-Probe Electrodes.

Ethan K Murphy, Xiaotian Wu, Alicia Everitt, Lawrence M Dagrosa, Jason R Pettus, Ryan J Halter

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ethan K Murphy
Xiaotian Wu
Alicia Everitt
Lawrence M Dagrosa
Jason R Pettus
Ryan J Halter

Funding

Intraoperative Surgical Margin Assessment with Electrical Impedance SpectroscopyR01CA143020 · NCI · DARTMOUTH COLLEGE · PI HALTER, RYAN JOSEPH · 2011 to 2014
$1.2M
NCI NIH HHS R01 CA143020
6 · The paper itself

Abstract

This study evaluates a fused-data transrectal electrical impedance tomography (TREIT) method for prostate cancer imaging on a set of 22 ex vivo prostates. A previously optimized TREIT algorithm is utilized, and novel validation and fusion approaches leveraging pathology information are considered. Overall, the aim was to increase the sensed volume of a standard 12-core prostate biopsy by adding TREIT imaging. Two TREIT approaches were considered: 1. including prostate boundary information (EIT-P) and 2. including prostate and tumor boundary information (EIT-P+T). Both simple electrical impedance spectroscopy (EIS) metrics and the two imaging approaches (EIT-P and EIT-P+T) were evaluated with respect to biopsy core, 3D (EIT-P) image, and tumor-grade data. Best AUCs of 0.85, 0.84, and 0.83 were found when considering increasing volumes of tissue (0.8%, 2.7%, and 15% of the prostate). The largest measurement volume (15% ), which utilized EIT-P, sensed significantly more prostate tissue than the standard biopsy only approach (<1% ). These represent large improvement compared to prior clinical EIS biopsy and TREIT studies. Tumor-grade analysis (via EIT-P+T) appears to show promise but more data is required to confirm this. Overall, the study made important strides in developing the TREIT technique and further investigation, likely in an in vivo study, appears merited.

Indexed as

Dielectric SpectroscopyProstateProstatic NeoplasmsTomographyAlgorithmsBiopsyElectric ImpedanceElectrodesHumansMale

Identifiers

PMID41264459
PMCPMC13425271

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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.