ArticleAbdominal radiology (New York)2026
Improving the diagnostic efficacy of MR cytometry in prostate cancer imaging.
Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
objectivesTo evaluate the improved diagnostic efficacy of the emerging non-invasive microstructure imaging technique, MR cytometry, in differentiating benign and malignant prostate lesions, after removing perfusion effect and introducing histogram features.
methodsThis study included 33 patients with prostate cancer and 39 patients with benign lesions, who underwent time-dependent diffusion MRI examinations, including pulsed gradient spin-echo (PGSE) diffusion-weighted imaging (DWI) and oscillating gradient spin-echo (OGSE) DWI at frequencies of 20 Hz and 40 Hz. A mono-exponential signal-fitting method was used to eliminate perfusion effects. Apparent diffusion coefficients (ADC), MR-cytometry-derived microstructural parameters (cell diameter [Formula: see text], intracellular volume fraction [Formula: see text], extracellular diffusivity [Formula: see text] and cellularity [Formula: see text]) and corresponding histogram features were calculated to differentiate lesions. Mann-Whitney U-tests were used to evaluate the differences between benign and malignant lesions. Uni- and multi-variate logistic regressions were performed and calculated the area under the receiver operating characteristic (AUC) to quantify the diagnostic performance of classifiers.
resultsRemoval of perfusion effect improved the significance level of the difference in the cell diameter [Formula: see text] (from [Formula: see text] to [Formula: see text]), where [Formula: see text] is larger in the benign group. The diagnostic efficacy of a single histogram feature was comparable to that of the corresponding ADC or microstructural parameter mean value. Both removing perfusion effect and incorporating histogram features can improve the AUC of the combined regression models (from 0.885 to 0.918 and 0.908, respectively). Combining both strategies further enhanced the AUC to 0.934.
conclusionIn MR cytometry analysis, removing the perfusion effect and incorporating histogram features of ADCs and microstructural parameters can provide better diagnostic efficacy.
Indexed as
Identifiers
41171409What OpenQuestion holds
Registered trials
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.