Evidence map›Paper›PMID 41738313›Full record

ArticleBJU international2026

Use of parallel fluorescent confocal microscopy for detection of prostatic adenocarcinoma.

Kevin Clare, Kenneth Haines, Jeremy Littlefield, Asher Mandel, Hannah Sur, Neeraja Tillu, Henry Jodka, Daniel Ajabshir, Fatima Ahmad, Chahat Arora and 4 more

Abstract read
In one paragraph

Article in BJU international, 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

14 authors.

Kevin ClareDepartment of Pathology, Molecular and Cell-base Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kenneth HainesDepartment of Pathology, Molecular and Cell-base Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jeremy LittlefieldDepartment of Pathology, Molecular and Cell-base Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Asher MandelDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hannah SurDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Neeraja TilluDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-4149-0486
Henry JodkaDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Daniel AjabshirDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Fatima AhmadDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Chahat AroraDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Cristina Pasat-KarasikDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Monali FatterpekarDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ash TewariDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ming ZhouDepartment of Pathology, Molecular and Cell-base Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0009-0003-7947-7003

Funding

samantree
6 · The paper itself

Abstract

objectiveTo provide a histological catalogue and defined criteria for the diagnosis of prostatic adenocarcinoma and its variants using the fluorescent confocal microscope (FCM) platform.

methodsA total of 22 radical prostatectomy specimens were serially sectioned and scanned with the FCM. The prostatic tissue then underwent routine histological preparation. The FCM images were assessed against traditional haematoxylin and eosin images to document FCM prostatic histology.

resultsWe first comprehensively catalogued FCM images of a wide range of benign and malignant prostate tissue. We then analysed and identified FCM features characteristic of cancer glands. They include fused or connected solid glands, lack of lumens, heterogeneous nuclear signals and lack of three-dimensional depth on greyscale imaging. Gleason patterns 3 and 4 cancer glands were morphologically different on FCM. The smallest focus of cancer detected on FCM was 0.7 × 1.2 mm Gleason score 3 + 3 = 6 cancer.

conclusionThe image atlas and the diagnostic criteria presented in this study will help train pathologists to proficiently use FCM for rapid intraoperative evaluation of surgical margins during radical prostatectomy.

Indexed as

AdenocarcinomaProstatic NeoplasmsHumansMaleMicroscopy, ConfocalMicroscopy, FluorescenceNeoplasm GradingProstatectomyfluorescent confocal microscopyintraoperative evaluationnormal histologyprostatic adenocarcinomaradical prostatectomy

Identifiers

PMID41738313
PMCPMC13314562

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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.