Evidence map›Paper›PMID 33850791›Full record

ReviewTranslational andrology and urology2021

Current and future perspectives of digital microscopy with fluorescence confocal microscope for prostate tissue interpretation: a narrative review.

Bernardo Rocco, Alessia Cimadamore, Luca Sarchi, Luca Reggiani Bonetti, Laura Bertoni, Paola Azzoni, Simone Assumma, Filippo Turri, Giorgio Bozzini, Ahmed Eissa and 6 more

Open access · diamondAbstract readReview
In one paragraph

Review in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
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  3. Review
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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

16 authors at 3 institutions in 2 countries.

Bernardo RoccoDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Alessia CimadamoreDepartment of Pathology, Polytechnic University of the Marche Region, Ancona, Italy.
Luca SarchiDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Luca Reggiani BonettiDepartment of Pathology, University of Modena and Reggio Emilia, Modena, Italy.
Laura BertoniDepartment of Human Anatomy, University of Modena and Reggio Emilia, Modena, Italy.
Paola AzzoniDepartment of Human Anatomy, University of Modena and Reggio Emilia, Modena, Italy.
Simone AssummaDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Filippo TurriDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Giorgio BozziniASST Valle Olona, Varese, Italy.
Ahmed EissaDepartment of Urology, Faculty of Medicine, Tanta University, Tanta, Egypt.
Salvatore MicaliDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Giampaolo BianchiDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Antonino MaioranaDepartment of Pathology, University of Modena and Reggio Emilia, Modena, Italy.
Rodolfo MontironiDepartment of Pathology, Polytechnic University of the Marche Region, Ancona, Italy.
Giovanni PellacaniDepartment of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
Maria Chiara SighinolfiDepartment of Urology, University of Modena and Reggio Emilia, Modena, Italy.
University of Modena and Reggio Emilia · ITMarche Polytechnic University · ITTanta University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence confocal microscopy (FCM) is an optical imaging technique providing digital microscopical images of fresh tissue in a real time fashion, without conventional processing. FCM has been widely applied in several fields of dermatology, including the detection of basal cell carcinoma and of cutaneous inflammatory diseases. The aim of the paper is to provide an overview of FCM applications in the field of prostate tissue interpretation and prostate cancer (PCa) detection. A Literature search (PubMed & Web of Science) was performed to identify articles concerned with the clinical and surgical applications of FCM in prostatic and periprostatic tissues interpretation. Overall, six articles were identified. All articles investigated the level of agreement between FCM and conventional histopathological analysis (hematoxylin-eosin, HE) for the discrimination between normal and PCa tissues. An investigative article on prostate samples retrieved from radical prostatectomy (RP) specimens and an atlas of FCM digital images from the same series were found. Two prospective clinical trials, comparing FCM and HE, pointed out a "substantial" to "almost perfect" discriminative performance of FCM for the diagnosis of PCa on prostate biopsy core. Finally, two studies investigated the intra-operative role of FCM during RP for the control of surgical dissection. In this setting, FCM could be used to analyse samples retrieved from suspicious peri-prostatic areas; FCM has also been tested for an en-face evaluation of flat slices obtained from the systematic sampling of the posterolateral aspects of the prostate, in a NeuroSAFE-like approach. Generally, FCM provides digital microscopical images of fresh tissue in a real time fashion, without requiring conventional processing. Currently, available studies confirmed a high concordance with conventional pathology for the detection of PCa. Further studies are required to validate the technology, to evaluate ISUP score attribution and to implement the fields of application of FCM for the treatment of prostate diseases.

Indexed as

diagnosisdigitalizationfluorescence confocal microscopyProstate cancer

Identifiers

PMID33850791
PMCPMC8039586
OpenAlexW3143309477

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.