Evidence map›Paper›PMID 35207477›Full record

ArticleLife (Basel, Switzerland)2022

Accurate Quantitative Histomorphometric-Mathematical Image Analysis Methodology of Rodent Testicular Tissue and Its Possible Future Research Perspectives in Andrology and Reproductive Medicine.

Réka Eszter Sziva, Júlia Ács, Anna-Mária Tőkés, Ágnes Korsós-Novák, György L Nádasy, Nándor Ács, Péter Gábor Horváth, Anett Szabó, Haoran Ke, Eszter Mária Horváth and 2 more

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Réka Eszter SzivaDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői Street 78/a, 1082 Budapest, Hungary.ORCID 0000-0002-9170-4331
Júlia ÁcsDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői Street 78/a, 1082 Budapest, Hungary.
Anna-Mária Tőkés2nd Department of Pathology, Semmelweis University, Üllői Street 93, 1091 Budapest, Hungary.
Ágnes Korsós-NovákDepartment of Pathology, Géza Hetényi Hospital, Tószegi Street 21, 5000 Szolnok, Hungary.
György L NádasyDepartment of Physiology, Semmelweis University, Tűzoltó Street 37-47, 1094 Budapest, Hungary.ORCID 0000-0003-2057-2391
Nándor ÁcsDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői Street 78/a, 1082 Budapest, Hungary.
Péter Gábor HorváthBudapest 3rd District General Practitioner, Hegyestű Bt., Füst Milán Street 28, 1039 Budapest, Hungary.
Anett SzabóAndrology Centre, Department of Urology, Semmelweis University, Üllői Street 78/b, 1082 Budapest, Hungary.
Haoran KeDepartment of Physiology, Semmelweis University, Tűzoltó Street 37-47, 1094 Budapest, Hungary.
Eszter Mária HorváthDepartment of Physiology, Semmelweis University, Tűzoltó Street 37-47, 1094 Budapest, Hungary.
Zsolt KopaAndrology Centre, Department of Urology, Semmelweis University, Üllői Street 78/b, 1082 Budapest, Hungary.
Szabolcs VárbíróDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői Street 78/a, 1082 Budapest, Hungary.ORCID 0000-0002-7109-6906
Semmelweis University · HUBudapest University of Economics and Business · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infertility is increasing worldwide; male factors can be identified in nearly half of all infertile couples. Histopathologic evaluation of testicular tissue can provide valuable information about infertility; however, several different evaluation methods and semi-quantitative score systems exist. Our goal was to describe a new, accurate and easy-to-use quantitative computer-based histomorphometric-mathematical image analysis methodology for the analysis of testicular tissue. On digitized, original hematoxylin-eosin (HE)-stained slides (scanned by slide-scanner), quantitatively describable characteristics such as area, perimeter and diameter of testis cross-sections and of individual tubules were measured with the help of continuous magnification. Immunohistochemically (IHC)-stained slides were digitized with a microscope-coupled camera, and IHC-staining intensity measurements on digitized images were also taken. Suggested methods are presented with mathematical equations, step-by-step detailed characterization and representative images are given. Our novel quantitative histomorphometric-mathematical image analysis method can improve the reproducibility, objectivity, quality and comparability of andrological-reproductive medicine research by recognizing even the mild impairments of the testicular structure expressed numerically, which might not be detected with the present semi-quantitative score systems. The technique is apt to be subjected to further automation with machine learning and artificial intelligence and can be named 'Computer-Assisted or -Aided Testis Histology' (CATHI).

Indexed as

andrologydigital pathologyfuturemathematical image analysismethodquantitative histomorphometryreproductive medicineresearchtestis

Identifiers

PMID35207477
PMCPMC8875546
OpenAlexW4210303521

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.