Evidence map›Paper›PMID 41594304›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Prediction of Pancreatic Islet Yield After Pancreatectomy Using Optical Coherence Elastography.

Ekaterina Gubarkova, Ekaterina Vasilchikova, Arseniy Potapov, Denis Kuchin, Polina Ermakova, Julia Tselousova, Anastasia Anina, Liya Lugovaya, Marina Sirotkina, Natalia Gladkova and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ekaterina GubarkovaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.ORCID 0000-0001-5416-3241
Ekaterina VasilchikovaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.ORCID 0000-0001-6673-3512
Arseniy PotapovInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.ORCID 0000-0003-4343-2500
Denis KuchinDepartment of General, Operative Surgery and Topographic Anatomy Named After A.I. Kozhevnikov, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.
Polina ErmakovaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.ORCID 0000-0002-5671-3216
Julia TselousovaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.ORCID 0009-0005-8700-6070
Anastasia AninaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.
Liya LugovayaDepartment of Endocrinology and Internal Medicine, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.ORCID 0000-0001-9920-3139
Marina SirotkinaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.
Natalia GladkovaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.
Aleksandra KashinaInstitute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603950 Nizhny Novgorod, Russia.
Vladimir ZagainovResearch Institute of Clinical Oncology "Nizhny Novgorod Regional Clinical Oncological Dispensary", 603126 Nizhny Novgorod, Russia.

Funding

Ministry of Healthcare of the Russian Federation ZKFN-2024-0001
6 · The paper itself

Abstract

Intraoperative assessment of pancreatic quality, followed by sampling for the potential isolation of Langerhans islets for subsequent autotransplantation, is currently a key component of post-total pancreatectomy diabetes mellitus treatment. The aim of this study was to quantitatively evaluate pancreatic parenchymal stiffness using optical coherence elastography (OCE) imaging, and to investigate the utility of the OCE method as a potential indicator of islet yield after pancreatectomy. A total of 41 freshly excised human pancreatic specimens, containing pancreatic ductal adenocarcinoma (PDAC) and surrounding non-tumorous tissues post-pancreatectomy, were studied. In this research, the stiffness (Young's modulus, kPa) and its color-coded 2D distribution were calculated for various pancreatic samples using compression OCE. Stiffness values were compared between intact pancreatic parenchyma (islet-poor and islet-rich) and pancreatic lesion groups (parenchymal fibrosis and/or PDAC invasion). The data were confirmed by histological analysis. In addition, the measured stiffness values for various morphological groups of the pancreatic samples were compared with the number of isolated islets obtained from pancreatic samples after collagenase treatment. The study demonstrated that OCE can effectively distinguish areas of pancreatic lesions and identify intact pancreatic parenchyma containing Langerhans islets. A highly significant increase in mean stiffness (

Indexed as

islets of Langerhansoptical coherence elastography (OCE)pancreatectomypancreatic ductal adenocarcinoma (PDAC)pancreatic parenchymastiffness

Identifiers

PMID41594304
PMCPMC12840059

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