Evidence map›Paper›PMID 42783193›Full record

ArticleBiosensors2026

New Concept of Intraoperative Fluorescence Diagnostics for Photodynamic Dosimetry of Tumors Using Chlorin-Based Photosensitizers.

Kanamat Efendiev, Arkadii Moskalev, Polina Alekseeva, Alexander Borodkin, Alexey Skobeltsin, Vladimir Makarov, Nina Kalyagina, Kirill Linkov, Aida Gilyadova, Olga Shpileva and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 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

16 authors.

Kanamat EfendievDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.
Arkadii MoskalevDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.
Polina AlekseevaDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.
Alexander BorodkinDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.
Alexey SkobeltsinDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.
Vladimir MakarovDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0001-9622-1550
Nina KalyaginaDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-0890-5889
Kirill LinkovDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-0218-5443
Aida GilyadovaDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Olga ShpilevaDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Dinara IlyasovaDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Tatiana PisarevaDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Polina KozlovaDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Aidai RakhmanovaDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Artem ShiryaevDepartment of Oncology, Radiotherapy and Reconstructive Surgery, Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Victor LoschenovDepartment of Medical Photonics, Prokhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-0507-2367

Funding

Russian Science Foundation 25-75-10156
6 · The paper itself

Abstract

Photodynamic therapy (PDT) with chlorin-based photosensitizers requires real-time monitoring of photosensitizer distribution and photobleaching to guide treatment, yet existing endoscopic fluorescence systems rely on short-wavelength (375-450 nm) excitation that is spectrally incompatible with 660 nm chlorin e6 (Ce6)-PDT, forcing interruption of therapy for diagnostic imaging. We developed VENERA-red-660, a dual-channel endoscopic system using a single 660 nm laser for simultaneous white-light and Ce6 fluorescence imaging (>670 nm detection) without interrupting irradiation. System sensitivity was validated on optical phantoms (Ce6 0.1-5.0 mg/L), and phototheranostics was performed in patients with basal cell carcinoma (

Indexed as

PhotochemotherapyPhotosensitizing AgentsPorphyrinsChlorophyllidesFemaleFluorescenceHumansOptical ImagingPhantoms, ImagingchlorinChlorophyllidesPhotosensitizing AgentsphytochlorinPorphyrinsbasal cell carcinomachlorin-based photosensitizerchlorin e6endoscopic video systemfluorescence diagnosticsoptical clinical diagnosticsovarian cancerperitoneal carcinomatosisphotodynamic therapyvulvar intraepithelial neoplasia

Identifiers

PMID42783193
PMCPMC13604748

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.