Evidence map›Paper›PMID 41760729›Full record

ArticleScientific reports2026

Multicenter clinicopathological study of odontogenic myxoma spectrum lesions using quantitative pathology.

Yosuke Harazono, Yuki Fukawa, Takuya Iwasaki, Yohei Hama, Naoto Nishii, Yosuke Tanaka, Hikari Saito, Hideaki Kamochi

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

8 authors.

Yosuke HarazonoDepartment of Maxillofacial Surgery, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan. yharmfs@tmd.ac.jp.
Yuki FukawaDepartment of Oral Pathology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Takuya IwasakiDepartment of Maxillofacial Surgery, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Yohei HamaDepartment of Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo- ku, Tokyo, 113-8510, Japan.
Naoto NishiiDepartment of Oral and Maxillofacial Surgical Oncology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Yosuke TanakaDepartment of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Hikari SaitoDivision of Surgical Pathology, Institute of Science Tokyo hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Hideaki KamochiDepartment of Maxillofacial Surgery, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Odontogenic myxoma (OM) and odontogenic myxofibroma (OMF) are rare benign odontogenic tumors characterized by heterogeneous stromal composition, for which objective and reproducible pathological evaluation remains challenging. This multicenter study aimed to quantitatively assess fibrous tissue proportion (FTP) using AI-assisted digital pathology and to explore its clinicopathological relevance across odontogenic myxoma spectrum lesions. A total of 143 surgical specimens were collected from 34 institutions, and 100 cases were included after centralized pathological review. FTP was independently estimated by two board-certified oral pathologists to generate expert reference data. Whole-slide images of Masson's trichrome-stained sections were analyzed using a multi-stage deep learning pipeline implemented within a unified digital pathology platform. Agreement between expert assessment and quantitative measurements was evaluated, and associations between FTP and clinical variables were explored. Quantitative FTP measurements showed good agreement with expert pathological evaluation and revealed substantial inter-institutional variability in pathological diagnoses. In clinicopathological analyses, higher FTP was independently associated with unilocular radiological morphology. These findings demonstrate that AI-assisted quantitative pathology provides a reproducible framework for visualizing stromal heterogeneity in odontogenic myxoma spectrum lesions and may support more consistent clinicopathological interpretation across institutions.

Indexed as

FibromaMyxomaOdontogenic TumorsAdolescentAdultAgedFemaleHumansMaleMiddle AgedYoung AdultClinicopathological correlationDigital pathologyOdontogenic myxofibromaOdontogenic myxomaQuantitative pathologyRadiological morphology

Identifiers

PMID41760729
PMCPMC13046860

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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.