Evidence map›Paper›PMID 41162798›Full record

ArticleAesthetic plastic surgery2026

A New Clinical Classification Method for Gynecomastia Based on Chest Appearance and MR/CT Images.

Jiawei Gu, Haiyang Hu, Jianghui Ying, Qianhui Xu, Lu Lu, Xiaoyan Yu, Ni Zhuang, Jie Zhou, Hua Jiang, Hui Wang

Abstract read
In one paragraph

Article in Aesthetic plastic surgery, 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

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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

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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

10 authors.

Jiawei Gu *Department of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Haiyang Hu *Department of Radiology, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Jianghui Ying *Department of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Qianhui XuDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Lu LuDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Xiaoyan YuDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Ni ZhuangDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China.
Jie ZhouDepartment of Radiology, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China. 13917311312@139.com.
Hua JiangDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China. dosjh@126.com.
Hui WangDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai, 200120, China. pathology2000@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClassification theories for gynecomastia often conflate breast ptosis degree with subcutaneous soft tissue composition, leading to further confusion in determining appropriate surgical regions and techniques. To address this, we propose a new clinical classification method for gynecomastia.

methodsWe first divided each side of male chest into six distinct regions, then separated the concept of grade and type in gynecomastia classification. Five grades were defined based on chest appearance and breast ptosis (skin redundancy). Grade 1-4 Patients underwent surgery in region 1-4 accordingly, with region 5-6 addressed if necessary. Grade 5 patients received treatment in all six regions. Two types with six subtypes were defined based on the proportion and distribution of subcutaneous glandular tissue shown in MR/CT images. Type 1 (A-C) patients typically required liposuction alone, with pull-through added if necessary, while Type 2 (A/B) patients generally required additional pull-through. For Type 2C patients, mammotome-assisted resection was used to remove dense, enlarged glands.

resultsTwo hundred and ninety-seven gynecomastia patients were included in this study. There were 32, 183, 45, 12, and 5 patients in grade 1-5, respectively, along with 20 patients with asymmetric gynecomastia. A total of 132 patients underwent preoperative MR/CT imaging, with 85 classified as Type 1, 39 as Type 2, and 8 as asymmetric cases.

conclusionWe propose a new gynecomastia classification method based on chest appearance and MR/CT images, distinguishing grade from type. Grade determines the surgical region, while type guides the choice of surgical technique. This approach is objective and clinically meaningful. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

GynecomastiaMagnetic Resonance ImagingMammaplastyTomography, X-Ray ComputedAdolescentAdultCohort StudiesEstheticsHumansLipectomyMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexTreatment OutcomeYoung AdultChest appearanceClinical classificationGynecomastiaMR/CT images

Identifiers

PMID41162798
PMCPMC13009130

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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.