Evidence map›Paper›PMID 41131421›Full record

ReviewSurgical and radiologic anatomy : SRA2025

Maximizing surgical precision in gracilis muscle reconstruction: anatomical Variants, advanced Imaging, and novel surgical strategies.

Ingrid C Landfald, Paloma Aragonés, Dina Dehghani, John Coleman, Jakub Adamek, Yaashmithaa A/P Siva Kumar, Łukasz Olewnik

Abstract readReview
In one paragraph

Review in Surgical and radiologic anatomy : SRA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Ingrid C LandfaldDepartment of Clinical Anatomy, Mazovian Academy in Płock, Płock, Poland.
Paloma AragonésDepartment of Orthopedic Surgery, Medical Faculty, Universidad Complutense de Madrid, Madrid, Spain.
Dina DehghaniDepartment of Orthopaedics, Medical University of Łódź, Łódź, Poland.
John ColemanDepartment of Internal Medicine, University of Miami Miller School of Medicine, Holy Cross Health, Fort Lauderdale, FL, USA.
Jakub AdamekDepartment of Clinical Chemistry and Biochemistry, Medical University of Łódź, Łódź, Poland.
Yaashmithaa A/P Siva KumarDepartment of Orthopaedics, Medical University of Łódź, Łódź, Poland.
Łukasz OlewnikDepartment of Clinical Anatomy, Mazovian Academy in Płock, Płock, Poland. l.olewnik@mazowiecka.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gracilis muscle (GM) is a reliable flap in reconstructive microsurgery due to its consistent anatomy and low donor-site morbidity. However, morphological, vascular, and neural variations may complicate surgical planning and outcomes.

methodsA narrative review was conducted based on anatomical studies, imaging reports, and surgical case series sourced from PubMed and Scopus (up to 2025), with emphasis on anatomical variants, imaging modalities, and reconstructive strategies.

resultsKey variants include supernumerary heads, accessory slips, multiple vascular pedicles, and diverse innervation patterns. These factors affect flap design, harvesting, and reinnervation success. Advanced imaging techniques such as CTA, MRA, Doppler ultrasound, and ICG angiography enable precise preoperative mapping. We propose two clinical frameworks—the Gracilis Functional Flap Classification (GFFC) and the Gracilis Innervation-Based Surgical Planning Algorithm (GISPA)—to integrate anatomical variation into individualized surgical planning.

conclusionsGM anatomical variability significantly influences reconstructive outcomes. The integration of GFFC and GISPA, supported by imaging and emerging technologies, enhances surgical precision and functional results in microsurgical applications.

Indexed as

Anatomic VariationGracilis MuscleMicrosurgeryPlastic Surgery ProceduresSurgical FlapsAlgorithmsHumansPatient Care Planning

Identifiers

PMID41131421
PMCPMC12549757

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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.