Evidence map›Paper›PMID 36128857›Full record

Observational studyOrthopaedic surgery2022

Personalized Surgical Planning for Soft Tissue Sarcoma of the Popliteal Fossa with a Novel 3D Imaging Technique.

Xiang Fang, Fang Yuan, Yan Xiong, Senlin Lei, Dechao Yuan, Yong Zhou, Wenli Zhang, Chongqi Tu, Hong Duan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Orthopaedic surgery, 2022. 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
0.3field-weighted citation impact, top 41% of its field
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, 2 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Xiang FangDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Fang YuanDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yan XiongDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Senlin LeiDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Dechao YuanDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yong ZhouDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Wenli ZhangDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Chongqi TuDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Hong DuanDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID https://orcid.org/0000-0001-9430-5937
Sichuan University · CN

Funding

Health and Family Planning Commission research project of Sichuan Province 18PJ465West China Hospital Sichuan University Science Funds 141120752
6 · The paper itself

Abstract

objectiveSoft tissue sarcomas (STSs) arising from the popliteal fossa pose surgical challenges due to their proximity to critical neurovascular structures. This study aimed to investigate whether a novel 3D imaging technique highlighting these key anatomical structures could facilitate preoperative planning and improve surgical outcomes in STS.

methodsThis was a prospective, observational, pilot study. Between November 2019 and December 2020, 27 patients with STS of the popliteal fossa undergoing limb-sparing procedures were enrolled and assigned to either a control or intervention group. Control patients underwent traditional preoperative planning with separate computed tomography angiography, magnetic resonance imaging, and magnetic resonance hydrography. In the intervention group, 3D images were generated from these images, the tumor and skeletomuscular and neurovascular structures were revealed in three dimensions, and this was visualized on the surgeon's smartphone or computer. Primary endpoints were surgical margins and complications. Secondary endpoints included operative time, blood loss, serum C-reactive protein and interleukin-6, length of in-hospital stay, and limb function. Comparisons between groups were made using independent-sample t-tests for continuous data and the Mann-Whitney U and Fisher's exact tests for categorical data.

resultsThere was a lower but not significantly different inadvertent positive margin rate (1/15 vs. 3/12, P = 0.294), significantly shorter hospital stay (P = 0.049), and less numbers ≥75th percentile of operative time (P = 0.037) and blood loss (P = 0.024) in the intervention group. Differences in surgical complications, operative time, blood loss, C-reactive protein and interleukin-6 levels on the second postoperative day, and limb functional scores were statistically insignificant.

conclusionsThe novel 3D imaging technique facilitates complex preoperative planning and limb-salvage surgical procedures for patients with STS of the popliteal fossa, and this may affect how surgical planning is performed in the future.

Indexed as

SarcomaSoft Tissue NeoplasmsC-Reactive ProteinHumansImaging, Three-DimensionalInterleukin-6Margins of ExcisionPilot ProjectsProspective StudiesRetrospective StudiesC-Reactive ProteinInterleukin-63D imagingLength of hospital stayNeurovascular evaluationPersonalized surgeryPopliteal fossa

Identifiers

PMID36128857
PMCPMC9627051
OpenAlexW4296707632

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.