Evidence map›Paper›PMID 35645981›Full record

ArticleFrontiers in neurology2022

Surgical Effects of Resecting Skull Base Tumors Using Pre-operative Multimodal Image Fusion Technology: A Retrospective Study.

Zhi-Heng Jian, Jia-Yan Li, Kai-Hua Wu, Yu Li, Shi-Xue Li, Hai-Dong Chen, Gang Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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 at 2 institutions in 1 country.

Zhi-Heng JianDepartment of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University, China), Zhuhai, China.
Jia-Yan LiDepartment of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University, China), Zhuhai, China.
Kai-Hua WuDepartment of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University, China), Zhuhai, China.
Yu LiDepartment of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University, China), Zhuhai, China.
Shi-Xue LiDepartment of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University, China), Zhuhai, China.
Hai-Dong ChenDepartment of Radiology, Zhuhai's People Hospital, Zhuhai, China.
Gang ChenDepartment of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University, China), Zhuhai, China.
Zhuhai People's Hospital · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To analyze the surgical effects of resecting skull base tumors using multimodal three-dimensional (3D) image fusion technology in the neurosurgery department and present some typical cases. Methods: From October 2019 to October 2021, we included 47 consecutive patients with skull base tumors in the Neurosurgery Department at Zhuhai People's Hospital in this study. Pre-operative head computed tomography and magnetic resonance imaging data acquisition was performed using the GE AW workstation software for registration fusion, image fusion, and 3D reconstruction. The surgical approach and surgical plan were designed based on the multimodal 3D image, and the resection rate, complication rate, and operative time of the surgery using the multimodal image fusion technique were analyzed. Results: The reconstructed multimodal 3D images precisely demonstrated the size, location, and shape of the tumor along with the anatomical relationship between the tumor and surrounding structures, which is consistent with the intraoperative findings. Among 47 patients, 39 patients (78.7%) underwent total resection, 5 (14.9%) underwent subtotal resection, and 3 (6.4%) underwent partial resection. The mean operative time was 4.42 ± 1.32 h. No patient died during the inpatient period. Post-operative complications included 6 cases of cerebrospinal fluid leakage (14.9%), 3 cases of intracranial infection (6.4%), 6 cases of facial paralysis (12.8%), 2 cases of dysphagia (4.3%), and 1 case of diplopia (2.1%), all of which were improved after symptomatic treatment. The application value of pre-operative 3D image fusion technology was evaluated as outstanding in 40 cases (85.1%) and valuable in 7 cases (14.9%). Conclusions: Pre-operative multimodal image fusion technology can provide valuable visual information in skull base tumor surgery and help neurosurgeons design the surgical incision, choose a more rational surgical approach, and precisely resect the tumor. The multimodal image fusion technique should be strongly recommended for skull base tumor surgery.

Indexed as

cerebral fluid leakageimage infusionmicro-surgical procedureneurosurgeryskull base reconstructionskull base tumor

Identifiers

PMID35645981
PMCPMC9133916
OpenAlexW4280523666

What Socratic holds

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LicenceCC BY
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 Socratic graph.