Evidence map›Paper›PMID 37601290›Full record

ArticleMethodsX2023

MatBED_B&C: A 3-dimensional biologically effective dose analytic approach for the retrospective study of gamma knife radiosurgery in a B&C model.

Ke Tang, Nan Zhang, Xiaodong Yuan, Zenghui Qian, Yang Li, Xu Feng

Abstract read
In one paragraph

Article in MethodsX, 2023. 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

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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

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

6 authors.

Ke TangDepartment of Neurosurgery, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, PR China.
Nan ZhangDepartment of Neurosurgery, Huashan Hospital, Fudan University, 12 Wulumuqi (Middle) Road, Shanghai, PR China.
Xiaodong YuanDepartment of Radiology, The Eighth Medical Center of Chinese PLA General Hospital, 17 Heishanhu Road, Beijing, PR China.
Zenghui QianDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 Fanyang Road, Fengtai District, Beijing, PR China.
Yang LiDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, 22 Zhongguancun South Road, Beijing, PR China.
Xu FengDepartment of Basic Medicine, Xiamen Medical College, 1999 Guankouzhong Road, Xiamen, Fujian Province, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biological effect of irradiation is not solely determined by the physical dose. Gamma knife radiosurgery may be influenced by dose rate, beam-on-time, numbers of iso-centers, the gap between the individual iso-centers, and the dose‒response of various tissues. The biologically effective dose (BED) for radiosurgery considers these issues. Millions of patients treated with Models B and C provide a vast database to mine BED-related information. This research aims to develop MatBED_B&C, a 3-dimensional (3D) BED analytic approach, to generate a BED for individual voxels in the calculation matrix with related parameters extracted from Gammaplan. This approach calculates the distribution profiles of the BED in radiosurgical targets and organs at risk. A BED calculated on a voxel-by-voxel basis can be used to show the 3D morphology of the iso-BED surface and visualize the BED spatial distribution in the target. A 200 × 200 × 200 matrix can cover a greater range of the organ at risk. The BED calculated by MatBED_B&C can also be used to form BED-volume histograms to generate plan quality metrics, which will be studied in a retrospective study of gamma knife radiosurgery to guide future BED planning.•We develop MatBED_B&C to calculate the 3D BED in radiosurgical targets.•The BED of MatBED_B&C can visualize the BED spatial distribution profiles.•The BED of MatBED_B&C will generate plan quality metrics studied in a retrospective study.

Indexed as

Curve fittingDose distributionMatBED_B&CQuality metricsStereotacticThree-dimensional model

Identifiers

PMID37601290
PMCPMC10433126

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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.