Evidence map›Paper›PMID 39279837›Full record

ArticleArXiv2024

Development of Advanced FEM Simulation Technology for Pre-Operative Surgical Planning.

Zhanyue Zhao, Yiwei Jiang, Charles Bales, Yang Wang, Gregory Fischer

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. 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

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

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

5 authors.

Zhanyue ZhaoDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01605 USA.
Yiwei JiangDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01605 USA.
Charles BalesDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01605 USA.
Yang WangDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01605 USA.
Gregory FischerDepartment of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01605 USA.

Funding

MR-Guided Precision Conformal Ablation Therapy for Brain TumorsR01CA166379 · NCI · WORCESTER POLYTECHNIC INSTITUTE · PI FISCHER, GREGORY S, PILITSIS, JULIE GEORGIA · 2013 to 2022
$6.5M
Physician Assistance Technology in Image-guided Robotic Intervention of ProstateR01EB030539 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI HATA, NOBUHIKO, ZHANG, HAICHONG · 2021 to 2024
$2.7M
NCI NIH HHS R01 CA166379NIBIB NIH HHS R01 EB030539
6 · The paper itself

Abstract

Intracorporeal needle-based therapeutic ultrasound (NBTU) offers a minimally invasive approach for the thermal ablation of malignant brain tumors, including both primary and metastatic cancers. NBTU utilizes a high-frequency alternating electric field to excite a piezoelectric transducer, generating acoustic waves that cause localized heating and tumor cell ablation, and it provides a more precise ablation by delivering lower acoustic power doses directly to targeted tumors while sparing surrounding healthy tissue. Building on our previous work, this study introduces a database for optimizing pre-operative surgical planning by simulating ablation effects in varied tissue environments and develops an extended simulation model incorporating various tumor types and sizes to evaluate thermal damage under trans-tissue conditions. A comprehensive database is created from these simulations, detailing critical parameters such as CEM43 isodose maps, temperature changes, thermal dose areas, and maximum ablation distances for four directional probes. This database serves as a valuable resource for future studies, aiding in complex trajectory planning and parameter optimization for NBTU procedures. Moreover, a novel probe selection method is proposed to enhance pre-surgical planning, providing a strategic approach to selecting probes that maximize therapeutic efficiency and minimize ablation time. By avoiding unnecessary thermal propagation and optimizing probe angles, this method has the potential to improve patient outcomes and streamline surgical procedures. Overall, the findings of this study contribute significantly to the field of NBTU, offering a robust framework for enhancing treatment precision and efficacy in clinical settings.

Indexed as

Finite Element ModelingNeedle Based Therapeutic UltrasoundPre-Operative Surgical Planning

Identifiers

PMID39279837
PMCPMC11398534

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.