Evidence map›Paper›PMID 42463547›Full record

ArticleDiscover nano2026

Numerical optimization of laser radius ratio and power in photothermal therapy of various ellipsoidal tumor shape.

Hyeongyoon Choi, Uijin Oh, Donghyuk Kim, Hyunjung Kim

Abstract read
In one paragraph

Article in Discover nano, 2026. 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

4 authors.

Hyeongyoon Choi *Department of Mechanical Engineering, Ajou University, Suwon-si, Gyeonggi-do, 16499, Korea.
Uijin Oh *Department of Mechanical Engineering, Ajou University, Suwon-si, Gyeonggi-do, 16499, Korea.
Donghyuk KimDepartment of Mechanical Engineering, Ajou University, Suwon-si, Gyeonggi-do, 16499, Korea.
Hyunjung KimDepartment of Mechanical Engineering, Ajou University, Suwon-si, Gyeonggi-do, 16499, Korea. hyunkim@ajou.ac.kr.

Funding

National Research Foundation of Korea NRF-2022R1A2C2012470
6 · The paper itself

Abstract

Cancer remains a major global health burden, and the incidence of skin cancer has steadily increased over the past several decades. Among various treatment modalities, photothermal therapy (PTT), a noninvasive technique, has attracted considerable attention due to its advantages of minimal bleeding and rapid recovery. Although extensive research on PTT has been conducted, most numerical studies have simplified tumors into cylindrical or spherical geometries, which fail to adequately represent the geometric irregularities of real tumors. To overcome this limitation, tumors were modeled as ellipsoids with varying aspect ratios, and a numerical analysis was performed by integrating Monte Carlo simulations with heat transfer calculations. Specifically, a systematic parametric study was conducted using the tumor aspect ratio, laser beam radius ratio, and irradiation power as variables to quantitatively evaluate the photothermal therapeutic efficacy. By employing the Arrhenius thermal damage model to analyze the laser power required for tumor ablation, it was revealed that the required power exhibits a U-shaped behavior with respect to the radius ratio. Additionally, it was confirmed that although thermal damage to normal tissue progressively decreases as the laser radius ratio increases, applying an excessively large radius ratio requires very high laser power, and is thus accompanied by clear physical and clinical constraints. Ultimately, by comprehensively considering the spatial energy distribution of the Gaussian beam and the geometric complexity of the elliptical tumor, these findings suggest that the conventional approach of simply matching the beam radius to the tumor radius must be reconsidered.

Indexed as

Arrhenius thermal damageEllipsoidal tumorLaser radiusPhotothermal therapyTumor aspect ratio

Identifiers

PMID42463547
PMCPMC13376068

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LicenceCC BY-NC-ND
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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.