Evidence map›Paper›PMID 39623101›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Radiation source detection for the accurate location of lymph node metastases using robotic forceps-type coincidence radiation detector.

Kazuya Kawamura, Ayano Nakajima, Shigeki Ito, Miwako Takahashi, Taiga Yamaya

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Kazuya KawamuraCenter for Frontier Medical Engineering, Chiba University, Chiba, Japan. kawamura@chiba-u.jp.ORCID http://orcid.org/0000-0002-2736-1311
Ayano NakajimaGraduate School of Science and Engineering, Chiba University, Chiba, Japan.
Shigeki ItoMirai-Imaging Corporation, Fukushima, Japan.
Miwako TakahashiNational Institutes for Quantum Science and Technology, Chiba, Japan.ORCID http://orcid.org/0000-0002-1953-7428
Taiga YamayaNational Institutes for Quantum Science and Technology, Chiba, Japan.

Funding

Center for Clinical Trials, Japan Medical Association JP22hm0102078s0103Japan Agency for Medical Research and Development JP21hm0102078s0102the CASIO Science Promotion Foundation 40-05the Tateisi Science and Technology Foundation 2231012
6 · The paper itself

Abstract

purposeWe have developed a forceps-type coincidence radiation detector for supporting lymph node dissection in esophageal cancer treatment. For precise detecting, this study aims to measure the 2D point-spread function of the detector at three difference tip angles, to devise a method to determine the position of a point source using the 2D point-spread function.

methodThe 2D sensitivity distribution on the surface of the detector was investigated to assess sensitivity variation caused by differences in the relative positions of the detector and radiation source. Based on the results, we identified the peak sensitivity value and proposed a detection method using this value. We evaluated the effectiveness of the proposed method by detecting radiation source location using this simulated distribution.

resultFrom the radiation sensitivity distribution measurements, we observed a gradual decrease in radiation detection sensitivity from the center toward the edges of the detector surface. Additionally, we verified that the peak sensitivity value was attainable. Through the basic verification of the detection method, we confirmed that the radiation source location could be detected within a maximum error of 1.4 mm.

conclusionWe developed a peak value search method aimed at mitigating sensitivity variations by leveraging the sensitivity distribution across the detector surface. The proposed device is thought to be able to quantitatively evaluate the desired target assuming that the field of view could be limited to the area clamped by the detector. As a next research step, more precise search methods should be verified in an environment resembling the one of the target clinical uses.

Indexed as

Esophageal NeoplasmsLymphatic MetastasisLymph Node ExcisionRobotic Surgical ProceduresTomography, X-Ray ComputedEquipment DesignHumansSensitivity and SpecificityCoincidence radiation detectingDetermination of point-spread functionEsophageal cancerLymph node dissection

Identifiers

PMID39623101
PMCPMC12034586

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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.