Evidence map›Paper›PMID 41211608›Full record

ArticleAdvances in radiation oncology2025

A Prospective First-In-Human Pilot Study

Bo Liu, Savita Dandapani, Yun Li, Scott Glaser, Helen Chen, Tanya Dorff, Dave Yamauchi, Quan Chen, Kun Qing, Chengyu Shi and 5 more

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Bo LiuDepartments of Radiation Oncology.
Savita DandapaniDepartments of Radiation Oncology.
Yun LiDepartments of Radiation Oncology.
Scott GlaserDepartments of Radiation Oncology.
Helen ChenDepartments of Radiation Oncology.
Tanya DorffMedical Oncology.
Dave YamauchiDiagnostic Radiology, City of Hope, Duarte, California.
Quan ChenDepartments of Radiation Oncology.
Kun QingDepartments of Radiation Oncology.
Chengyu ShiDepartments of Radiation Oncology.
Angela J Da SilvaRefleXion Medical, Inc., Hayward, California.
Karine A Al FeghaliRefleXion Medical, Inc., Hayward, California.
An LiuDepartments of Radiation Oncology.
Terence WilliamsDepartments of Radiation Oncology.
Jeffrey Y C WongDepartments of Radiation Oncology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The RefleXion X1 Medical Radiotherapy System (RefleXion Medical) is a novel radiation therapy (RT) device capable of delivering real-time positron emission tomography (PET) scan-guided or biology-guided RT (BgRT). The purpose of this pilot study was to evaluate the performance of its PET imaging subsystem to detect 2-(3-{1-carboxy-5-[(6-[(18)F]fluoro-pyridine-3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic acid ( Methods and Materials: Patients underwent a standard diagnostic Results: In 20 patients, at least 1 PSMA PET-scan-avid tumor was identified for BgRT planning (5 lymph node metastases, 7 bone metastases, 7 prostate glands, and 1 prostate bed). In 18 patients, the PET-scan-avid tumor was visualized on the RefleXion X1 PET scan, whereas in 2 patients, the tumor was too close to the PET scan activity in the bladder to be clearly visualized. BgRT planning was feasible and met stereotactic body RT organ dose constraints in 8 (40%) patients (3 prostate glands, 3 bones, and 2 lymph nodes). BgRT was not feasible in 12 (60%) patients because of low target activity concentration (<5 kBq/mL), low normalized target signal intensity (<2.7), or proximity of the PET-scan-avid tumor to the bladder. Conclusions: This is the first study to demonstrate the feasibility of using

Identifiers

PMID41211608
PMCPMC12593606

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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.