Evidence map›Paper›PMID 38047213›Full record

ArticleAdvances in radiation oncology

Clinical Factors That Affect Fiducial Tracking in Robotic SABR for Lung Tumors.

Duy Huynh, Akash Patlolla, Ethan Patel, Kunj Patel, Wesley Belcher, Sunil Sharma, Mark Bowling, Hyder Arastu, Andrew Ju

Abstract read
In one paragraph

Article in Advances in radiation oncology. 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

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

9 authors.

Duy HuynhDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Akash PatlollaDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Ethan PatelDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Kunj PatelDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Wesley BelcherDepartment of Physics, East Carolina University, Greenville, North Carolina.
Sunil SharmaDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Mark BowlingDepartment of Internal Medicine, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Hyder ArastuDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.
Andrew JuDepartment of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: SABR is a treatment option for patients with lung tumors that employs fiducials to track tumors during the breathing cycle. Currently, there is a paucity of data on how relative fiducial location and patient clinical characteristics affect fiducial tracking and clinical outcomes. This study aimed to identify factors that reduce the number of fiducials tracked with respiratory motion management during SABR. Methods and Materials: An institutional review board-approved retrospective review was performed of patients receiving robotic SABR for lung tumors at our institution from 2016 to 2019. Clinical data including demographics, medical history, treatment data, and follow-up were collected. Fiducial geometries were obtained with Velocity contouring software and MATLAB. Mann-Whitney Results: A total of 73 patients with 77 treatments were identified. The χ Conclusions: Greater motion in lower lobes can contribute to certain tracking errors that prevent more fiducials from being tracked. Maintaining interfiducial distance between experimentally determined guidelines may limit spacing errors and RBEs, the 2 most common tracking errors. An increased number of patients in a data set may result in stronger correlations between patient and tumor factors and outcomes.

Identifiers

PMID38047213
PMCPMC10692279

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