Evidence map›Paper›PMID 40585733›Full record

ArticleCureus2025

A Comparison of Tumor Tracking Accuracy Using Real-Time Adaptive Motion Management on Helical Versus Robotic Radiotherapy Platforms: An Interdisciplinary Study.

Shishir Kumar, Dhiren K Panda, Parveen Sharma

Abstract read
In one paragraph

Article in Cureus, 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

3 authors.

Shishir KumarAnatomy, Institute of Medical Sciences (IMS) and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneswar, IND.
Dhiren K PandaAnatomy, Institute of Medical Sciences (IMS) and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneswar, IND.
Parveen SharmaDentistry, Tantia University, Sri Ganganagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Real-time adaptive motion management (RTAMM) systems have enhanced the accuracy of tumor tracking during radiotherapy. This study aimed to investigate the tumor tracking accuracy of helical tomotherapy and robotic CyberKnife systems. The study objective was to assess the tumor tracking accuracy of RTAMM in helical and robotic radiotherapy systems and determine their clinical relevance in treating tumors with complicated motion. Methodology This retrospective study analyzed the clinical and imaging data of 60 patients with lung or liver tumors treated with TomoTherapy or CyberKnife between March 2024 and January 2025. Tumor positional deviations were tracked and recorded in real time using onboard imaging. Mean deviations and standard deviations were calculated, and independent t-tests were used to compare tracking accuracy. Results CyberKnife demonstrated superior tumor tracking accuracy, with a mean deviation of 0.8 mm (±0.2 mm) versus 2.3 mm (±0.4 mm). CyberKnife outperformed tomotherapy in tumors exhibiting high motion, with a statistically significant difference (p < 0.01). Conclusions Robotic CyberKnife systems provide more accurate tumor tracking than helical tomotherapy systems, particularly for tumors with complex motions, validating their use in precision radiation therapy.

Indexed as

cyberknifehelical radiotherapyprecision oncologyradiotherapyreal-time adaptive motion managementrobotic radiotherapytomotherapytumor motiontumor tracking

Identifiers

PMID40585733
PMCPMC12203753

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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.