Evidence map›Paper›PMID 33458339›Full record

ArticlePhysics and imaging in radiation oncology2020

Residual intra-fraction error in robotic spinal stereotactic body radiotherapy without immobilization devices.

Eleonora Rossi, Claudio Fiorino, Andrei Fodor, Chiara Deantoni, Paola Mangili, Nadia Gisella Di Muzio, Antonella Del Vecchio, Sara Broggi

Abstract read
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Article in Physics and imaging in radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Eleonora RossiMedical Physics, San Raffaele Scientific Institute, Milano, Italy.
Claudio FiorinoMedical Physics, San Raffaele Scientific Institute, Milano, Italy.
Andrei FodorRadiotherapy, San Raffaele Scientific Institute, Milano, Italy.
Chiara DeantoniRadiotherapy, San Raffaele Scientific Institute, Milano, Italy.
Paola MangiliMedical Physics, San Raffaele Scientific Institute, Milano, Italy.
Nadia Gisella Di MuzioRadiotherapy, San Raffaele Scientific Institute, Milano, Italy.
Antonella Del VecchioMedical Physics, San Raffaele Scientific Institute, Milano, Italy.
Sara BroggiMedical Physics, San Raffaele Scientific Institute, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSpinal stereotactic body radiotherapy (SBRT) involves large dose gradients and high geometrical accuracy is therefore required. The aim of this work was to assess residual intra-fraction error with a tracking robotic system for non-immobilized patients. Shifts from the first alignment (i.e. mimicking the unavailability of tracking) were also quantified. MATERIALS AND

methodsForty-two patients treated for spinal metastasis (128 fractions, 4220 images) were analyzed. Residual error was quantified as the difference between translations/rotations referring to consecutive x-ray images during delivery (tracking) and to the initial set-up (no-tracking). The error distribution for each fraction/patient and the entire population was assessed for each axis/rotation angle. The impact of lesion sites, fractionation and patient's pain (VAS score) were investigated. Finally, the dosimetric impact of residual motion was quantified in the four most affected fractions.

resultsMean overall errors (OE) were near 0 (SD < 0.1 mm). Residual translations/rotations >1 mm/1° were found in less than 1.5%/1% of measurements. Lesion site and fractionation showed no impact. The dosimetric impact in the most affected fractions was negligible. For "no-tracking", mean OE was <1 mm/0.5°; less than 2% of displacements were >2 mm/1° within 10 min from the start of treatment with an increasing probability of shifts >2 mm over time. A significantly higher fraction of OE ≥ 2 mm was found for patients with pain in case of no-tracking.

conclusionsSpine tracking with a latest-generation robotic system is highly efficient for non-immobilized patients: residual error is time independent and close to 0. For delivery times >7-8 min, tracking should be considered as mandatory for non-immobilized patients.

Indexed as

CyberknifeResidual errorSpine SBRT

Identifiers

PMID33458339
PMCPMC7807594

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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.