Evidence map›Paper›PMID 37904150›Full record

ArticleRadiation oncology (London, England)2023

Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer.

Livia Marrazzo, Laura Redapi, Roberto Pellegrini, Peter Voet, Icro Meattini, Chiara Arilli, Silvia Calusi, Marta Casati, Deborah Chilà, Antonella Compagnucci and 4 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 4 institutions in 2 countries.

Livia MarrazzoDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy. livia.marrazzo@unifi.it.ORCID http://orcid.org/0000-0001-9622-9413
Laura RedapiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Roberto PellegriniMedical Affairs & Research Clinical Liaison, Elekta AB, Stockholm, Sweden.
Peter VoetMedical Affairs & Research Clinical Liaison, Elekta AB, Stockholm, Sweden.
Icro MeattiniDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Chiara ArilliMedical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Silvia CalusiMedical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Marta CasatiMedical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Deborah ChilàDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Antonella CompagnucciMedical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Cinzia TalamontiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Margherita ZaniMedical Physics Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Lorenzo LiviDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Stefania PallottaDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · ITElekta (Sweden) · SEAzienda Usl Toscana Centro · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate an a-priori multicriteria plan optimization algorithm (mCycle) for locally advanced breast cancer radiation therapy (RT) by comparing automatically generated VMAT (Volumetric Modulated Arc Therapy) plans (AP-VMAT) with manual clinical Helical Tomotherapy (HT) plans.

methodsThe study included 25 patients who received postoperative RT using HT. The patient cohort had diverse target selections, including both left and right breast/chest wall (CW) and III-IV node, with or without internal mammary node (IMN) and Simultaneous Integrated Boost (SIB). The Planning Target Volume (PTV) was obtained by applying a 5 mm isotropic expansion to the CTV (Clinical Target Volume), with a 5 mm clip from the skin. Comparisons of dosimetric parameters and delivery/planning times were conducted. Dosimetric verification of the AP-VMAT plans was performed.

resultsThe study showed statistically significant improvements in AP-VMAT plans compared to HT for OARs (Organs At Risk) mean dose, except for the heart and ipsilateral lung. No significant differences in V

conclusionsComparing AP-VMAT plans with clinical HT plans showed similar or improved quality. The implementation of mCycle demonstrated successful automation of the planning process for VMAT treatment of locally advanced breast cancer, significantly reducing workload.

Indexed as

Breast NeoplasmsRadiotherapy, Intensity-ModulatedFemaleHumansOrgans at RiskRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedAutomated planningLocally advanced Breast cancerMulticriterial optimizationRadiotherapyVMAT

Identifiers

PMID37904150
PMCPMC10617151
OpenAlexW4388018101

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.