Evidence map›Paper›PMID 35740422›Full record

ArticleBiomedicines2022

The Usefulness of Adaptative Radiotherapy in Prostate Cancer: How, When, and Who?

Rodrigo Muelas-Soria, Rafael García-Mollá, Virginia Morillo-Macías, Jorge Bonaque-Alandí, Patricia Sorribes-Carreras, Francisco García-Piñón, Carlos Ferrer-Albiach

Abstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Artificial intelligence to predict outcomes of head and neck radiotherapy.Clinical and translational radiation oncology · 2023
    Article
  5. 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

7 authors.

Rodrigo Muelas-SoriaDepartment of Radiation Oncology, Hospital Provincial de Castellón, Avda. Dr Clará 19, 12002 Castellón de la Plana, Spain.ORCID 0000-0003-1859-5869
Rafael García-MolláDepartment of Medical Physics and Radioprotection, Hospital General de Valencia, Av. de las Tres Cruces, 2, 46014 Valencia, Spain.
Virginia Morillo-MacíasDepartment of Radiation Oncology, Hospital Provincial de Castellón, Avda. Dr Clará 19, 12002 Castellón de la Plana, Spain.ORCID 0000-0003-3102-9001
Jorge Bonaque-AlandíDepartment of Medical Physics and Radioprotection, Hospital Provincial de Castellón, Avda. Dr Clará 19, 12002 Castellón de la Plana, Spain.
Patricia Sorribes-CarrerasDepartment of Dietetics and Nutrition, Hospital Provincial de Castellón, Avda. Dr Clará 19, 12002 Castellón de la Plana, Spain.
Francisco García-PiñónDepartment of Biostatistics, Fundación Hospital Provincial de Castellón, Avda. Dr Clará 19, 12002 Castellón de la Plana, Spain.
Carlos Ferrer-AlbiachDepartment of Radiation Oncology, Hospital Provincial de Castellón, Avda. Dr Clará 19, 12002 Castellón de la Plana, Spain.ORCID 0000-0001-9122-7646

Funding

Fundación Hospital Provincial de Castellón CAF-15-011Fundación Hospital Provincial de Castellón CAF-15-037
6 · The paper itself

Abstract

The aim of this study was to develop a deformable image registration (DIR)-based offline ART protocol capable of identifying significant dosimetric changes in the first treatment fractions to determine when adaptive replanning is needed. A total of 240 images (24 planning CT (pCT) and 216 kilovoltage cone-beam CT (CBCT)) were prospectively acquired from 24 patients with prostate adenocarcinoma during the first three weeks of their treatment (76 Gy in 38 fractions). This set of images was used to plan a hypofractionated virtual treatment (57.3 Gy in 15 fractions); correlation with the DIR of pCT and each CBCT allowed to translate planned doses to each CBCT, and finally mapped back to the pCT to compare with those actually administered. In 37.5% of patients, doses administered in 50% of the rectum (D50) would have exceeded the dose limitation to 50% of the rectum (R50). We first observed a significant variation of the planned rectal volume in the CBCTs of fractions 1, 3, and 5. Then, we found a significant relationship between the D50 accumulated in fractions 1, 3, and 5 and the lack of compliance with the R50. Finally, we found that a D50 variation rate [100 × (administered D50 − planned D50/planned D50)] > 1% in fraction three can reliably identify variations in administered doses that will lead to exceeding rectal dose constraint.

Indexed as

adaptive radiotherapydeformable image registrationprostate cancer

Identifiers

PMID35740422
PMCPMC9220081

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.