Evidence map›Paper›PMID 37694264›Full record

ArticlePhysics and imaging in radiation oncology2023

Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization.

Lisa Alborghetti, Roberta Castriconi, Carlos Sosa Marrero, Alessia Tudda, Maria Giulia Ubeira-Gabellini, Sara Broggi, Javier Pascau, Lucia Cubero, Cesare Cozzarini, Renaud De Crevoisier and 3 more

Abstract read
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Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Lisa AlborghettiIRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy.
Roberta CastriconiIRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy.
Carlos Sosa MarreroCLCC Eugène Marquis, INSERM, LTSI-UMR1099, F-35000, Univ Rennes, Rennes, France.
Alessia TuddaIRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy.
Maria Giulia Ubeira-GabelliniIRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy.
Sara BroggiIRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy.
Javier PascauUniversidad Carlos III de Madrid, Bioengineering Department, Madrid, Spain.
Lucia CuberoUniversidad Carlos III de Madrid, Bioengineering Department, Madrid, Spain.
Cesare CozzariniIRCCS San Raffaele Scientific Institute, Radiotherapy, Milano, Italy.
Renaud De CrevoisierCLCC Eugène Marquis, INSERM, LTSI-UMR1099, F-35000, Univ Rennes, Rennes, France.
Tiziana RancatiFondazione IRCCS Istituto Nazionale dei Tumori (INT), Progetto Prostata, Milano, Italy.
Oscar AcostaCLCC Eugène Marquis, INSERM, LTSI-UMR1099, F-35000, Univ Rennes, Rennes, France.
Claudio FiorinoIRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: The association between dose to selected bladder and rectum symptom-related sub-regions (SRS) and late toxicity after prostate cancer radiotherapy has been evidenced by voxel-wise analyses. The aim of the current study was to explore the feasibility of combining knowledge-based (KB) and multi-criteria optimization (MCO) to spare SRSs without compromising planning target volume (PTV) dose delivery, including pelvic-node irradiation. Materials and Methods: Forty-five previously treated patients (74.2 Gy/28fr) were selected and SRSs (in the bladder, associated with late dysuria/hematuria/retention; in the rectum, associated with bleeding) were generated using deformable registration. A KB model was used to obtain clinically suitable plans (KB-plan). KB-plans were further optimized using MCO, aiming to reduce dose to the SRSs while safeguarding target dose coverage, homogeneity and avoiding worsening dose volume histograms of the whole bladder, rectum and other organs at risk. The resulting MCO-generated plans were examined to identify the best-compromise plan (KB + MCO-plan). Results: The mean SRS dose decreased in almost all patients for each SRS. D1% also decreased in the large majority, less frequently for dysuria/bleeding SRS. Mean differences were statistically significant (p < 0.05) and ranged between 1.3 and 2.2 Gy with maximum reduction of mean dose up to 3-5 Gy for the four SRSs. The better sparing of SRSs was obtained without compromising PTVs coverage. Conclusions: Selectively sparing SRSs without compromising PTV coverage is feasible and has the potential to reduce toxicities in prostate cancer radiotherapy. Further investigation to better quantify the expected risk reduction of late toxicities is warranted.

Indexed as

Automated planningDose-outcome correlationMulti-criteria optimizationProstate cancerRadiotherapy

Identifiers

PMID37694264
PMCPMC10482897

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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.