Literature DB >> 27647459

Adaptive radiotherapy for advanced lung cancer ensures target coverage and decreases lung dose.

Ditte Sloth Møller1, Marianne Ingerslev Holt2, Markus Alber3, Marie Tvilum2, Azza Ahmed Khalil2, Marianne Marquard Knap2, Lone Hoffmann4.   

Abstract

BACKGROUND AND
PURPOSE: Advanced lung cancer patients experience anatomical changes during radiotherapy. Uncorrected, these may lead to lower tumor dose, but can be corrected for by adaptive radiotherapy (ART).
MATERIAL AND METHODS: Anatomical changes in 233 patients were monitored online on cone-beam CT-scans used for daily soft-tissue matching. If systematic changes above the pre-defined trigger criteria were observed, a new CT-scan, delineations, and treatment plan were made, restoring the intended dose distribution. Dose distributions with and without adaptation were compared. The first fifty ART patients were given two surveillance CT-scans during radiotherapy. These were used to evaluate delivered dose for patients without adaptation. The first fifty-two patients treated with ART were also compared with 52 pre-ART patients to evaluate the reduction in normal tissue doses.
RESULTS: Sixty-three patients (27%) were adapted. Seventy-five per cent of all adaptations correctly adjusted for a decrease in tumor dose. Eighty-seven surveillance CT-scans were obtained for the first fifty patients and in only 2% of the cases, a decrease in tumor coverage (ΔV95%CTV>1%) was observed. With ART we observed a significant decrease in lung dose (MLD reduced from 14.6Gy to 12.6Gy on average).
CONCLUSIONS: Implementation of soft-tissue match combined with ART decreased the lung dose. The trigger criteria used correctly identified all but one (98%) of the patients requiring adaptation with a false positive rate of 20%.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive RT; IGRT; Interfractional shifts; NSCLC; SCLC

Mesh:

Year:  2016        PMID: 27647459     DOI: 10.1016/j.radonc.2016.08.019

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  19 in total

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3.  Lung and Heart Dose Variability During Radiation Therapy of Non-Small Cell Lung Cancer.

Authors:  Nuzhat Jan; Christopher Guy; Leonid B Reshko; Geoffrey D Hugo; Elisabeth Weiss
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-03-08       Impact factor: 7.038

4.  Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer.

Authors:  Julia M Pakela; Martha M Matuszak; Randall K Ten Haken; Daniel L McShan; Issam El Naqa
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5.  Deep inspiration breath hold in locally advanced lung cancer radiotherapy: validation of intrafractional geometric uncertainties in the INHALE trial.

Authors:  Mirjana Josipovic; Marianne C Aznar; Jakob B Thomsen; Jonas Scherman; Sidsel Ms Damkjaer; Lotte Nygård; Lena Specht; Mette Pøhl; Gitte F Persson
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6.  Image-guidance triggered adaptive replanning of radiation therapy for locally advanced lung cancer: an evaluation of cases requiring plan adaptation.

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7.  Improved adaptive radiotherapy to adjust for anatomical alterations during curative treatment for locally advanced lung cancer.

Authors:  Maria Moksnes Bjaanæs; Erlend Peter Skaug Sande; Øyvind Loe; Christina Ramberg; Tove Mette Næss; Andreas Ottestad; Lotte V Rogg; Jørund Graadal Svestad; Vilde Drageset Haakensen
Journal:  Phys Imaging Radiat Oncol       Date:  2021-05-08

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9.  A clinical 3D/4D CBCT-based treatment dose monitoring system.

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Review 10.  Image guidance in radiation therapy for better cure of cancer.

Authors:  Vincent Grégoire; Matthias Guckenberger; Karin Haustermans; Jan J W Lagendijk; Cynthia Ménard; Richard Pötter; Ben J Slotman; Kari Tanderup; Daniela Thorwarth; Marcel van Herk; Daniel Zips
Journal:  Mol Oncol       Date:  2020-06-29       Impact factor: 6.603

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