Cargando…

A geometry and dose-volume based performance monitoring of artificial intelligence models in radiotherapy treatment planning for prostate cancer

BACKGROUND AND PURPOSE: Clinical Artificial Intelligence (AI) implementations lack ground-truth when applied on real-world data. This study investigated how combined geometrical and dose-volume metrics can be used as performance monitoring tools to detect clinically relevant candidates for model ret...

Descripción completa

Detalles Bibliográficos
Autores principales:	De Kerf, Geert, Claessens, Michaël, Raouassi, Fadoua, Mercier, Carole, Stas, Daan, Ost, Piet, Dirix, Piet, Verellen, Dirk
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Original Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550805/ https://www.ncbi.nlm.nih.gov/pubmed/37809056 http://dx.doi.org/10.1016/j.phro.2023.100494

Ejemplares similares

A phase III randomized-controlled, single-blind trial to improve quality of life with stereotactic body radiotherapy for patients with painful bone metastases (ROBOMET)
por: Mercier, Carole, et al.
Publicado: (2019)

Precision of image-guided spinal stereotactic ablative radiotherapy and impact of positioning variables
por: Billiet, Charlotte, et al.
Publicado: (2022)

Outcome and toxicity of hypofractionated image-guided SABR for spinal oligometastases
por: Billiet, Charlotte, et al.
Publicado: (2020)

Survival Outcomes and Pattern of Relapse After SABR for Oligometastatic Prostate Cancer
por: Mercier, Carole, et al.
Publicado: (2022)

A phase I dose-escalation trial of stereotactic ablative body radiotherapy for non-spine bone and lymph node metastases (DESTROY-trial)
por: Mercier, Carole, et al.
Publicado: (2018)

Machine learning-based treatment couch parameter prediction in support of surface guided radiation therapy
por: De Kerf, Geert, et al.
Publicado: (2022)

Evaluation of the optimal combinations of modulation factor and pitch for Helical TomoTherapy plans made with TomoEdge using Pareto optimal fronts
por: De Kerf, Geert, et al.
Publicado: (2015)

Fast Helical Tomotherapy in a head and neck cancer planning study: is time priceless?
por: Van Gestel, Dirk, et al.
Publicado: (2015)

In vivo dosimetry for patients with prostate cancer to assess possible impact of bladder and rectum preparation
por: Fiagan, Yawo A.C., et al.
Publicado: (2020)

Accuracy and reliability of a commercial treatment planning system in nontarget regions in modern prostate radiotherapy
por: Danckaert, Willeke, et al.
Publicado: (2023)

Adjuvant radiotherapy after radical cystectomy for patients with muscle invasive bladder cancer: a phase II trial
por: Fonteyne, Valérie, et al.
Publicado: (2017)

The use of simulation-CT’s as a coronavirus disease 2019 screening tool during the severe acute respiratory syndrome coronavirus 2 pandemic()
por: Nevens, Daan, et al.
Publicado: (2020)

Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future
por: Wang, Chunhao, et al.
Publicado: (2019)

Clinical Results after High-Dose Intensity-Modulated Radiotherapy for High-Risk Prostate Cancer
por: Fonteyne, Valérie, et al.
Publicado: (2012)

Checkpoint inhibition in combination with an immunoboost of external beam radiotherapy in solid tumors (CHEERS): study protocol for a phase 2, open-label, randomized controlled trial
por: Spaas, Mathieu, et al.
Publicado: (2021)

Assessing the impact of adaptations to the clinical workflow in radiotherapy using transit in vivo dosimetry
por: Bossuyt, Evy, et al.
Publicado: (2023)

Evaluation of automated pre-treatment and transit in-vivo dosimetry in radiotherapy using empirically determined parameters
por: Bossuyt, Evy, et al.
Publicado: (2020)

Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer
por: van de Sande, Dennis, et al.
Publicado: (2021)

Evaluating the impact of 18F-FDG-PET-CT on risk stratification and treatment adaptation for patients with muscle-invasive bladder cancer (EFFORT-MIBC): a phase II prospective trial
por: Verghote, Flor, et al.
Publicado: (2021)

Artificial Intelligence-Based Automated Treatment Planning of Postmastectomy Volumetric Modulated Arc Radiotherapy
por: Jiang, Shengpeng, et al.
Publicado: (2022)

The potential of radiotherapy to enhance the efficacy of renal cell carcinoma therapy
por: De Wolf, Katrien, et al.
Publicado: (2015)

Artificial Intelligence for Colonoscopy: Past, Present, and Future
por: Tavanapong, Wallapak, et al.
Publicado: (2022)

Conference on Artificial Intelligence Applications
por: Zarka, J, et al.
Publicado: (1996)

Prospective study of artificial intelligence-based decision support to improve head and neck radiotherapy plan quality
por: Sher, David J., et al.
Publicado: (2021)

Stereotactic Body Radiotherapy for Primary Prostate Cancer
por: Kothari, Gargi, et al.
Publicado: (2018)

The role of artificial intelligence in radiotherapy clinical practice
por: Landry, Guillaume, et al.
Publicado: (2023)

Benefits of Elective Para-Aortic Radiotherapy for pN1 Prostate Cancer Using Arc Therapy (Intensity-Modulated or Volumetric Modulated Arc Therapy): Protocol for a Nonrandomized Phase II Trial
por: Draulans, Cédric, et al.
Publicado: (2018)

Metastasis-directed therapy: a new standard for oligorecurrent prostate cancer?
por: Zilli, Thomas, et al.
Publicado: (2018)

Real-world validation of Artificial Intelligence-based Computed Tomography auto-contouring for prostate cancer radiotherapy planning
por: Palazzo, Gabriele, et al.
Publicado: (2023)

Artificial intelligence to predict outcomes of head and neck radiotherapy
por: Bang, Chulmin, et al.
Publicado: (2023)

The Role of Androgen Receptor Expression in the Curative Treatment of Prostate Cancer with Radiotherapy: A Pilot Study
por: Poelaert, Filip, et al.
Publicado: (2015)

Leveraging artificial intelligence to improve people’s planning strategies
por: Callaway, Frederick, et al.
Publicado: (2022)

Challenges of diet planning for children using artificial intelligence
por: Lee, Changhun, et al.
Publicado: (2022)

Comparison of the Prostate Imaging Reporting and Data System (PI-RADS) Version 1 and 2 in a Cohort of 245 Patients with Histopathological Reference and Long-Term Follow-Up
por: De Visschere, Pieter, et al.
Publicado: (2016)

Intensity modulated radiotherapy induces pro-inflammatory and pro-survival responses in prostate cancer patients
por: EL-SAGHIRE, HOUSSEIN, et al.
Publicado: (2014)

A method for generating large datasets of organ geometries for radiotherapy treatment planning studies
por: Hu, Nan, et al.
Publicado: (2014)

Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
por: Arabi, Hossein, et al.
Publicado: (2020)

Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy
por: Krishnamurthy, Revathy, et al.
Publicado: (2022)

Artificial Intelligence Radiotherapy Planning: Automatic Segmentation of Human Organs in CT Images Based on a Modified Convolutional Neural Network
por: Shen, Guosheng, et al.
Publicado: (2022)

Artificial intelligence can overcome challenges in brachytherapy treatment planning
por: Jia, Xun, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_72jhbgg4vg7m3n2jmkgbqojpec