4.7 Article

Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical Innovation

Journal

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ijrobp.2020.12.015

Keywords

-

Funding

  1. DFG
  2. Elekta AB
  3. Philips
  4. NIH/NIDCR
  5. NIH/National Cancer Institute (NCI)
  6. NIH/National Institute of Biomedical Imaging and Bioengineering
  7. University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences

Ask authors/readers for more resources

This study is the first report of daily adaptive radiation therapy for head and neck cancer using a 1.5T MR-linac, focusing on safety, feasibility, and dosimetric results. The results demonstrate that daily ART using an online ATP workflow is safe, clinically feasible, and results in consistent delivered doses with planned doses for HNC patients.
Purpose: This prospective study is, to our knowledge, the first report of daily adaptive radiation therapy (ART) for head and neck cancer (HNC) using a 1.5T magnetic resonance imaging-linear accelerator (MR-linac) with particular focus on safety and feasibility and dosimetric results of an online rigid registration-based adapt to position (ATP) workflow. Methods and Materials: Ten patients with HNC received daily ART on a 1.5T/7MV MR-linac, 6 using ATP only and 4 using ATP with 1 offline adapt-to-shape replan. Setup variability with custom immobilization masks was assessed by calculating the mean systematic error (M), standard deviation of the systematic error (Sigma), and standard deviation of the random error (sigma) of the isocenter shifts. Quality assurance was performed with a cylindrical diode array using 3%/3 mm gamma criteria. Adaptive treatment plans were summed for each patient to compare the delivered dose with the planned dose from the reference plan. The impact of dosimetric variability between adaptive fractions on the summation plan doses was assessed by tracking the number of optimization constraint violations at each individual fraction. Results: The random errors (mm) for the x, y, and z isocenter shifts, respectively, were M = -0.3, 0.7, 0.1; Sigma = 3.3, 2.6, 1.4; and sigma = 1.7, 2.9, 1.0. The median (range) gamma pass rate was 99.9% (90.9%-100%). The differences between the reference and summation plan doses were -0.61% to 1.78% for the clinical target volume and -11.74% to 8.11% for organs at risk (OARs), although an increase greater than 2% in OAR dose only occurred in 3 cases, each for a single OAR. All cases had at least 2 fractions with 1 or more constraint violations. However, in nearly all instances, constraints were still met in the summation plan despite multiple single-fraction violations. Conclusions: Daily ART on a 1.5T MR-linac using an online ATP workflow is safe and clinically feasible for HNC and results in delivered doses consistent with planned doses. (C) 2020 The Authors. Published by Elsevier Inc.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Oncology

Head and neck cancer predictive risk estimator to determine control and therapeutic outcomes of radiotherapy (HNC-PREDICTOR): development, international multi-institutional validation, and web implementation of clinic-ready model-based risk stratification for head and neck cancer

Lisanne V. van Dijk, Abdallah S. R. Mohamed, Sara Ahmed, Nafiul Nipu, G. Elisabeta Marai, Kareem Wahid, Nanna M. Sijtsema, Brandon Gunn, Adam S. Garden, Amy Moreno, Andrew J. Hope, Johannes A. Langendijk, Clifton D. Fuller

Summary: By utilizing "big-data," a personalized radiotherapy prediction model was developed to accurately stratify patients with head and neck cancer into high, intermediate, and low mortality risk groups, providing guidance for personalized radiotherapy.

EUROPEAN JOURNAL OF CANCER (2023)

Article Oncology

Cancer care in German centers of excellence during the first 2 years of the COVID-19 pandemic

Volker Arndt, Daniela Doege, Stefan Froehling, Peter Albers, Hana Alguel, Ralf Bargou, Carsten Bokemeyer, Martin Bornhaeuser, Christian H. Brandts, Peter Brossart, Sara Yvonne Brucker, Tim H. Bruemmendorf, Hartmut Doehner, Norbert Gattermann, Michael Hallek, Volker Heinemann, Ulrich Keilholz, Thomas Kindler, Cornelia von Levetzow, Florian Lordick, Ulf Peter Neumann, Christoph Peters, Dirk Schadendorf, Stephan Stilgenbauer, Thomas Zander, Daniel Zips, Delia Braun, Thomas Seufferlein, Gerd Nettekoven, Michael Baumann

Summary: The capacities of German Comprehensive Cancer Centers (CCCs) in various aspects of oncology care were significantly affected during the first 2 years of the COVID-19 pandemic. Follow-up, psycho-oncologic care, and tumor surgery were particularly impacted, along with other areas of multidisciplinary oncological care. This study highlights the importance of developing strategies to prevent similar limitations in the future.

JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY (2023)

Article Oncology

Optimized decision support for selection of transoral robotic surgery or (chemo)radiation therapy based on posttreatment swallowing toxicity

Mehdi Hemmati, Carly Barbon, Abdallah S. R. Mohamed, Lisanne van Dijk, Amy C. Moreno, Neil D. Gross, Ryan P. Goepfert, Stephen Y. Lai, Katherine A. Hutcheson, Andrew J. Schaefer, Clifton D. Fuller

Summary: The aim of this study was to analyze the outcomes of transoral robotic surgery (TORS) for oropharyngeal squamous cell cancer (OPSCC) patients. The results showed that TORS had inferior swallowing function compared to radiation therapy (RT), but remained the optimal therapy as compared to chemoradiation therapy (CRT) in certain cases. The study suggests that TORS with adjuvant therapy may result in more severe swallowing toxicity for OPSCC patients.

CANCER MEDICINE (2023)

Article Oncology

Impact of endorectal filling on interobserver variability of MRI based rectal primary tumor delineation

Monica Lo Russo, Marcel Nachbar, Aisling Barry, Shree Bhide, Amy Chang, William Hall, Martijn Intven, Corrie Marijnen, Femke Peters, Bruce Minsky, Paul B. Romesser, Reith Sarkar, Alex Tan, Simon Boeke, Daniel Wegener, Sarah Butzer, Jessica Boldt, Sergios Gatidis, Konstantin Nikolaou, Daniela Thorwarth, Daniel Zips, Cihan Gani

Summary: This study investigated the impact of rectal ultrasound gel filling on interobserver variability in the delineation of primary rectal tumor volumes. The study found that rectal ultrasound gel filling can improve interobserver agreement and may be a useful tool for future dose escalation strategies.

CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY (2023)

Article Health Care Sciences & Services

Factors Associated With Open Access Publishing Costs in Oncology Journals: Cross-sectional Observational Study

Alex Koong, Ulysses Grant Gardner, Jason Burton, Caleb Stewart, Petria Thompson, Clifton David Fuller, Ethan Bernard Ludmir, Michael Kevin Rooney

Summary: In this observational cohort study, the authors aimed to characterize the landscape of open access (OA) publishing in oncology and identify characteristics of oncology journals predictive of article processing charges (APCs). The results showed that oncology journals with more citable articles, a hybrid OA model, higher impact factors, and based in North America or Europe tend to have higher APCs.

JMIR FORMATIVE RESEARCH (2023)

Article Oncology

Photon and Proton irradiation in Patient-derived, Three-Dimensional Soft Tissue Sarcoma Models

Siyer Roohani, Juergen Loskutov, Jens Heufelder, Felix Ehret, Lena Wedeken, Manuela Regenbrecht, Rica Sauer, Daniel Zips, Andrea Denker, Antonia M. Joussen, Christian R. A. Regenbrecht, David Kaul

Summary: A pilot study was conducted using patient-derived 3D cell cultures to investigate the effects of photon and proton radiation on different subtypes of localized high-grade soft tissue sarcoma (STS). The study found pronounced differences in radiosensitivity among different subtypes of STS, and showed that photon and proton radiation had similar dose-dependent cell-killing effectiveness in the 3D cell cultures.

BMC CANCER (2023)

Article Oncology

Regional hyperthermia with cisplatin added to gemcitabine versus gemcitabine in patients with resected pancreatic ductal adenocarcinoma: The HEAT randomised clinical trial

Rolf D. Issels, Stefan Boeck, Uwe Pelzer, Ulrich Mansmann, Pirus Ghadjar, Lars H. Lindner, Markus Albertsmeier, Martin K. Angele, Michael Schmidt, Yujun Xu, Marcus Bahra, Johann Pratschke, Michael Schoenberg, Wolfgang E. Thasler, Christoph Salat, Oliver J. Stoetzer, Wolfram T. Knoefel, Dirk Graf, Rudiger Wessalowski, Verena Keitel-Anselmino, Alfred Koenigsrainer, Michael Bitzer, Daniel Zips, Michael Bamberg, Rainer Fietkau, Oliver Ott, Maciej Kawecki, Lucian Wyrwicz, Piotr Rutkowski, Markus Rentsch, Juliana Ababei, Peter Reichardt, Marco Rigamonti, Bernhard Weber, Sultan Abdel-Rahman, Katharina Tschoep-Lechner, Karl-Walter Jauch, Christiane J. Bruns, Helmut Oettle, Michael von Bergwelt-Baildon, Volker Heinemann, Jens Werner

Summary: In this randomized controlled trial, the addition of cisplatin to gemcitabine with regional hyperthermia did not significantly improve disease-free survival in resected pancreatic ductal adenocarcinoma, but it showed a difference in post-recurrence survival and a trend for improved overall survival.

EUROPEAN JOURNAL OF CANCER (2023)

Article Otorhinolaryngology

Long-term outcomes of modern multidisciplinary management of sinonasal cancers: The M. D. Anderson experience

Houda Bahig, Hanna Y. Y. Ehab, Adam S. S. Garden, Sweet Ping Ng, Steven J. J. Frank, Theresa Nguyen, Gary B. B. Gunn, David I. I. Rosenthal, Clifton D. D. Fuller, Renata Ferrarotto, Diana Bell, Shirley Su, Jack Phan

Summary: This study retrospectively analyzed the long-term outcomes of patients with sinonasal tumors treated with modern radiotherapy. The results showed favorable disease control rate and acceptable toxicity profile in patients treated with modern radiotherapy.

HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK (2023)

Article Oncology

Pulmonary magnetic resonance-guided online adaptive radiotherapy of locally advanced: the PUMA trial

Sebastian Regnery, Chiara de Colle, Chukwuka Eze, Stefanie Corradini, Christian Thieke, Oliver Sedlaczek, Heinz-Peter Schlemmer, Julien Dinkel, Ferdinand Seith, Annette Kopp-Schneider, Clarissa Gillmann, C. Katharina Renkamp, Guillaume Landry, Daniela Thorwarth, Daniel Zips, Claus Belka, Oliver Jaekel, Juergen Debus, Juliane Hoerner-Rieber

Summary: This study aims to explore the clinical feasibility of MR-guided online adaptive radiotherapy for locally-advanced non-small-cell lung cancer (LA-NSCLC). The study will be conducted at three German university hospitals, with 30 patients receiving MR-guided online adaptive radiotherapy along with chemotherapy. The primary endpoints are successful completion of online adapted fractions and on-table time.

RADIATION ONCOLOGY (2023)

Article Oncology

Adaptive radiotherapy for breast cancer

C. De-Colle, A. Kirby, N. Russell, S. F. Shaitelman, A. Currey, E. Donovan, E. Hahn, K. Hang, C. N. Anandadas, F. Mahmood, E. L. Lorenzen, D. van den Bongard, M. L. Groot Koerkamp, A. C. Houweling, M. Nachbar, D. Thorwarth, D. Zips

Summary: Research in the field of local and locoregional breast cancer radiotherapy aims to optimize treatment outcomes and minimize treatment-related toxicities. Adaptive radiotherapy (ART) takes into account anatomical variations in the target area and organs at risk (OARs) during treatment, resulting in re-optimized treatment plans. This review examines the use of MR-guided and CT-guided ART in different clinical scenarios for breast cancer patients and discusses their advantages and challenges.

CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY (2023)

Article Computer Science, Software Engineering

DASS Good: Explainable Data Mining of Spatial Cohort Data

A. Wentzel, C. Floricel, G. Canahuate, M. A. Naser, A. S. Mohamed, C. D. Fuller, L. van Dijk, G. E. Marai

Summary: In this study, we developed a modeling system called DASS to support the development and validation of predictive models for estimating long-term toxicities related to radiotherapy doses in head and neck cancer patients. DASS incorporates human-in-the-loop visual steering, spatial data, and explainable AI to augment domain knowledge with automatic data mining. We demonstrated DASS by developing two practical clinical stratification models and received feedback from domain experts.

COMPUTER GRAPHICS FORUM (2023)

Article Otorhinolaryngology

Prevalence of pituitary hormone dysfunction following radiotherapy for sinonasal and nasopharyngeal malignancies

Kevin J. Contrera, Jack Phan, Steven G. Waguespack, Mohammed Aldehaim, Xin Wang, Tze Yee Lim, Dianna B. Roberts, C. David Fuller, Michael T. Spiotto, Shaan M. Raza, Franco DeMonte, Ehab Y. Hanna, Shirley Y. Su

Summary: This study investigated the prevalence of pituitary dysfunction in adults who underwent anterior skull base radiation. The results showed that 46% of patients had abnormal pituitary hormone levels, with 12% requiring treatment for symptomatic abnormalities. The most common abnormalities were hyperprolactinemia, central hypothyroidism, and central hypogonadism. The study also found a dose-dependent association between hormonal dysfunction and radiation.

HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK (2023)

Article Oncology

Longitudinal monitoring of Apparent Diffusion Coefficient (ADC) in patients with prostate cancer undergoing MR-guided radiotherapy on an MR-Linac at 1.5 T: a prospective feasibility study

Haidara Almansour, Fritz Schick, Marcel Nachbar, Saif Afat, Victor Fritz, Daniela Thorwarth, Daniel Zips, Felix Bertram, Arndt-Christian Mueller, Konstantin Nikolaou, Ahmed E. Othman, Daniel Wegener

Summary: This study investigated the dynamics of lesion ADC in patients with prostate cancer undergoing MR-guided radiation therapy on a 1.5T MR-Linac. The results showed a significant increase in lesion ADC during radiotherapy, suggesting that lesion ADC can be used as a biomarker for evaluating treatment response. However, the absolute ADC values calculated by the algorithm of the MR-Linac manufacturer showed systematic deviations from values obtained on a diagnostic 3T MRI system.

RADIOLOGY AND ONCOLOGY (2023)

Article Oncology

Clinical outcome of biomarker-guided therapies in adult patients with tumors of the nervous system

Mirjam Renovanz, Sylvia C. Kurz, Johannes Rieger, Bianca Walter, Hannes Becker, Hanni Hille, Paula Bombach, David Rieger, Lucia Grosse, Lara Haeusser, Marco Skardelly, Daniel J. Merk, Frank Paulsen, Elgin Hoffmann, Cihan Gani, Manuela Neumann, Rudi Beschorner, Olaf Riess, Cristiana Roggia, Christopher Schroeder, Stephan Ossowski, Sorin Armeanu-Ebinger, Axel Gschwind, Saskia Biskup, Martin Schulze, Falko Fend, Stephan Singer, Lars Zender, Claudia Lengerke, Sara Yvonne Brucker, Tobias Engler, Andrea Forschner, Arnulf Stenzl, Oliver Kohlbacher, Sven Nahnsen, Gisela Gabernet, Sven Fillinger, Benjamin Bender, Ulrike Ernemann, Oeznur Oener, Janina Beha, Holly Sundberg Malek, Yvonne Moeller, Kristina Ruhm, Marcos Tatagiba, Jens Schittenhelm, Michael Bitzer, Nisar Malek, Daniel Zips, Ghazaleh Tabatabai

Summary: This study investigates the feasibility and clinical utility of molecular profiling and targeted therapy in patients with advanced tumors in the nervous system. The results show that 93.1% of patients can receive biomarker-guided therapy recommendations, with treatment initiated in 22.6% of cases and a progression-free survival ratio >1.3 observed in 31.3% of patients. These findings support the clinical efficacy of biomarker-guided therapies in neuro-oncology patients and have implications for future clinical trials and care.

NEURO-ONCOLOGY ADVANCES (2023)

Article Computer Science, Interdisciplinary Applications

Combination Chemotherapy Optimization with Discrete Dosing

Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J. Schaefer, Clifton D. Fuller

Summary: This paper presents a mixed-integer program for optimizing combination chemotherapy. The model incorporates various important operational constraints and controls treatment toxicity and white blood cell count for dose adjustments. Chance constraints are proposed to address the uncertainty of tumor heterogeneity and ensure reaching an operable tumor size with a high probability in a neoadjuvant setting.

INFORMS JOURNAL ON COMPUTING (2023)

No Data Available