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Record W3174949956 · doi:10.14338/2331-5180-8.1.1

An Introduction to the International Journal of Particle Therapy's Special Issue on Particle Therapy for Head and Neck Malignancies

2021· article· en· W3174949956 on OpenAlexaboutno aff
Steven J. Frank

Bibliographic record

VenueInternational Journal of Particle Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicRadiation Therapy and Dosimetry
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHead and neck cancerIntensive care medicineParticle therapyProton therapyMedical physicsQuality of life (healthcare)Radiation therapySystemic therapyCancerSurgeryBreast cancerNursingInternal medicine

Abstract

fetched live from OpenAlex

Particle therapy has emerged as a standard-of-care treatment option in the management of head and neck malignancies owing to its unique physical and biologic properties that lead to improved clinical outcomes. Likewise, the value of particle therapy in the management of head and neck tumors has rapidly evolved over the past decade, and head and neck cancer management currently represents one of the most common indications for the use of proton therapy.It is therefore my privilege to introduce this special IJPT Particle Therapy for Head and Neck Malignancies issue, which offers 33 articles by renowned international authors knowledgeable in head and neck cancer management, making it, to date, the most definitive guide to this new standard of care. The research presented herein expands our knowledge of the biologic enhancement effect of proton therapy, the physical properties that require unique and complex treatment planning approaches, and the resulting improvement in long-term clinical outcomes. Further clarity has been provided on the use of advanced Monte Carlo and LET-based treatment planning and quality assurance methods for emerging treatment centers, thereby minimizing the risk of unnecessary side effects and complications. Additional opportunities are offered for personalization of particle therapy through combining its biologic enhancement effects with concurrent systemic therapy. From pediatrics to adults, the issue seeks to advance health policy and improve patient access with model-based selection, activity-based costing, cost-effectiveness, financial toxicity, and work productivity outcomes.I would like to dedicate this special issue to our head and neck cancer patients worldwide who have participated in the clinical trials and research protocols that have resulted in these publications, thereby advancing our knowledge and standard of care for future patients. I would also like to dedicate this special issue to my parents and family, who have provided constant support to see this project to completion.We are most grateful for the efforts of our outstanding guest editors in this endeavor: Paul M. Busse, MD, PhD, from Massachusetts General Hospital; Lei Dong, PhD, from the Hospital of the University of Pennsylvania; Robert L. Foote, MD, from Mayo Clinic – Rochester; Piero Fossati, MD, MS, from MedAustron; Hans Langendijk, MD, PhD, from University Medical Centre Groningen; Nancy Y. Lee, MD, from Memorial Sloan Kettering Cancer Center; Jiade Lu, MD, MBA, from Shanghai Proton/Heavy Ion Center; Hsiao-Ming Lu, PhD, from the Hefei Ion Medical Center; Jun-Etsu Mizoe, MD, PhD, from Osaka Heavy Ion Therapy Center; Naruhiro Matsufuji, PhD, from the National Institutes for Quantum and Radiological Science and Technology National Institute of Radiological Sciences, Japan; Samir H. Patel, MD, of the Mayo Clinic – Phoenix; Juliette Thariat, MD, PhD, from Centre Baclesse / ARCHADE – Normandie Université; and Samir Patel, MD, of the Cross Cancer Institute and Stollery Children's Hospital, University of Alberta.I also wish to thank IJPT Editor-in-Chief Dr. Nancy Mendenhall and Operating Editor Dr. Bill Mendenhall for their support of this important issue; Managing Editor Jessica Kirwan and Journal Manager Liza Winthrop Grammel, who worked tirelessly to see it to completion; Christine Wogan, for her substantive editing expertise; and Sasha F. Watt for her photography of the cover of the special edition.Finally, I would like to personally thank my gracious patient, Mr. Ronald L. Roberts, who kindly provided consent to use his image and name, and whose photograph and medical images are represented on the cover of this head and neck special issue. For tumors in this complex paranasal sinus area of the head and neck, proton therapy has become standard of care and is crucial to the pursuit of cure, cosmesis, and clear vision in this unique time of the COVID-19 pandemic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.056
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0560.025

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.349
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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