Evidence map›Paper›PMID 26460989›Full record

ArticleInternational journal of radiation oncology, biology, physics2015

Technology for Innovation in Radiation Oncology.

Indrin J Chetty, Mary K Martel, David A Jaffray, Stanley H Benedict, Stephen M Hahn, Ross Berbeco, James Deye, Robert Jeraj, Brian Kavanagh, Sunil Krishnan and 10 more

Registry-linked trialAbstract readConsensus Development Conference, NIH
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06214611 (Adaptive Radiotherapy in the Treatment of Patients With a Histologically Confirmed Malignant Tumor in the Head and Neck Region), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06214611 narecruitingnot on this mapstarted 2023, after this paper: background citation

Adaptive Radiotherapy in the Treatment of Patients With a Histologically Confirmed Malignant Tumor in the Head and Neck Region: Prospective Validation of ART in Patients With HNT (Prospektive Validierung Der ART Bei Patientinnen Und Patienen Mit Kopf-Hals Tumoren,)

TypeinterventionalSponsorUniversity Hospital, EssenRan2023 to 2027Enrolled50ConditionsHead and Neck Cancer, Adaptive Radiotherapy, Radiation, Optimized TreatmentArmsAdaptive Radiotherapy
3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. The RABBIT risk-based approach to clinical implementation of new technology: SRS as a case study.Technical innovations & patient support in radiation oncology · 2020
    Article
  16. Review
  17. Review
  18. Article
  19. Enhancing Career Paths for Tomorrow's Radiation Oncologists.International journal of radiation oncology, biology, physics · 2019
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Indrin J ChettyDepartment of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan.
Mary K MartelDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: mmartel@mdanderson.org.
David A JaffrayDepartments of Radiation Oncology and Medical Biophysics, Princess Margaret Hospital, Toronto, Ontario.
Stanley H BenedictDepartment of Radiation Oncology, University of California - Davis Cancer Center, Sacramento, California.
Stephen M HahnDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas.
Ross BerbecoDepartment of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts.
James DeyeRadiation Research Programs, National Cancer Institute, Bethesda, Maryland.
Robert JerajDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin.
Brian KavanaghDepartment of Radiation Oncology, University of Colorado, Aurora, Colorado.
Sunil KrishnanDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas.
Nancy LeeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Daniel A LowDepartment of Radiation Oncology, University of California - Los Angeles, Los Angeles, California.
David MankoffDepartment of Radiology, University of Washington Medical School, Seattle, Washington.
Lawrence B MarksDepartment of Radiation Oncology, University of North Carolina Hospitals, Chapel Hill, North Carolina.
Daniel OllendorfInstitute for Clinical and Economic Review, Boston, Massachusetts.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital, Proton Therapy Center, Boston, Massachusetts.
Brian RossDepartment of Radiology, University of Michigan Health Systems, Ann Arbor, Michigan.
Ramon Alfredo C SiochiDepartment of Radiation Oncology, West Virginia University, Morgantown, West Virginia.
Robert D TimmermanDepartment of Radiation Oncology, University of Texas Southwestern Medical School, Dallas, Texas.
John W WongDepartment of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland.

Funding

QUANTITATION OF HUMAN BRAIN TUMOR THERAPY RESPONSE BY MRP01CA085878 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L · 2001 to 2017
$31.9M
Imaging of Hematologic and Oncologic DisordersR35CA197701 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSS, BRIAN D. · 2016 to 2022
$5.9M
Quantitative DW-MRI for Early Breast Cancer Treatment Response AssessmentU01CA166104 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, GALBAN, CRAIG J · 2012 to 2019
$4.1M
NCI NIH HHS P01 CA085878NCI NIH HHS R35 CA197701NCI NIH HHS U01 CA166104
6 · The paper itself

Abstract

Radiation therapy is an effective, personalized cancer treatment that has benefited from technological advances associated with the growing ability to identify and target tumors with accuracy and precision. Given that these advances have played a central role in the success of radiation therapy as a major component of comprehensive cancer care, the American Society for Radiation Oncology (ASTRO), the American Association of Physicists in Medicine (AAPM), and the National Cancer Institute (NCI) sponsored a workshop entitled "Technology for Innovation in Radiation Oncology," which took place at the National Institutes of Health (NIH) in Bethesda, Maryland, on June 13 and 14, 2013. The purpose of this workshop was to discuss emerging technology for the field and to recognize areas for greater research investment. Expert clinicians and scientists discussed innovative technology in radiation oncology, in particular as to how these technologies are being developed and translated to clinical practice in the face of current and future challenges and opportunities. Technologies encompassed topics in functional imaging, treatment devices, nanotechnology, and information technology. The technical, quality, and safety performance of these technologies were also considered. A major theme of the workshop was the growing importance of innovation in the domain of process automation and oncology informatics. The technologically advanced nature of radiation therapy treatments predisposes radiation oncology research teams to take on informatics research initiatives. In addition, the discussion on technology development was balanced with a parallel conversation regarding the need for evidence of efficacy and effectiveness. The linkage between the need for evidence and the efforts in informatics research was clearly identified as synergistic.

Indexed as

HumansIonsNeoplasmsPositron-Emission TomographyProton TherapyRadiation OncologyRadiosurgeryRadiotherapyRadiotherapy, Computer-AssistedIons

Identifiers

PMID26460989
PMCPMC4610140

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.