Evidence map›Paper›PMID 31211642›Full record

ArticleRadiation research2019

Adaptations to a Generalized Radiation Dose Reconstruction Methodology for Use in Epidemiologic Studies: An Update from the MD Anderson Late Effect Group.

Rebecca M Howell, Susan A Smith, Rita E Weathers, Stephen F Kry, Marilyn Stovall

Abstract read
In one paragraph

Article in Radiation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Cancer Treatment-Related Cardiotoxicity among Survivors of Childhood Cancer: A Comparative and Integrated View of Multiple Measures of Biological Age Acceleration.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Basal cell carcinoma risk prediction in survivors of childhood cancer.Journal of the National Cancer Institute · 2025
    Article
  15. Article
  16. Article
  17. Observational
  18. Melanoma Among Adult Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

5 authors.

Rebecca M HowellDepartment of Radiation Physics, The University of Texas at MD Anderson Cancer Center, Houston, Texas.
Susan A SmithDepartment of Radiation Physics, The University of Texas at MD Anderson Cancer Center, Houston, Texas.
Rita E WeathersDepartment of Radiation Physics, The University of Texas at MD Anderson Cancer Center, Houston, Texas.
Stephen F KryDepartment of Radiation Physics, The University of Texas at MD Anderson Cancer Center, Houston, Texas.
Marilyn StovallDepartment of Radiation Physics, The University of Texas at MD Anderson Cancer Center, Houston, Texas.

Funding

Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
NCI NIH HHS U24 CA055727
6 · The paper itself

Abstract

Epidemiologic studies that include patients who underwent radiation therapy for the treatment of cancer aim to quantify the relationship between radiotherapy and the risk of subsequent late effects. Because of the long follow-up period required to observe late effects, these studies are conducted retrospectively. The studies routinely include patients treated across numerous institutions using a wide range of technologies and represent treatments over several decades. As a result, determining the dose throughout the patient's body is uniquely challenging. Therefore, estimating doses throughout the patient's body for epidemiologic studies requires special methodologies that are generally applied to a wide range of radiotherapy techniques. Over ten years ago, the MD Anderson Late Effects Group described various dose reconstruction methods for therapeutic and diagnostic radiation exposure for epidemiologic studies. Here we provide an update to the most widely used dose reconstruction methodology for epidemiologic studies, analytical model calculations combined with a 3D age-specific computational phantom. In particular, we describe the various adaptations (and enhancements) of that methodology, as well as how they have been used in radiation epidemiology studies and may be used in future studies.

Indexed as

Epidemiologic StudiesRadiation DosageHumansOrgan SpecificityPhantoms, ImagingRadiation Exposure

Identifiers

PMID31211642
PMCPMC8041091

What OpenQuestion holds

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Registered trials

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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.