Evidence map›Paper›PMID 37590492›Full record

ArticleRadiation research2023

Trends in Radiation Dose to the Contralateral Breast During Breast Cancer Radiation Therapy.

Gordon P Watt, Susan A Smith, Rebecca M Howell, Angélica Pérez-Andújar, Ann S Reiner, Laura Cerviño, Beryl McCormick, Daniela Hess, Julia A Knight, Kathleen E Malone and 10 more

Open access · greenAbstract read
In one paragraph

Article in Radiation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

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  2. Review
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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 at 10 institutions in 3 countries.

Gordon P WattDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Susan A SmithDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Rebecca M HowellDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Angélica Pérez-AndújarDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ann S ReinerDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Laura CerviñoDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Beryl McCormickDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Daniela HessDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Julia A KnightLunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada.
Kathleen E MalonePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Esther M JohnDepartments of Epidemiology & Population Health and of Medicine, Stanford University School of Medicine, Stanford, California.
Leslie BernsteinBeckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, California.
Charles F LynchDepartment of Epidemiology, University of Iowa, Iowa City, Iowa.
Lene MellemkjærDanish Cancer Society Research Center, Copenhagen, Denmark.
Roy E ShoreDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Xiaolin LiangDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Meghan WoodsDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
John D BoiceNational Council on Radiation Protection and Measurements, Bethesda, Maryland.
Lawrence T DauerDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Jonine L BernsteinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USThe University of Texas MD Anderson Cancer Center · USCity of Hope · USDanish Cancer Society · DKFred Hutch Cancer Center · USNational Council on Radiation Protection and Measurements · USNew York University · USPublic Health Ontario · CAStanford University · USUniversity of Iowa · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Genome-Wide Association Study of Radiation Exposure and Bilateral Breast CancerR01CA129639 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BERNSTEIN, JONINE L. · 2009 to 2013
$15.6M
BREAST CANCER, RADIATION EXPOSURE, AND THE ATM GENEU01CA083178 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI BERNSTEIN, JONINE LISA · 1999 to 2003
$9.3M
Interaction of Radiation, BRCA1/2, and Breast CancerR01CA097397 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI BERNSTEIN, JONINE LISA · 2002 to 2006
$4.1M
Breast Cancer, Radiation and the ATM-CHEK2 PathwayR01CA114236 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI BERNSTEIN, JONINE L. · 2005 to 2008
$1.8M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA097397NCI NIH HHS R01 CA114236NCI NIH HHS R01 CA129639NCI NIH HHS U01 CA083178
6 · The paper itself

Abstract

Over 4 million survivors of breast cancer live in the United States, 35% of whom were treated before 2009. Approximately half of patients with breast cancer receive radiation therapy, which exposes the untreated contralateral breast to radiation and increases the risk of a subsequent contralateral breast cancer (CBC). Radiation oncology has strived to reduce unwanted radiation dose, but it is unknown whether a corresponding decline in actual dose received to the untreated contralateral breast has occurred. The purpose of this study was to evaluate trends in unwanted contralateral breast radiation dose to inform risk assessment of second primary cancer in the contralateral breast for long-term survivors of breast cancer. Individually estimated radiation absorbed doses to the four quadrants and areola central area of the contralateral breast were estimated for 2,132 women treated with radiation therapy for local/regional breast cancers at age <55 years diagnosed between 1985 and 2008. The two inner quadrant doses and two outer quadrant doses were averaged. Trends in dose to each of the three areas of the contralateral breast were evaluated in multivariable models. The population impact of reducing contralateral breast dose on the incidence of radiation-associated CBC was assessed by estimating population attributable risk fraction (PAR) in a multivariable model. The median dose to the inner quadrants of the contralateral breast was 1.70 Gy; to the areola, 1.20 Gy; and to the outer quadrants, 0.72 Gy. Ninety-two percent of patients received ≥1 Gy to the inner quadrants. For each calendar year of diagnosis, dose declined significantly for each location, most rapidly for the inner quadrants (0.04 Gy/year). Declines in dose were similar across subgroups defined by age at diagnosis and body mass index. The PAR for CBC due to radiation exposure >1 Gy for women <40 years of age was 17%. Radiation dose-reduction measures have reduced dose to the contralateral breast during breast radiation therapy. Reducing the dose to the contralateral breast to <1 Gy could prevent an estimated 17% of subsequent radiation-associated CBCs for women treated under 40 years of age. These dose estimates inform CBC surveillance for the growing number of breast cancer survivors who received radiation therapy as young women in recent decades. Continued reductions in dose to the contralateral breast could further reduce the incidence of radiation-associated CBC.

Indexed as

Breast NeoplasmsNeoplasms, Radiation-InducedNeoplasms, Second PrimaryFemaleHumansMiddle AgedRadiation DosageRisk FactorsUnited States

Identifiers

PMID37590492
PMCPMC10684055
OpenAlexW4385927486

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.