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Record W2181635864 · doi:10.1200/jco.2015.64.7552

Radiation of the Internal Mammary Nodes: Is There a Benefit?

2015· letter· en· W2181635864 on OpenAlexaff
Bruce G. Haffty, Timothy J. Whelan, Philip Poortmans

Bibliographic record

VenueJournal of Clinical Oncology · 2015
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsHamilton Health SciencesJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineLumpectomyBreast cancerRadiation therapyOncologyMastectomyInternal medicineRandomized controlled trialAxillary lymph nodesCancerStage (stratigraphy)Surgery

Abstract

fetched live from OpenAlex

Regional nodal irradiation as a component of both postmastectomy and postlumpectomy radiation has been shown in numerous randomized trials and meta-analyses to have a significant impact on locoregional control, breast cancer mortality, and, in some cases, overall survival. A recent meta-analysis of postmastectomy radiation demonstrated a breast cancer mortality benefit in patients with involved axillary nodes, independent of the use of chemotherapy or the number of nodes involved. From a more current era, two recently reported randomized trials also demonstrated a benefit to regional nodal irradiation in early-stage breast cancer in which the majority of patients had one to three involved nodes or high-risk/medial location node-negative disease. These trials included patients who had undergone lumpectomy or mastectomy, and patients were randomly assigned to breast/chest wall irradiation alone or to breast/chest wall irradiation plus regional nodal irradiation. In both trials, radiation to the nodes was directed at the internalmammary, supraclavicular, and undissected levels II to III lymph nodes. Although neither trial reached the primary goal of demonstrating statistically significant improved survival, they both reported an improvement in disease-free and distant metastasis–free survival with regional nodal irradiation. The European Organisation for the Research and Treatment of Cancer (EORTC) trial demonstrated a nearly significant improvement in survival and a significant improvement in breast cancermortality, whereas theMA.20 trial demonstrated a survival improvement in a prespecified subgroup of patients who had hormone receptor–negativedisease. Because, in both studies, all regional lymphatics were targeted, the relative benefit specific to internal mammary irradiation could not be determined. Although controversies about the selection of patients for regional nodal irradiation remain, there is general consensus and acceptance of the fact that the risks and benefits of regional nodal irradiation should be discussed and considered in appropriately selected patients. However, significant debate and wide variability in practice persist regarding radiation field design and the relative benefit of targeting the internal mammary nodes. The retrospective data, both supporting and refuting the benefits of internal mammary radiation, suffer from the usual limitations of such studies, including selection biases, heterogeneous patient populations, variability of treatment over time, and other confounding factors that cannot be accounted for in retrospective series. Arguments against internal mammary irradiation and barriers to its use point to potential added cardiac and pulmonary toxicity with larger irradiated volumes, increased complexity of treatment setup, and low rates of detectable internal mammary recurrences. Proponents of internal mammary irradiation would argue that all prospective, randomized trials that demonstrated the benefits of regional nodal irradiation routinely included internal mammary irradiation and that, therefore, one cannot exclude specific targeting of the internal mammary nodes as a contributing factor to the improved outcomes reported in these studies and meta-analyses. In addition, with modern radiation treatment planning and the use of a wide range of radiation treatment modalities and techniques—including three-dimensional conformal techniques, intensity-modulated radiation therapy, combination of photons and electrons, deep inspiration breath holding, and even proton beam therapy in selected cases— acceptable radiation doses to the critical cardiac and pulmonary organs at risk for toxicity can be achieved in the majority of patients. These doses lead to an acceptably low risk for toxicity, such that the potential benefit outweighs the potential risks. One recently published randomized trial, which patients who received postmastectomy radiation were specifically randomly assigned to radiation of the internal mammary nodes or not showed an insignificant improvement in survival of 3.3%, from 59.3% to 62.6%, at 10 years in the group randomly assigned to internal mammary radiation. That trial, however, had a number of major limitations. There was, at the time of the study design, an overestimation of the degree of internal mammary involvement, and the number of patients to be included was estimated to detect a 10% difference in survival at 10 years. In retrospect, this was too optimistic, given subsequent meta-analysis that demonstrated a smaller 5% improvement in overall survival at 15 years with any postmastectomy radiation. Furthermore, the actual survival rate observed in the trial was considerably greater than the original design’s expected survival rate. Because of this, the trial was underpowered, and the authors acknowledged that the trial could not rule out a smaller, more realistic potential benefit in survival; they concluded that “we cannot reliably recommend for or against internal mammary irradiation after mastectomy.” In the article that accompanies this editorial, Thorsen et al report the results of the Danish Breast Cancer Cooperative Group (DBCG) internal mammary node (IMN) study, an important,

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)0.009
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.012
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.065
GPT teacher head0.403
Teacher spread0.338 · 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
GenreCommentary

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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Citations20
Published2015
Admission routes1
Has abstractyes

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