Evidence map›Paper›PMID 28740908›Full record

ArticleAdvances in radiation oncology

Preplanning prediction of the left anterior descending artery maximum dose based on patient, dosimetric, and treatment planning parameters.

Benjamin T Cooper, Xiaochun Li, Samuel M Shin, Aram S Modrek, Howard C Hsu, J K DeWyngaert, Gabor Jozsef, Stella C Lymberis, Judith D Goldberg, Silvia C Formenti

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. 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
0.4field-weighted citation impact, top 34% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Knowledge-based radiation treatment planning: A data-driven method survey.Journal of applied clinical medical physics · 2021
    Review
  4. Review
  5. Article
  6. 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

10 authors at 2 institutions in 1 country.

Benjamin T CooperDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
Xiaochun LiDivision of Biostatistics and Department of Population Health, New York University School of Medicine, New York, New York.
Samuel M ShinDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
Aram S ModrekDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
Howard C HsuDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
J K DeWyngaertDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
Gabor JozsefDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
Stella C LymberisDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
Judith D GoldbergDivision of Biostatistics and Department of Population Health, New York University School of Medicine, New York, New York.
Silvia C FormentiDepartment of Radiation Oncology, New York University School of Medicine and Langone Medical Center, New York, New York.
NYU Langone Health · USNew York University · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
NCI NIH HHS P30 CA016087
6 · The paper itself

Abstract

purposeMaximum dose to the left anterior descending artery (LADmax) is an important physical constraint to reduce the risk of cardiovascular toxicity. We generated a simple algorithm to guide the positioning of the tangent fields to reliably maintain LADmax <10 Gy. METHODS AND MATERIALS: Dosimetric plans from 146 consecutive women treated prone to the left breast enrolled in prospective protocols of accelerated whole breast radiation therapy, with a concomitant daily boost to the tumor bed (40.5 Gy/15 fraction to the whole breast and 48 Gy to the tumor bed), provided the training set for algorithm development. Scatter plots and correlation coefficients were used to describe the bivariate relationships between LADmax and several parameters: distance from the tumor cavity to the tangent field edge, cavity size, breast separation, field size, and distance from the tangent field. A logistic sigmoid curve was used to model the relationship of LADmax and the distance from the tangent field. Furthermore, we tested this prediction model on a validation data set of 53 consecutive similar patients.

resultsA lack of linear relationships between LADmax and distance from cavity to LAD (-0.47), cavity size (-0.18), breast separation (-0.02), or field size (-0.28) was observed. In contrast, distance from the tangent field was highly negatively correlated to LADmax (-0.84) and was used in the models to predict LADmax. From a logistic sigmoid model we selected a cut-point of 2.46 mm (95% confidence interval, 2.19-2.74 mm) greater than which LADmax is <10 Gy (95% confidence interval, 9.30-10.72 Gy) and LADmean is <3.3 Gy.

conclusionsPlacing the edge of the tangents at least 2.5 mm from the closest point of the contoured LAD is likely to assure LADmax is <10 Gy and LADmean is <3.3 Gy in patients treated with prone accelerated breast radiation therapy.

Identifiers

PMID28740908
PMCPMC5514165
OpenAlexW2515868005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.