Evidence map›Paper›PMID 31814755›Full record

ArticleBreast cancer (Dove Medical Press)2019

Comparison Of Accelerated Partial Breast Radiation Therapy And External Beam Radiation Therapy By Treatment Planning Indices.

Peyman Hejazi, Maede Jafari Tirtash, Alireza Khoshbin Khoshnazar

Open access · goldAbstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Peyman HejaziDepartment of Medical Physics, Semnan University of Medical Sciences, Semnan, Iran.
Maede Jafari TirtashDepartment of Radiotherapy, Mirdamad Oncology and Radiotherapy Center, Gorgan, Iran.
Alireza Khoshbin KhoshnazarDepartment of Biochemistry and Medical Physics, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Golestan University of Medical Sciences · IRSemnan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccelerated partial breast irradiation (APBI) is a method in which just bed of lumpectomy with a margin of 1-2 cm is irradiated. Regarding advantages of APBI to whole-brain radiation therapy (WBRT) and limitations for performing other techniques, we compare external beam radiation therapy (EBRT) with three-dimensional conformal radiation therapy (3DCRT), as a type of APBI technique.

methodsDosimetric parameters including uniformity index (UI), conformity index (CI), and homogeneity index (HI) beside heart and lung doses were assessed and compared in two techniques. CT images of 24 patients with left-sided breast cancer after lumpectomy were selected. Patients were categorized into three groups based on the volume of breast, respectively, ≤ 1000 cc, 1000-1500 cc, and ≥ 1500 cc. CI, HI, UI and DVH were calculated by DosiSoftIsogray treatment planning software.

resultsResults show the value of UI in APBI method is more than EBRT method significantly (p=0.004). Moreover, that CI in APBI method was more than EBRT (p=0.0000) and nearer to 1. There was no significant difference between HI values between APBI and EBRT methods. As the volume of breast gets bigger, HI values rise, meaning worse homogeneity.

conclusionAPBI method may be a good method for minimizing side effect and minimizing treatment periods.

Indexed as

breast cancerexternal beam radiation therapypartial radiation therapy

Identifiers

PMID31814755
PMCPMC6861531
OpenAlexW2983096326

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LicenceCC BY-NC
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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.