Evidence map›Paper›PMID 28320428›Full record

ArticleRadiation oncology (London, England)2017

A topology-based method to mitigate the dosimetric uncertainty caused by the positional variation of the boost volume in breast conservative radiotherapy.

Peng-Yi Lee, Chih-Yuan Lin, Shang-Wen Chen, Chun-Ru Chien, Chun-Nan Chu, Hsiu-Ting Hsu, Ji-An Liang, Ying-Jun Lin, An-Cheng Shiau

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

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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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Peng-Yi LeeDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Chih-Yuan LinDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Shang-Wen ChenDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Chun-Ru ChienDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Chun-Nan ChuDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Hsiu-Ting HsuDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Ji-An LiangDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
Ying-Jun LinDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan.
An-Cheng ShiauDepartment of Radiation Oncology, China Medical University Hospital, 2nd Yu-De Road, North District, Taichung City, Taiwan. shiau158@ms22.hinet.net.
China Medical University Hospital · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve local control rate in patients with breast cancer receiving adjuvant radiotherapy after breast conservative surgery, additional boost dose to the tumor bed could be delivered simultaneously via the simultaneous integrated boost (SIB) modulated technique. However, the position of tumor bed kept changing during the treatment course as the treatment position was aligned to bony anatomy. This study aimed to analyze the positional uncertainties between bony anatomy and tumor bed, and a topology-based approach was derived to stratify patients with high variation in tumor bed localization.

methodsSixty patients with early-stage breast cancer or ductal carcinoma in situ were enrolled. All received adjuvant whole breast radiotherapy with or without local boost via SIB technique. The delineation of tumor bed was defined by incorporating the anatomy of seroma, adjacent surgical clips, and any architectural distortion on computed tomography simulation. A total of 1740 on-board images were retrospectively analyzed. Positional uncertainty of tumor bed was assessed by four components: namely systematic error (SE), and random error (RE), through anterior-posterior (AP), cranial-caudal (CC), left-right (LR) directions and couch rotation (CR). Age, tumor location, and body-mass factors including volume of breast, volume of tumor bed, breast thickness, and body mass index (BMI) were analyzed for their predictive role. The appropriate margin to accommodate the positional uncertainty of the boost volume was assessed, and the new plans with this margin for the tumor bed was designed as the high risk planning target volume (PTV-H) were created retrospectively to evaluate the impact on organs at risk.

resultsIn univariate analysis, a larger breast thickness, larger breast volume, higher BMI, and different tumor locations correlated with a greater positional uncertainty of tumor bed. However, BMI was the only factor associated with displacements of surgical clips in the multivariate analysis and patients with higher BMI were stratified as high variation group. When image guidance was aligned to bony structures, the SE and RE of clip displacement were consistently larger in the high variation group. The corresponding PTV-H margins for the high- and low-variation groups were 7, 10, 10 mm and 4, 9, 6 mm in AP, CC, LR directions, respectively. The heart dose between the two plans was not significantly different, whereas the dosimetric parameters for the ipsilateral lung were generally higher in the new plans.

conclusionsIn patients with breast cancer receiving adjuvant radiotherapy, a higher BMI is associated with a greater positional uncertainty of the boost tumor volume. More generous margin should be considered and it can be safely applied through proper design of beam arrangement with advanced treatment techniques.

Indexed as

RadiometryAdultAgedBody Mass IndexBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingFemaleHumansMiddle AgedRadiotherapyRadiotherapy Planning, Computer-AssistedRetrospective StudiesSurgical InstrumentsUncertaintyAdjuvant radiotherapyBreast cancerSimultaneous integrated boostTumor bed uncertainty

Identifiers

PMID28320428
PMCPMC5359879
OpenAlexW2603886673

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.