Evidence map›Paper›PMID 38146130›Full record

ArticleJournal of applied clinical medical physics2024

A new predictive parameter for dose-volume metrics in intensity-modulated radiation therapy planning for prostate cancer: Initial phantom study.

Yuki Saito, Ryusuke Suzuki, Naoki Miyamoto, Kenneth Lee Sutherland, Takahiro Kanehira, Masaya Tamura, Takashi Mori, Kentaro Nishioka, Takayuki Hashimoto, Hidefumi Aoyama

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 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

10 authors at 2 institutions in 1 country.

Yuki SaitoGraduate School of Biomedical Science and Engineering, Hokkaido University, Sapporo, Japan.
Ryusuke SuzukiGraduate School of Biomedical Science and Engineering, Hokkaido University, Sapporo, Japan.ORCID https://orcid.org/0000-0002-4635-9487
Naoki MiyamotoDepartment of Medical Physics, Hokkaido University Hospital, Sapporo, Japan.
Kenneth Lee SutherlandGlobal Center for Biomedical Science and Engineering, Faculty for Medicine, Hokkaido University, Sapporo, Japan.
Takahiro KanehiraGraduate School of Biomedical Science and Engineering, Hokkaido University, Sapporo, Japan.
Masaya TamuraGraduate School of Biomedical Science and Engineering, Hokkaido University, Sapporo, Japan.
Takashi MoriDepartment of Radiation Oncology, Hokkaido University Hospital, Sapporo, Japan.
Kentaro NishiokaGlobal Center for Biomedical Science and Engineering, Faculty for Medicine, Hokkaido University, Sapporo, Japan.
Takayuki HashimotoGlobal Center for Biomedical Science and Engineering, Faculty for Medicine, Hokkaido University, Sapporo, Japan.
Hidefumi AoyamaDepartment of Radiation Oncology, Hokkaido University Hospital, Sapporo, Japan.
Hokkaido University · JPHokkaido University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrgan-at-risk (OAR) sparing is often assessed using an overlap volume-based parameter, defined as the ratio of the volume of OAR that overlaps the planning target volume (PTV) to the whole OAR volume. However, this conventional overlap-based predictive parameter (COPP) does not consider the volume relationship between the PTV and OAR. PURPOSE: We propose a new overlap-based predictive parameter that consider the PTV volume. The effectiveness of proposed overlap-based predictive parameter (POPP) is evaluated compared with COPP.

methodsWe defined as POPP = (overlap volume between OAR and PTV/OAR volume) × (PTV volume/OAR volume). We generated intensity modulated radiation therapy (IMRT) based on step and shoot technique, and volumetric modulated arc therapy (VMAT) plans with the Auto-Planning module of Pinnacle

resultsOur results indicated POPP was better than COPP in predicting intermediate-dose metrics. The bladder results showed a trend similar to that of the rectum. The correlation coefficient of POPP was significantly greater than that of COPP in < 62 Gy (82% of the prescribed dose) region for IMRT and in < 55 Gy (73% of the prescribed dose) region for VMAT regarding the rectum (p < 0.05).

conclusionsPOPP is superior to COPP for creating predictive models at an intermediate-dose level. Because rectal bleeding and bladder toxicity can be associated with intermediate-doses as well as high-doses, it is important to predict dose-volume metrics for various dose levels. POPP is a useful parameter for predicting dose-volume metrics and assisting the generation of treatment plans.

Indexed as

Prostatic NeoplasmsRadiotherapy, Intensity-ModulatedHumansMaleOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-Assistedintensity‐modulated radiation therapyoverlap volumepinnacle3 Auto‐Planningplan qualityprostate cancerstep and shootvolumetric modulated arc therapy

Identifiers

PMID38146130
PMCPMC11005967
OpenAlexW4390225118

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.