Evidence map›Paper›PMID 26425053›Full record

ArticleJournal of Korean medical science2015

Dosimetric Effects of Magnetic Resonance Imaging-assisted Radiotherapy Planning: Dose Optimization for Target Volumes at High Risk and Analytic Radiobiological Dose Evaluation.

Ji-Yeon Park, Tae Suk Suh, Jeong-Woo Lee, Kook-Jin Ahn, Hae-Jin Park, Bo-Young Choe, Semie Hong

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2015. 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
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Ji-Yeon ParkDepartment of Radiation Oncology, University of Florida, FL, USA.
Tae Suk SuhDepartment of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, Korea. ; Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jeong-Woo LeeDepartment of Radiation Oncology, Konkuk University Medical Center, Seoul, Korea.
Kook-Jin AhnDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hae-Jin ParkDepartment of Radiation Oncology, Ajou University School of Medicine, Suwon, Korea.
Bo-Young ChoeDepartment of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, Korea. ; Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Semie HongDepartment of Radiation Oncology, Konkuk University Medical Center, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the assumption that apparent diffusion coefficients (ADCs) define high-risk clinical target volume (aCTVHR) in high-grade glioma in a cellularity-dependent manner, the dosimetric effects of aCTVHR-targeted dose optimization were evaluated in two intensity-modulated radiation therapy (IMRT) plans. Diffusion-weighted magnetic resonance (MR) images and ADC maps were analyzed qualitatively and quantitatively to determine aCTVHR in a high-grade glioma with high cellularity. After confirming tumor malignancy using the average and minimum ADCs and ADC ratios, the aCTVHR with double- or triple-restricted water diffusion was defined on computed tomography images through image registration. Doses to the aCTVHR and CTV defined on T1-weighted MR images were optimized using a simultaneous integrated boost technique. The dosimetric benefits for CTVs and organs at risk (OARs) were compared using dose volume histograms and various biophysical indices in an ADC map-based IMRT (IMRTADC) plan and a conventional IMRT (IMRTconv) plan. The IMRTADC plan improved dose conformity up to 15 times, compared to the IMRTconv plan. It reduced the equivalent uniform doses in the visual system and brain stem by more than 10% and 16%, respectively. The ADC-based target differentiation and dose optimization may facilitate conformal dose distribution to the aCTVHR and OAR sparing in an IMRT plan.

Indexed as

Radiotherapy DosageContrast MediaGadoliniumGliomaHumansMagnetic Resonance ImagingRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedTumor BurdenContrast MediaGadoliniumDiffusion Magnetic Resonance ImagingGliomaRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assisted

Identifiers

PMID26425053
PMCPMC4575945

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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.