Evidence map›Paper›PMID 31569617›Full record

ArticleCancers2019

Evaluation of Intensity- and Contour-Based Deformable Image Registration Accuracy in Pancreatic Cancer Patients.

Yoshiki Kubota, Masahiko Okamoto, Yang Li, Shintaro Shiba, Shohei Okazaki, Shuichiro Komatsu, Makoto Sakai, Nobuteru Kubo, Tatsuya Ohno, Takashi Nakano

Abstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Yoshiki KubotaGunma University Heavy Ion Medical Center, Maebashi 371, Japan. y_kubota@gunma-u.ac.jp.
Masahiko OkamotoGunma University Heavy Ion Medical Center, Maebashi 371, Japan. okamott@gunma-u.ac.jp.
Yang LiGraduate School of Medicine, Gunma University, Maebashi 371, Japan. dr.yang.li@foxmail.com.
Shintaro ShibaGraduate School of Medicine, Gunma University, Maebashi 371, Japan. shiba4885@yahoo.co.jp.
Shohei OkazakiGunma University Heavy Ion Medical Center, Maebashi 371, Japan. o_syohei_1015@yahoo.co.jp.
Shuichiro KomatsuGunma University Heavy Ion Medical Center, Maebashi 371, Japan. shuichiro.for.precious@gmail.com.
Makoto SakaiGunma University Heavy Ion Medical Center, Maebashi 371, Japan.
Nobuteru KuboGunma University Heavy Ion Medical Center, Maebashi 371, Japan. kubo0330@gmail.com.
Tatsuya OhnoGunma University Heavy Ion Medical Center, Maebashi 371, Japan. tohno@gunma-u.ac.jp.
Takashi NakanoGunma University Heavy Ion Medical Center, Maebashi 371, Japan. nakano.takashi2@qst.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to clarify the accuracy of rigid image registration and deformable image registration (DIR) in carbon-ion radiotherapy (CIRT) for pancreatic cancer. Six patients with pancreatic cancer who were treated with passive irradiation CIRT were enrolled. Three registration patterns were evaluated: treatment planning computed tomography images (TPCT) to CT images acquired in the treatment room (IRCT) in the supine position, TPCT to IRCT in the prone position, and TPCT in the supine position to the prone position. After warping the contours of the original CT images to the destination CT images using deformation matrices from the registration, the warped delineated contours on the destination CT images were compared with the original ones using mean displacement to agreement (MDA). Four contours (clinical target volume (CTV), gross tumor volume (GTV), stomach, duodenum) and four registration algorithms (rigid image registration [RIR], intensity-based DIR [iDIR], contour-based DIR [cDIR], and a hybrid iDIR-cDIR ([hDIR]) were evaluated. The means ± standard deviation of the MDAs of all contours for RIR, iDIR, cDIR, and hDIR were 3.40 ± 3.30, 2.2 1± 2.48, 1.46 ± 1.49, and 1.46 ± 1.37 mm, respectively. There were significant differences between RIR and iDIR, and between RIR/iDIR and cDIR/hDIR. For the pancreatic cancer patient images, cDIR and hDIR had better accuracy than RIR and iDIR.

Indexed as

deformable image registration accuracyintensity- and contour-based deformable image registrationmean displacement to agreementpancreatic cancer

Identifiers

PMID31569617
PMCPMC6826682

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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.