Evidence map›Paper›PMID 30285889›Full record

ArticleRadiation oncology (London, England)2018

Novel 4D-MRI of tumor infiltrating vasculature: characterizing tumor and vessel volume motion for selective boost volume definition in pancreatic radiotherapy.

Wensha Yang, Zhaoyang Fan, Zixin Deng, Jianing Pang, Xiaoming Bi, Benedick A Fraass, Howard Sandler, Debiao Li, Richard Tuli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiation oncology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

9 authors.

Wensha YangDepartment of Radiation Oncology, Cedars Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, USA. wensha.yang@cshs.org.
Zhaoyang FanDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Zixin DengDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Jianing PangSiemens Healthineers, Los Angeles, USA.
Xiaoming BiSiemens Healthineers, Los Angeles, USA.
Benedick A FraassDepartment of Radiation Oncology, Cedars Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, USA.
Howard SandlerDepartment of Radiation Oncology, Cedars Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, USA.
Debiao LiDepartment of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Richard TuliDepartment of Radiation Oncology, Cedars Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, USA.

Funding

Improving Pancreas RT Plans using Respiration-driven Anatomic DeformationR03CA173273 · NCI · CEDARS-SINAI MEDICAL CENTER · PI YANG, WENSHA · 2013 to 2014
$158k
National Cancer Institute R03CA173273NCI NIH HHS R03 CA173273
6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma has dismal prognosis. Most patients receive radiation therapy (RT), which is complicated by respiration induced organ motion in upper abdomen. The purpose of this study is to report our early clinical experience in a novel self-gated k-space sorted four-dimensional magnetic resonance imaging (4D-MRI) with slab-selective (SS) excitation to highlight tumor infiltrating blood vessels for pancreatic RT.

methodsTen consecutive patients with borderline resectable or locally advanced pancreatic cancer were recruited to the study. Non-contrast 4D-MRI with and without slab-selective excitation and 4D-CT with delay contrast were performed on all patients. Vessel-tissue CNR were calculated for aorta and critical vessels (superior mesenteric artery or superior mesenteric vein) encompassed by tumor. Respiratory motion trajectories for tumor, as well as involved vessels were analyzed on SS-4D-MRI. Intra-class cross correlation (ICC) between tumor volume and involved vessels were calculated.

resultsAmong all 4D imaging modalities evaluated, SS-4D-MRI sampling trajectory results in images with highest vessel-tissue CNR comparing to non-slab-selective 4D-MRI and 4D-CT for all patients studied. Average (±standard deviation) CNR for involved vessels are 13.1 ± 8.4 and 3.2 ± 2.7 for SS-4D-MRI and 4D-CT, respectively. The ICC factors comparing tumor and involved vessels motion trajectories are 0.93 ± 0.10, 0.65 ± 0.31 and 0.77 ± 0.23 for superior-inferior, anterior-posterior and medial-lateral directions respectively.

conclusionsA novel 4D-MRI sequence based on 3D-radial sampling and slab-selective excitation has been assessed for pancreatic cancer patients. The non-contrast 4D-MRI images showed significantly better contrast to noise ratio for the vessels that limit tumor resectability compared to 4D-CT with delayed contrast. The sequence has great potential in accurately defining both the tumor and boost volume margins for pancreas RT with simultaneous integrated boost.

Indexed as

MovementAdolescentAdultAgedFemaleFour-Dimensional Computed TomographyHumansMaleMiddle AgedNeovascularization, PathologicPancreatic NeoplasmsRespirationRespiratory-Gated Imaging TechniquesTumor Burden

Identifiers

PMID30285889
PMCPMC6167784

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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.