Evidence map›Paper›PMID 28573183›Full record

ArticleEndoscopy international open2017

Fiducial markers coupled with 3D PET/CT offer more accurate radiation treatment delivery for locally advanced esophageal cancer.

Jasmine A Oliver, Puja Venkat, Jessica M Frakes, Jason Klapman, Cynthia Harris, Jaime Montilla-Soler, Gautamy C Dhadham, Baderaldeen A Altazi, Geoffrey G Zhang, Eduardo G Moros and 3 more

Open access · goldAbstract read
In one paragraph

Article in Endoscopy international open, 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
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Endoscopic Ultrasound Stagingof Esophageal Cancer.Gastroenterology & hepatology · 2020
    Article
  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

13 authors at 3 institutions in 1 country.

Jasmine A OliverH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Puja VenkatH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Jessica M FrakesH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Jason KlapmanH. Lee Moffitt Cancer Center and Research Institute, Gastrointestinal Tumor Program, Division of Endoscopic Oncology, Tampa, FL, USA.
Cynthia HarrisH. Lee Moffitt Cancer Center and Research Institute, Gastrointestinal Tumor Program, Division of Endoscopic Oncology, Tampa, FL, USA.
Jaime Montilla-SolerH. Lee Moffitt Cancer Center and Research Institute, Department of Diagnostic Imaging, Tampa, FL, USA.
Gautamy C DhadhamH. Lee Moffitt Cancer Center and Research Institute, Gastrointestinal Tumor Program, Division of Endoscopic Oncology, Tampa, FL, USA.
Baderaldeen A AltaziH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Geoffrey G ZhangH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Eduardo G MorosH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Ravi ShridharFlorida Hospital Cancer Institute, Orlando, FL, USA.
Sarah E HoffeH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Kujtim LatifiH. Lee Moffitt Cancer Center and Research Institute, Department of Radiation Oncology, Tampa, FL, USA.
Moffitt Cancer Center · USUniversity of South Florida · USFlorida Hospital Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe role of three-dimensional positron emission tomography/computed tomography (3 D PET/CT) in esophageal tumors that move with respiration and have potential for significant mucosal inflammation is unclear. The aim of this study was to determine the correlation between gross tumor volumes derived from 3 D PET/CT and endoscopically placed fiducial markers.

methodsThis was a retrospective, IRB approved analysis of 40 patients with esophageal cancer with fiducials implanted and PET/CT. The centroid of each fiducial was identified on PET/CT images. Distance between tumor volume and fiducials was measured using axial slices. Image features were extracted and tested for pathologic response predictability.

resultsThe median adaptively calculated threshold value of the standardized uptake value (SUV) to define the metabolic tumor volume (MTV) border was 2.50, which corresponded to a median 23 % of the maximum SUV. The median distance between the inferior fiducial centroid and MTV was - 0.60 cm (- 3.9 to 2.7 cm). The median distance between the superior fiducial centroid and MTV was 1.25 cm (- 4.2 to 6.9 cm). There was no correlation between MTV-to-fiducial distances greater than 2 cm and the gastroenterologist who performed the fiducial implantation. Eccentricity demonstrated statistically significant correlations with pathologic response.

conclusionsThere was a stronger correlation between inferior fiducial location and MTV border compared to the superior extent. The etiology of the discordance superiorly is unclear, potentially representing benign secondary esophagitis, presence of malignant nodes, inflammation caused by technical aspects of the fiducial placement itself, or potential submucosal disease. Given the concordance inferiorly and the ability to more precisely set up the patient with daily image guidance matching to fiducials, it may be possible to minimize the planning tumor volume (PTV) margin in select patients, thereby, limiting dose to normal structures.

Identifiers

PMID28573183
PMCPMC5451282
OpenAlexW2620766045

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.