Evidence map›Paper›PMID 27887643›Full record

ArticleRadiation oncology (London, England)2016

Distribution of FDG-avid nodes in esophageal cancer: implications for radiotherapy target delineation.

Brandon Garcia, Karyn A Goodman, Lajhem Cambridge, Mark Dunphy, Abraham J Wu

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Impact ofStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2020
    Article
  4. 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

5 authors at 2 institutions in 1 country.

Brandon GarciaColumbia University College of Physicians and Surgeons, New York, NY, USA.
Karyn A GoodmanDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 22, New York, 10065, NY, USA.
Lajhem CambridgeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 22, New York, 10065, NY, USA.
Mark DunphyMolecular Imaging and Therapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Abraham J WuDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 22, New York, 10065, NY, USA. wua@mskcc.org.
Memorial Sloan Kettering Cancer Center · USColumbia University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Summer research experiences for medical students supervised by faculty mentorsR25CA020449 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Charlotte Eielson Ariyan · 1985 to 2026
$6.2M
Biomarkers for predicting response to Hsp90 therapyR01CA172546 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, DUNPHY, MARK P. · 2013 to 2017
$2.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA172546NCI NIH HHS R25 CA020449
6 · The paper itself

Abstract

purposeClinical target volumes (CTV) for radiotherapy (RT) in esophageal cancer (EC) are based on standard expansions of primary tumor volume. Data is needed to define regions at highest risk for occult disease, based on histology and location of the primary tumor. We therefore reviewed PET scans in EC patients to characterize the location of FDG-avid lymph node metastases (LNM). MATERIALS AND

methodsWe identified 473 EC patients with reviewable pre-treatment PET-CT scans. Tumors were classified by histology and location; 85% were distal or GE junction tumors and 71% were adenocarcinoma. FDG-avid LNM were classified using standard radiographic nodal atlases, and distances from primary tumor to paraesophageal LNM were also measured.

resultsThe most common LNM in upper EC were supraclavicular, retrotracheal and paratracheal. The most common LNM in lower EC were paraesophageal and in the gastrohepatic space. Overall, 55% of paraesophageal LNM were adjacent to primary tumor. Of upper esophageal tumors with paraesophageal LNM, 87% were adjacent to the tumor and none were >6 cm from tumor. However, 57% of lower esophageal tumors with paraesophageal LNM had non-adjacent paraesophageal nodes, 24% of which were >8 cm from the tumor.

conclusionA more data-driven and individualized approach to CTV delineation could improve the therapeutic ratio of RT in esophageal cancer. These results can guide CTV delineation by indicating the potential distribution of nodal involvement in esophageal cancer.

Indexed as

AdultAgedAged, 80 and overEsophageal NeoplasmsEsophagogastric JunctionFemaleFluorodeoxyglucose F18HumansLymphatic MetastasisLymph NodesMaleMiddle AgedPositron Emission Tomography Computed TomographyFluorodeoxyglucose F18AdenocarcinomaCarcinomaEsophageal neoplasmsLymph nodesRadiation oncologySquamous cell

Identifiers

PMID27887643
PMCPMC5123237
OpenAlexW2553229149

What OpenQuestion holds

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LicenceCC BY
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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.