Evidence map›Paper›PMID 26594591›Full record

ArticleJournal of nuclear medicine & radiation therapy2015

Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal Tumors.

W Lu, S Tan, W Chen, S Kligerman, S J Feigenberg, H Zhang, M Suntharalingam, M Kang, W D D'Souza

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine & radiation therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

W LuDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA.
S TanDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA ; Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
W ChenDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA.
S KligermanDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA.
S J FeigenbergDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA.
H ZhangDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA.
M SuntharalingamDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA.
M KangDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA ; Department of Radiation Oncology, Yeungnam University College of Medicine, Daegu, South Korea.
W D D'SouzaDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, USA.
University of Maryland, Baltimore · US

Funding

Quantitative PET/CT Analysis to Improve Evaluation of Tumor ResponseR01CA172638 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI LU, WEI · 2013 to 2016
$1.3M
PET-GUIDED TUMOR VOLUME DELINEATION FOR RADIATION THERAPYR21CA131979 · NCI · WASHINGTON UNIVERSITY · PI LU, WEI · 2008 to 2009
$376k
NCI NIH HHS R01 CA172638NCI NIH HHS R21 CA131979
6 · The paper itself

Abstract

objectiveTo study whether subvolumes with a high pre-chemoradiotherapy (CRT) FDG uptake could identify residual metabolically-active volumes (MAVs) post-CRT within individual esophageal tumors. Accurate identification will allow simultaneous integrated boost to these subvolumes at higher risk to improve clinical outcomes.

methodsTwenty patients with esophageal cancer were treated with CRT plus surgery and underwent FDG PET/CT scans before and after CRT. The two scans were rigidly registered. Seven MAVs pre-CRT and four MAVs post-CRT within a tumor were defined with various SUV thresholds. The similarity and proximity between the MAVs pre-CRT and post-CRT were quantified with three metrics: fraction of post-CRT MAV included in pre-CRT MAV, volume overlap and centroid distance.

resultsEight patients had no residual MAV. Six patients had local residual MAV (SUV ≥2.5 post-CRT) within or adjoining the original MAV (SUV ≥2.5 pre-CRT). On average, less than 65% of any post-CRT MAVs was included in any pre-CRT MAVs, with a low volume overlap <45%, and large centroid distance >8.6 mm. In general, subvolumes with higher FDG-uptake pre-CRT or post-CRT had lower volume overlap and larger centroid distance. Six patients had new distant MAVs that were determined to be inflammation from radiation therapy.

conclusionsPre-CRT PET/CT cannot reliably identify the residual MAVs within individual esophageal tumors. Simultaneous integrated boost to subvolumes with high FDG uptake pre-CRT may not be feasible.

Indexed as

18F-FDG PET/CTEsophageal cancerRadiation therapy

Identifiers

PMID26594591
PMCPMC4652953
OpenAlexW2175617943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.