Evidence map›Paper›PMID 26834115›Full record

ArticleTechnology in cancer research & treatment2017

Individualized Radiation Dose Escalation Based on the Decrease in Tumor FDG Uptake and Normal Tissue Constraints Improve Survival in Patients With Esophageal Carcinoma.

Jinbo Ma, Zhaoyang Wang, Chengde Wang, Ercheng Chen, Yaozong Dong, Yipeng Song, Wei Wang, Dong You, Wei Jiang, Rukun Zang

Open access · bronzeAbstract read
In one paragraph

Article in Technology in cancer research & treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Molecular Imaging in Photon Radiotherapy.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
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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 at 2 institutions in 1 country.

Jinbo Ma1 Department of Radiation Oncology, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, China.
Zhaoyang Wang2 Department of Thoracic Surgery, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, P.R. China.
Chengde Wang2 Department of Thoracic Surgery, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, P.R. China.
Ercheng Chen1 Department of Radiation Oncology, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, China.
Yaozong Dong2 Department of Thoracic Surgery, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, P.R. China.
Yipeng Song1 Department of Radiation Oncology, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, China.
Wei Wang2 Department of Thoracic Surgery, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, P.R. China.
Dong You1 Department of Radiation Oncology, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, China.
Wei Jiang1 Department of Radiation Oncology, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, China.
Rukun Zang1 Department of Radiation Oncology, Yantai Yuhuangding Hospital, School of Medicine, Qingdao University, Yantai, China.
Yuhuangding Hospital · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine whether individualized radiation dose escalation after planned chemoradiation based on the decrease in tumor and normal tissue constraints can improve survival in patients with esophageal carcinoma.

methodsFrom August 2005 to December 2010, 112 patients with squamous esophageal carcinoma were treated with radical concurrent chemoradiation. Patients received positron emission tomography-computer tomography scan twice, before radiation and after radiation dose of 50.4 Gy. All patients were noncomplete metabolic response groups according to the Response Evaluation Criteria in solid tumors. Only 52 patients with noncomplete metabolic response received individualized dose escalation based on tumor and normal tissue constraints. Survival and treatment failure were observed and analyzed using SPSS (13.0).

resultsThe rate of complete metabolic response for patients with noncomplete metabolic response after dose escalation reached 17.3% (9 of 52). The 2-year overall survival rates for patients with noncomplete metabolic response in the conventional and dose-escalation groups were 20.5% and 42.8%, respectively( P = .001). The 2-year local control rates for patients were 35.7% and 76.2%, respectively ( P = .002). When patients were classified into partial metabolic response and no metabolic response, 2-year overall survival rates for patients with partial metabolic response were significantly different in conventional and dose-escalation groups (33.8% vs 78.4%; P = .000). The 2-year overall survival rates for patients with no metabolic response in two groups (8.6% vs 15.1%) did not significantly differ ( P = .917).

conclusionIndividualized radiation dose escalation has the potential to improve survival in patients with esophageal carcinoma according to increased rate of complete metabolic response. However, further trials are needed to confirm this and to identify patients who may benefit from dose escalation.

Indexed as

Radiotherapy DosageAgedAged, 80 and overCombined Modality TherapyEsophageal NeoplasmsFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedNeoplasm StagingPositron Emission Tomography Computed TomographyPrecision MedicinePrognosisRadiotherapy, Image-GuidedTreatment FailureFluorodeoxyglucose F18chemoradiationdose escalationesophageal cancerindividualizationtumor FDG uptake

Identifiers

PMID26834115
PMCPMC5616118
OpenAlexW2264837194

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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.