Evidence map›Paper›PMID 37974274›Full record

ArticleRadiation oncology (London, England)2023

Failure patterns of locoregional recurrence after reducing target volumes in patients with nasopharyngeal carcinoma receiving adaptive replanning during intensity-modulated radiotherapy: a single-center experience in China.

Xiate Zhou, Jian Zhu, Chao Zhou, Wei Wang, Weijun Ding, Meng Chen, Kuifei Chen, Shuling Li, Xiaofeng Chen, Haihua Yang

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2023. 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
1.0field-weighted citation impact, top 22% 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

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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, 3 citations in OpenAlex.

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4 · The record

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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 4 institutions in 2 countries.

Xiate Zhou *Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China.
Jian Zhu *Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China.
Chao ZhouDepartment of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China.
Wei WangDepartment of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China.
Weijun DingDepartment of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China.
Meng ChenDepartment of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China.
Kuifei ChenSchool of Medicine, Shaoxing University, Shaoxing City, 312000, Zhejiang Province, China.
Shuling LiSchool of Medicine, Shaoxing University, Shaoxing City, 312000, Zhejiang Province, China.
Xiaofeng ChenDepartment of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA. xch4@iu.edu.
Haihua YangDepartment of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang Province, China. yhh93181@hotmail.com.
Zhejiang Taizhou Hospital · CNShaoxing University · CNWenzhou Medical University · CNIndiana University Health · US

Funding

Science and Technology Plan Project of Taizhou 22ywb49Taizhou Anti-Cancer Association special research project TACA-B01
6 · The paper itself

Abstract

backgroundPrevious researches have demonstrated that adaptive replanning during intensity-modulated radiation therapy (IMRT) could enhance the prognosis of patients with nasopharyngeal carcinoma (NPC). However, the delineation of replanning target volumes remains unclear. This study aimed to evaluate the feasibility of reducing target volumes through adaptive replanning during IMRT by analyzing long-term survival outcomes and failure patterns of locoregional recurrence in NPC.

methodsThis study enrolled consecutive NPC patients who received IMRT at our hospital between August 2011 and April 2018. Patients with initially diagnosed, histologically verified, non-metastatic nasopharyngeal cancer were eligible for participation in this study. The location and extent of locoregional recurrences were transferred to pretreatment planning computed tomography for dosimetry analysis.

resultsAmong 274 patients, 100 (36.5%) received IMRT without replanning and 174 (63.5%) received IMRT with replanning. Five-year rates of locoregional recurrence-free survival (LRFS) were 90.1% (95%CI, 84.8% to 95.4%) and 80.8% (95%CI, 72.0% to 89.6%) for patients with and without replanning, P = 0.045. There were 17 locoregional recurrences in 15 patients among patients with replanning, of which 1 (5.9%) was out-field and 16 (94.1%) were in-field. Among patients without replanning, 19 patients developed locoregional recurrences, of which 1 (5.3%) was out-field, 2 (10.5%) were marginal, and 16 (84.2%) were in-field.

conclusionsIn-field failure inside the high dose area was the most common locoregional recurrent pattern for non-metastatic NPC. Adapting the target volumes and modifying the radiation dose prescribed to the area of tumor reduction during IMRT was feasible and would not cause additional recurrence in the shrunken area.

Indexed as

Nasopharyngeal NeoplasmsRadiotherapy, Intensity-ModulatedChinaHumansNasopharyngeal CarcinomaNeoplasm Recurrence, LocalRadiotherapy Planning, Computer-AssistedFailure patternsIntensity-modulated radiation therapy (IMRT)Nasopharyngeal carcinoma (NPC)ReplanningTarget delineation

Identifiers

PMID37974274
PMCPMC10652536
OpenAlexW4388733925

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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.