Evidence map›Paper›PMID 34885258›Full record

ArticleCancers2021

Feasibility, SAR Distribution, and Clinical Outcome upon Reirradiation and Deep Hyperthermia Using the Hypercollar3D in Head and Neck Cancer Patients.

Michiel Kroesen, Netteke van Holthe, Kemal Sumser, Dana Chitu, Rene Vernhout, Gerda Verduijn, Martine Franckena, Jose Hardillo, Gerard van Rhoon, Margarethus Paulides

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Automatic specific absorption rate (SAR) prediction for hyperthermia treatment planning using deep learning method.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2025
    Article
  2. Article
  3. Reirradiation - still navigating uncharted waters?Clinical and translational radiation oncology · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Article
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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 1 institution in 1 country.

Michiel KroesenDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.ORCID 0000-0002-1346-2277
Netteke van HoltheDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.
Kemal SumserDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.ORCID 0000-0002-6695-2659
Dana ChituDepartment of Hematology, HOVON Data Center, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.
Rene VernhoutDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.
Gerda VerduijnDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.
Martine FranckenaDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.
Jose HardilloDepartment of Otorhinolaryngology-Head and Neck Surgery, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.ORCID 0000-0001-5580-5613
Gerard van RhoonDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.ORCID 0000-0002-7365-5783
Margarethus PaulidesDepartment of Radiation Oncology, Erasmus MC Cancer Institute, 3015GD Rotterdam, The Netherlands.ORCID 0000-0002-5891-2139
Erasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Head and neck cancer (HNC) patients with recurrent or second primary (SP) tumors in previously irradiated areas represent a clinical challenge. Definitive or postoperative reirradiation with or without sensitizing therapy, like chemotherapy, should be considered. As an alternative to chemotherapy, hyperthermia has shown to be a potent sensitizer of radiotherapy in clinical studies in the primary treatment of HNC. At our institution, we developed the Hypercollar3D, as the successor to the Hypercollar, to enable improved application of hyperthermia for deeply located HNC. In this study, we report on the feasibility and clinical outcome of patients treated with the Hypercollar3D as an adjuvant to reirradiation in recurrent or SP HNC patients; (2) Methods: We retrospectively analyzed all patients with a recurrent or SP HNC treated with reirradiation combined with hyperthermia using the Hypercollar3D between 2014 and 2018. Data on patients, tumors, and treatments were collected. Follow-up data on disease specific outcomes as well as acute and late toxicity were collected. Data were analyzed using Kaplan Meier analyses; (3) Results: Twenty-two patients with recurrent or SP HNC were included. The average mean estimated applied cfSAR to the tumor volume for the last 17 patients was 80.5 W/kg. Therefore, the novel Hypercollar3D deposits 55% more energy at the target than our previous Hypercollar applicator. In patients treated with definitive thermoradiotherapy a complete response rate of 81.8% (9/11) was observed at 12 weeks following radiotherapy. Two-year local control (LC) and overall survival (OS) were 36.4% (95% CI 17.4-55.7%) and 54.6% (95% CI 32.1-72.4%), respectively. Patients with an interval longer than 24 months from their previous radiotherapy course had an LC of 66.7% (95% CI 37.5-84.6%), whereas patients with a time interval shorter than 24 months had an LC of 14.3% (95% CI 0.7-46.5%) at 18 months (

Indexed as

head and neck cancerhyperthermiareirradiationtreatment outcome

Identifiers

PMID34885258
PMCPMC8656471
OpenAlexW4200032792

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.