Evidence map›Paper›PMID 40949474›Full record

ArticleEcancermedicalscience2025

DEHyART trial: Study protocol for phase 2 randomised controlled study assessing the role of dose escalation using [18F] fluoromisonidazole positron emission tomography/computed tomography in head and neck cancers.

Sarthak Tandon, Manoj Gupta, Parveen Ahlawat, Madhur Verma, Apoorva Nayak, Akash Bellige, Kundan S Chufal, Jaskaran S Sethi, Anjali Pahuja, Shreya Rai and 17 more

Abstract readCase Reports
In one paragraph

Article in Ecancermedicalscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Sarthak TandonDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Manoj GuptaDepartment of Nuclear Medicine, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Parveen AhlawatDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Madhur VermaDepartment of Community and Family Medicine, AIIMS, Bhatinda 110029, India.
Apoorva NayakDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Akash BelligeDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Kundan S ChufalDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Jaskaran S SethiDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Anjali PahujaDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Shreya RaiDepartment of Surgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Abhishek SinghDepartment of Surgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Vikas AroraDepartment of Surgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Vishal YadavDepartment of Surgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
David K SimsonDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Irfan AhmadDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Sandeep SinghDivision of Medical Physics, Department of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Dipesh VashishtDivision of Medical Physics, Department of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Azhar AnsariDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Rashmi BansalDepartment of Medical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Abhishek BhadriDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Harsh VyasDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Manindra MishraDepartment of Surgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Rajat SahaDepartment of Medical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Mudit AgarwalDepartment of Community and Family Medicine, AIIMS, Bhatinda 110029, India.
Partha S ChowdharyDepartment of Nuclear Medicine, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Ajay K DewanDepartment of Surgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Munish GairolaDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Head and neck squamous cell carcinoma is often treated with radiotherapy, frequently combined with chemotherapy, to improve overall survival (OS). Despite advancements, locoregional control (LRC) remains a significant challenge, with 15%-50% of patients experiencing locoregional recurrence, negatively impacting OS and quality of life. Hypoxia within tumor cells is a critical factor contributing to treatment failure, necessitating higher radiation doses to achieve similar therapeutic effects as in normoxic cells. This study aims to investigate the role of dose escalation using [18F] fluoromisonidazole (FMISO) positron emission tomography/computed tomography (PET CT) to target hypoxic sub-volumes in head and neck cancer (HNC) to improve LRC. Methods: The dose-escalated hypoxia-adjusted radiotherapy trial is an open-label, parallel, randomised, single-centre, phase II study. Patients with HNC will undergo [18F]. FMISO PET CT to identify hypoxic regions. Normoxic patients will be labeled as Arm 1 and will not be part of the primary assessment. Patients with hypoxia will be stratified into two arms (2 and 3). Arm 2 will receive standard radiotherapy of 70 Gy in 2 Gy fractions, while Arm 3 will receive an additional boost to the hypoxic sub-volumes, delivering a total of 80 Gy (Phase 2). All patients in Arms 2 and 3 will also receive concurrent chemotherapy with cisplatin. Patients will be monitored weekly for treatment tolerance, with acute adverse events recorded according to National Cancer Institute Common Terminology Criteria for Adverse Events v5.0. The primary endpoint is LRC, defined as the time from randomisation to the first histopathologically confirmed relapse of locoregional disease. Secondary endpoints include OS, locoregional relapse-free survival, acute and late toxicity and patient-reported outcomes assessed using the European Organisation for Research and Treatment of Cancer QLQ-C30 and QLQ-H&N35 questionnaires. Discussion: This study addresses a critical gap in the management of HNC by targeting hypoxic regions within tumours, potentially improving LRC and, consequently, OS. The use of [18F] FMISO PET CT for identifying hypoxic sub-volumes allows for tailored radiation dose escalation, which could overcome the radioresistance associated with hypoxia. By comparing outcomes among standard radiotherapy (Arm 2) and dose-escalated treatment (Arm 3), this trial aims to establish a more effective therapeutic strategy for HNC patients. Trial registration: This trial is registered with the Clinical Trials Registry of India (CTRI/2024/04/065373), registered on 08

Indexed as

dose escalationFMISOHNSCChypoxiaIMRTradiotherapy

Identifiers

PMID40949474
PMCPMC12426500

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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.