Evidence map›Paper›PMID 30223802›Full record

Trial reportBMC cancer2018

EXclusion of non-Involved uterus from the Target Volume (EXIT-trial): an individualized treatment for locally advanced cervical cancer using modern radiotherapy and imaging techniques.

Katrien Vandecasteele, Philippe Tummers, Mieke Van Bockstal, Pieter De Visschere, Tom Vercauteren, Werner De Gersem, Hannelore Denys, Eline Naert, Amin Makar, Wilfried De Neve

Registry-linked trialAbstract readClinical Trial, Phase II
In one paragraph

Trial report in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03542942 (Exclusion of Non-involved Uterus Form the Target Volume), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT03542942 nacompletednot on this map

Exclusion of Non-involved Uterus Form the Target Volume: an Individualized Treatment for Locally Advanced Cervical Cancer Using Modern Radiotherapy and Imaging Techniques

TypeinterventionalSponsorUniversity Hospital, GhentRan2016 to 2020Enrolled21ConditionsUterine Cervical NeoplasmsArmstreatment with EXIT-target volume
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Katrien VandecasteeleRadiation Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium. katrien.vandecasteele@uzgent.be.ORCID http://orcid.org/0000-0002-7221-0811
Philippe TummersGynaecologic Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Mieke Van BockstalPathology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Pieter De VisschereRadiology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Tom VercauterenRadiation Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Werner De GersemRadiation Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Hannelore DenysMedical Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Eline NaertMedical Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Amin MakarGynaecologic Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Wilfried De NeveRadiation Oncology, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDefinitive chemoradiotherapy is standard of care in locally advanced cervical cancer (LACC). Both toxicity and local relapse remain major concerns in this treatment. We hypothesize that a magnetic resonance imaging (MRI) based redefining of the radiotherapeutic target volume will lead to a reduction of acute and late toxicity. In our center, chemoradiotherapy followed by hysterectomy was implemented successfully in the past. This enables us to assess the safety of reducing the target volume but also to explore the biological effects of chemoradiation on the resected hysterectomy specimen.

methodsThe EXIT-trial is a phase II, single arm study aimed at LACC patients. This study evaluates whether a MRI-based exclusion of the non-tumor-bearing parts of the uterus out of the target volume results in absence of tumor in the non-high doses irradiated part of the uterus in the hysterectomy specimen. Secondary endpoints include a dosimetric comparison of dose on normal tissue when comparing study treatment plans compared to treatment of the whole uterus at high doses; acute and chronic toxicity, overall survival, local relapse- and progression-free survival. In the translational part of the study, we will evaluate the hypothesis that the baseline apparent diffusion coefficient (ADC) values of diffusion weighted MRI and its evolution 2 weeks after start of CRT, for the whole tumor as well as for intra-tumoral regions, is prognostic for residual tumor on the hysterectomy specimen. DISCUSSION: Although MRI is already used to guide target delineation in brachytherapy, the EXIT-trial is the first to use this information to guide target delineation in external beam radiotherapy. Early therapy resistance prediction using DW-MRI opens a window for early treatment adaptation or further dose-escalation on tumors/intratumoral regions at risk for treatment failure.

trial registrationBelgian Registration: B670201526181 (prospectively registered, 26/11/2015); ClinicalTrials.gov Identifier: NCT03542942 (retrospectively registered, 17/5/2018).

Indexed as

AdultAgedDiffusion Magnetic Resonance ImagingDisease-Free SurvivalFemaleHumansHysterectomyMiddle AgedNeoplasm Recurrence, LocalNeoplasm, ResidualPrognosisUterine Cervical NeoplasmsUterusApparent diffusion coefficientDiffusion weighted MRILocally advanced cervical cancerTarget volumeUterus

Identifiers

PMID30223802
PMCPMC6142314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.