Evidence map›Paper›PMID 27897274›Full record

ArticleActa otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale2017

Modelling tumour volume variations in head and neck cancer: contribution of magnetic resonance imaging for patients undergoing induction chemotherapy.

N Dinapoli, T Tartaglione, F Bussu, R Autorino, F Miccichè, M Sciandra, E Visconti, C Colosimo, G Paludetti, V Valentini

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Article in Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

N DinapoliInstitute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy.
T TartaglioneInstitute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy.
F BussuInstitute of Otolaryngology, Università Cattolica del Sacro Cuore, Rome, Italy.
R AutorinoInstitute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy.
F MiccichèInstitute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy.
M SciandraInstitute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy.
E ViscontiInstitute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy.
C ColosimoInstitute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy.
G PaludettiInstitute of Otolaryngology, Università Cattolica del Sacro Cuore, Rome, Italy.
V ValentiniInstitute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary tumour volume evaluation has predictive value for estimating survival outcomes. Using volumetric data acquired by MRI in patients undergoing induction chemotherapy (IC) these outcomes were estimated before the radiotherapy course in head and neck cancer (HNC) patients. MRI performed before and after IC in 36 locally advanced HNC patients were analysed to measure primary tumour volume. The two volumes were correlated using the linear-log ratio (LLR) between the volume in the first MRI and the volume in the second. Cox's proportional hazards models (CPHM) were defined for loco-regional control (LRC), disease-free survival (DFS) and overall survival (OS). Strict evaluation of the influence of volume delineation uncertainties on prediction of final outcomes has been defined. LLR showed good predictive value for all survival outcomes in CPHM. Predictive models for LRC and DFS at 24 months showed optimal discrimination and prediction capability. Evaluation of primary tumour volume variations in HNC after IC provides an example of modelling that can be easily used even for other adaptive treatment approaches. A complete assessment of uncertainties in covariates required for running models is a prerequisite to create reliable clinically models.

Indexed as

Computer SimulationInduction ChemotherapyMagnetic Resonance ImagingTumor BurdenHead and Neck NeoplasmsHumansRetrospective StudiesHead and neck cancerInduction chemotherapyMagnetic resonance imagingSurvival modelling

Identifiers

PMID27897274
PMCPMC5384316

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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.