Evidence map›Paper›PMID 23936841›Full record

ArticleBioMed research international2013

Diffusion-weighted magnetic resonance application in response prediction before, during, and after neoadjuvant radiochemotherapy in primary rectal cancer carcinoma.

Daniela Musio, Francesca De Felice, Anna Lisa Magnante, Maria Ciolina, Carlo Nicola De Cecco, Marco Rengo, Adriano Redler, Andrea Laghi, Nicola Raffetto, Vincenzo Tombolini

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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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.

Daniela MusioDepartment of Radiotherapy, Policlinico Umberto I Sapienza University of Rome, Rome, Italy. daniela.musio@libero.it
Francesca De Felice
Anna Lisa Magnante
Maria Ciolina
Carlo Nicola De Cecco
Marco Rengo
Adriano Redler
Andrea Laghi
Nicola Raffetto
Vincenzo Tombolini
Policlinico Umberto I · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOur interest was to monitor treatment response using ADC value to predict response of rectal tumour to preoperative radiochemotherapy. MATERIALS AND

methodsTwenty-two patients were treated with long course of radiochemotherapy, followed by surgery. Patients were examined by diffusion-weighted imaging MRI at three-time points (prior, during, and after radiochemotherapy) and were classified as responders and nonresponders.

resultsA statistical significant correlation was found between preradiochemotherapy ADC values and during treatment ADC values, in responders (F = 21.50, P value <0.05). An increase in ADC value during treatment was predictive of at least a partial response. DISCUSSION: Response of tumour to neoadjuvant therapy cannot be easily evaluated, and such capability might be of great importance in clinical practice, because the number of irradiated and operated patients may be superior to the number of who will really benefit from this multimodal treatment. A reliable prediction of the final clinical TN stage would allow radiotherapist to adapt multidisciplinary approach to a less invasive management, sparing surgical procedure in responder patients or even allowing an early surgery in nonresponders, which would significantly reduce radiochemotherapy related toxicity. Conclusion. Early evaluation of response during neoadjuvant radiochemotherapy treatment shows great promise to predict tumour response.

Indexed as

Diagnostic ImagingDiffusion Magnetic Resonance ImagingAgedAged, 80 and overCarcinomaChemoradiotherapy, AdjuvantFemaleHumansMaleMiddle AgedRadiographyRectal NeoplasmsTreatment Outcome

Identifiers

PMID23936841
PMCPMC3722900
OpenAlexW2004427584

What OpenQuestion holds

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Registered trials

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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.