Evidence map›Paper›PMID 38822855›Full record

ArticleAbdominal radiology (New York)2024

Evaluation of treatment response by multiparametric MR imaging in locally advanced rectal tumors following neoadjuvant chemotherapy.

Murat Fidan, Mehmet Selim Nural, İlkay Çamlıdağ, Saim Savaş Yürüker, Bilge Can Meydan

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2024. 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

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Murat FidanDepartment of Radiology, Ordu Fatsa State Hospital, Evkaf, Hastane Yolu No:5, 52400, Fatsa/Ordu, Turkey.ORCID 0000-0002-0808-710X
Mehmet Selim NuralDepartment of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey.ORCID 0000-0002-2441-9565
İlkay ÇamlıdağDepartment of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey. ilkayozaydin@hotmail.com.ORCID 0000-0001-6151-1312
Saim Savaş YürükerDepartment of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey.
Bilge Can MeydanDepartment of Radiology, Ondokuz Mayıs University, 55210, Kurupelit/Samsun, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the effectiveness of multiparametric MRI examination in determining tumor response after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal tumors.

methods46 patients with locally advanced rectal adenocarcinoma were included and were divided into two groups as complete responders and nonresponders based on Mandard score. On MRI, relative T2w signal intensity and ADC values obtained before and after treatment and tumour volumes in dynamic contrast enhanced images (DCI) were used to determine complete response to treatment.

resultsThere were no significant differences between mean ADC values obtained by single slice ADC and three circular ROI methods. There were significant differences between two groups in terms of Post-CRT ADC value, ΔADC and %ΔADC obtained by whole tumour volume ADC method (p < 0.05). There were significant differences between Pre-CRT and Post-CRT volume values. ΔV DCI and %ΔV DCI, ΔV ADC and T2w volume values were significantly lower in complete responders (p < 0.05). In multivariate analysis, sensitivity and specificity were calculated as 88.9% and 91.9% (AUC = 0.943) when Post-CRT mean ADC value and Post-CRT DCI volume values were used together, and sensitivity and specificity were calculated as 88.9% and 94.6% (AUC = 0.949) when ΔADC and Post-CRT DCI volume values were used together.

conclusionWhole tumour volume mean ADC value is the most useful method to determine treatment response. Post-CRT DCI volume measurement stands out as the most useful method in assessing complete response alone. The highest diagnostic values are achieved when the post-CRT DCI volume is combined with the ADC change value of the whole tumor volume.

Indexed as

AdenocarcinomaChemoradiotherapy, AdjuvantDynamic Contrast Enhanced Magnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingNeoadjuvant TherapyRectal NeoplasmsTumor BurdenAgedArtifactsFemaleHumansMaleMiddle AgedNeoplasm StagingProspective StudiesRectumChemoradiotherapyLocally advanced rectal tumourMagnetic resonance imagingTreatment response

Identifiers

PMID38822855

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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.