Evidence map›Paper›PMID 27164032›Full record

ArticleThe British journal of radiology2016

MRI sequences for the detection of individual lymph nodes in regional breast radiotherapy planning.

Tristan C F van Heijst, Bram van Asselen, Ruud M Pijnappel, Marissa Cloos-van Balen, Jan J W Lagendijk, Desirée van den Bongard, Mariëlle E P Philippens

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Article in The British journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

3 citing papers in PubMed.

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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

7 authors.

Tristan C F van Heijst1 Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands.ORCID http://orcid.org/0000-0001-8493-8247
Bram van Asselen1 Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands.
Ruud M Pijnappel2 Department of Radiology, University Medical Centre Utrecht, Utrecht, Netherlands.
Marissa Cloos-van Balen1 Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands.
Jan J W Lagendijk1 Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands.
Desirée van den Bongard1 Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands.
Mariëlle E P Philippens1 Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn regional radiotherapy (RT) for patients with breast cancer, lymph node (LN) targets are delineated on CT, defined by anatomical boundaries. By identifying individual LNs, MRI-based delineations may reduce target volumes and thereby toxicity. We optimized MRI sequences for this purpose. Our aim was to evaluate the techniques for LN delineation in RT planning.

methodsSupine MRI was explored at 1.5 T in RT position (arms in abduction). 5 MRI techniques were optimized in 10 and evaluated in 12 healthy female volunteers. The scans included one T1 weighted (T1w), three T2 weighted (T2w) and a diffusion-weighted imaging (DWI) technique. Quantitative evaluation was performed by scoring LN numbers per volunteer and per scan. Qualitatively, scans were assessed on seven aspects, including LN contrast, anatomical information and insensitivity to motion during acquisition.

resultsTwo T2w fast spin-echo (FSE) methods showed the highest LN numbers (median 24 axillary), high contrast, excellent fat suppression and relative insensitivity to motion during acquisition. A third T2w sequence and DWI showed significantly fewer LNs (14 and 10) and proved unsuitable due to motion sensitivity and geometrical uncertainties. T1w MRI showed an intermediate number of LNs (17), provided valuable anatomical information, but lacked LN contrast.

conclusionExplicit LN imaging was achieved, in supine RT position, using MRI. Two T2w FSE techniques had the highest detection rates and were motion insensitive. T1w MRI showed anatomical information. MRI enables direct delineation of individual LNs. ADVANCES IN KNOWLEDGE: Our optimized MRI scans enable accurate target definition in MRI-guided regional breast RT and development of personalized treatments.

Indexed as

Magnetic Resonance ImagingAdultBreastBreast NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansLymph NodesMiddle AgedRadiotherapy Planning, Computer-AssistedYoung Adult

Identifiers

PMID27164032
PMCPMC5257320

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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.