Evidence map›Paper›PMID 29641224›Full record

ArticleThe British journal of radiology2018

Breast cancer: influence of tumour volume estimation method at MRI on prediction of pathological response to neoadjuvant chemotherapy.

Shelley A Henderson, Nazleen Muhammad Gowdh, Colin A Purdie, Lee B Jordan, Andrew Evans, Tracy Brunton, Alastair M Thompson, Sarah Vinnicombe

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Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  10. The additive role ofPolish journal of radiology · 2019
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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

8 authors.

Shelley A Henderson1 Department of Medical Physics, Ninewells Hospital , Dundee , UK.
Nazleen Muhammad Gowdh2 Department of Radiology, Aberdeen Royal Infirmary , Aberdeen , UK.
Colin A Purdie3 Department of Pathology, Ninewells Hospital , Dundee , UK.
Lee B Jordan3 Department of Pathology, Ninewells Hospital , Dundee , UK.
Andrew Evans4 Division of Imaging and Technology, University of Dundee , Dundee , UK.
Tracy Brunton5 MRI Department, Clinical Research Centre, University of Dundee , Dundee , UK.
Alastair M Thompson6 Department of Breast Surgical Oncology, University of Texas MD Anderson Cancer Center , Houston, TX , USA.
Sarah Vinnicombe4 Division of Imaging and Technology, University of Dundee , Dundee , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDoes method of tumour volume measurement on MRI influence prediction of treatment outcome in patients with primary breast cancer undergoing neoadjuvant chemotherapy (NAC)?.

methodThe study comprised of 136 women with biopsy-proven breast cancer scheduled for MRI monitoring during NAC treatment. Dynamic contrast-enhanced images were acquired at baseline (pre-NAC) and interim (post three NAC cycles) time points. Functional tumour volumes (FTVs), automatically derived using vendor software and enhancing tumour volumes (ETVs), user-derived using a semi-automated thresholding technique, were calculated at each time point and percentage changes calculated. Response, assessed using residual cancer burden (RCB) score on surgically resected specimens, was compared statistically with volumetric changes and receiver operating characteristic analysis performed.

resultsMean volumetric differences for each RCB response category were (FTV/ETV): pathological complete response (pCR) 95.5/96.8%, RCB-I 69.8/66.7%, RCB-II 64.0/65.5%, RCB-III 25.4/24.0%. Differences were significant between pCR and RCB-II/RCB-III categories (p < 0.040; unpaired t-test) using FTV measures and between pCR and RCB-I/RCB-II/RCB-III categories (p < 0.006; unpaired t-test) when ETV was used. Receiver operating characteristic analysis for pCR identification post-NAC yielded area under the curve for FTV/ETV of 0.834/0.920 respectively. Sensitivity and specificity for FTV was 80.0 and 76.8% for FTV and 81.0 and 91.8% for ETV.

conclusionETV changes can identify patients likely to achieve a complete response to NAC. Potentially, this could impact patient management regarding the possible avoidance of post-NAC surgery. Advances in Knowledge: Interim changes in ETV are more useful than FTV in predicting final pathological response to NAC. ETV differentiates patients who will achieve a complete response from those who will have residual disease.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsNeoadjuvant TherapyAdultAgedBreast NeoplasmsContrast MediaCyclophosphamideDocetaxelEpirubicinFemaleFluorouracilHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMeglumineMiddle AgedContrast MediaCyclophosphamideDocetaxelEpirubicinFluorouracilgadoterate meglumineMeglumineOrganometallic CompoundsTaxoidsTrastuzumab

Identifiers

PMID29641224
PMCPMC6221785

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.