Evidence map›Paper›PMID 28948442›Full record

ArticleLa Radiologia medica2018

Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers.

Rubina Manuela Trimboli, Marina Codari, Katia Khouri Chalouhi, Ileana Ioan, Giovanna Lo Bue, Arianna Ottini, Daniela Casolino, Luca Alessandro Carbonaro, Francesco Sardanelli

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Article in La Radiologia medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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

9 authors.

Rubina Manuela TrimboliIntegrative Biomedical Research PhD Program, Department of Biomedical Science for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133, Milan, Italy. rubina.trimboli@unimi.it.
Marina CodariUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Italy.
Katia Khouri ChalouhiPostgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy.
Ileana IoanPostgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy.
Giovanna Lo BuePostgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy.
Arianna OttiniUniversità degli Studi di Milano, Corso di Laurea in Medicina e Chirurgia, Via Festa del Perdono 7, 20122, Milan, Italy.
Daniela CasolinoMTS s.r.l.-Olea Medical e Vital Images Italian Distributor, via Morandi 2, 20077, Melegnano, Italy.
Luca Alessandro CarbonaroUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Italy.
Francesco SardanelliUnit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the correlation between enhancement parameters on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and pathologic prognostic factors in invasive breast cancers (BCs). MATERIALS AND

methodsA total of 25 invasive BCs were included: 22 invasive ductal, 2 invasive lobular and 1 invasive mucinous. The tumor volume was segmented using a semi-automatic software (Olea Sphere). The following voxel-wise enhancement parameters were extracted: (1) time to peak enhancement; (2) signal intensity at peak (SIP); (3) peak enhancement percentage (PEP); (4) post-initial enhancement percentage (PIEP). The following pathological prognostic factors were considered for potential correlation: tumor (pT) and nodal (pN) stage, grading, perivascular/perineural invasion, estrogen/progesterone receptor status, Ki-67 proliferation, and HER2 expression. Spearman and Pearson correlation coefficients were calculated according with type of variable and data distribution.

resultsTumor volume was 2.8 ± 2.0 cm

conclusionIn invasive BCs, DCE-MRI voxel-wise enhancement parameters correlated with HER2, pT, and pN.

Indexed as

Magnetic Resonance ImagingAdenocarcinoma, MucinousAgedAlgorithmsBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularContrast MediaFemaleHumansImage EnhancementMiddle AgedNeoplasm InvasivenessNeoplasm StagingPredictive Value of TestsPrognosisContrast MediaDynamic contrast-enhanced (DCE) MRIInvasive breast cancersPrognostic factorsVolume enhancement parameters

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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.