Evidence map›Paper›PMID 29853811›Full record

Trial reportContrast media & molecular imaging2018

Prediction of Chemoresistance in Women Undergoing Neo-Adjuvant Chemotherapy for Locally Advanced Breast Cancer: Volumetric Analysis of First-Order Textural Features Extracted from Multiparametric MRI.

M M Panzeri, C Losio, A Della Corte, E Venturini, A Ambrosi, P Panizza, F De Cobelli

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Contrast media & molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. The Application of Radiomics in Breast MRI: A Review.Technology in cancer research & treatment
    Review
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 at 2 institutions in 1 country.

M M PanzeriDepartment of Radiology, Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.ORCID 0000-0002-3492-3263
C LosioDepartment of Radiology, Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
A Della CorteDepartment of Radiology, Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
E VenturiniDepartment of Radiology, Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
A AmbrosiVita-Salute University, San Raffaele Scientific Institute, Milan, Italy.
P PanizzaDepartment of Radiology, Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
F De CobelliDepartment of Radiology, Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
IRCCS Ospedale San Raffaele · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To assess correlations between volumetric first-order texture parameters on baseline MRI and pathological response after neoadjuvant chemotherapy (NAC) for locally advanced breast cancer (BC). Materials and Methods: 69 patients with locally advanced BC candidate to neoadjuvant chemotherapy underwent MRI within 4 weeks from the start of therapeutic regimen. T2, DWI, and DCE sequences were analyzed and maps were generated for Apparent Diffusion Coefficient (ADC), T2 signal intensity, and the following dynamic parameters: Results: Out of 69 tumors, 33 (47.8%) achieved complete pathological response, 26 (37.7%) partial response, and 10 (14.5%) no response. Higher levels of AUCmax ( Conclusion: Histogram-derived texture analysis of MRI images allows finding quantitative parameters predictive of nonresponse to NAC in women affected by locally advanced BC.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmMagnetic Resonance ImagingNeoadjuvant TherapyAdultAgedAged, 80 and overContrast MediaFemaleHumansMiddle AgedRetrospective StudiesContrast Media

Identifiers

PMID29853811
PMCPMC5960544
OpenAlexW2799408473

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.