Evidence map›Paper›PMID 34054577›Full record

ArticleFrontiers in physiology2021

Loss of Mammographic Tissue Homeostasis in Invasive Lobular and Ductal Breast Carcinomas vs. Benign Lesions.

Evgeniya Gerasimova-Chechkina, Brian C Toner, Kendra A Batchelder, Basel White, Genrietta Freynd, Igor Antipev, Alain Arneodo, Andre Khalil

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 3 countries.

Evgeniya Gerasimova-ChechkinaLaboratory of Physical Foundations of Strength, Institute of Continuous Media Mechanics UB RAS, Perm, Russia.
Brian C TonerCompuMAINE Laboratory, University of Maine, Orono, ME, United States.
Kendra A BatchelderCompuMAINE Laboratory, University of Maine, Orono, ME, United States.
Basel WhiteCompuMAINE Laboratory, University of Maine, Orono, ME, United States.
Genrietta FreyndDepartment of Pathology, Perm State Medical University Named After Academician E. A. Wagner, Perm, Russia.
Igor AntipevDepartment of Pathology, Perm State Medical University Named After Academician E. A. Wagner, Perm, Russia.
Alain ArneodoLaboratoire Ondes et Matière d'Aquitaine, Universite de Bordeaux, Bordeaux, France.
Andre KhalilCompuMAINE Laboratory, University of Maine, Orono, ME, United States.
University of Maine · USPerm State Medical Academy · RUInstitute of Continuous Media Mechanics · RULaboratoire Ondes et Matière d'Aquitaine · FR

Funding

Multiscale anisotropy analysis of breast tissue subtypes from mammography and pathologyR15CA246335 · NCI · UNIVERSITY OF MAINE ORONO · PI KHALIL, ANDRE · 2020 to 2025
$859k
NCI NIH HHS R15 CA246335
6 · The paper itself

Abstract

The 2D wavelet transform modulus maxima (WTMM) method is used to perform a comparison of the spatial fluctuations of mammographic breast tissue from patients with invasive lobular carcinoma, those with invasive ductal carcinoma, and those with benign lesions. We follow a procedure developed and validated in a previous study, in which a sliding window protocol is used to analyze thousands of small subregions in a given mammogram. These subregions are categorized according to their Hurst exponent values (

Indexed as

breast densityfractalsHurst exponent (H)mammographymultifractalsRadiomicstissue homeostasiswavelets

Identifiers

PMID34054577
PMCPMC8153084
OpenAlexW3159518958

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.