Evidence map›Paper›PMID 28983656›Full record

ArticleJournal of mathematical biology2018

A topological analysis of targeted In-111 uptake in SPECT images of murine tumors.

David B Damiano, Melissa R McGuirl

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

David B DamianoDepartment of Mathematics and Computer Science, College of the Holy Cross, Worcester, MA, USA. ddamiano@holycross.edu.ORCID 0000-0003-3578-0986
Melissa R McGuirlDivision of Applied Mathematics, Brown University, Providence, RI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-photon emission computed tomography images of murine tumors are interpreted as the values of functions on a three-dimensional domain. Motivated by Morse theory, the local maxima of the tumor image functions are analyzed. This analysis captures tumor heterogeneity that cannot be identified with standard measures. Utilizing decreasing sequences of uptake values to filter the images, a modified form of the standard persistence diagrams for 0-dimensional persistent homology as well as novel childhood diagrams are constructed. Applying statistical methods to time series of persistence and childhood diagrams detects heterogeneous uptake of radioactive antibody within tumors over time and distinguishes uptake in two groups of mice injected with different labeled antibodies.

Indexed as

AnimalsBiological Transport, ActiveCell Line, TumorComputational BiologyIndium RadioisotopesMathematical ConceptsMiceModels, BiologicalModels, StatisticalNeoplasms, ExperimentalRadiopharmaceuticalsSingle Photon Emission Computed Tomography Computed TomographyTomography, Emission-Computed, Single-PhotonIndium-111Indium RadioisotopesRadiopharmaceuticalsAntibody uptakeComputational topologyDrug targetingMathematical biologyPersistent homology

Identifiers

PMID28983656
PMCPMC5840271

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.