Evidence map›Paper›PMID 37162899›Full record

ArticlebioRxiv : the preprint server for biology2023

Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery.

Zachary Harbin, David Sohutskay, Emma Vanderlaan, Muira Fontaine, Carly Mendenhall, Carla Fisher, Sherry Voytik-Harbin, Adrian Buganza Tepolea

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Zachary HarbinSchool of Mechanical Engineering Purdue University, West Lafayette, IN, USA.
David SohutskayWeldon School of Biomedical Engineering Purdue University, West Lafayette, IN, USA.
Emma VanderlaanWeldon School of Biomedical Engineering Purdue University, West Lafayette, IN, USA.
Muira FontaineWeldon School of Biomedical Engineering Purdue University, West Lafayette, IN, USA.
Carly MendenhallSchool of Mechanical Engineering Purdue University, West Lafayette, IN, USA.
Carla FisherIndiana University School of Medicine, Indianapolis, IN, USA.
Sherry Voytik-HarbinWeldon School of Biomedical Engineering Purdue University, West Lafayette, IN, USA.
Adrian Buganza TepoleaSchool of Mechanical Engineering Purdue University, West Lafayette, IN, USA.
Purdue University West Lafayette · USIndiana University School of Medicine

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Medical Scientist/Engineer Training ProgramT32GM077229 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI GASTON, BENJAMIN, HERBERT, BRITTNEY-SHEA · 2008 to 2022
$6.0M
Indiana Medical Scientist/Engineer Training ProgramT32GM148382 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Benjamin Gaston, Emily K Sims · 2023 to 2026
$3.9M
Long-term non-enzymatic glucose sensor for an artificial pancreasR44DK101000 · NIDDK · PROFUSA, INC. · PI WISNIEWSKI, NATALIE ANN · 2016 to 2017
$1.5M
Late stage development and preparation of a long-term non-enzymatic continuous glucose sensor for clinical trialsSB1DK101000 · NIDDK · PROFUSA, INC. · PI GAMSEY, SOYA, REBRIN, KERSTIN · 2018 to 2019
$962k
Long-Term Non-Enzymatic Glucose Sensors for an Artificial PancreasR43DK101000 · NIDDK · PROFUSA, INC. · PI WISNIEWSKI, NATALIE ANN · 2013 to 2014
$252k
NCATS NIH HHS UL1 TR002529NIDDK NIH HHS R43 DK101000NIDDK NIH HHS R44 DK101000NIDDK NIH HHS SB1 DK101000NIGMS NIH HHS T32 GM077229NIGMS NIH HHS T32 GM148382
6 · The paper itself

Abstract

Breast cancer is the most commonly diagnosed cancer type worldwide. Given high survivorship, increased focus has been placed on long-term treatment outcomes and patient quality of life. While breast-conserving surgery (BCS) is the preferred treatment strategy for early-stage breast cancer, anticipated healing and breast deformation (cosmetic) outcomes weigh heavily on surgeon and patient selection between BCS and more aggressive mastectomy procedures. Unfortunately, surgical outcomes following BCS are difficult to predict, owing to the complexity of the tissue repair process and significant patient-to-patient variability. To overcome this challenge, we developed a predictive computational mechanobiological model that simulates breast healing and deformation following BCS. The coupled biochemical-biomechanical model incorporates multi-scale cell and tissue mechanics, including collagen deposition and remodeling, collagen-dependent cell migration and contractility, and tissue plastic deformation. Available human clinical data evaluating cavity contraction and histopathological data from an experimental porcine lumpectomy study were used for model calibration. The computational model was successfully fit to data by optimizing biochemical and mechanobiological parameters through the Gaussian Process. The calibrated model was then applied to define key mechanobiological parameters and relationships influencing healing and breast deformation outcomes. Variability in patient characteristics including cavity-to-breast volume percentage and breast composition were further evaluated to determine effects on cavity contraction and breast cosmetic outcomes, with simulation outcomes aligning well with previously reported human studies. The proposed model has the potential to assist surgeons and their patients in developing and discussing individualized treatment plans that lead to more satisfying post-surgical outcomes and improved quality of life.

Identifiers

PMID37162899
PMCPMC10168325
OpenAlexW4367301949

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.