Translational Plastic Surgery.

Format:

Book

Author/Creator:

Eltorai, Adam E. M.

Contributor:

Eltorai, Adam E.M.; Liu, Paul; Gong, Jung Ho; Kalliainen, Loree; Bakal, Jeffrey A.

Series:

Handbook for Designing and Conducting Clinical and Translational Research Series

Language:

English

Subjects (All):

Surgery, Plastic.

Physical Description:

1 online resource (1264 pages)

Edition:

1st ed.

Place of Publication:

Chantilly : Elsevier Science & Technology, 2026.

Summary:

Translational Plastic Surgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on plastic surgery, with input from a distinguished team of basic and clinical investigators.

Contents:

Front Cover

Translational Plastic Surgery

Handbook for Designing and Conducting Clinical and Translational Research

Copyright

Contents

Contributors

Foreword

Preface

I - Introduction

1 - Introduction

References

2 - The translational process

Key points

Why it matters

Translation from the laboratory to a clinical trial

Get started

Potential pitfalls

3 - The scientific method-updated to the 21st century

Introduction

The traditional scientific method

Systems biology approach

Integration of traditional and systems-based approaches

4 - Basic research

II - Pre-clinical

5 - Overview of preclinical research

Introductory section/why it matters

6 - What problem are you solving?

Identifying the research problem

Examples

Resources

7 - Introduction to drugs, devices, and testing

Models for testing a new drug or device

In vitro

Animal models

A model for translational wound-healing studies in the pig

Models to study muscle regeneration

Models to study bone regeneration

Conclusion

Examples of the described translational methodology

Testing of a novel NPWT system in a porcine model of full-thickness wounds

Testing of a topical antimicrobial in a porcine model of infected wounds

Testing of a skin expansion device in a porcine burn model

Getting started

Regulatory

Disclaimer

8 - Drug discovery in plastic surgery

Introduction.

Basic and fundamental research leads to target identification

Target identification and validation for a lead candidate

Preclinical development

Clinical trial development

FDA approval process

Artificial intelligence in drug discovery

Example: Becaplermin (PDGF) development to improve care for nonhealing ulcers

9 - Drug testing

Examples of …

Step 0-Discovery phase

Step 1-Preclinical studies

In vitro studies

In vivo studies

Step 2-Investigational new drug application

Step 3-Clinical studies

Step 4-New drug application

Biologic license application

10 - Device discovery and prototyping

Identification and discovery of a need

Inventing solutions and developing a prototype

Streamlined opportunities and integrated product development education

11 - Device testing

Classification of a medical device

Experimental design

Challenges of medical device testing

12 - Diagnostic discovery

Why it matters?

Part I-Vascular malformations

Background

Whole exome sequencing (WES)

Droplet digital PCR (ddPCR)

Clinical translation

Pitfalls

Part II-Breast implant-associated anaplastic large cell lymphoma

The goal of diagnostic discovery is to provide a solution to an unmet need or improve upon an existing technology

Prototyping (iterative refinement, optimization process)

Disciplines and common lab methods/techniques

Major areas of current investigation

Budgetary considerations and how to fund this stage

Additional readings.

Diagnostic laboratory supply companies and contractors

Grant information

13 - Diagnostic testing

13. Key points

Part I. Diagnostic testing, relevant statics, and regulatory considerations

Why do diagnostic tests matter?

Establishing the quality of a new diagnostic test

Regulatory classification

Part II. Diagnostic tests in the field of lymphedema and vascular anomalies

Lymphedema

Vascular anomalies

Published Literature

Definitions

14 - Other product types

15 - Procedural technique development

Stages of technique development

Stage 0 and 1: Proof of concept, innovation

Stage 2a: Defining and developing technique

Stage 2b: Early dissemination, exploration

Stage 3: Assessment, comparison with current standard

Stage 4: Long-term study of quality control, surveillance

Innovation and technique development in plastic surgery

Stage 0-1: Idea, proof of concept

Stage 2a: Development

Stage 2b: Exploration

Stage 3: Assessment

Stage 4: Long-term study

16 - Behavioral interventions

Stages of intervention development (according to the NIH)

Weight loss

Opioids

Smoking

17 - Artificial intelligence

Machine learning

Deep learning

Natural language processing

Ethical considerations

III - Clinical: Fundamentals

18 - Introduction to clinical research: What is it? Why is it needed?

Potential pitfalls.

Resources

19 - The question: Types of research questions and how to develop them

Where to start

From the idea to the question: Types of research questions

Descriptive research questions

Predictive research questions

Causal research questions

Structuring research questions

Examples of causal research questions in plastic and reconstructive surgery

20 - Study population: Who and why them?

21 - Outcome measures: What data are being collected and why?

Physician/hospital reported outcome measures

Large databases and outcomes research

Outcomes measures designed for research

Patient reported outcomes measures

Disease-specific PROMs

Domain-specific PROMs

Generic PROMs

22 - Optimizing the question: Balancing significance and feasibility

FINER method

PICO method

Case studies

IV - Statistical principles

23 - Common issues in analysis

Commonly misunderstood concepts

Limitations by study design

Appropriate and overstepping conclusions

24 - Distributions

Examples of distributions-As presented in the chapter

25 - Hypotheses and error types

Establishing the null and alternative hypotheses

Setting the significance level and exploring errors.

Estimating the test statistic

To reject or not to reject

Times are changing, significantly: Potential pitfalls

26 - Power

Chapter key points

Chapter text

Hypothesis testing

Statistical error

Statistical power

Statistical power analysis

Prospective power analyses

Retrospective power analyses

Performing a power analysis

Summary

Examples of power analysis

Resources/additional reading

Further reading

27 - Regression

28 - Continuous variable analysis: t-test, Mann-Whitney U, and Wilcoxon Rank

Student t-test, also known as a t-test

Subcategory: One sample

Subcategory: Two sample

Subcategory: Paired t-test

Variation: One-tailed versus two-tailed

Mann-Whitney U test (also known as Wilcoxon Rank-Sum test)

Wilcoxon signed-rank test

Summary of tests: Assumptions, test results, and interpretations

29 - Categorical variable analyses: Chi-square, Fisher exact, and Mantel-Haenszel tests

Categorical variables

Chi-squared test of independence and Fisher's exact test: How to calculate each and knowing which one to use?

The Mantel-Haenszel estimate …

Examples of categorical data analyses

Websites

Statistical software programs

30 - Analysis of variance

When to use an one-way ANOVA tests?

How does the ANOVA test work?

Assumptions of the ANOVA test

Understanding and reporting ANOVA test results

Post hoc testing-the Tukey test.

Examples of ANOVA in current plastic surgery literature.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-323-99812-7

0-323-91168-4

9780323998123

OCLC:

1570507402