서브메뉴
검색
Novel Frameworks for Understanding Esophageal Mechanophysiology
Novel Frameworks for Understanding Esophageal Mechanophysiology
Detailed Information
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152023
- ISBN
- 9798384019022
- DDC
- 620.8
- 저자명
- Elisha, Guy.
- 서명/저자
- Novel Frameworks for Understanding Esophageal Mechanophysiology
- 발행사항
- [Sl] : Northwestern University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 265 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
- 주기사항
- Advisor: Patankar, Neelesh A.
- 학위논문주기
- Thesis (Ph.D.)--Northwestern University, 2024.
- 초록/해제
- 요약Esophageal motility disorders (EMDs) affect a significant portion of the population, yet their mechanisms and progression remain poorly understood, impeding the development of effective treatments. By establishing a comprehensive, mechanics-based understanding of esophageal functions and dysfunctions, we can advance classification and enhance diagnostic capabilities of EMDs. This thesis proposes two novel frameworks to analyze clinical observations and reveal the complex interactions within esophageal physiology. The aim of this work is to pioneer a new area of investigation in esophagology that is based on mechanophysiology. The first framework, termed the Pressure-Cross-Sectional Area (P-CSA) Analysis, is inspired by cardiovascular literature, where pressure-volume (P-V) hysteresis of the left ventricle is used to evaluate cardiac performance. Analogous to the construction of P-V loops in cardiac physiology, the P-CSA framework involves recording and plotting the pressure inside the esophagus and lumen area of the esophagus throughout an esophageal contractile cycle. By extending the principles used for the heart to esophageal physiology, the goal of this framework is to evaluate, quantify, and characterize normal and abnormal esophageal performance. The second framework addresses the underlying mechanisms of EMDs, which are neurologically mediated mechanical dysfunctions. An understanding of how neurological disorders lead to mechanical dysfunctions of the esophagus requires knowledge of the neural circuit of the enteric nervous system. Historically, this has been elusive. Through an organ-scale neuromechanical model, this framework reveals how aberrant neural circuitry influences esophageal contraction patterns, providing insights crucial for the development of targeted pharmacological interventions. This dissertation lays the foundation for a novel approach in esophagology, integrating mechanophysiological principles to develop the first mechanics-guided disease classification and diagnostic protocol for EMDs. By bridging the gap between clinical observations and mechanistic understanding, the frameworks presented in this thesis pave the way for effective, mechanically and neurologically focused diagnostic and treatment strategies.
- 일반주제명
- Biomechanics
- 일반주제명
- Physiology
- 일반주제명
- Neurosciences
- 일반주제명
- Mechanical engineering
- 키워드
- Esophagus
- 키워드
- Neuromechanics
- 기타저자
- Northwestern University Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-02B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017162536
■00520250211152023
■006m o d
■007cr#unu||||||||
■020 ▼a9798384019022
■035 ▼a(MiAaPQ)AAI31332667
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a620.8
■1001 ▼aElisha, Guy.▼0(orcid)0000-0001-9590-7788
■24510▼aNovel Frameworks for Understanding Esophageal Mechanophysiology
■260 ▼a[Sl]▼bNorthwestern University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a265 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-02, Section: B.
■500 ▼aAdvisor: Patankar, Neelesh A.
■5021 ▼aThesis (Ph.D.)--Northwestern University, 2024.
■520 ▼aEsophageal motility disorders (EMDs) affect a significant portion of the population, yet their mechanisms and progression remain poorly understood, impeding the development of effective treatments. By establishing a comprehensive, mechanics-based understanding of esophageal functions and dysfunctions, we can advance classification and enhance diagnostic capabilities of EMDs. This thesis proposes two novel frameworks to analyze clinical observations and reveal the complex interactions within esophageal physiology. The aim of this work is to pioneer a new area of investigation in esophagology that is based on mechanophysiology. The first framework, termed the Pressure-Cross-Sectional Area (P-CSA) Analysis, is inspired by cardiovascular literature, where pressure-volume (P-V) hysteresis of the left ventricle is used to evaluate cardiac performance. Analogous to the construction of P-V loops in cardiac physiology, the P-CSA framework involves recording and plotting the pressure inside the esophagus and lumen area of the esophagus throughout an esophageal contractile cycle. By extending the principles used for the heart to esophageal physiology, the goal of this framework is to evaluate, quantify, and characterize normal and abnormal esophageal performance. The second framework addresses the underlying mechanisms of EMDs, which are neurologically mediated mechanical dysfunctions. An understanding of how neurological disorders lead to mechanical dysfunctions of the esophagus requires knowledge of the neural circuit of the enteric nervous system. Historically, this has been elusive. Through an organ-scale neuromechanical model, this framework reveals how aberrant neural circuitry influences esophageal contraction patterns, providing insights crucial for the development of targeted pharmacological interventions. This dissertation lays the foundation for a novel approach in esophagology, integrating mechanophysiological principles to develop the first mechanics-guided disease classification and diagnostic protocol for EMDs. By bridging the gap between clinical observations and mechanistic understanding, the frameworks presented in this thesis pave the way for effective, mechanically and neurologically focused diagnostic and treatment strategies.
■590 ▼aSchool code: 0163.
■650 4▼aBiomechanics
■650 4▼aPhysiology
■650 4▼aNeurosciences
■650 4▼aMechanical engineering
■653 ▼aEsophagus
■653 ▼aMechanophysiology
■653 ▼aNeuromechanics
■653 ▼aPressure-area hysteresis
■653 ▼aReduced order model
■690 ▼a0648
■690 ▼a0317
■690 ▼a0548
■690 ▼a0719
■71020▼aNorthwestern University▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-02B.
■790 ▼a0163
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162536▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
Preview
Export
ChatGPT Discussion
AI Recommended Related Books
Подробнее информация.
- Бронирование
- не существует
- моя папка
- Первый запрос зрения
- Non-Book Loan Application
- Nighttime Book Loan Application
Available after logging in.


