Tongue muscle function after cancer surgery using 4D MRI, DTI, and MR tagging

使用 4D MRI、DTI 和 MR 标记评估癌症手术后的舌肌功能

• 批准号: 9121528
• 负责人: Jerry L Prince
• 金额: $ 33.3万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-07 至 2020-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9121528
• 关键词: 4D MRI; Acoustics; Address; Aftercare; Algorithms; Anatomy; Behavior; Cancer Survivor; Cine Magnetic Resonance Imaging; Complex; Data; Data Analyses; Death Rate; Deglutition; Diagnosis; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Excision; Fatigue; Fiber; Financial compensation; Future; Geometry; Glossectomy; Health; Heart; Human Papillomavirus; Hydromorphone; Image; Image Analysis; Incidence; Investigation; Learning; Life; Magnetic Resonance Imaging; Malignant Neoplasms; Measurement; Measures; Meta-Analysis; Methods; Modeling; Morbidity - disease rate; Motion; Movement; Muscle; Muscle Fibers; Muscle function; Muscular Atrophy; National Cancer Institute; Operative Surgical Procedures; Oral cavity; Outcome; Outcome Measure; Patients; Pattern; Population; Quality of life; Radiation therapy; Reporting; Research; Resolution; Rest; Series; Side; Skeletal Muscle; Sleep Apnea Syndromes; Speech; Speech Intelligibility; Speech Therapy; Staging; Surface; Surgeon; Surgical Flaps; Techniques; Technology; Time; Tissues; Tongue; Tongue Neoplasms; Transplantation; Work; cancer surgery; cancer therapy; effective therapy; image processing; improved; in vivo; malignant mouth neoplasm; malignant tongue neoplasm; novel; programs; restraint; tumor; two-dimensional

 DESCRIPTION (provided by applicant): The National Cancer Institute estimates that over 42,000 people will be diagnosed with oral cancer and over 8,000 will die from this disease in 2014. Although these rates are low in comparison to many other cancers, unlike most other cancers the incidence of oral cancers-especially the human papillomavirus (HPV)-positive cancers-has been increasing. By some estimates there is as much as a five-fold increase in oral cancers just over the past decade. In the case of tongue cancer treatment through glossectomy (the surgical removal of part of the tongue including the cancer), which we focus on here, there is often significant post-treatment morbidity including difficulties in speech and swallowing and sleep apnea. Research connecting the tumor size and type of glossectomy surgery with tongue movement in speech after surgery has been ongoing for a number of years. These studies, most of which involve acoustic and speech intelligibility outcome measures, are beginning to reveal principles that can inform clinicians in developing optimal treatments. But very little information has been available relating tongue motion itself as an outcome, and when this is reported it almost exclusively reports measures derived from measurement of motion of the tongue surface, not its internal muscles. With advancements in technology we now have the opportunity to study the detailed patterns of tongue muscle motions in both normal controls and patients. By simultaneously analyzing data from cine magnetic resonance images, tagged magnetic resonance images, and diffusion magnetic resonance images, we will be able to observe patterns of activation throughout the tongue-observing and measuring a new type of functional connectivity-in order to better understand how patients compensate for muscle loss due to glossectomy. Specifically, we will: 1) Optimize acquisition of diffusion MRI imaging of in vivo tongue muscles; 2) Establish strain measures in the line of action of tongue muscle fibers using in vivo tagged MRI and diffusion MRI; 3) Develop models of functional connectivity in the tongue during speech; and 4) Assess tongue strategies in post-glossectomy speech. The ability of muscle fibers to create strain is crucial in the function of any muscle, but it is has not been possible to study this relationship in vivo in the past due to imaging constraints. The present research will enable simultaneous in vivo analysis in the complex muscle geometry of the tongue, a muscular hydrostat, possible for the first time. Through optimization of existing methods-both imaging and image analysis-we will enable a novel capability for the assessment of surgical outcomes in tongue cancer surgery. The study to be carried out on a spectrum of tongue cancer survivors will provide key information about the impact of tongue cancer treatment on speech, in order that significant morbidity might be avoided by modifying surgical practice or by engaging in specific speech therapies after surgery.