SBIR TOPIC 417: QUANTITATIVE IMAGING SOFTWARE TOOLS FOR CANCER DIAGNOSIS AND TREATMENT PLANNING

SBIR 主题 417：用于癌症诊断和治疗计划的定量成像软件工具

• 批准号: 10924835
• 负责人: HAO JIANG
• 金额: $ 199.03万
• 依托单位: NEURALRAD LLC
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-28 至 2025-08-27
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10924835
• 关键词: Address; Artificial Intelligence; Cancer Patient; Caring; Clinical; Cranial Irradiation; Detection; Early Diagnosis; Evolution; Feedback; Future; Incidence; Metastatic malignant neoplasm to brain; Patients; Performance; Phase; Small Business Innovation Research Grant; Software Tools; Time; Treatment outcome; brain size; cancer diagnosis; cancer therapy; commercialization; deep learning; experience; improved; outcome prediction; prototype; quantitative imaging; tool; treatment planning

With brain metastases (BMs) incidences rapidly increasing due to improved systemic treatment and cancer patients, survival, the BMs management strategies have evolved substantially from whole brain irradiation to localized multisession SRS. The evolution requires contouring and distributed SRS planning for multiple BMs and treatment followups and has put a high demand on care teams time, efforts, and experience, creating a heavy burden on clinicians. Automated, effective, and efficient tools are unmet clinical needs.

随着脑转移（BMS）的发病因素因全身治疗和癌症患者的改善而迅速增加，生存期，BMS管理策略已经从整个大脑照射到局部多功能SRS演变。进化需要对多个BMS和治疗随访的轮廓和分布式SRS计划，并且对护理团队的时间，努力和经验的需求很高，这给临床医生带来了沉重的负担。自动化，有效且有效的工具是未满足的临床需求。