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.

由于全身治疗的改善和癌症患者生存率的提高，脑转移 (BM) 发病率迅速增加，脑转移管理策略已从全脑照射发展到局部多疗程 SRS。这种演变需要针对多个 BM 和治疗随访进行轮廓和分布式 SRS 规划，并且对护理团队的时间、精力和经验提出了很高的要求，给临床医生造成了沉重的负担。自动化、有效且高效的工具尚未满足临床需求。