核医学物理研究所将在第66届AAPM年会上展示多项放射治疗研究成果

中国科学技术大学核医学物理研究所的研究团队将在2024年7月21日至25日于洛杉矶举办的第66届美国医学物理学家协会(AAPM)年会暨展览会上展示一系列创新性放射治疗研究成果。此次会议将汇集全球医学物理领域的顶尖专家，共同探讨学科前沿进展。

中国科大核医学物理研究所共提交14篇摘要，涵盖了放射治疗剂量计算、治疗计划与验证、自适应放射治疗、质量保证、核素治疗和CT成像剂量学等多个方面。AAPM投稿接受率每年都很低，但小组今年投稿摘要全部被接收，其中有5个口头报告和9个海报，其中研究“Preliminary demonstration of real-time Monte Carlo multi-particle dose engine through AI-based denoising and GPU dose simulation for radiotherapy planning and verification”入围“James R. Cameron Early-Career Investigator Symposium (ECIS)”最佳论文，将在会议期间与其他优秀论文比赛。这些成绩表明团队在医学物理领域研究的水平得到世界同行的认可。

投稿的14篇摘要详细信息见下表。

入选类别	论文题目	作者
JOHN R. CAMERON EARLY-CAREER INVESTIGATOR SYMPOSIUM FINALIST ORAL PRESENTATION	Preliminary demonstration of real-time Monte Carlo multi-particle dose engine through AI-based denoising and GPU dose simulation for radiotherapy planning and verification	Chang YK, Wang XH, Wang RP, Li SJ, Wu J, Cheng B, Ye ZR, Pei X, Zhao JF, Xu XG.
ORAL PRESENTATION in the Scientific Session Adaptive Radiotherapy	A prior-information-based automatic segmentation method for the clinical target volume in adaptive radiotherapy	Wang XH, Chang YK, Pei X, Xu XG.
ORAL PRESENTATION in the Scientific Session Advances in Therapy QA and Delivery Verification	A Monte Carlo-based in-vivo QA method with EPID transit dosimetry	Cheng B, Zhang K, Gao N, Ren Q, Li SJ, Pei X, Wu XY, Xu XG.
SNAP ORAL PRESENTATION in the session Dosimetry	CT Organ Doses for 10,000 Subjects Using Automatic Multiorgan Segmentation and Real-Time Monte Carlo Dose Computing	Ye ZR, Yao B, Zheng HR, Tao L, Wang RP, Chang YK, Pei X, Chen Z, Xu XG.
SNAP ORAL PRESENTATION in the session Advances in Dosimetry	A Novel Flexible Scintillator Dosimeter for High-Energy Radiotherapy: Fabrication and Characterization	Gao N, Tang YJ, Huang ZM, Zhang SY, Zhou JP, Zhang YR, Chang YK, Pei X, Zhu BW, Xiao ZG, Xu XG.
General Poster Discussion (Group A)	Rigid registration guided two-stage auto-segmentation method for clinical target volume of cervical cancer in adaptive radiotherapy	Chang YK, Wang XH, Pei X, Xu XG.
General Poster Discussion (Group B)	Clinical Intra-fractional Evaluation of CBCT guided online adaptive radiotherapy for cervical cancer	Chang YK, Xu XG, Pei X, Wang GY, Wang XH.
BLUE RIBBON POSTER PRESENTATION	Using real time Monte Carlo dose computing and EPID data to reconstruct patient 3D dose distributions for radiotherapy QA	Gao N, Cheng B, Wang Z, Li DD, Chang YK, Pei X, Xu XG.
General Poster Discussion (Group A)	A Fast and Accurate Monte Carlo Dose Engine for Helium Ion Therapy	Li SJ, Gao N, Cheng B, Liu JY, Chang YK, Pei X, Xu XG.
General Poster Discussion (Group A)	A Novel Real-Time Monte Carlo Engine for Proton Therapy with Simulation Time Less than 0.2 Seconds	Li SJ, Zhao JF, Wang XH, Wang RP, Chang YK, Pei X, Xu XG.
General Poster Discussion (Group A)	Monte Carlo Study of a New Beta Emitter Skin Conformal Brachytherapy Applicator: Effects of Geometric Setups of Multiwell Applicator on Dose Distribution	Liu JY, Zhang H, Chang YK, Pei X, Xu XG.
General Poster Discussion (Group B)	A GPU-Accelerated Monte Carlo Method for BNCT Dose Calculations	Wang YX, Li SJ, Wu J, Ye ZR, Tao L, Pei X, Xu XG.
GENERAL POSTER VIEWING PRESENTATION in the Therapy General Poster Viewing	GPU-accelerated Monte Carlo study of the Application of the Novel Superficial X-Ray Radiotherapy Filters	Zhang H, Tao L, Chang YK, Pei X, Xu XG.
GENERAL POSTER VIEWING PRESENTATION in the Therapy General Poster Viewing	An automatic iterative commissioning method based on LINAC virtual source model for Monte Carlo dose verification	Cheng B, Li SJ, Pei X, Ye ZR, Ren Q, Xu XG.

中国科大核医学物理研究所长期致力于放射治疗领域的科学研究和技术开发。此次在AAPM年会上展示的多项研究成果，得益于团队与国内高校和知名医院单位的深度合作，体现了团队在放射治疗领域的技术实力和创新能力。未来，我们将继续加强与国内外同行合作，推动放射治疗技术的进步，为肿瘤患者提供更精准、更有效的治疗方案。