Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.

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Tác giả: Ali Afshar-Oromieh, Julia Brosch-Lenz, Yizhou Chen, Matthias Eiber, Andrei Gafita, Carlos Vinícius Gomes, Jimin Hong, Jiaxi Hu, Thiago Viana Miranda Lima, Lorenzo Mercolli, Isabel Rauscher, Axel Rominger, Marc Ryhiner, Robert Seifert, Kuangyu Shi, Song Xue, Sibylle Ziegler

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: United States : Journal of nuclear medicine : official publication, Society of Nuclear Medicine , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 727302

Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practice in radiopharmaceutical therapy (RPT) compared with conventional multiple-time-point image-based dosimetry. Despite numerous advancements, current STP methods are limited by the need for strict and late timing in data acquisition, posing challenges in routine clinical settings. This study introduces a new concept of instant STP (iSTP) dosimetry, achieved by predicting the effective half-life (
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