Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with <sup>18</sup>F-PSMA-1007 PET: comparison among different volume segmentation thresholds.

Yao, Fei; Bian, Shuying; Zhu, Dongqin; Yuan, Yaping; Pan, Kehua; Pan, Zhifang; Feng, Xianghao; Tang, Kun; Yang, Yunjun

Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with ¹⁸F-PSMA-1007 PET: comparison among different volume segmentation thresholds.

Yao, Fei; Bian, Shuying; Zhu, Dongqin; Yuan, Yaping; Pan, Kehua; Pan, Zhifang; Feng, Xianghao; Tang, Kun; Yang, Yunjun.

Afiliación

Yao F; The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Bian S; The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Zhu D; The Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Yuan Y; The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Pan K; The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Pan Z; The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Feng X; Renji College, Wenzhou Medical University, Wenzhou, 325000, China.
Tang K; The Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China. kuntang007@163.com.
Yang Y; The Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China. yyjunjim@163.com.

Radiol Med ; 127(10): 1170-1178, 2022 Oct.

Article en En | MEDLINE | ID: mdl-36018488

Asunto(s)

Neoplasias Primarias Múltiples; Neoplasias de la Próstata; Radioisótopos de Flúor; Humanos; Aprendizaje Automático; Masculino; Niacinamida/análogos & derivados; Oligopéptidos; Tomografía Computarizada por Tomografía de Emisión de Positrones; Próstata; Antígeno Prostático Específico; Neoplasias de la Próstata/diagnóstico por imagen

Palabras clave

Machine learning; PET; PSMA-1007; Prostate cancer; Radiomics

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Neoplasias Primarias Múltiples Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Radiol Med Año: 2022 Tipo del documento: Article País de afiliación: China

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