Clinical application of 18F-fluorodeoxyglucose positron emission tomography/computed tomography radiomics-based machine learning analyses in the field of …
M Nakajo, M Jinguji, S Ito, A Tani, M Hirahara… - Japanese Journal of …, 2024 - Springer
Abstract Machine learning (ML) analyses using 18F-fluorodeoxyglucose (18F-FDG) positron
emission tomography (PET)/computed tomography (CT) radiomics features have been …
emission tomography (PET)/computed tomography (CT) radiomics features have been …
Multicentric development and evaluation of [18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung …
F Lucia, T Louis, F Cousin, V Bourbonne… - European Journal of …, 2024 - Springer
Purpose To develop machine learning models to predict regional and/or distant recurrence
in patients with early-stage non-small cell lung cancer (ES-NSCLC) after stereotactic body …
in patients with early-stage non-small cell lung cancer (ES-NSCLC) after stereotactic body …
Radiotherapy modification based on artificial intelligence and radiomics applied to (18F)-fluorodeoxyglucose positron emission tomography/computed tomography
F Lucia, P Lovinfosse, U Schick, R Le Pennec… - Cancer …, 2023 - Elsevier
Over the last decades, the refinement of radiation therapy techniques has been associated
with an increasing interest for individualized radiation therapy with the aim of increasing or …
with an increasing interest for individualized radiation therapy with the aim of increasing or …
Combined clinical variable and radiomics of post-treatment total body scan for prediction of successful I-131 ablation in low-risk papillary thyroid carcinoma patients
M Chantadisai, J Wongwijitsook, N Ritlumlert… - Scientific Reports, 2024 - nature.com
To explore the feasibility of combined radiomics of post-treatment I-131 total body scan
(TBS) and clinical parameter to predict successful ablation in low-risk papillary thyroid …
(TBS) and clinical parameter to predict successful ablation in low-risk papillary thyroid …
基于18F-FDG PET/CT 影像组学模型预测局部晚期宫颈癌的放疗敏感性
陈小霞， 蓝颖， 吴能娴， 宋红林 - 中国癌症防治杂志, 2023 - zgazfz.com
目的构建基于18FFDG PET/CT 图像的影像组学模型, 并分析其预测局部晚期宫颈癌(locally
advanced cervical cancer, LACC) 放疗敏感性的效能. 方法收集2018 年1 月至2022 年12 …
advanced cervical cancer, LACC) 放疗敏感性的效能. 方法收集2018 年1 月至2022 年12 …
[PDF][PDF] Maythinee Chantadisai, Jirarot Wongwijitsook 2, 3, Napat Ritlumlert 4, 5, 6 &
Y Rakvongthai - Scientific Reports, 2024 - researchgate.net
To explore the feasibility of combined radiomics of post‑treatment I‑131 total body scan
(TBS) and clinical parameter to predict successful ablation in low‑risk papillary thyroid …
(TBS) and clinical parameter to predict successful ablation in low‑risk papillary thyroid …
Controversy in the initial nodal staging of rectal cancer (MRI or PET/CT?)
EL Llobet, MC Poggio, CL Hernández… - Revista Española de …, 2024 - Elsevier
Objective To compare the usefulness of MRI and PET/CT in nodal staging (N) of patients
with locally advanced rectal cancer (LARC). Material and methods Retrospective study of …
with locally advanced rectal cancer (LARC). Material and methods Retrospective study of …
Controversia en la estadificación inicial ganglionar del cáncer de recto (¿ RM o PET/TC?)
EL Llobet, MC Poggio, CL Hernández… - Revista Española de …, 2024 - Elsevier
Antecedentes y objetivo Comparar la utilidad de la RM y la PET/TC en la estadificación
ganglionar (N) de pacientes con cáncer de recto localmente avanzado (CRLA). Material y …
ganglionar (N) de pacientes con cáncer de recto localmente avanzado (CRLA). Material y …
Radiochemotherapie des Zervixkarzinoms
A Sturdza, J Knoth - Die Onkologie, 2023 - Springer
Zusammenfassung Hintergrund Das lokal fortgeschrittene Zervixkarzinom ist eine
schwerwiegende Erkrankung, bei der eine interdisziplinäre Behandlung das Optimum …
schwerwiegende Erkrankung, bei der eine interdisziplinäre Behandlung das Optimum …
Development and validation of the integrative model and risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer …
MM Guy, Z Mao, Q Liu, N Li, Y Hao, T Zhang, B Cui… - 2024 - researchsquare.com
Development and validation of the integrative model and risk stratification based on deep
learning and radiomics to predict survival of advanced cervical cancer patients | Research …
learning and radiomics to predict survival of advanced cervical cancer patients | Research …