Cargando…

Development and External Validation of (18)F-FDG PET-Based Radiomic Model for Predicting Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer

SIMPLE SUMMARY: The pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) is a surrogate endpoint for predicting long-term clinical benefit in breast cancer. Recently, the use of radiomic features extracted from (18)F-FDG PET/CT has emerged as a promising tool for predicting treatm...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lim, Chae Hong, Choi, Joon Young, Choi, Joon Ho, Lee, Jun-Hee, Lee, Jihyoun, Lim, Cheol Wan, Kim, Zisun, Woo, Sang-Keun, Park, Soo Bin, Park, Jung Mi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417050/ https://www.ncbi.nlm.nih.gov/pubmed/37568658 http://dx.doi.org/10.3390/cancers15153842

Ejemplares similares

Prognostic value of (18)F-FDG PET and PET/CT for assessment of treatment response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis
por: Han, Sangwon, et al.
Publicado: (2020)

Prognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment (18)F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy
por: Hwang, Jae Pil, et al.
Publicado: (2022)

Multiparametric (18)F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Umutlu, Lale, et al.
Publicado: (2022)

Metabolic Radiomics for Pretreatment (18)F-FDG PET/CT to Characterize Locally Advanced Breast Cancer: Histopathologic Characteristics, Response to Neoadjuvant Chemotherapy, and Prognosis
por: Ha, Seunggyun, et al.
Publicado: (2017)

External validation of (18)F-FDG PET-based radiomic models on identification of residual oesophageal cancer after neoadjuvant chemoradiotherapy
por: Valkema, Maria J., et al.
Publicado: (2023)

Early response monitoring of neoadjuvant chemotherapy using [(18)F]FDG PET can predict the clinical outcome of extremity osteosarcoma
por: Lee, Inki, et al.
Publicado: (2020)

Radiomics Analysis of (18)F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery
por: Yoo, Jang, et al.
Publicado: (2023)

Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Using Convolutional Neural Network of Tumor Center (18)F-FDG PET Images
por: Kim, Jingyu, et al.
Publicado: (2021)

Utility of (18)F-FDG PET/CT for predicting pathologic complete response in hormone receptor-positive, HER2-negative breast cancer patients receiving neoadjuvant chemotherapy
por: Lee, In Hee, et al.
Publicado: (2020)

Predictive Value of (18)F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer
por: Yoo, Jang, et al.
Publicado: (2022)

The prognostic value of radiomic features from pre- and post-treatment (18)F-FDG PET imaging in patients with nasopharyngeal carcinoma
por: Kim, Soo Jeong, et al.
Publicado: (2023)

Prediction of Pathologic Grade and Prognosis in Mucoepidermoid Carcinoma of the Lung Using (18)F-FDG PET/CT
por: Park, Byungjoon, et al.
Publicado: (2015)

The role of histogram analysis of grayscale sonograms to differentiate thyroid nodules identified by (18)F-FDG PET-CT
por: Park, Ko Woon, et al.
Publicado: (2020)

Co-clinical FDG-PET radiomic signature in predicting response to neoadjuvant chemotherapy in triple-negative breast cancer
por: Roy, Sudipta, et al.
Publicado: (2021)

Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning
por: Choi, Joon Ho, et al.
Publicado: (2020)

Correction to: Co‑clinical FDG‑PET radiomic signature in predicting response to neoadjuvant chemotherapy in triple‑negative breast cancer
por: Roy, Sudipta, et al.
Publicado: (2021)

(18)F-FDG PET/CT in Primary AL Hepatic Amyloidosis Associated with Multiple Myeloma
por: Son, Youn Mi, et al.
Publicado: (2011)

Clinicopathologic parameters associated with the FDG-avidity in staging of early gastric cancer using (18)F-FDG PET
por: Yoon, Joon-Kee, et al.
Publicado: (2019)

Early Interim Chemotherapy Response Evaluation by F-18 FDG PET/CT in Diffuse Large B Cell Lymphoma
por: Park, Hye Lim, et al.
Publicado: (2020)

Characteristics of thyroid incidentalomas detected by pre-treatment [(18)F]FDG PET or PET/CT in patients with cervical cancer
por: Lee, Won-Moo, et al.
Publicado: (2012)

Value of [(18)F]FDG PET/CT radiomic parameters in the context of response to chemotherapy in advanced cervical cancer
por: Burchardt, Ewa, et al.
Publicado: (2023)

Comparison of FDG PET/CT and Bone Marrow Biopsy Results in Patients with Diffuse Large B Cell Lymphoma with Subgroup Analysis of PET Radiomics
por: Han, Eun Ji, et al.
Publicado: (2022)

(18)F-FDG PET versus (18)F-FDG PET/CT for Adrenal Gland Lesion Characterization: a Comparison of Diagnostic Efficacy in Lung Cancer Patients
por: Sung, Yon Mi, et al.
Publicado: (2008)

Early Assessment of Response to Neoadjuvant Chemotherapy with (18)F-FDG-PET/CT in Patients with Advanced-Stage Ovarian Cancer
por: Chung, Young Shin, et al.
Publicado: (2020)

Prognostic Significance of Metabolic Parameters by (18)F-FDG PET/CT in Thymic Epithelial Tumors
por: Lee, Joohee, et al.
Publicado: (2021)

Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with (18)F-FDG PET Radiomics Based Machine Learning Classification
por: Beukinga, Roelof J., et al.
Publicado: (2022)

Assessing radiomic feature robustness to interpolation in (18)F-FDG PET imaging
por: Whybra, Philip, et al.
Publicado: (2019)

Radiomic Features of (18)F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes
por: Zhou, Yeye, et al.
Publicado: (2021)

The Influence of the Exclusion of Central Necrosis on [(18)F]FDG PET Radiomic Analysis
por: Noortman, Wyanne A., et al.
Publicado: (2021)

Impact of (18)F-FDG PET, PET/CT, and PET/MRI on Staging and Management as an Initial Staging Modality in Breast Cancer: A Systematic Review and Meta-analysis
por: Han, Sangwon, et al.
Publicado: (2021)

Common features of F-18 FDG PET/CT findings in Scrub Typhus: prospective study before and after antibiotics therapy
por: Hwang, Joo-Hee, et al.
Publicado: (2019)

Pegfilgrastim for primary prophylaxis of febrile neutropenia in breast cancer patients undergoing TAC chemotherapy
por: Lee, Jihyoun, et al.
Publicado: (2018)

Monitoring tumor response to neoadjuvant chemotherapy using MRI and (18)F-FDG PET/CT in breast cancer subtypes
por: Schmitz, Alexander M. Th., et al.
Publicado: (2017)

Predicting Response to Neoadjuvant Chemotherapy Using 18F FDG PET-CT in Patients with Locally Advanced Breast Cancer
por: Hulikal, Narendra, et al.
Publicado: (2020)

Quantitative accuracy of radiomic features of low-dose (18)F-FDG PET imaging
por: Gao, Xin, et al.
Publicado: (2020)

Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules
por: de Koster, Elizabeth J., et al.
Publicado: (2022)

[(18)F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas
por: Noortman, Wyanne A., et al.
Publicado: (2022)

Primary Pulmonary Low-Grade Angiosarcoma Characterized by Mismatch between (18)F-FDG PET and Dynamic Contrast-Enhanced CT
por: Kim, Eun Young, et al.
Publicado: (2015)

Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on (18)F-FDG PET/CT radiomics
por: Xing, Haiqun, et al.
Publicado: (2021)

The role of (18)F-FDG PET/CT in patients with diffuse large B-cell lymphoma after radioimmunotherapy using (131)I-rituximab as consolidation therapy
por: Choi, Joon Ho, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_4adj7utl36spn06qj59ko8tnep