Cargando…

Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer

INTRODUCTION: Improving the early prediction of neoadjuvant chemotherapy (NAC) efficacy in breast cancer can lead to an improved prediction of the final prognosis of patients, which would be useful for promoting individualized treatment. This study aimed to explore the value of the combination of dy...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liang, Xinhong, Chen, Xiaofeng, Yang, Zhiqi, Liao, Yuting, Wang, Mengzhu, Li, Yulin, Fan, Weixiong, Dai, Zhuozhi, Zhang, Yunuo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716688/ https://www.ncbi.nlm.nih.gov/pubmed/36460972 http://dx.doi.org/10.1186/s12885-022-10315-x

Ejemplares similares

Readout‐Segmented Echo‐Planar Diffusion‐Weighted MR Imaging Improves the Differentiation of Breast Cancer Receptor Statuses Compared With Conventional Diffusion‐Weighted Imaging
por: Zhong, Minghao, et al.
Publicado: (2022)

Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer
por: Surov, Alexey, et al.
Publicado: (2020)

Predictive value of apparent diffusion coefficient for neoadjuvant chemotherapy in locally advanced colorectal cancer patients
por: Liu, Zhaohui, et al.
Publicado: (2023)

Neoadjuvant chemotherapy induces an elevation of tumour apparent diffusion coefficient values in patients with ovarian cancer
por: Reijonen, Milja, et al.
Publicado: (2023)

Apparent Diffusion Coefficient Predicts Pathology Complete Response of Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy
por: Chen, Yuan-Gui, et al.
Publicado: (2016)

Development and validation of a point-based scoring system for predicting axillary lymph node metastasis and disease outcome in breast cancer using clinicopathological and multiparametric MRI features
por: Chen, Xiaofeng, et al.
Publicado: (2023)

Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer
por: Li, Yuting, et al.
Publicado: (2023)

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
por: Braman, Nathaniel M., et al.
Publicado: (2017)

The Diagnostic Performance of DCE-MRI in Evaluating the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer: A Meta-Analysis
por: Cheng, Qingqing, et al.
Publicado: (2020)

Predictive value of DCE-MRI and IVIM-DWI in osteosarcoma patients with neoadjuvant chemotherapy
por: Xia, Xibin, et al.
Publicado: (2022)

Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
por: Braman, Nathaniel M., et al.
Publicado: (2017)

Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response
por: Jiang, Wenhong, et al.
Publicado: (2023)

Value of Apparent Diffusion Coefficient (ADC) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Differentially Diagnosing Angiomatous Meningiomas and Solitary Fibrous Tumors/Hemangiopericytomas
por: Chen, Chen, et al.
Publicado: (2019)

Assessing vascular effects of adding bevacizumab to neoadjuvant chemotherapy in osteosarcoma using DCE-MRI
por: Guo, J, et al.
Publicado: (2015)

The value of GRASP on DCE-MRI for assessing response to neoadjuvant chemotherapy in patients with esophageal cancer
por: Lu, Yanan, et al.
Publicado: (2019)

DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancer
por: Qu, Jinrong, et al.
Publicado: (2022)

Quantitative Multiparametric MRI as an Imaging Biomarker for the Prediction of Breast Cancer Receptor Status and Molecular Subtypes
por: Yang, Zhiqi, et al.
Publicado: (2021)

Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI
por: ElKhamary, Sahar M., et al.
Publicado: (2018)

Synthetic Apparent Diffusion Coefficient for High b-Value Diffusion-Weighted MRI in Prostate
por: Sahoo, Prativa, et al.
Publicado: (2020)

DCE-MRI-Derived Volume Transfer Constant (K(trans)) and DWI Apparent Diffusion Coefficient as Predictive Markers of Short- and Long-Term Efficacy of Chemoradiotherapy in Patients With Esophageal Cancer
por: Ye, Zhi-Min, et al.
Publicado: (2018)

The trouble with apparent diffusion coefficient papers
por: Bourne, Roger M
Publicado: (2015)

Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI()
por: Tudorica, Alina, et al.
Publicado: (2016)

PB.32. Type of breast surgery in patients undergoing neoadjuvant chemotherapy: role of DCE-MRI
por: Halim, M, et al.
Publicado: (2014)

Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response()
por: Ashraf, Ahmed, et al.
Publicado: (2015)

Apparent diffusion coefficient histogram analysis for predicting neoadjuvant chemoradiotherapy response in patients with rectal cancer
por: Babatürk , Andelib, et al.
Publicado: (2022)

The use of MRI apparent diffusion coefficient (ADC) in monitoring the development of brain infarction
por: Shen, Jian-Min, et al.
Publicado: (2011)

Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Peng, Yunsong, et al.
Publicado: (2022)

Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer
por: Le, Nu N., et al.
Publicado: (2022)

DCE-MRI and parametric imaging in monitoring response to neoadjuvant chemotherapy in breast carcinoma: a preliminary report
por: Sharma, Anjna, et al.
Publicado: (2018)

3T DCE-MRI Radiomics Improves Predictive Models of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Montemezzi, Stefania, et al.
Publicado: (2021)

Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study
por: Thawani, Rajat, et al.
Publicado: (2022)

Machine learning for predicting breast-conserving surgery candidates after neoadjuvant chemotherapy based on DCE-MRI
por: Chen, Zhigeng, et al.
Publicado: (2023)

Apparent diffusion coefficient of normal adrenal glands
por: Teixeira, Sara Reis, et al.
Publicado: (2016)

Apparent diffusion coefficient for the prediction of tumor response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer
por: Zhao, Mengjing, et al.
Publicado: (2021)

VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient
por: Johnston, Edward W., et al.
Publicado: (2019)

Impact of measurement method on interobserver variability of apparent diffusion coefficient of lesions in prostate MRI
por: Takahashi, Hiroaki, et al.
Publicado: (2022)

Value of apparent diffusion coefficient on MRI for prediction of histopathological type in anal fistula cancer
por: Yamamoto, Shinji, et al.
Publicado: (2022)

MRI Evaluation of Rectal Cancer Lymph Node Staging Using Apparent Diffusion Coefficient
por: Pikūnienė, Ingrida, et al.
Publicado: (2023)

The Influence of Various Cerebral and Extracerebral Pathologies on Apparent Diffusion Coefficient Values in the Fetal Brain
por: Schönberg, Nadja, et al.
Publicado: (2020)

Correlation between apparent diffusion coefficient and pathological characteristics of patients with invasive breast cancer
por: Chen, Yuhui, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_scpked5vvc1nfmv3n352jm0mbh