日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Early tumor volume reduction by breast DCE MRI predicts pathologic complete response to neoadjuvant therapy in triple negative breast cancer

乳腺动态增强磁共振成像早期肿瘤体积缩小可预测三阴性乳腺癌新辅助治疗后的病理完全缓解

Guirguis, Mary S; Adrada, Beatriz E; Yam, Clinton; Tripathy, Debu; Candelaria, Rosalind; Yang, Wei; Patel, Miral; Moseley, Tanya; Perez, Frances; Whitman, Gary J; Leung, Jessica W T; Le-Petross, Huong; Lane, Deanna L; Huo, Lei; Litton, Jennifer K; Valero, Vicente; Hunt, Kelly K; Arun, Banu; Mohamed, Rania; Sun, Jia; Korkut, Anil; Xu, Zhan; Pashapoor, Sanaz; White, Jason; Son, Jong Bum; Thompson, Alastair; Wei, Peng; Ma, Jingfei; Moulder, Stacy; Rauch, Gaiane M

Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer

基于影像学和肿瘤生物标志物的多变量模型用于早期预测三阴性乳腺癌新辅助全身治疗后的病理完全缓解

Adrada, Beatriz E; Guirguis, Mary S; Huo, Lei; Yam, Clinton; Tripathy, Debu; Candelaria, Rosalind; Yang, Wei; Patel, Miral; Moseley, Tanya; Whitman, Gary J; Leung, Jessica W T; Le-Petross, Huong; Lane, Deanna L; Abuhadra, Nour; Litton, Jennifer; Valero, Vicente; Hunt, Kelly K; Arun, Banu; Mohamed, Rania; Sun, Jia; Korkut, Anil; Pashapoor, Sanaz; White, Jason; Thompson, Alastair; Wei, Peng; Ma, Jingfei; Moulder, Stacy; Rauch, Gaiane M

Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer

基于多参数磁共振成像的放射组学模型用于早期预测三阴性乳腺癌新辅助全身治疗的疗效

Mohamed, Rania M; Panthi, Bikash; Adrada, Beatriz E; Boge, Medine; Candelaria, Rosalind P; Chen, Huiqin; Guirguis, Mary S; Hunt, Kelly K; Huo, Lei; Hwang, Ken-Pin; Korkut, Anil; Litton, Jennifer K; Moseley, Tanya W; Pashapoor, Sanaz; Patel, Miral M; Reed, Brandy; Scoggins, Marion E; Son, Jong Bum; Thompson, Alastair; Tripathy, Debu; Valero, Vicente; Wei, Peng; White, Jason; Whitman, Gary J; Xu, Zhan; Yang, Wei; Yam, Clinton; Ma, Jingfei; Rauch, Gaiane M

Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy

扩散张量成像技术用于表征新辅助全身治疗期间三阴性乳腺癌的变化

Musall, Benjamin C; Rauch, David E; Mohamed, Rania M M; Panthi, Bikash; Boge, Medine; Candelaria, Rosalind P; Chen, Huiqin; Guirguis, Mary S; Hunt, Kelly K; Huo, Lei; Hwang, Ken-Pin; Korkut, Anil; Litton, Jennifer K; Moseley, Tanya W; Pashapoor, Sanaz; Patel, Miral M; Reed, Brandy J; Scoggins, Marion E; Son, Jong Bum; Tripathy, Debu; Valero, Vicente; Wei, Peng; White, Jason B; Whitman, Gary J; Xu, Zhan; Yang, Wei T; Yam, Clinton; Adrada, Beatriz E; Ma, Jingfei

Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI

利用纵向动态增强磁共振成像的功能性肿瘤体积评估三阴性乳腺癌新辅助全身治疗的疗效

Panthi, Bikash; Adrada, Beatriz E; Candelaria, Rosalind P; Guirguis, Mary S; Yam, Clinton; Boge, Medine; Chen, Huiqin; Hunt, Kelly K; Huo, Lei; Hwang, Ken-Pin; Korkut, Anil; Lane, Deanna L; Le-Petross, Huong C; Leung, Jessica W T; Litton, Jennifer K; Mohamed, Rania M; Musall, Benjamin C; Pashapoor, Sanaz; Patel, Miral M; Perez, Frances; Son, Jong Bum; Thompson, Alastair; Valero, Vicente; Wei, Peng; White, Jason; Xu, Zhan; Pinsky, Lawrence; Tripathy, Debu; Yang, Wei; Ma, Jingfei; Rauch, Gaiane M

Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer

基于深度学习的三阴性乳腺癌连续采集动态增强磁共振成像图像全自动肿瘤分割

Xu, Zhan; Rauch, David E; Mohamed, Rania M; Pashapoor, Sanaz; Zhou, Zijian; Panthi, Bikash; Son, Jong Bum; Hwang, Ken-Pin; Musall, Benjamin C; Adrada, Beatriz E; Candelaria, Rosalind P; Leung, Jessica W T; Le-Petross, Huong T C; Lane, Deanna L; Perez, Frances; White, Jason; Clayborn, Alyson; Reed, Brandy; Chen, Huiqin; Sun, Jia; Wei, Peng; Thompson, Alastair; Korkut, Anil; Huo, Lei; Hunt, Kelly K; Litton, Jennifer K; Valero, Vicente; Tripathy, Debu; Yang, Wei; Yam, Clinton; Ma, Jingfei

Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI

利用深度学习和多参数磁共振成像预测三阴性乳腺癌新辅助全身治疗后的病理完全缓解

Zhou, Zijian; Adrada, Beatriz E; Candelaria, Rosalind P; Elshafeey, Nabil A; Boge, Medine; Mohamed, Rania M; Pashapoor, Sanaz; Sun, Jia; Xu, Zhan; Panthi, Bikash; Son, Jong Bum; Guirguis, Mary S; Patel, Miral M; Whitman, Gary J; Moseley, Tanya W; Scoggins, Marion E; White, Jason B; Litton, Jennifer K; Valero, Vicente; Hunt, Kelly K; Tripathy, Debu; Yang, Wei; Wei, Peng; Yam, Clinton; Pagel, Mark D; Rauch, Gaiane M; Ma, Jingfei

Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer

纵向动态对比增强磁共振成像放射组学模型用于早期预测三阴性乳腺癌新辅助全身治疗的疗效

Panthi, Bikash; Mohamed, Rania M; Adrada, Beatriz E; Boge, Medine; Candelaria, Rosalind P; Chen, Huiqin; Hunt, Kelly K; Huo, Lei; Hwang, Ken-Pin; Korkut, Anil; Lane, Deanna L; Le-Petross, Huong C; Leung, Jessica W T; Litton, Jennifer K; Pashapoor, Sanaz; Perez, Frances; Son, Jong Bum; Sun, Jia; Thompson, Alastair; Tripathy, Debu; Valero, Vicente; Wei, Peng; White, Jason; Xu, Zhan; Yang, Wei; Zhou, Zijian; Yam, Clinton; Rauch, Gaiane M; Ma, Jingfei

Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs

利用深度学习对多参数磁共振成像数据预测三阴性乳腺癌新辅助全身治疗的病理完全缓解率

Zhou, Zijian; Adrada, Beatriz E; Candelaria, Rosalind P; Elshafeey, Nabil A; Boge, Medine; Mohamed, Rania M; Pashapoor, Sanaz; Sun, Jia; Xu, Zhan; Panthi, Bikash; Son, Jong Bum; Guirguis, Mary S; Patel, Miral M; Whitman, Gary J; Moseley, Tanya W; Scoggins, Marion E; White, Jason B; Litton, Jennifer K; Valero, Vincente; Hunt, Kelly K; Tripathy, Debu; Yang, Wei; Wei, Peng; Yam, Clinton; Pagel, Mark D; Rauch, Gaiane M; Ma, Jingfei