Article
Radiology, Nuclear Medicine & Medical Imaging
Benjamin C. Musall, Abeer H. Abdelhafez, Beatriz E. Adrada, Rosalind P. Candelaria, Rania M. M. Mohamed, Medine Boge, Huong Le-Petross, Elsa Arribas, Deanna L. Lane, David A. Spak, Jessica W. T. Leung, Ken-Pin Hwang, Jong Bum Son, Nabil A. Elshafeey, Hagar S. Mahmoud, Peng Wei, Jia Sun, Shu Zhang, Jason B. White, Elizabeth E. Ravenberg, Jennifer K. Litton, Senthil Damodaran, Alastair M. Thompson, Stacy L. Moulder, Wei T. Yang, Mark D. Pagel, Gaiane M. Rauch, Jingfei Ma
Summary: The study aimed to investigate the use of fast DCE MRI to predict response to neoadjuvant systemic therapy in triple-negative breast cancer. Results showed that FTV measured at 1 minute after injection during C4 provided the best discrimination between patients who achieved a pathologic complete response and those who did not.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Multidisciplinary Sciences
Han Shin Lee, Hee Jeong Kim, Il Yong Chung, Jisun Kim, Sae Byul Lee, Jong Won Lee, Byung Ho Son, Sei Hyun Ahn, Hak Hee Kim, Joon Beom Seo, Jin Hee Ahn, Gyungyub Gong, Sangwook Lee, Namkug Kim, Beom Seok Ko
Summary: The study demonstrated the use of 3D printed-breast surgical guides for breast cancer patients undergoing neoadjuvant systemic therapy, which proved to be effective in identifying and marking the original tumor area during breast-conserving surgery.
SCIENTIFIC REPORTS
(2021)
Article
Surgery
Elisabetta M. C. Rossi, Alessandra Invento, Filippo Pesapane, Eleonora Pagan, Vincenzo Bagnardi, Nicola Fusco, Konstantinos Venetis, Valeria Dominelli, Chiara Trentin, Enrico Cassano, Laura Gilardi, Manuelita Mazza, Matteo Lazzeroni, Francesca De Lorenzi, Pietro Caldarella, Alessandra De Scalzi, Antonia Girardi, Claudia Sangalli, Luca Alberti, Virgilio Sacchini, Viviana Galimberti, Paolo Veronesi
Summary: This study assessed the accuracy of preoperative VABB specimens compared to surgical specimens in patients with triple-negative or HER2-positive breast cancer after neoadjuvant therapy. The performance of contrast-enhanced MRI and PET-CT for response prediction was also evaluated.
BRITISH JOURNAL OF SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yafei Wang, Mengran Zhao, Yue Ma, Aidi Liu, Yueqiang Zhu, Lu Yin, Zhiran Liang, Zhiye Qu, Hong Lu, Ying Ma, Zhaoxiang Ye
Summary: This study compared the accuracy of preoperative contrast-enhanced cone-beam breast CT (CE-CBBCT) and MRI in assessing residual tumor after neoadjuvant chemotherapy (NAC). The results showed that CE-CBBCT had superior accuracy in assessing residual tumor compared to MRI, especially in cases of residual ductal carcinoma in situ (DCIS) or calcifications, and luminal subtype breast cancer. CE-CBBCT performed similarly to MRI in predicting pathological complete response. Therefore, CE-CBBCT could be considered as an alternative method for preoperative assessment after NAC.
ACADEMIC RADIOLOGY
(2023)
Article
Oncology
Frederik Knude Palshof, Charlotte Lanng, Niels Kroman, Cemil Benian, Ilse Vejborg, Anne Bak, Maj-Lis Talman, Eva Balslev, Tove Filtenborg Tvedskov
Summary: The study found that MRI was more specific than US in predicting pCR in breast cancer patients receiving NACT, but not specific enough to be a valid predictor for omitting surgery. MRI should be preferred for future studies on predicting pCR in NACT patients.
ANNALS OF SURGICAL ONCOLOGY
(2021)
Article
Oncology
Riordan Azam, David Lim, Belinda Curpen, Anne-Marie Mulligan, Nicole Look Hong
Summary: Current imaging techniques show poor correlation with final surgical pathology, leading to potential uncertainty in surgical excision and exclusion of non-surgical management candidates. Triple-negative breast cancer (TNBC) is a good candidate for ongoing trials due to stronger correlations between pathology and imaging.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Toulsie Ramtohul, Clara Tescher, Pauline Vaflard, Joanna Cyrta, Noemie Girard, Caroline Malhaire, Anne Tardivon
Summary: The study aimed to evaluate whether semiquantitative perfusion parameters calculated at initial ultrafast DCE MRI can predict pathologic response after neoadjuvant chemotherapy in breast cancer patients. The results showed that the wash-in slope (WIS) parameter was an independent predictor associated with pathologic complete response, and it could differentiate subgroups of breast cancer patients with different rates of pathologic complete response.
Article
Multidisciplinary Sciences
Haley J. Bowers, Emily Douglas, Katherine Ansley, Alexandra Thomas, Jared A. Weis
Summary: This study used an image data-driven mathematical modeling approach to dynamically characterize the response of breast cancer patients to neoadjuvant therapy, and found a strong correlation between this method and residual cancer burden.
SCIENTIFIC REPORTS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Soo-Yeon Kim, Nariya Cho, Yunhee Choi, Su Hyun Lee, Su Min Ha, Eun Sil Kim, Jung Min Chang, Woo Kyung Moon
Summary: A nomogram incorporating MRI and clinical-pathologic variables was developed to predict pathologic complete response after neoadjuvant chemotherapy in breast cancer. The nomogram showed good discrimination and calibration abilities, effectively identifying independent variables associated with pCR.
Article
Radiology, Nuclear Medicine & Medical Imaging
Peng Lin, Wei-Jun Wan, Tong Kang, Lian-feng Qin, Qiu-xue Meng, Xiao-xin Wu, Hong-yan Qin, Yi-qun Lin, Yun He, Hong Yang
Summary: This study aimed to identify the molecular basis of four parameters obtained from dynamic contrast-enhanced magnetic resonance imaging. The results showed that functional tumor volume (FTV) was positively correlated with proliferation-related pathways, longest diameter (LD) was positively correlated with signal transmission-related pathways, and sphericity was positively correlated with immune-related pathways. The decrease in sphericity was negatively correlated with baseline sphericity and immune signatures, and could serve as a predictor for response to neoadjuvant chemotherapy.
Article
Biotechnology & Applied Microbiology
Yuhong Huang, Wenben Chen, Xiaoling Zhang, Shaofu He, Nan Shao, Huijuan Shi, Zhenzhe Lin, Xueting Wu, Tongkeng Li, Haotian Lin, Ying Lin
Summary: The study aimed to predict tumor shrinkage patterns prior to NACT using a machine learning model that combines radiomics features and clinical characteristics. Results showed that the Multilayer Perception neural network achieved higher AUC and accuracy than other classifiers and performed well in different molecular subtypes of breast cancer, indicating its potential in guiding NACT and surgical treatment in breast cancer.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhenwei Shi, Xiaomei Huang, Ziliang Cheng, Zeyan Xu, Huan Lin, Chen Liu, Xiaobo Chen, Chunling Liu, Changhong Liang, Cheng Lu, Yanfen Cui, Chu Han, Jinrong Qu, Jun Shen, Zaiyi Liu
Summary: A quantitative measure of intratumoral heterogeneity (ITH) on pretreatment MRI scans, combined with conventional radiomics features and clinicopathologic variables, shows good performance in predicting pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in patients with breast cancer.
Article
Multidisciplinary Sciences
Sunghoon Joo, Eun Sook Ko, Soonhwan Kwon, Eunjoo Jeon, Hyungsik Jung, Ji-Yeon Kim, Myung Jin Chung, Young-Hyuck Im
Summary: The study developed a deep learning model that integrates clinical information and MRI images to predict pathologic complete response to neoadjuvant chemotherapy in breast cancer patients. The model trained on all datasets showed better performance compared to using only clinical information.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wen-Jie Tang, Si-Yi Chen, Wen-Ke Hu, Xue-Li Li, Bing-Jie Zheng, Zhen-Sui Wang, Han-Jun Ding, Lei-Xin Chen, Qiong-Qiong Zhang, Xiao-Meng Yu, Yi Sui, Xin-Hua Wei, Yuan Guo
Summary: This study compared the diagnostic performance of abbreviated MRI and full-protocol MRI in evaluating breast cancer NAC response. The results showed similar intraobserver and interobserver agreement between the two protocols for both general and breast radiologists, with no significant difference in diagnostic performance. However, full-protocol MRI slightly overestimated pathologic tumor sizes compared to abbreviated MRI.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2023)
Article
Immunology
Jin Wu, Yuan Tian, Wei Liu, Hong Zheng, Yuanyin Xi, Yuzhao Yan, Ying Hu, Bin Liao, Minghao Wang, Peng Tang
Summary: A novel 12 gene-signature has been identified in this study to predict the response to neoadjuvant chemotherapy and prognosis in breast cancer.
FRONTIERS IN IMMUNOLOGY
(2022)