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For: Liu Y, Wang Y, Wang Y, Xie Y, Cui Y, Feng S, Yao M, Qiu B, Shen W, Chen D, Du G, Chen X, Liu Z, Li Z, Yang X, Liang C, Wu L. Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study. EClinicalMedicine 2022;52:101562. [PMID: 35928032 PMCID: PMC9343415 DOI: 10.1016/j.eclinm.2022.101562] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 12/01/2022]  Open
Number Cited by Other Article(s)
1
Jia H, Bian Y, Yuan J, Zhang Y, Zhang S. The Potential Role of C4 MYH11+ Fibroblasts and the MDK-SDC2 Ligand-Receptor Pair in Lung Adenocarcinoma: Implications for Prognosis and Therapeutic Strategies. Transl Oncol 2025;55:102364. [PMID: 40121996 PMCID: PMC11982484 DOI: 10.1016/j.tranon.2025.102364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Revised: 03/09/2025] [Accepted: 03/16/2025] [Indexed: 03/25/2025]  Open
2
Chan AW, Sannachi L, Moore-Palhares D, Dasgupta A, Gandhi S, Pezo R, Eisen A, Warner E, Wright FC, Hong NL, Sadeghi-Naini A, Skarpathiotakis M, Curpen B, Betel C, Kolios MC, Trudeau M, Czarnota GJ. Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. J Imaging 2025;11:109. [PMID: 40278025 PMCID: PMC12027888 DOI: 10.3390/jimaging11040109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2025] [Revised: 03/14/2025] [Accepted: 03/25/2025] [Indexed: 04/26/2025]  Open
3
Chen ZH, Zha HL, Yao Q, Zhang WB, Zhou GQ, Li CY. Predicting Pathological Characteristics of HER2-Positive Breast Cancer from Ultrasound Images: a Deep Ensemble Approach. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2025;38:850-857. [PMID: 39187701 PMCID: PMC11950582 DOI: 10.1007/s10278-024-01229-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 08/04/2024] [Accepted: 08/05/2024] [Indexed: 08/28/2024]
4
Wan CF, Jiang ZY, Wang YQ, Wang L, Fang H, Jin Y, Dong Q, Zhang XQ, Jiang LX. Radiomics of Multimodal Ultrasound for Early Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer. Acad Radiol 2025;32:1861-1873. [PMID: 39690072 DOI: 10.1016/j.acra.2024.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2024] [Revised: 11/03/2024] [Accepted: 11/04/2024] [Indexed: 12/19/2024]
5
Miura T, Yashima T, Takaya E, Taniyama Y, Sato C, Okamoto H, Ozawa Y, Ishida H, Unno M, Ueda T, Kamei T. Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma. Esophagus 2025;22:207-214. [PMID: 39792350 DOI: 10.1007/s10388-025-01106-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/05/2025] [Indexed: 01/12/2025]
6
Ma C, Han Z, Zhang S, Li J, Chi H, Wang Q, Zhao H, Jia D, Zhang K, Feng Z, Wang H, Gong J, Ni S, Li G, Li X, Xue H. Study of absorbable dural sealant to improve complications after craniocerebral surgery and its application strategy and standardized operation procedure. Heliyon 2025;11:e41966. [PMID: 39916831 PMCID: PMC11800111 DOI: 10.1016/j.heliyon.2025.e41966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 08/06/2024] [Accepted: 01/13/2025] [Indexed: 02/09/2025]  Open
7
Wang K, Yang X, Yang S, Du X, Shi R, Bai W, Wang Y. A diagnostic test of two-dimensional ultrasonic feature extraction based on artificial intelligence combined with blood flow Adler classification and contrast-enhanced ultrasound for predicting HER-2-positive breast cancer. Transl Cancer Res 2025;14:640-650. [PMID: 39974394 PMCID: PMC11833378 DOI: 10.21037/tcr-24-2182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Accepted: 01/07/2025] [Indexed: 02/21/2025]
8
Ren H, Huang J, Huang Y, Long B, Zhang M, Zhang J, Li H, Huang T, Liu D, Wang Y, Zhang J. Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study. Cancer Imaging 2025;25:8. [PMID: 39885549 PMCID: PMC11781003 DOI: 10.1186/s40644-025-00827-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 01/24/2025] [Indexed: 02/01/2025]  Open
9
Wang Q, Zhao F, Zhang H, Chu T, Wang Q, Pan X, Chen Y, Zhou H, Zheng T, Li Z, Lin F, Xie H, Ma H, Liu L, Zhang L, Li Q, Wang W, Dai Y, Tang R, Wang J, Yang P, Mao N. Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer: A multicenter study. Chin J Cancer Res 2025;37:28-47. [PMID: 40078559 PMCID: PMC11893347 DOI: 10.21147/j.issn.1000-9604.2025.01.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 12/20/2024] [Indexed: 03/14/2025]  Open
10
Luo L, Wang X, Lin Y, Ma X, Tan A, Chan R, Vardhanabhuti V, Chu WC, Cheng KT, Chen H. Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. IEEE Rev Biomed Eng 2025;18:130-151. [PMID: 38265911 DOI: 10.1109/rbme.2024.3357877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
11
Wang X, Zhang Y, Yang M, Wu N, Wang S, Chen H, Zhou T, Zhang Y, Wang X, Jin Z, Zheng A, Yao F, Zhang D, Jin F, Qin P, Wang J. Dynamic ultrasound-based modeling predictive of response to neoadjuvant chemotherapy in patients with early breast cancer. Sci Rep 2024;14:31644. [PMID: 39738182 PMCID: PMC11685924 DOI: 10.1038/s41598-024-80409-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 11/18/2024] [Indexed: 01/01/2025]  Open
12
Wu J, Guo Y, Wu C, Wang Z, Sun Y, Xu D. Integration of Longitudinal and Transverse Radiomics from Ultrasound Images with Clinical Factors for HER-2 Status Prediction in Invasive Breast Cancer Patients. J INVEST SURG 2024;37:2436050. [PMID: 39647167 DOI: 10.1080/08941939.2024.2436050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 11/18/2024] [Accepted: 11/24/2024] [Indexed: 12/10/2024]
13
Xue Y, Zheng M, Wu X, Li B, Ding X, Liu S, Liu S, Liu Q, Gao Y. A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic 131I scan in patients with papillary thyroid cancer. Sci Rep 2024;14:26786. [PMID: 39500984 PMCID: PMC11538545 DOI: 10.1038/s41598-024-78459-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 10/30/2024] [Indexed: 11/08/2024]  Open
14
Fu M, Lin Y, Yang J, Cheng J, Lin L, Wang G, Long C, Xu S, Lu J, Li G, Yan J, Chen G, Zhuo S, Chen D. Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer. Gastric Cancer 2024;27:1242-1257. [PMID: 39271552 DOI: 10.1007/s10120-024-01551-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 09/02/2024] [Indexed: 09/15/2024]
15
Yan Y, Liu Y, Yao J, Sui L, Chen C, Jiang T, Liu X, Wang Y, Ou D, Chen J, Wang H, Feng L, Pan Q, Su Y, Wang Y, Wang L, Zhou L, Xu D. Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study. Br J Radiol 2024;97:1816-1825. [PMID: 39288312 DOI: 10.1093/bjr/tqae147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 06/25/2024] [Accepted: 08/09/2024] [Indexed: 09/19/2024]  Open
16
Yu Y, Chen R, Yi J, Huang K, Yu X, Zhang J, Song C. Non-invasive prediction of axillary lymph node dissection exemption in breast cancer patients post-neoadjuvant therapy: A radiomics and deep learning analysis on longitudinal DCE-MRI data. Breast 2024;77:103786. [PMID: 39137488 PMCID: PMC11369401 DOI: 10.1016/j.breast.2024.103786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 07/15/2024] [Accepted: 08/08/2024] [Indexed: 08/15/2024]  Open
17
Huang Y, Cao Y, Hu X, Lan X, Chen H, Tang S, Li L, Cheng Y, Gong X, Wang W, Jiang F, Yin T, Wang X, Zhang J. Early Identification of Pathologic Complete Response to Neoadjuvant Chemotherapy Using Multiphase DCE-MRI by Siamese Network in Breast Cancer: A Longitudinal Multicenter Study. J Magn Reson Imaging 2024;60:1325-1337. [PMID: 38109316 DOI: 10.1002/jmri.29188] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/30/2023] [Accepted: 12/02/2023] [Indexed: 12/20/2023]  Open
18
Guo J, Chen B, Cao H, Dai Q, Qin L, Zhang J, Zhang Y, Zhang H, Sui Y, Chen T, Yang D, Gong X, Li D. Cross-modal deep learning model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer. NPJ Precis Oncol 2024;8:189. [PMID: 39237596 PMCID: PMC11377584 DOI: 10.1038/s41698-024-00678-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 08/26/2024] [Indexed: 09/07/2024]  Open
19
Jiang C, Zhang X, Qu T, Yang X, Xiu Y, Yu X, Zhang S, Qiao K, Meng H, Li X, Huang Y. The prediction of pCR and chemosensitivity for breast cancer patients using DLG3, RADL and Pathomics signatures based on machine learning and deep learning. Transl Oncol 2024;46:101985. [PMID: 38805774 PMCID: PMC11154003 DOI: 10.1016/j.tranon.2024.101985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 04/19/2024] [Accepted: 04/30/2024] [Indexed: 05/30/2024]  Open
20
Yang Y, Wang J, Ren Q, Yu R, Yuan Z, Jiang Q, Guan S, Tang X, Duan T, Meng X. Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: a retrospective multicentre study. Abdom Radiol (NY) 2024;49:2311-2324. [PMID: 38879708 DOI: 10.1007/s00261-024-04418-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 05/24/2024] [Accepted: 05/29/2024] [Indexed: 07/30/2024]
21
Huang JX, Wu L, Wang XY, Lin SY, Xu YF, Wei MJ, Pei XQ. Delta Radiomics Based on Longitudinal Dual-modal Ultrasound Can Early Predict Response to Neoadjuvant Chemotherapy in Breast Cancer Patients. Acad Radiol 2024;31:1738-1747. [PMID: 38057180 DOI: 10.1016/j.acra.2023.10.051] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 12/08/2023]
22
You J, Huang Y, Ouyang L, Zhang X, Chen P, Wu X, Jin Z, Shen H, Zhang L, Chen Q, Pei S, Zhang B, Zhang S. Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study. EClinicalMedicine 2024;69:102499. [PMID: 38440400 PMCID: PMC10909626 DOI: 10.1016/j.eclinm.2024.102499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 03/06/2024]  Open
23
Han X, Guo Y, Ye H, Chen Z, Hu Q, Wei X, Liu Z, Liang C. Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response. Breast Cancer Res 2024;26:18. [PMID: 38287356 PMCID: PMC10823720 DOI: 10.1186/s13058-024-01776-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 01/20/2024] [Indexed: 01/31/2024]  Open
24
Zeng Z, Wu J, Qin G, Yu D, He Z, Zeng W, Zhou H, Lin J, Liu L, Qi C, Chen W. Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii. Respir Res 2024;25:2. [PMID: 38172893 PMCID: PMC10765646 DOI: 10.1186/s12931-023-02624-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024]  Open
25
Liu X, Li Y, Xiong X, Wu Y, Xu M, Chen L, Lin B, Xu B, Liu G. Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach. 2023 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW) 2023:304-310. [DOI: 10.1109/icdmw60847.2023.00044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
26
Elsayed B, Alksas A, Shehata M, Mahmoud A, Zaky M, Alghandour R, Abdelwahab K, Abdelkhalek M, Ghazal M, Contractor S, El-Din Moustafa H, El-Baz A. Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review. Cancers (Basel) 2023;15:5288. [PMID: 37958461 PMCID: PMC10648987 DOI: 10.3390/cancers15215288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023]  Open
27
Zhang J, Wu J, Zhou XS, Shi F, Shen D. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches. Semin Cancer Biol 2023;96:11-25. [PMID: 37704183 DOI: 10.1016/j.semcancer.2023.09.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/03/2023] [Accepted: 09/05/2023] [Indexed: 09/15/2023]
28
Sui L, Yan Y, Jiang T, Ou D, Chen C, Lai M, Ni C, Zhu X, Wang L, Yang C, Li W, Yao J, Xu D. Ultrasound and clinicopathological characteristics-based model for prediction of pathologic response to neoadjuvant chemotherapy in HER2-positive breast cancer: a case-control study. Breast Cancer Res Treat 2023;202:45-55. [PMID: 37639063 PMCID: PMC10504141 DOI: 10.1007/s10549-023-07057-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/14/2023] [Indexed: 08/29/2023]
29
Yu FH, Miao SM, Li CY, Hang J, Deng J, Ye XH, Liu Y. Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer. Eur Radiol 2023;33:5634-5644. [PMID: 36976336 DOI: 10.1007/s00330-023-09555-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 02/09/2023] [Accepted: 02/19/2023] [Indexed: 03/29/2023]
30
Liao J, Gui Y, Li Z, Deng Z, Han X, Tian H, Cai L, Liu X, Tang C, Liu J, Wei Y, Hu L, Niu F, Liu J, Yang X, Li S, Cui X, Wu X, Chen Q, Wan A, Jiang J, Zhang Y, Luo X, Wang P, Cai Z, Chen L. Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study. EClinicalMedicine 2023;60:102001. [PMID: 37251632 PMCID: PMC10220307 DOI: 10.1016/j.eclinm.2023.102001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023]  Open
31
Zhang J, Wu Q, Yin W, Yang L, Xiao B, Wang J, Yao X. Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients. BMC Cancer 2023;23:431. [PMID: 37173635 PMCID: PMC10176880 DOI: 10.1186/s12885-023-10817-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/06/2023] [Indexed: 05/15/2023]  Open
32
Huang Y, Zhu T, Zhang X, Li W, Zheng X, Cheng M, Ji F, Zhang L, Yang C, Wu Z, Ye G, Lin Y, Wang K. Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study. EClinicalMedicine 2023;58:101899. [PMID: 37007742 PMCID: PMC10050775 DOI: 10.1016/j.eclinm.2023.101899] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 04/04/2023]  Open
33
Fang M, Wang Z, Tian J, Dong D. Predicting origin for bone metastatic cancer using deep learning-based pathology. EBioMedicine 2023;88:104449. [PMID: 36716573 PMCID: PMC9900359 DOI: 10.1016/j.ebiom.2023.104449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/10/2023] [Indexed: 01/30/2023]  Open
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