The future of pancreatic cancer prognosis: machine learning and radiomics integration

被引:0
|
作者
Verma, Amogh [1 ,2 ]
Singh, Jaskirat [2 ]
Ndabashinze, Rodrigue [3 ]
Sah, Sanjit [1 ]
Pant, Manu [4 ,5 ]
Khatib, Mahalaqua N. [6 ]
Singh, Mahendra P. [7 ,8 ]
Zahiruddin, Quazi S. [9 ]
Rustagi, Sarvesh [10 ]
机构
[1] SR Sanjeevani Hosp, Kalyanpur, Siraha, Nepal
[2] Rama Med Coll Hosp & Res Ctr, Hapur, India
[3] Univ Burundi, Bujumbura, Burundi
[4] Graph Era Deemed be Univ Clement Town Dehradun, Dept Biotechnol, Dehra Dun, India
[5] Graph Era Hill Univ Clement Town Dehradun, Dept Allied Sci, Dehra Dun, India
[6] Datta Meghe Inst Higher Educ, Global Consortium Publ Hlth & Res, Div Evidence Synth, Wardha, India
[7] Saveetha Univ, Saveetha Med Coll & Hosp, Saveetha Inst Med & Tech Sci, Ctr Global Hlth Res, Chennai, India
[8] AL Mustaqbal Univ, Med Labs Tech Dept, Hillah, Babil, Iraq
[9] Datta Meghe Inst Higher Educ, South Asia Infant Feeding Res Network SAIFRN, Global Consortium Publ Hlth & Res, Div Evidence Synth, Wardha, India
[10] Uttaranchal Univ, Sch Appl & Life Sci, Dehra Dun, Uttarakhand, India
关键词
D O I
10.1097/IO9.0000000000000158
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
引用
收藏
页码:653 / 655
页数:3
相关论文
共 50 条
  • [21] Machine learning was used to predict risk factors for distant metastasis of pancreatic cancer and prognosis analysis
    Yao, Qianyun
    Jia, Weili
    Chen, Siyan
    Wang, Qingqing
    Liu, Zhekui
    Liu, Danping
    Ji, Xincai
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (12) : 10279 - 10291
  • [22] Improving molecular subtypes and prognosis of pancreatic cancer through multi group analysis and machine learning
    Zhang, Xue-Jian
    Lin, Fang-Fang
    Wen, Ya-Qing
    Guan, Kun-Ping
    DISCOVER ONCOLOGY, 2025, 16 (01)
  • [23] Machine learning principles applied to CT radiomics to predict mucinous pancreatic cysts
    Awe, Adam M.
    Vanden Heuvel, Michael M.
    Yuan, Tianyuan
    Rendell, Victoria R.
    Shen, Mingren
    Kampani, Agrima
    Liang, Shanchao
    Morgan, Dane D.
    Winslow, Emily R.
    Lubner, Meghan G.
    ABDOMINAL RADIOLOGY, 2022, 47 (01) : 221 - 231
  • [24] Applications of Machine Learning in Cancer Prediction and Prognosis
    Cruz, Joseph
    Wishart, David
    CANCER INFORMATICS, 2006, 2 : 59 - 77
  • [25] Multiomics and machine learning in lung cancer prognosis
    Gao, Yanan
    Zhou, Rui
    Lyu, Qingwen
    JOURNAL OF THORACIC DISEASE, 2020, 12 (08) : 4531 - 4535
  • [26] Machine learning applications in cancer prognosis and prediction
    Kourou, Konstantina
    Exarchos, Themis P.
    Exarchos, Konstantinos P.
    Karamouzis, Michalis V.
    Fotiadis, Dimitrios I.
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2015, 13 : 8 - 17
  • [27] Preoperative Prediction of Perineural Invasion and Prognosis in Gastric Cancer Based on Machine Learning through a Radiomics-Clinicopathological Nomogram
    Jia, Heng
    Li, Ruzhi
    Liu, Yawei
    Zhan, Tian
    Li, Yuan
    Zhang, Jianping
    CANCERS, 2024, 16 (03)
  • [28] The radiomics nomogram predicts the prognosis of pancreatic cancer patients with hepatic metastasis after chemoimmunotherapy
    Lu, Wenxin
    Wu, Guangyu
    Miao, Xianyuan
    Ma, Jingyu
    Wang, Yanling
    Xu, Haiyan
    Shentu, Daiyuan
    Xue, Shengbai
    Xia, Qing
    Wang, Yu
    Wang, Liwei
    CANCER IMMUNOLOGY IMMUNOTHERAPY, 2024, 73 (05)
  • [29] Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis
    Gurcan, Fatih
    Soylu, Ahmet
    CANCERS, 2024, 16 (19)
  • [30] Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT
    Lopez-Ramirez, Felipe
    Soleimani, Sahar
    Azadi, Javad R.
    Sheth, Sheila
    Kawamoto, Satomi
    Javed, Ammar A.
    Tixier, Florent
    Hruban, Ralph H.
    Fishman, Elliot K.
    Chu, Linda C.
    DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2025, 106 (01) : 28 - 40