These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1442 related articles for article (PubMed ID: 33750453)

  • 1. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.
    Tang TY; Li X; Zhang Q; Guo CX; Zhang XZ; Lao MY; Shen YN; Xiao WB; Ying SH; Sun K; Yu RS; Gao SL; Que RS; Chen W; Huang DB; Pang PP; Bai XL; Liang TB
    J Magn Reson Imaging; 2020 Jul; 52(1):231-245. PubMed ID: 31867839
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of a Multi-institutional Preoperative Nomogram for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasms (IPMNs) of the Pancreas: A Report from The Pancreatic Surgery Consortium.
    Attiyeh MA; Fernández-Del Castillo C; Al Efishat M; Eaton AA; Gönen M; Batts R; Pergolini I; Rezaee N; Lillemoe KD; Ferrone CR; Mino-Kenudson M; Weiss MJ; Cameron JL; Hruban RH; D'Angelica MI; DeMatteo RP; Kingham TP; Jarnagin WR; Wolfgang CL; Allen PJ
    Ann Surg; 2018 Jan; 267(1):157-163. PubMed ID: 28079542
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy.
    Polk SL; Choi JW; McGettigan MJ; Rose T; Ahmed A; Kim J; Jiang K; Balagurunathan Y; Qi J; Farah PT; Rathi A; Permuth JB; Jeong D
    World J Gastroenterol; 2020 Jun; 26(24):3458-3471. PubMed ID: 32655269
    [TBL] [Abstract][Full Text] [Related]  

  • 5. External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model.
    Casadei R; Ricci C; Ingaldi C; Cornacchia A; Migliori M; Di Marco M; Pagano N; Serra C; Alberici L; Minni F
    Updates Surg; 2021 Apr; 73(2):429-438. PubMed ID: 33620642
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Branch duct-intraductal papillary mucinous neoplasms (BD-IPMNs): an MRI-based radiomic model to determine the malignant degeneration potential.
    Flammia F; Innocenti T; Galluzzo A; Danti G; Chiti G; Grazzini G; Bettarini S; Tortoli P; Busoni S; Dragoni G; Gottin M; Galli A; Miele V
    Radiol Med; 2023 Apr; 128(4):383-392. PubMed ID: 36826452
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pre-operative nomogram predicting malignant potential in the patients with intraductal papillary mucinous neoplasm of the pancreas: focused on imaging features based on revised international guideline.
    Hwang JA; Choi SY; Lee JE; Kim SS; Lee S; Moon JY; Heo NH
    Eur Radiol; 2020 Jul; 30(7):3711-3722. PubMed ID: 32095876
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Proposed Nomogram Predicting the Individual Risk of Malignancy in the Patients With Branch Duct Type Intraductal Papillary Mucinous Neoplasms of the Pancreas.
    Jang JY; Park T; Lee S; Kim Y; Lee SY; Kim SW; Kim SC; Song KB; Yamamoto M; Hatori T; Hirono S; Satoi S; Fujii T; Hirano S; Hashimoto Y; Shimizu Y; Choi DW; Choi SH; Heo JS; Motoi F; Matsumoto I; Lee WJ; Kang CM; Han HS; Yoon YS; Sho M; Nagano H; Honda G; Kim SG; Yu HC; Chung JC; Nagakawa Y; Seo HI; Yamaue H
    Ann Surg; 2017 Dec; 266(6):1062-1068. PubMed ID: 27607098
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development, validation, and comparison of a nomogram based on radiologic findings for predicting malignancy in intraductal papillary mucinous neoplasms of the pancreas: An international multicenter study.
    Kim HS; Song W; Choo W; Lee S; Han Y; Bassi C; Salvia R; Marchegiani G; Wolfgang CL; He J; Blair AB; Kluger MD; Su GH; Kim SC; Song KB; Yamamoto M; Hatori T; Yang CY; Yamaue H; Hirono S; Satoi S; Fujii T; Hirano S; Lou W; Hashimoto Y; Shimizu Y; Del Chiaro M; Valente R; Lohr M; Choi DW; Choi SH; Heo JS; Motoi F; Matsumoto I; Lee WJ; Kang CM; Shyr YM; Wang SE; Han HS; Yoon YS; Besselink MG; van Huijgevoort NCM; Sho M; Nagano H; Kim SG; Honda G; Yang Y; Yu HC; Yang JD; Chung JC; Nagakawa Y; Seo HI; Lee S; Kim H; Kwon W; Park T; Jang JY
    J Hepatobiliary Pancreat Sci; 2023 Jan; 30(1):133-143. PubMed ID: 33811460
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram.
    Li H; Zhang R; Li R; Xia W; Chen X; Zhang J; Cai S; Li Y; Zhao S; Qiang J; Peng W; Gu Y; Gao X
    Eur Radiol; 2021 Oct; 31(10):7855-7864. PubMed ID: 33864139
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.
    Chen W; Wang S; Dong D; Gao X; Zhou K; Li J; Lv B; Li H; Wu X; Fang M; Tian J; Xu M
    Front Oncol; 2019; 9():1265. PubMed ID: 31824847
    [No Abstract]   [Full Text] [Related]  

  • 12. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Preoperative prediction of histopathological grading in patients with chondrosarcoma using MRI-based radiomics with semantic features.
    Li X; Zhang J; Leng Y; Liu J; Li L; Wan T; Dong W; Fan B; Gong L
    BMC Med Imaging; 2024 Jul; 24(1):171. PubMed ID: 38992609
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
    Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
    Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
    Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
    Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
    JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
    [TBL] [Abstract][Full Text] [Related]  

  • 17. High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer.
    Yang YS; Qiu YJ; Zheng GH; Gong HP; Ge YQ; Zhang YF; Feng F; Wang YT
    Cancer Imaging; 2021 May; 21(1):40. PubMed ID: 34039436
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
    Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
    Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
    Mao MM; Li HM; Shi J; Qiu QS; Feng F
    Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
    [No Abstract]   [Full Text] [Related]  

  • 20. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
    Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
    Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 73.