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 *

119 related articles for article (PubMed ID: 36728539)

  • 1. Prediction of placenta accreta spectrum with nomogram combining radiomic and clinical factors: A novel developed and validated integrative model.
    Hu Y; Chen W; Kong C; Lin G; Li X; Zhou Z; Shen S; Chen L; Zhou J; Zhao H; Yu Z; Wang Z; Lu C; Ji J
    Int J Gynaecol Obstet; 2023 Aug; 162(2):639-650. PubMed ID: 36728539
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MRI-radiomics-clinical-based nomogram for prenatal prediction of the placenta accreta spectrum disorders.
    Peng L; Zhang X; Liu J; Liu Y; Huang J; Chen J; Su Y; Yang Z; Song T
    Eur Radiol; 2022 Nov; 32(11):7532-7543. PubMed ID: 35587828
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study.
    Wu Q; Yao K; Liu Z; Li L; Zhao X; Wang S; Shang H; Lin Y; Wen Z; Zhang X; Tian J; Wang M
    EBioMedicine; 2019 Dec; 50():355-365. PubMed ID: 31767539
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Placental T2WI MRI-based radiomics-clinical nomogram predicts suspicious placenta accreta spectrum in patients with placenta previa.
    Yu H; Yin H; Zhang H; Zhang J; Yue Y; Lu Y
    BMC Med Imaging; 2024 Jun; 24(1):146. PubMed ID: 38872133
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomic study of antenatal prediction of severe placenta accreta spectrum from MRI.
    Bartels HC; Wolsztynski E; O'Doherty J; Brophy DP; MacDermott R; Atallah D; Saliba S; El Kassis N; Moubarak M; Young C; Downey P; Donnelly J; Geoghegan T; Brennan DJ; Curran KM
    Br J Radiol; 2024 Nov; 97(1163):1833-1842. PubMed ID: 39152998
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a nomogram for predicting placenta accreta spectrum in pregnancies with one previous cesarean delivery.
    Wu Q; Xi F; Luo P; Dong T; Jiang H; Luo Q
    Int J Gynaecol Obstet; 2024 Nov; 167(2):685-694. PubMed ID: 38832362
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRI-based radiomics nomogram in patients with high-risk placenta accreta spectrum: can it aid in the prenatal diagnosis of intraoperative blood loss?
    Zhang Y; Hu M; Wen X; Huang Y; Luo R; Chen J
    Abdom Radiol (NY); 2023 Mar; 48(3):1107-1118. PubMed ID: 36604318
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Intraplacental T2-hypointense bands may help predict placental invasion depth and postpartum hemorrhage in placenta accrete spectrum disorders in high-risk gravid patients.
    Hu Y; Wang Y; Weng Q; Wu X; Xia S; Wang H; Cheng X; Mao C; Li X; Zhou Z; Chen C; Xu M; Wang Z; Ji J
    Magn Reson Imaging; 2022 Dec; 94():73-79. PubMed ID: 36116713
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics-based prediction of FIGO grade for placenta accreta spectrum.
    Bartels HC; O'Doherty J; Wolsztynski E; Brophy DP; MacDermott R; Atallah D; Saliba S; Young C; Downey P; Donnelly J; Geoghegan T; Brennan DJ; Curran KM
    Eur Radiol Exp; 2023 Sep; 7(1):54. PubMed ID: 37726591
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Non-invasive preoperative imaging differential diagnosis of pineal region tumor: A novel developed and validated multiparametric MRI-based clinicoradiomic model.
    Fan Y; Huo X; Li X; Wang L; Wu Z
    Radiother Oncol; 2022 Feb; 167():277-284. PubMed ID: 35033600
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. The value of the combined MR imaging features and clinical factors Nomogram model in predicting intractable postpartum hemorrhage due to placenta accreta.
    Lu X; Zhang H; Wu X; Chen X; Zhang Q; Song W; Jin Y; Yuan M
    Medicine (Baltimore); 2024 Mar; 103(13):e37665. PubMed ID: 38552054
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative radiomic biomarkers for discrimination between neuromyelitis optica spectrum disorder and multiple sclerosis.
    Ma X; Zhang L; Huang D; Lyu J; Fang M; Hu J; Zang Y; Zhang D; Shao H; Ma L; Tian J; Dong D; Lou X
    J Magn Reson Imaging; 2019 Apr; 49(4):1113-1121. PubMed ID: 30408268
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Percreta score to differentiate between placenta accreta and placenta percreta with ultrasound and MR imaging.
    Pain FA; Dohan A; Grange G; Marcellin L; Uzan-Augui J; Goffinet F; Soyer P; Tsatsaris V
    Acta Obstet Gynecol Scand; 2022 Oct; 101(10):1135-1145. PubMed ID: 35822244
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An MRI-Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors.
    Zhang H; Wang H; Hao D; Ge Y; Wan G; Zhang J; Liu S; Zhang Y; Xu D
    J Magn Reson Imaging; 2021 Jan; 53(1):141-151. PubMed ID: 32776393
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a magnetic resonance imaging-based nomogram for predicting invasive forms of placental accreta spectrum disorders.
    Li Q; Zhou H; Zhou K; He J; Shi Z; Wang Z; Dai Y; Hu Y
    J Obstet Gynaecol Res; 2021 Oct; 47(10):3488-3497. PubMed ID: 34365701
    [TBL] [Abstract][Full Text] [Related]  

  • 17. USMRI Features and Clinical Data-Based Model for Predicting the Degree of Placenta Accreta Spectrum Disorders and Developing Prediction Models.
    An P; Zhang J; Yang F; Wang Z; Hu Y; Li X
    Int J Clin Pract; 2022; 2022():9527412. PubMed ID: 35685563
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel clinical-radiomic nomogram for the crescent status in IgA nephropathy.
    Qin X; Xia L; Hu X; Xiao W; Huaming X; Xisheng X; Zhang C
    Front Endocrinol (Lausanne); 2023; 14():1093452. PubMed ID: 36742388
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
    Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
    Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI.
    Lu J; Cai S; Wang F; Wu PY; Pan X; Qiang J; Li H; Zeng M
    Acad Radiol; 2023 Sep; 30(9):1823-1831. PubMed ID: 36587996
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.