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 *

657 related articles for article (PubMed ID: 29734484)

  • 21. Comparison of a Deep Learning-Accelerated vs. Conventional T2-Weighted Sequence in Biparametric MRI of the Prostate.
    Tong A; Bagga B; Petrocelli R; Smereka P; Vij A; Qian K; Grimm R; Kamen A; Keerthivasan MB; Nickel MD; von Busch H; Chandarana H
    J Magn Reson Imaging; 2023 Oct; 58(4):1055-1064. PubMed ID: 36651358
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low-Grade Gliomas Using Multiparametric MR Radiomic Features.
    Ren Y; Zhang X; Rui W; Pang H; Qiu T; Wang J; Xie Q; Jin T; Zhang H; Chen H; Zhang Y; Lu H; Yao Z; Zhang J; Feng X
    J Magn Reson Imaging; 2019 Mar; 49(3):808-817. PubMed ID: 30194745
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multiparametric MRI in detection and staging of prostate cancer.
    Boesen L
    Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
    Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
    J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
    [TBL] [Abstract][Full Text] [Related]  

  • 25. MRI-based texture analysis of the primary tumor for pre-treatment prediction of bone metastases in prostate cancer.
    Wang Y; Yu B; Zhong F; Guo Q; Li K; Hou Y; Lin N
    Magn Reson Imaging; 2019 Jul; 60():76-84. PubMed ID: 30917943
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Investigation of radiomics models for predicting biochemical recurrence of advanced prostate cancer on pretreatment MR ADC maps based on automatic image segmentation.
    Wang H; Wang K; Ma S; Gao G; Wang X
    J Appl Clin Med Phys; 2024 Apr; 25(4):e14244. PubMed ID: 38146796
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Combined Analysis of Biparametric MRI and Prostate-Specific Antigen Density: Role in the Prebiopsy Diagnosis of Gleason Score 7 or Greater Prostate Cancer.
    Lee SJ; Oh YT; Jung DC; Cho NH; Choi YD; Park SY
    AJR Am J Roentgenol; 2018 Sep; 211(3):W166-W172. PubMed ID: 30016148
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
    Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
    Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Rectal wall MRI radiomics in prostate cancer patients: prediction of and correlation with early rectal toxicity.
    Abdollahi H; Mahdavi SR; Mofid B; Bakhshandeh M; Razzaghdoust A; Saadipoor A; Tanha K
    Int J Radiat Biol; 2018 Sep; 94(9):829-837. PubMed ID: 29969358
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion-weighted MRI.
    Carlin D; Orton MR; Collins D; deSouza NM
    J Magn Reson Imaging; 2019 Aug; 50(2):619-627. PubMed ID: 30589150
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study.
    Algohary A; Shiradkar R; Pahwa S; Purysko A; Verma S; Moses D; Shnier R; Haynes AM; Delprado W; Thompson J; Tirumani S; Mahran A; Rastinehad AR; Ponsky L; Stricker PD; Madabhushi A
    Cancers (Basel); 2020 Aug; 12(8):. PubMed ID: 32781640
    [No Abstract]   [Full Text] [Related]  

  • 32. Apparent Diffusion Coefficient (ADC) Ratio Versus Conventional ADC for Detecting Clinically Significant Prostate Cancer With 3-T MRI.
    Bajgiran AM; Mirak SA; Sung K; Sisk AE; Reiter RE; Raman SS
    AJR Am J Roentgenol; 2019 Sep; 213(3):W134-W142. PubMed ID: 31216201
    [No Abstract]   [Full Text] [Related]  

  • 33. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
    Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
    J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Magnetic resonance imaging radiomic feature analysis of radiation-induced femoral head changes in prostate cancer radiotherapy.
    Abdollahi H; Mahdavi SR; Shiri I; Mofid B; Bakhshandeh M; Rahmani K
    J Cancer Res Ther; 2019 Mar; 15(Supplement):S11-S19. PubMed ID: 30900614
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI.
    Li L; Shiradkar R; Leo P; Algohary A; Fu P; Tirumani SH; Mahran A; Buzzy C; Obmann VC; Mansoori B; El-Fahmawi A; Shahait M; Tewari A; Magi-Galluzzi C; Lee D; Lal P; Ponsky L; Klein E; Purysko AS; Madabhushi A
    EBioMedicine; 2021 Jan; 63():103163. PubMed ID: 33321450
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer.
    Montoya Perez I; Merisaari H; Jambor I; Ettala O; Taimen P; Knaapila J; Kekki H; Khan FL; Syrjälä E; Steiner A; Syvänen KT; Verho J; Seppänen M; Rannikko A; Riikonen J; Mirtti T; Lamminen T; Saunavaara J; Falagario U; Martini A; Pahikkala T; Pettersson K; Boström PJ; Aronen HJ
    J Magn Reson Imaging; 2022 Feb; 55(2):465-477. PubMed ID: 34227169
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis.
    Lim CS; Abreu-Gomez J; Thornhill R; James N; Al Kindi A; Lim AS; Schieda N
    Abdom Radiol (NY); 2021 Dec; 46(12):5647-5658. PubMed ID: 34467426
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Biparametric 3T Magnetic Resonance Imaging for prostatic cancer detection in a biopsy-naïve patient population: a further improvement of PI-RADS v2?
    Stanzione A; Imbriaco M; Cocozza S; Fusco F; Rusconi G; Nappi C; Mirone V; Mangiapia F; Brunetti A; Ragozzino A; Longo N
    Eur J Radiol; 2016 Dec; 85(12):2269-2274. PubMed ID: 27842676
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prebiopsy multiparametric MRI-based risk score for predicting prostate cancer in biopsy-naive men with prostate-specific antigen between 4-10 ng/mL.
    Dwivedi DK; Kumar R; Dwivedi AK; Bora GS; Thulkar S; Sharma S; Gupta SD; Jagannathan NR
    J Magn Reson Imaging; 2018 May; 47(5):1227-1236. PubMed ID: 28872226
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 33.