156 related articles for article (PubMed ID: 37464020)
1. Evaluation of response to neoadjuvant chemotherapy in osteosarcoma using dynamic contrast-enhanced MRI: development and external validation of a model.
Kalisvaart GM; Van Den Berghe T; Grootjans W; Lejoly M; Huysse WCJ; Bovée JVMG; Creytens D; Gelderblom H; Speetjens FM; Lapeire L; van de Sande MAJ; Sys G; de Geus-Oei LF; Verstraete KL; Bloem JL
Skeletal Radiol; 2024 Feb; 53(2):319-328. PubMed ID: 37464020
[TBL] [Abstract][Full Text] [Related]
2. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
[TBL] [Abstract][Full Text] [Related]
3. The clinical value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) semi-quantitative parameters in monitoring neoadjuvant chemotherapy response of osteosarcoma.
Zeng YN; Zhang BT; Song T; Peng JF; Wang JT; Yuan Q; Tan MY
Acta Radiol; 2022 Aug; 63(8):1077-1085. PubMed ID: 34247514
[TBL] [Abstract][Full Text] [Related]
4. Intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging for neoadjuvant chemotherapy response evaluation in patients with osteosarcoma.
Yin P; Xu J; Sun X; Liu T; Chen L; Hong N
Eur J Radiol; 2023 May; 162():110790. PubMed ID: 36963332
[TBL] [Abstract][Full Text] [Related]
5. Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
Zhong J; Zhang C; Hu Y; Zhang J; Liu Y; Si L; Xing Y; Ding D; Geng J; Jiao Q; Zhang H; Yang G; Yao W
Eur Radiol; 2022 Sep; 32(9):6196-6206. PubMed ID: 35364712
[TBL] [Abstract][Full Text] [Related]
6. Prediction of Poor Responders to Neoadjuvant Chemotherapy in Patients with Osteosarcoma: Additive Value of Diffusion-Weighted MRI including Volumetric Analysis to Standard MRI at 3T.
Lee SK; Jee WH; Jung CK; Im SA; Chung NG; Chung YG
PLoS One; 2020; 15(3):e0229983. PubMed ID: 32155203
[TBL] [Abstract][Full Text] [Related]
7. Prediction of Histologic Neoadjuvant Chemotherapy Response in Osteosarcoma Using Pretherapeutic MRI Radiomics.
Bouhamama A; Leporq B; Khaled W; Nemeth A; Brahmi M; Dufau J; Marec-Bérard P; Drapé JL; Gouin F; Bertrand-Vasseur A; Blay JY; Beuf O; Pilleul F
Radiol Imaging Cancer; 2022 Sep; 4(5):e210107. PubMed ID: 36178349
[TBL] [Abstract][Full Text] [Related]
8. Percent slope analysis of dynamic magnetic resonance imaging for assessment of chemotherapy response of osteosarcoma or Ewing sarcoma: systematic review and meta-analysis.
Kubo T; Furuta T; Johan MP; Adachi N; Ochi M
Skeletal Radiol; 2016 Sep; 45(9):1235-42. PubMed ID: 27229874
[TBL] [Abstract][Full Text] [Related]
9. Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study.
Huang B; Wang J; Sun M; Chen X; Xu D; Li ZP; Ma J; Feng ST; Gao Z
BMC Cancer; 2020 Apr; 20(1):322. PubMed ID: 32293344
[TBL] [Abstract][Full Text] [Related]
10. [Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].
Dufau J; Bouhamama A; Leporq B; Malaureille L; Beuf O; Gouin F; Pilleul F; Marec-Berard P
Bull Cancer; 2019 Nov; 106(11):983-999. PubMed ID: 31587802
[TBL] [Abstract][Full Text] [Related]
11. Early response monitoring to neoadjuvant chemotherapy in osteosarcoma using sequential ¹⁸F-FDG PET/CT and MRI.
Byun BH; Kong CB; Lim I; Kim BI; Choi CW; Song WS; Cho WH; Jeon DG; Koh JS; Lee SY; Lim SM
Eur J Nucl Med Mol Imaging; 2014 Aug; 41(8):1553-62. PubMed ID: 24652233
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
[TBL] [Abstract][Full Text] [Related]
14. Correlation of histopathology and multi-modal magnetic resonance imaging in childhood osteosarcoma: Predicting tumor response to chemotherapy.
Teo KY; Daescu O; Cederberg K; Sengupta A; Leavey PJ
PLoS One; 2022; 17(2):e0259564. PubMed ID: 35157711
[TBL] [Abstract][Full Text] [Related]
15. Prediction of response to preoperative neoadjuvant chemotherapy in extremity high-grade osteosarcoma using X-ray and multiparametric MRI radiomics.
Luo Z; Li J; Liao Y; Huang W; Li Y; Shen X
J Xray Sci Technol; 2023; 31(3):611-626. PubMed ID: 37005907
[TBL] [Abstract][Full Text] [Related]
16. Role of MRI in osteosarcoma for evaluation and prediction of chemotherapy response: correlation with histological necrosis.
Bajpai J; Gamnagatti S; Kumar R; Sreenivas V; Sharma MC; Khan SA; Rastogi S; Malhotra A; Safaya R; Bakhshi S
Pediatr Radiol; 2011 Apr; 41(4):441-50. PubMed ID: 20978754
[TBL] [Abstract][Full Text] [Related]
17. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma.
Lin P; Yang PF; Chen S; Shao YY; Xu L; Wu Y; Teng W; Zhou XZ; Li BH; Luo C; Xu LM; Huang M; Niu TY; Ye ZM
Cancer Imaging; 2020 Jan; 20(1):7. PubMed ID: 31937372
[TBL] [Abstract][Full Text] [Related]
18. Conventional 99mTc-(hydroxy) methylene diphosphate remains useful to predict osteosarcoma response to neoadjuvant chemotherapy: Individual patient data and aggregate data meta-analyses.
Kubo T; Furuta T; Sakuda T; Ochi M; Adachi N
Medicine (Baltimore); 2018 Dec; 97(51):e13308. PubMed ID: 30572434
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy.
Zhang L; Ge Y; Gao Q; Zhao F; Cheng T; Li H; Xia Y
Front Oncol; 2021; 11():758921. PubMed ID: 34868973
[TBL] [Abstract][Full Text] [Related]
20. Texture analysis for chemotherapy response evaluation in osteosarcoma using MR imaging.
Baidya Kayal E; Kandasamy D; Khare K; Bakhshi S; Sharma R; Mehndiratta A
NMR Biomed; 2021 Feb; 34(2):e4426. PubMed ID: 33078438
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]