205 related articles for article (PubMed ID: 34111978)
1. Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.
Pereira HM; Leite Duarte ME; Ribeiro Damasceno I; de Oliveira Moura Santos LA; Nogueira-Barbosa MH
Br J Radiol; 2021 Aug; 94(1124):20201391. PubMed ID: 34111978
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
4. [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]
5. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
6. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
[TBL] [Abstract][Full Text] [Related]
7. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
8. Predictors of pulmonary metastases on chest computed tomography in children and adolescents with osteosarcoma-tips for qualifying patients for thoracotomy.
Duczkowski M; Duczkowska A; Olwert A; Michalak E; Bilska K; Klepacka T; Rychłowska-Pruszyńska M; Raciborska A; Bekiesińska-Figatowska M
BMC Pediatr; 2024 Jun; 24(1):382. PubMed ID: 38831258
[TBL] [Abstract][Full Text] [Related]
9. The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers.
Zhang X; Iqbal Bin Saripan M; Wu Y; Wang Z; Wen D; Cao Z; Wang B; Xu S; Liu Y; Marhaban MH; Dong X
BMC Med Imaging; 2024 Jun; 24(1):137. PubMed ID: 38844854
[TBL] [Abstract][Full Text] [Related]
10. Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.
Yichu S; Fei L; Ying L; Youyou X
Clin Radiol; 2024 Jun; 79(6):e807-e816. PubMed ID: 38395696
[TBL] [Abstract][Full Text] [Related]
11. Computed tomography of pulmonary metastases from osteosarcoma: the less poor technique. A study of 51 patients with histological correlation.
Picci P; Vanel D; Briccoli A; Talle K; Haakenaasen U; Malaguti C; Monti C; Ferrari C; Bacci G; Saeter G; Alvegard TA
Ann Oncol; 2001 Nov; 12(11):1601-4. PubMed ID: 11822761
[TBL] [Abstract][Full Text] [Related]
12. The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma.
Ma Y; Li J; Xu X; Zhang Y; Lin Y
BMC Cancer; 2022 Sep; 22(1):949. PubMed ID: 36057553
[TBL] [Abstract][Full Text] [Related]
13. Computed tomographic scan of the chest underestimates the number of metastatic lesions in osteosarcoma.
Kayton ML; Huvos AG; Casher J; Abramson SJ; Rosen NS; Wexler LH; Meyers P; LaQuaglia MP
J Pediatr Surg; 2006 Jan; 41(1):200-6; discussion 200-6. PubMed ID: 16410133
[TBL] [Abstract][Full Text] [Related]
14. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
[TBL] [Abstract][Full Text] [Related]
15. Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma.
Yin P; Zhong J; Liu Y; Liu T; Sun C; Liu X; Cui J; Chen L; Hong N
BMC Med Imaging; 2023 Mar; 23(1):40. PubMed ID: 36959569
[TBL] [Abstract][Full Text] [Related]
16. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
17. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
[TBL] [Abstract][Full Text] [Related]
18. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
19. Clinical model of pulmonary metastasis in patients with osteosarcoma: A new multiple machine learning-based risk prediction.
Su Z; Huang F; Yin C; Yu Y; Yu C
J Orthop Surg (Hong Kong); 2023; 31(2):10225536231177102. PubMed ID: 37288764
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
