172 related articles for article (PubMed ID: 35757232)
1. Usefulness of MRI-based radiomic features for distinguishing Warthin tumor from pleomorphic adenoma: performance assessment using T2-weighted and post-contrast T1-weighted MR images.
Faggioni L; Gabelloni M; De Vietro F; Frey J; Mendola V; Cavallero D; Borgheresi R; Tumminello L; Shortrede J; Morganti R; Seccia V; Coppola F; Cioni D; Neri E
Eur J Radiol Open; 2022; 9():100429. PubMed ID: 35757232
[TBL] [Abstract][Full Text] [Related]
2. Value of T2-weighted-based radiomics model in distinguishing Warthin tumor from pleomorphic adenoma of the parotid.
Hu Z; Guo J; Feng J; Huang Y; Xu H; Zhou Q
Eur Radiol; 2023 Jun; 33(6):4453-4463. PubMed ID: 36502461
[TBL] [Abstract][Full Text] [Related]
3. Can Magnetic Resonance Radiomics Analysis Discriminate Parotid Gland Tumors? A Pilot Study.
Gabelloni M; Faggioni L; Attanasio S; Vani V; Goddi A; Colantonio S; Germanese D; Caudai C; Bruschini L; Scarano M; Seccia V; Neri E
Diagnostics (Basel); 2020 Nov; 10(11):. PubMed ID: 33153140
[TBL] [Abstract][Full Text] [Related]
4. Apparent Diffusion Coefficient Map-Based Radiomics Features for Differential Diagnosis of Pleomorphic Adenomas and Warthin Tumors From Malignant Tumors.
Wen B; Zhang Z; Zhu J; Liu L; Li Y; Huang H; Zhang Y; Cheng J
Front Oncol; 2022; 12():830496. PubMed ID: 35747827
[TBL] [Abstract][Full Text] [Related]
5. Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram.
Qi J; Gao A; Ma X; Song Y; Zhao G; Bai J; Gao E; Zhao K; Wen B; Zhang Y; Cheng J
Front Oncol; 2022; 12():937050. PubMed ID: 35898886
[TBL] [Abstract][Full Text] [Related]
6. Semiquantitative magnetic resonance imaging parameters for differentiating parotid pleomorphic adenoma from Warthin tumor.
He SN; Lu RC; Zhou JL; Wang B; Bi GL; Wu KH
Quant Imaging Med Surg; 2023 Sep; 13(9):6152-6163. PubMed ID: 37711827
[TBL] [Abstract][Full Text] [Related]
7. Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study.
Maiti S; Nayak S; Hebbar KD; Pendem S
F1000Res; 2024; 13():91. PubMed ID: 38571894
[TBL] [Abstract][Full Text] [Related]
8. Texture-based and diffusion-weighted discrimination of parotid gland lesions on MR images at 3.0 Tesla.
Fruehwald-Pallamar J; Czerny C; Holzer-Fruehwald L; Nemec SF; Mueller-Mang C; Weber M; Mayerhoefer ME
NMR Biomed; 2013 Nov; 26(11):1372-9. PubMed ID: 23703801
[TBL] [Abstract][Full Text] [Related]
9. Enhanced CT-based texture analysis and radiomics score for differentiation of pleomorphic adenoma, basal cell adenoma, and Warthin tumor of the parotid gland.
Chen F; Ge Y; Li S; Liu M; Wu J; Liu Y
Dentomaxillofac Radiol; 2023 Jan; 52(2):20220009. PubMed ID: 36367128
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?
Vernuccio F; Arnone F; Cannella R; Verro B; Comelli A; Agnello F; Stefano A; Gargano R; Rodolico V; Salvaggio G; Lagalla R; Midiri M; Lo Casto A
Br J Radiol; 2021 Dec; 94(1128):20210340. PubMed ID: 34591597
[TBL] [Abstract][Full Text] [Related]
11. Deep learning based ultrasound analysis facilitates precise distinction between parotid pleomorphic adenoma and Warthin tumor.
Liu XH; Miao YY; Qian L; Shi ZT; Wang Y; Su JL; Chang C; Chen JY; Chen JG; Li JW
Front Oncol; 2024; 14():1337631. PubMed ID: 38476360
[TBL] [Abstract][Full Text] [Related]
12. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.
Yin P; Mao N; Zhao C; Wu J; Chen L; Hong N
J Magn Reson Imaging; 2019 Mar; 49(3):752-759. PubMed ID: 30430686
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Magnetic resonance imaging-based radiomics analysis of the differential diagnosis of ovarian clear cell carcinoma and endometrioid carcinoma: a retrospective study.
Takeyama N; Sasaki Y; Ueda Y; Tashiro Y; Tanaka E; Nagai K; Morioka M; Ogawa T; Tate G; Hashimoto T; Ohgiya Y
Jpn J Radiol; 2024 Mar; ():. PubMed ID: 38472624
[TBL] [Abstract][Full Text] [Related]
15. Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging.
Roy S; Whitehead TD; Quirk JD; Salter A; Ademuyiwa FO; Li S; An H; Shoghi KI
EBioMedicine; 2020 Sep; 59():102963. PubMed ID: 32891051
[TBL] [Abstract][Full Text] [Related]
16. Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status.
He J; Ren J; Niu G; Liu A; Wu Q; Xie S; Ma X; Li B; Wang P; Shen J; Wu J; Gao Y
BMC Med Imaging; 2022 Aug; 22(1):137. PubMed ID: 35931979
[TBL] [Abstract][Full Text] [Related]
17. Differentiation of parotid pleomorphic adenoma from Warthin tumor using signal intensity ratios on fat-suppressed T2-weighted magnetic resonance imaging.
Lin W; Ye W; Ma J; Wang S; Chen P; Yang Y; Yin B
Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 Mar; 137(3):310-319. PubMed ID: 38195353
[TBL] [Abstract][Full Text] [Related]
18. Imaging quality of PROPELLER diffusion-weighted MR imaging and its diagnostic performance in distinguishing pleomorphic adenomas from Warthin tumors of the parotid gland.
Liu YJ; Lee YH; Chang HC; Chung HW; Wang CW; Juan CH; Chu YH; Lee JC; Juan CJ
NMR Biomed; 2020 May; 33(5):e4282. PubMed ID: 32124504
[TBL] [Abstract][Full Text] [Related]
19. Texture analysis in the characterization of parotid salivary gland lesions: A study on MR diffusion weighted imaging.
Nardi C; Tomei M; Pietragalla M; Calistri L; Landini N; Bonomo P; Mannelli G; Mungai F; Bonasera L; Colagrande S
Eur J Radiol; 2021 Mar; 136():109529. PubMed ID: 33453571
[TBL] [Abstract][Full Text] [Related]
20. Extended Texture Analysis of Non-Enhanced Whole-Body MRI Image Data for Response Assessment in Multiple Myeloma Patients Undergoing Systemic Therapy.
Ekert K; Hinterleitner C; Baumgartner K; Fritz J; Horger M
Cancers (Basel); 2020 Mar; 12(3):. PubMed ID: 32213834
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
