153 related articles for article (PubMed ID: 36324067)
1. Histogram-based analysis of diffusion-weighted imaging for predicting aggressiveness in papillary thyroid carcinoma.
Wei R; Zhuang Y; Wang L; Sun X; Dai Z; Ge Y; Wang H; Song B
BMC Med Imaging; 2022 Nov; 22(1):188. PubMed ID: 36324067
[TBL] [Abstract][Full Text] [Related]
2. Differentiation between malignant and benign thyroid nodules and stratification of papillary thyroid cancer with aggressive histological features: Whole-lesion diffusion-weighted imaging histogram analysis.
Hao Y; Pan C; Chen W; Li T; Zhu W; Qi J
J Magn Reson Imaging; 2016 Dec; 44(6):1546-1555. PubMed ID: 27093648
[TBL] [Abstract][Full Text] [Related]
3. Quantitative Non-Gaussian Intravoxel Incoherent Motion Diffusion-Weighted Imaging Metrics and Surgical Pathology for Stratifying Tumor Aggressiveness in Papillary Thyroid Carcinomas.
Núñez DA; Lu Y; Paudyal R; Hatzoglou V; Moreira AL; Oh JH; Stambuk HE; Mazaheri Y; Gonen M; Ghossein RA; Shaha AR; Tuttle RM; Shukla-Dave A
Tomography; 2019 Mar; 5(1):26-35. PubMed ID: 30854439
[TBL] [Abstract][Full Text] [Related]
4. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
Wang H; Song B; Ye N; Ren J; Sun X; Dai Z; Zhang Y; Chen BT
Eur J Radiol; 2020 Jan; 122():108755. PubMed ID: 31783344
[TBL] [Abstract][Full Text] [Related]
5. Magnetic resonance imaging in the prediction of aggressive histological features in papillary thyroid carcinoma.
Song B; Wang H; Chen Y; Liu W; Wei R; Dai Z; Hu W; Ding Y; Wang L
Medicine (Baltimore); 2018 Jun; 97(26):e11279. PubMed ID: 29953007
[TBL] [Abstract][Full Text] [Related]
6. Efficacy of apparent diffusion coefficient in predicting aggressive histological features of papillary thyroid carcinoma.
Song B; Wang H; Chen Y; Liu W; Wei R; Ding Y
Diagn Interv Radiol; 2018 Nov; 24(6):348-356. PubMed ID: 30373722
[TBL] [Abstract][Full Text] [Related]
7. Using diffusion-weighted MRI to predict aggressive histological features in papillary thyroid carcinoma: a novel tool for pre-operative risk stratification in thyroid cancer.
Lu Y; Moreira AL; Hatzoglou V; Stambuk HE; Gonen M; Mazaheri Y; Deasy JO; Shaha AR; Tuttle RM; Shukla-Dave A
Thyroid; 2015 Jun; 25(6):672-80. PubMed ID: 25809949
[TBL] [Abstract][Full Text] [Related]
8. T1 mapping and reduced field-of-view DWI at 3.0 T MRI for differentiation of thyroid papillary carcinoma from nodular goiter.
Yuan L; Zhao P; Lin X; Yu T; Diao R; Ning G
Clin Physiol Funct Imaging; 2023 May; 43(3):137-145. PubMed ID: 36440541
[TBL] [Abstract][Full Text] [Related]
9. Using Diffusion-Weighted MRI to Predict Central Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Feasibility Study.
Zhang H; Hu S; Wang X; Liu W; He J; Sun Z; Ge Y; Dou W
Front Endocrinol (Lausanne); 2020; 11():326. PubMed ID: 32595598
[No Abstract] [Full Text] [Related]
10. Can Diffusion-Weighted MR Imaging Be Used as a Tool to Predict Extrathyroidal Extension in Papillary Thyroid Carcinoma?
Hu S; Zhang H; Wang X; Sun Z; Ge Y; Li J; Dou W
Acad Radiol; 2021 Apr; 28(4):467-474. PubMed ID: 32303443
[TBL] [Abstract][Full Text] [Related]
11. Risk stratification of ductal carcinoma in situ using whole-lesion histogram analysis of the apparent diffusion coefficient.
Kim JY; Kim JJ; Lee JW; Lee NK; Lee G; Kang T; Park H; Son YH; Grimm R
Eur Radiol; 2019 Feb; 29(2):485-493. PubMed ID: 30073498
[TBL] [Abstract][Full Text] [Related]
12. Magnetic Resonance Imaging Characteristics of Papillary Thyroid Carcinoma for the Prediction of Cervical Central Compartment Lymph Node Metastasis.
Wang H; Liu K; Ren J; Liu W; Chen Y; Song B
J Comput Assist Tomogr; 2019; 43(6):963-969. PubMed ID: 31162232
[TBL] [Abstract][Full Text] [Related]
13. Magnetic resonance imaging (MRI) radiomics of papillary thyroid cancer (PTC): a comparison of predictive performance of multiple classifiers modeling to identify cervical lymph node metastases before surgery.
Qin H; Que Q; Lin P; Li X; Wang XR; He Y; Chen JQ; Yang H
Radiol Med; 2021 Oct; 126(10):1312-1327. PubMed ID: 34236572
[TBL] [Abstract][Full Text] [Related]
14. Dynamic contrast-enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers.
Paudyal R; Lu Y; Hatzoglou V; Moreira A; Stambuk HE; Oh JH; Cunanan KM; Aramburu Nunez D; Mazaheri Y; Gonen M; Ho A; Fagin JA; Wong RJ; Shaha A; Tuttle RM; Shukla-Dave A
NMR Biomed; 2020 Jan; 33(1):e4166. PubMed ID: 31680360
[TBL] [Abstract][Full Text] [Related]
15. Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions.
Zhang J; Yu X; Zhang X; Chen S; Song Y; Xie L; Chen Y; Ouyang H
BMC Med Imaging; 2022 Aug; 22(1):139. PubMed ID: 35941559
[TBL] [Abstract][Full Text] [Related]
16. Orbital Indeterminate Lesions in Adults: Combined Magnetic Resonance Morphometry and Histogram Analysis of Apparent Diffusion Coefficient Maps for Predicting Malignancy.
Xu XQ; Hu H; Su GY; Zhang L; Liu H; Hong XN; Shi HB; Wu FY
Acad Radiol; 2016 Feb; 23(2):200-8. PubMed ID: 26625705
[TBL] [Abstract][Full Text] [Related]
17. Multimodality MRI-based radiomics for aggressiveness prediction in papillary thyroid cancer.
Dai Z; Wei R; Wang H; Hu W; Sun X; Zhu J; Li H; Ge Y; Song B
BMC Med Imaging; 2022 Mar; 22(1):54. PubMed ID: 35331162
[TBL] [Abstract][Full Text] [Related]
18. Whole-tumor histogram analysis of apparent diffusion coefficient maps with machine learning algorithms for predicting histologic grade of sinonasal squamous cell carcinoma: a preliminary study.
Geng Y; Hong R; Cheng Y; Zhang F; Sha Y; Song Y
Eur Arch Otorhinolaryngol; 2023 Sep; 280(9):4131-4140. PubMed ID: 37160465
[TBL] [Abstract][Full Text] [Related]
19. Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer.
Schob S; Meyer HJ; Dieckow J; Pervinder B; Pazaitis N; Höhn AK; Garnov N; Horvath-Rizea D; Hoffmann KT; Surov A
Int J Mol Sci; 2017 Apr; 18(4):. PubMed ID: 28417929
[TBL] [Abstract][Full Text] [Related]
20. Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma.
Ren J; Yuan Y; Tao X
Eur Radiol; 2022 Apr; 32(4):2739-2747. PubMed ID: 34642806
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
