166 related articles for article (PubMed ID: 38373912)
1. Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma.
Chen X; Guo Q; Chen X; Zheng W; Kang Y; Cao D
BMC Med Imaging; 2024 Feb; 24(1):48. PubMed ID: 38373912
[TBL] [Abstract][Full Text] [Related]
2. Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation.
Marconi DG; Fregnani JH; Rossini RR; Netto AK; Lucchesi FR; Tsunoda AT; Kamrava M
BMC Cancer; 2016 Jul; 16():556. PubMed ID: 27469349
[TBL] [Abstract][Full Text] [Related]
3. Differentiating between adult intracranial medulloblastoma and ependymoma using MRI.
Deng J; Xue C; Liu X; Li S; Zhou J
Clin Radiol; 2023 Mar; 78(3):e288-e293. PubMed ID: 36646528
[TBL] [Abstract][Full Text] [Related]
4. Quantitative apparent diffusion coefficient metrics for MRI-only suspicious breast lesions: any added clinical value?
Li X; Wang H; Gao J; Jiang L; Chen M
Quant Imaging Med Surg; 2023 Oct; 13(10):7092-7104. PubMed ID: 37869329
[TBL] [Abstract][Full Text] [Related]
5. Can the apparent diffusion coefficient differentiate the grade of endometrioid adenocarcinoma and the histological subtype of endometrial cancer?
Yan B; Zhao T; Liang X; Niu C; Ding C
Acta Radiol; 2018 Mar; 59(3):363-370. PubMed ID: 28696169
[TBL] [Abstract][Full Text] [Related]
6. Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study.
Yang L; Wang L; Tan Y; Dan H; Xian P; Zhang Y; Tan Y; Lin M; Zhang J
Cancer Imaging; 2023 Jan; 23(1):3. PubMed ID: 36611191
[TBL] [Abstract][Full Text] [Related]
7. Whole-tumor histogram analysis of multiparametric breast magnetic resonance imaging to differentiate pure mucinous breast carcinomas from fibroadenomas with high-signal intensity on T2WI.
Li X; Chai W; Sun K; Zhu H; Yan F
Magn Reson Imaging; 2024 Feb; 106():8-17. PubMed ID: 38035946
[TBL] [Abstract][Full Text] [Related]
8. Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas.
Dai M; Liu Y; Hu Y; Li G; Zhang J; Xiao Z; Lv F
Eur Radiol; 2022 Nov; 32(11):7988-7997. PubMed ID: 35583712
[TBL] [Abstract][Full Text] [Related]
9. Endometrioid adenocarcinoma: combined multiparametric MRI and tumour marker HE4 to evaluate tumour grade and lymphovascular space invasion.
Yue XN; He XY; Wu JJ; Fan W; Zhang HJ; Wang CW
Clin Radiol; 2023 Aug; 78(8):e574-e581. PubMed ID: 37183140
[TBL] [Abstract][Full Text] [Related]
10. Diffusion-weighted MRI at 3T in Endometrial Cancer: Correlation of Apparent Diffusion Coefficient with Histopathological Prognostic Parameters.
Ozturk M; Kalkan C; Danaci M; Kefeli M
J Coll Physicians Surg Pak; 2021 Dec; 31(12):1399-1405. PubMed ID: 34794277
[TBL] [Abstract][Full Text] [Related]
11. The mean apparent diffusion coefficient value (ADCmean) on primary cervical cancer is a predictive marker for disease recurrence.
Nakamura K; Joja I; Nagasaka T; Fukushima C; Kusumoto T; Seki N; Hongo A; Kodama J; Hiramatsu Y
Gynecol Oncol; 2012 Dec; 127(3):478-83. PubMed ID: 22892362
[TBL] [Abstract][Full Text] [Related]
12. Influence of menstrual status and pathological type on the apparent diffusion coefficient in cervical cancer: a primary study.
Dong Y; Dong RT; Zhang XM; Song QL; Yu T; Hong Luo Y
Acta Radiol; 2021 Mar; 62(3):430-436. PubMed ID: 32536261
[TBL] [Abstract][Full Text] [Related]
13. Pathological characteristics and risk stratification in patients with stage I endometrial cancer: utility of apparent diffusion coefficient histogram analysis.
An T; Kim CK
Br J Radiol; 2021 Oct; 94(1126):20210151. PubMed ID: 34233478
[TBL] [Abstract][Full Text] [Related]
14. The value of the apparent diffusion coefficient in differentiating type II from type I endometrial carcinoma.
Chen J; Fan W; Gu H; Wang Y; Liu Y; Chen X; Ren S; Wang Z
Acta Radiol; 2021 Jul; 62(7):959-965. PubMed ID: 32727213
[TBL] [Abstract][Full Text] [Related]
15. Preoperative prediction of deep myometrial invasion and tumor grade for stage I endometrioid adenocarcinoma: a simple method of measurement on DWI.
Yan B; Liang X; Zhao T; Niu C; Ding C; Liu W
Eur Radiol; 2019 Feb; 29(2):838-848. PubMed ID: 30039225
[TBL] [Abstract][Full Text] [Related]
16. Is the Oncological Outcome of Early Stage Uterine Carcinosarcoma Different from That of Grade 3 Endometrioid Adenocarcinoma?
Güngördük K; Plett H; Gülseren V; Meydanlı M; Boyraz G; Özdemir İ; Şahin H; Şenol T; Yıldırım N; Turan T; Öge T; Gökçü M; Taşkın S; Ayhan A; Ataseven B
Oncol Res Treat; 2021; 44(1-2):43-51. PubMed ID: 33249415
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.
Nakagawa M; Nakaura T; Namimoto T; Iyama Y; Kidoh M; Hirata K; Nagayama Y; Yuki H; Oda S; Utsunomiya D; Yamashita Y
Acad Radiol; 2019 Oct; 26(10):1390-1399. PubMed ID: 30661978
[TBL] [Abstract][Full Text] [Related]
18. Multiparametric Framework Magnetic Resonance Imaging Assessment of Subtypes of Intracranial Germ Cell Tumors Using Susceptibility Weighted Imaging, Diffusion-Weighted Imaging, and Dynamic Susceptibility-Contrast Perfusion-Weighted Imaging Combined With Conventional Magnetic Resonance Imaging.
Li Y; Wang P; Zhang J; Li J; Chen L; Qiu X
J Magn Reson Imaging; 2022 Oct; 56(4):1232-1242. PubMed ID: 35278008
[TBL] [Abstract][Full Text] [Related]
19. Application of apparent diffusion coefficient values derived from diffusion-weighted imaging for assessing different sized metastatic lymph nodes in cervical cancers.
Zhang A; Song J; Ma Z; Chen T
Acta Radiol; 2020 Jun; 61(6):848-855. PubMed ID: 31615267
[TBL] [Abstract][Full Text] [Related]
20. Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps.
Yin JD; Song LR; Lu HC; Zheng X
World J Gastroenterol; 2020 May; 26(17):2082-2096. PubMed ID: 32536776
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]