130 related articles for article (PubMed ID: 35662510)
1. A spectral CT-based nomogram for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.
Liao H; Pei W; Wei Y; Liu Y; Liang X; Bao H; Wang C; Su D
Clin Radiol; 2022 Aug; 77(8):600-606. PubMed ID: 35662510
[TBL] [Abstract][Full Text] [Related]
2. Pretreatment dual-energy CT for predicting early response to induction chemotherapy and survival in nasopharyngeal carcinoma.
Zhan Y; Wang Y; Wang P; Wang Y; Ni X; Wang J; Tang Z
Eur Radiol; 2023 Dec; 33(12):9052-9062. PubMed ID: 37405505
[TBL] [Abstract][Full Text] [Related]
3. Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.
Peng H; Dong D; Fang MJ; Li L; Tang LL; Chen L; Li WF; Mao YP; Fan W; Liu LZ; Tian L; Lin AH; Sun Y; Tian J; Ma J
Clin Cancer Res; 2019 Jul; 25(14):4271-4279. PubMed ID: 30975664
[TBL] [Abstract][Full Text] [Related]
4. Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancer.
Deng J; Zhang W; Xu M; Liu X; Ren T; Li S; Sun Q; Xue C; Zhou J
Clin Radiol; 2024 Jan; 79(1):51-59. PubMed ID: 37914603
[TBL] [Abstract][Full Text] [Related]
5. Nomograms based on multiparametric MRI radiomics integrated with clinical-radiological features for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.
Chen Z; Wang Z; Liu S; Zhang S; Zhou Y; Zhang R; Yang W
Eur J Radiol; 2024 Jun; 175():111438. PubMed ID: 38613869
[TBL] [Abstract][Full Text] [Related]
6. Dual-energy CT in the differentiation of stage T1 nasopharyngeal carcinoma and lymphoid hyperplasia.
Wang P; Xiao Z; Tang Z; Wang J
Eur J Radiol; 2020 Mar; 124():108824. PubMed ID: 31954331
[TBL] [Abstract][Full Text] [Related]
7. CT-based peritumoral radiomics nomogram on prediction of response and survival to induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.
Zeng F; Ye Z; Zhou Q
J Cancer Res Clin Oncol; 2024 Jan; 150(2):50. PubMed ID: 38286865
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric dual-energy CT for distinguishing nasopharyngeal carcinoma from nasopharyngeal lymphoma.
Shen H; Yuan X; Liu D; Huang Y; Wang Y; Jiang S; Zhang J
Eur J Radiol; 2021 Mar; 136():109532. PubMed ID: 33450663
[TBL] [Abstract][Full Text] [Related]
9. Quantitative parameters in novel spectral computed tomography: Assessment of Ki-67 expression in patients with gastric adenocarcinoma.
Mao LT; Chen WC; Lu JY; Zhang HL; Ye YS; Zhang Y; Liu B; Deng WW; Liu X
World J Gastroenterol; 2023 Mar; 29(10):1602-1613. PubMed ID: 36970586
[TBL] [Abstract][Full Text] [Related]
10. Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules.
Song Z; Li Q; Zhang D; Li X; Yu J; Liu Q; Li Z; Huang J; Zhang X; Tang Z
Cancer Imaging; 2023 Jan; 23(1):13. PubMed ID: 36703218
[TBL] [Abstract][Full Text] [Related]
11. The comparison of prognostic value of tumour volumetric regression ratio and RECIST 1.1 criteria after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.
Zeng YY; Xiang ZZ; He T; Liu F; Shao BF; Yan RN; Ma JC; Wang XR; Liu L
Oral Oncol; 2020 Dec; 111():104924. PubMed ID: 32736209
[TBL] [Abstract][Full Text] [Related]
12. A dynamic nomogram combining tumor stage and magnetic resonance imaging features to predict the response to induction chemotherapy in locally advanced nasopharyngeal carcinoma.
Jiang Y; Liang Z; Chen K; Li Y; Yang J; Qu S; Li L; Zhu X
Eur Radiol; 2023 Mar; 33(3):2171-2184. PubMed ID: 36355201
[TBL] [Abstract][Full Text] [Related]
13. MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma.
Zhao L; Gong J; Xi Y; Xu M; Li C; Kang X; Yin Y; Qin W; Yin H; Shi M
Eur Radiol; 2020 Jan; 30(1):537-546. PubMed ID: 31372781
[TBL] [Abstract][Full Text] [Related]
14. Comparison of the pre-treatment functional MRI metrics' efficacy in predicting Locoregionally advanced nasopharyngeal carcinoma response to induction chemotherapy.
Zhao DW; Fan WJ; Meng LL; Luo YR; Wei J; Liu K; Liu G; Li JF; Zang X; Li M; Zhang XX; Ma L
Cancer Imaging; 2021 Nov; 21(1):59. PubMed ID: 34758876
[TBL] [Abstract][Full Text] [Related]
15. Nomogram combining pre-operative clinical characteristics and spectral CT parameters for predicting the WHO/ISUP pathological grading in clear cell renal cell carcinoma.
Zhang H; Li F; Jing M; Xi H; Zheng Y; Liu J
Abdom Radiol (NY); 2024 Apr; 49(4):1185-1193. PubMed ID: 38340180
[TBL] [Abstract][Full Text] [Related]
16. MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.
Liao H; Chen X; Lu S; Jin G; Pei W; Li Y; Wei Y; Huang X; Wang C; Liang X; Bao H; Liu L; Su D
J Magn Reson Imaging; 2022 Aug; 56(2):547-559. PubMed ID: 34970824
[TBL] [Abstract][Full Text] [Related]
17. Radiomic analysis of MRI for prediction of response to induction chemotherapy in nasopharyngeal carcinoma patients.
Wang A; Xu H; Zhang C; Ren J; Liu J; Zhou P
Clin Radiol; 2023 Sep; 78(9):e644-e653. PubMed ID: 37331848
[TBL] [Abstract][Full Text] [Related]
18. Papillary thyroid cancer: dual-energy spectral CT quantitative parameters for preoperative diagnosis of metastasis to the cervical lymph nodes.
Liu X; Ouyang D; Li H; Zhang R; Lv Y; Yang A; Xie C
Radiology; 2015 Apr; 275(1):167-76. PubMed ID: 25521777
[TBL] [Abstract][Full Text] [Related]
19. Correlation between dual-energy spectral CT imaging parameters and pathological grades of non-small cell lung cancer.
Lin LY; Zhang Y; Suo ST; Zhang F; Cheng JJ; Wu HW
Clin Radiol; 2018 Apr; 73(4):412.e1-412.e7. PubMed ID: 29221718
[TBL] [Abstract][Full Text] [Related]
20. Correlation with Spectral CT Imaging Parameters and Occult Lymph Nodes Metastases in Sufferers with Isolated Lung Adenocarcinoma.
Liu Y; Nie Y
Contrast Media Mol Imaging; 2022; 2022():5472446. PubMed ID: 35833081
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]