144 related articles for article (PubMed ID: 35574447)
1. Endoscopy-Based Deep Convolutional Neural Network Predicts Response to Neoadjuvant Treatment for Locally Advanced Rectal Cancer.
Chen X; Chen J; He X; Xu L; Liu W; Lin D; Luo Y; Feng Y; Lian L; Hu J; Lan P
Front Physiol; 2022; 13():880981. PubMed ID: 35574447
[No Abstract] [Full Text] [Related]
2. [Analysis on efficacy and safety of total neoadjuvant therapy in patients with locally advanced rectal cancer with high risk factors].
Ouyang GL; Meng WJ; Shu P; Deng XB; Wu B; Jiang D; Zhuang H; Shen YL; Zhou ZG; Wang ZQ; Wang X
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 Apr; 22(4):349-356. PubMed ID: 31054549
[No Abstract] [Full Text] [Related]
3. [Short-course radiotherapy combined with CAPOX and PD-1 inhibitor for the total neoadjuvant therapy of locally advanced rectal cancer: the preliminary single-center findings of a prospective, multicentre, randomized phase II trial (TORCH)].
Wang YQ; Shen LJ; Wan JF; Zhang H; Wang Y; Wu X; Wang JW; Wang RJ; Sun YQ; Tong T; Huang D; Wang L; Sheng WQ; Zhang X; Cai GX; Xu Y; Cai SJ; Zhang Z; Xia F
Zhonghua Wei Chang Wai Ke Za Zhi; 2023 May; 26(5):448-458. PubMed ID: 37217353
[No Abstract] [Full Text] [Related]
4. Nomograms for predicting pathological response to neoadjuvant treatments in patients with rectal cancer.
Ren DL; Li J; Yu HC; Peng SY; Lin WD; Wang XL; Ghoorun RA; Luo YX
World J Gastroenterol; 2019 Jan; 25(1):118-137. PubMed ID: 30643363
[TBL] [Abstract][Full Text] [Related]
5. Diffusion and perfusion MR parameters to assess preoperative short-course radiotherapy response in locally advanced rectal cancer: a comparative explorative study among Standardized Index of Shape by DCE-MRI, intravoxel incoherent motion- and diffusion kurtosis imaging-derived parameters.
Fusco R; Sansone M; Granata V; Grimm R; Pace U; Delrio P; Tatangelo F; Botti G; Avallone A; Pecori B; Petrillo A
Abdom Radiol (NY); 2019 Nov; 44(11):3683-3700. PubMed ID: 30361867
[TBL] [Abstract][Full Text] [Related]
6. Combined Detection of RUNX3 and EZH2 in Evaluating Efficacy of Neoadjuvant Therapy and Prognostic Value of Middle and Low Locally Advanced Rectal Cancer.
Wang L; Wu X; Xu W; Gao L; Wang X; Li T
Front Oncol; 2022; 12():713335. PubMed ID: 35280723
[TBL] [Abstract][Full Text] [Related]
7. A Novel Model Based on Deep Convolutional Neural Network Improves Diagnostic Accuracy of Intramucosal Gastric Cancer (With Video).
Tang D; Zhou J; Wang L; Ni M; Chen M; Hassan S; Luo R; Chen X; He X; Zhang L; Ding X; Yu H; Xu G; Zou X
Front Oncol; 2021; 11():622827. PubMed ID: 33959495
[TBL] [Abstract][Full Text] [Related]
8. College of American Pathologists Tumor Regression Grading System for Long-Term Outcome in Patients with Locally Advanced Rectal Cancer.
Chen HY; Feng LL; Li M; Ju HQ; Ding Y; Lan M; Song SM; Han WD; Yu L; Wei MB; Pang XL; He F; Liu S; Zheng J; Ma Y; Lin CY; Lan P; Huang MJ; Zou YF; Yang ZL; Wang T; Lang JY; Orangio GR; Poylin V; Ajani JA; Wang WH; Wan XB
Oncologist; 2021 May; 26(5):e780-e793. PubMed ID: 33543577
[TBL] [Abstract][Full Text] [Related]
9. Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.
Li X; Zhang S; Zhang Q; Wei X; Pan Y; Zhao J; Xin X; Qin C; Wang X; Li J; Yang F; Zhao Y; Yang M; Wang Q; Zheng Z; Zheng X; Yang X; Whitlow CT; Gurcan MN; Zhang L; Wang X; Pasche BC; Gao M; Zhang W; Chen K
Lancet Oncol; 2019 Feb; 20(2):193-201. PubMed ID: 30583848
[TBL] [Abstract][Full Text] [Related]
10. Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.
Williams H; Thompson HM; Lee C; Rangnekar A; Gomez JT; Widmar M; Wei IH; Pappou EP; Nash GM; Weiser MR; Paty PB; Smith JJ; Veeraraghavan H; Garcia-Aguilar J
Ann Surg Oncol; 2024 May; ():. PubMed ID: 38700799
[TBL] [Abstract][Full Text] [Related]
11. [Predictive value of combination of MRI tumor regression grade and apparent diffusion coefficient for pathological complete remission after neoadjuvant treatment of locally advanced rectal cancer].
Xu N; Huang FC; Li WL; Luan X; Jiang YM; He B
Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Apr; 24(4):359-365. PubMed ID: 33878826
[No Abstract] [Full Text] [Related]
12. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
13. [Comparison of long-term efficacy between watch and wait strategy and total mesorectal excision in locally advanced rectal cancer patients with clinical complete response after neoadjuvant therapy].
Wang XH; Zhou CJ; Zhang S; Wang QX; Xiao WW; Ding PR; Chen G; Pan ZZ; Zeng ZF; Gao YH
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Mar; 23(3):266-273. PubMed ID: 32192306
[No Abstract] [Full Text] [Related]
14. Deep learning of endoscopic features for the assessment of neoadjuvant therapy response in locally advanced rectal cancer.
Wang A; Zhou J; Wang G; Zhang B; Xin H; Zhou H
Asian J Surg; 2023 Sep; 46(9):3568-3574. PubMed ID: 37062601
[TBL] [Abstract][Full Text] [Related]
15. [A prediction model of pathological complete response in patients with locally advanced rectal cancer after PD-1 antibody combined with total neoadjuvant chemoradiotherapy based on MRI radiomics].
Zhang XY; Zhu HT; Li XT; Li YJ; Li ZW; Wang WH; Wu AW; Sun YS; Zhang L
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Mar; 25(3):228-234. PubMed ID: 35340172
[No Abstract] [Full Text] [Related]
16. Development and external validation of prognostic nomograms for liver disease-free and overall survival in locally advanced rectal cancer with neoadjuvant therapy: a post cohort study based on the FOWARC trial.
Zhou J; Li T; Xiao Y; Lin J; Chen X; Peng S; Huang M; Shi X; Cai L; Huang P; Huang M
Ann Transl Med; 2022 Jun; 10(12):694. PubMed ID: 35845530
[TBL] [Abstract][Full Text] [Related]
17. Prediction of Parkinson's disease by transcranial sonography-based deep learning.
Ding CW; Ren YK; Wang CS; Zhang YC; Zhang Y; Yang M; Mao P; Sheng YJ; Chen XF; Liu CF
Neurol Sci; 2024 Jun; 45(6):2641-2650. PubMed ID: 37985633
[TBL] [Abstract][Full Text] [Related]
18. A Deep Learning Model to Predict the Response to Neoadjuvant Chemoradiotherapy by the Pretreatment Apparent Diffusion Coefficient Images of Locally Advanced Rectal Cancer.
Zhu HT; Zhang XY; Shi YJ; Li XT; Sun YS
Front Oncol; 2020; 10():574337. PubMed ID: 33194680
[TBL] [Abstract][Full Text] [Related]
19. Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer.
Tang Z; Zhang XY; Liu Z; Li XT; Shi YJ; Wang S; Fang M; Shen C; Dong E; Sun YS; Tian J
Radiother Oncol; 2019 Mar; 132():100-108. PubMed ID: 30825957
[TBL] [Abstract][Full Text] [Related]
20. Utility of ctDNA in predicting response to neoadjuvant chemoradiotherapy and prognosis assessment in locally advanced rectal cancer: A prospective cohort study.
Wang Y; Yang L; Bao H; Fan X; Xia F; Wan J; Shen L; Guan Y; Bao H; Wu X; Xu Y; Shao Y; Sun Y; Tong T; Li X; Xu Y; Cai S; Zhu J; Zhang Z
PLoS Med; 2021 Aug; 18(8):e1003741. PubMed ID: 34464382
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
