149 related articles for article (PubMed ID: 37537659)
21. Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma.
Xie D; Wang TT; Huang SJ; Deng JJ; Ren YJ; Yang Y; Wu JQ; Zhang L; Fei K; Sun XW; She YL; Chen C
Transl Lung Cancer Res; 2020 Aug; 9(4):1112-1123. PubMed ID: 32953490
[TBL] [Abstract][Full Text] [Related]
22. ctDNA guided adjuvant chemotherapy versus standard of care adjuvant chemotherapy after curative surgery in patients with high risk stage II or stage III colorectal cancer: a multi-centre, prospective, randomised control trial (TRACC Part C).
Slater S; Bryant A; Chen HC; Begum R; Rana I; Aresu M; Peckitt C; Zhitkov O; Lazaro-Alcausi R; Borja V; Powell R; Lowery D; Hubank M; Rich T; Anandappa G; Chau I; Starling N; Cunningham D
BMC Cancer; 2023 Mar; 23(1):257. PubMed ID: 36941575
[TBL] [Abstract][Full Text] [Related]
23. Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics.
Kim S; Lee JH; Park EJ; Lee HS; Baik SH; Jeon TJ; Lee KY; Ryu YH; Kang J
Yonsei Med J; 2023 May; 64(5):320-326. PubMed ID: 37114635
[TBL] [Abstract][Full Text] [Related]
24. A Routine Laboratory Data-Based Model for Predicting Recurrence After Curative Resection of Stage II Colorectal Cancer.
Ye Z; Wang C; Guo L; Palazzo JP; Han Z; Lai Y; Jiang J; Posey JA; Mallick AB; Li B; Jiang L; Yang H
J Natl Compr Canc Netw; 2018 Oct; 16(10):1183-1192. PubMed ID: 30323088
[No Abstract] [Full Text] [Related]
25. Development and validation of an [
Takahashi N; Tanaka S; Umezawa R; Takanami K; Takeda K; Yamamoto T; Suzuki Y; Katsuta Y; Kadoya N; Jingu K
Acta Oncol; 2023 Feb; 62(2):159-165. PubMed ID: 36794365
[TBL] [Abstract][Full Text] [Related]
26. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
27. Elevated tumor-to-liver uptake ratio (TLR) from
Huang J; Huang L; Zhou J; Duan Y; Zhang Z; Wang X; Huang P; Tan S; Hu P; Wang J; Huang M
Eur J Nucl Med Mol Imaging; 2017 Nov; 44(12):1958-1968. PubMed ID: 28812134
[TBL] [Abstract][Full Text] [Related]
28. CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases.
Taghavi M; Staal F; Gomez Munoz F; Imani F; Meek DB; Simões R; Klompenhouwer LG; van der Heide UA; Beets-Tan RGH; Maas M
Cardiovasc Intervent Radiol; 2021 Jun; 44(6):913-920. PubMed ID: 33506278
[TBL] [Abstract][Full Text] [Related]
29. Intratumoral and Peritumoral Radiomics of Contrast-Enhanced CT for Prediction of Disease-Free Survival and Chemotherapy Response in Stage II/III Gastric Cancer.
Li J; Zhang C; Wei J; Zheng P; Zhang H; Xie Y; Bai J; Zhu Z; Zhou K; Liang X; Xie Y; Qin T
Front Oncol; 2020; 10():552270. PubMed ID: 33425719
[TBL] [Abstract][Full Text] [Related]
30. Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.
Dong X; Dan X; Yawen A; Haibo X; Huan L; Mengqi T; Linglong C; Zhao R
Thorac Cancer; 2020 Sep; 11(9):2650-2659. PubMed ID: 32767522
[TBL] [Abstract][Full Text] [Related]
31. The usefulness of machine-learning-based evaluation of clinical and pretreatment
Nakajo M; Nagano H; Jinguji M; Kamimura Y; Masuda K; Takumi K; Tani A; Hirahara D; Kariya K; Yamashita M; Yoshiura T
Br J Radiol; 2023 Sep; 96(1149):20220772. PubMed ID: 37393538
[TBL] [Abstract][Full Text] [Related]
32.
Li P; Wang X; Xu C; Liu C; Zheng C; Fulham MJ; Feng D; Wang L; Song S; Huang G
Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1116-1126. PubMed ID: 31982990
[TBL] [Abstract][Full Text] [Related]
33. [
Ferreira M; Lovinfosse P; Hermesse J; Decuypere M; Rousseau C; Lucia F; Schick U; Reinhold C; Robin P; Hatt M; Visvikis D; Bernard C; Leijenaar RTH; Kridelka F; Lambin P; Meyer PE; Hustinx R
Eur J Nucl Med Mol Imaging; 2021 Oct; 48(11):3432-3443. PubMed ID: 33772334
[TBL] [Abstract][Full Text] [Related]
34. Incorporating SULF1 polymorphisms in a pretreatment CT-based radiomic model for predicting platinum resistance in ovarian cancer treatment.
Yi X; Liu Y; Zhou B; Xiang W; Deng A; Fu Y; Zhao Y; Ouyang Q; Liu Y; Sun Z; Zhang K; Li X; Zeng F; Zhou H; Chen BT
Biomed Pharmacother; 2021 Jan; 133():111013. PubMed ID: 33227705
[TBL] [Abstract][Full Text] [Related]
35. Assessment of Duration and Effects of 3 vs 6 Months of Adjuvant Chemotherapy in High-Risk Stage II Colorectal Cancer: A Subgroup Analysis of the TOSCA Randomized Clinical Trial.
Petrelli F; Labianca R; Zaniboni A; Lonardi S; Galli F; Rulli E; Rosati G; Corallo S; Ronzoni M; Cardellino GG; Mattioli R; Mambrini A; Ciuffreda L; Banzi M; Pusceddu V; Maiello E; Zampino M; Zagonel V; Marchetti P; Corsi D; Rimassa L; Cinieri S; Sobrero A
JAMA Oncol; 2020 Apr; 6(4):547-551. PubMed ID: 32053133
[TBL] [Abstract][Full Text] [Related]
36. Prognostic and predictive value of a microRNA signature in stage II colon cancer: a microRNA expression analysis.
Zhang JX; Song W; Chen ZH; Wei JH; Liao YJ; Lei J; Hu M; Chen GZ; Liao B; Lu J; Zhao HW; Chen W; He YL; Wang HY; Xie D; Luo JH
Lancet Oncol; 2013 Dec; 14(13):1295-306. PubMed ID: 24239208
[TBL] [Abstract][Full Text] [Related]
37. Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study.
Liang L; Ding Y; Yu Y; Liu K; Rao S; Ge Y; Zeng M
BMC Med Imaging; 2021 Apr; 21(1):75. PubMed ID: 33902469
[TBL] [Abstract][Full Text] [Related]
38. Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation.
Golia Pernicka JS; Gagniere J; Chakraborty J; Yamashita R; Nardo L; Creasy JM; Petkovska I; Do RRK; Bates DDB; Paroder V; Gonen M; Weiser MR; Simpson AL; Gollub MJ
Abdom Radiol (NY); 2019 Nov; 44(11):3755-3763. PubMed ID: 31250180
[TBL] [Abstract][Full Text] [Related]
39. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.
Jiang Y; Liang X; Han Z; Wang W; Xi S; Li T; Chen C; Yuan Q; Li N; Yu J; Xie Y; Xu Y; Zhou Z; Poultsides GA; Li G; Li R
Lancet Digit Health; 2021 Jun; 3(6):e371-e382. PubMed ID: 34045003
[TBL] [Abstract][Full Text] [Related]
40. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
