650 related articles for article (PubMed ID: 35125822)
1. Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases.
Rompianesi G; Pegoraro F; Ceresa CD; Montalti R; Troisi RI
World J Gastroenterol; 2022 Jan; 28(1):108-122. PubMed ID: 35125822
[TBL] [Abstract][Full Text] [Related]
2. CT radiomics models are unable to predict new liver metastasis after successful thermal ablation of colorectal liver metastases.
Taghavi M; Staal FC; Simões R; Hong EK; Lambregts DM; van der Heide UA; Beets-Tan RG; Maas M
Acta Radiol; 2023 Jan; 64(1):5-12. PubMed ID: 34918955
[TBL] [Abstract][Full Text] [Related]
3. Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.
Wesdorp NJ; Zeeuw JM; Postma SCJ; Roor J; van Waesberghe JHTM; van den Bergh JE; Nota IM; Moos S; Kemna R; Vadakkumpadan F; Ambrozic C; van Dieren S; van Amerongen MJ; Chapelle T; Engelbrecht MRW; Gerhards MF; Grunhagen D; van Gulik TM; Hermans JJ; de Jong KP; Klaase JM; Liem MSL; van Lienden KP; Molenaar IQ; Patijn GA; Rijken AM; Ruers TM; Verhoef C; de Wilt JHW; Marquering HA; Stoker J; Swijnenburg RJ; Punt CJA; Huiskens J; Kazemier G
Eur Radiol Exp; 2023 Dec; 7(1):75. PubMed ID: 38038829
[TBL] [Abstract][Full Text] [Related]
4. Clinical added value of MRI to CT in patients scheduled for local therapy of colorectal liver metastases (CAMINO): study protocol for an international multicentre prospective diagnostic accuracy study.
Görgec B; Hansen I; Kemmerich G; Syversveen T; Abu Hilal M; Belt EJT; Bisschops RHC; Bollen TL; Bosscha K; Burgmans MC; Cappendijk V; De Boer MT; D'Hondt M; Edwin B; Gielkens H; Grünhagen DJ; Gillardin P; Gobardhan PD; Hartgrink HH; Horsthuis K; Kok NFM; Kint PAM; Kruimer JWH; Leclercq WKG; Lips DJ; Lutin B; Maas M; Marsman HA; Morone M; Pennings JP; Peringa J; Te Riele WW; Vermaas M; Wicherts D; Willemssen FEJA; Zonderhuis BM; Bossuyt PMM; Swijnenburg RJ; Fretland ÅA; Verhoef C; Besselink MG; Stoker J;
BMC Cancer; 2021 Oct; 21(1):1116. PubMed ID: 34663243
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence: A review of current applications in hepatocellular carcinoma imaging.
Pellat A; Barat M; Coriat R; Soyer P; Dohan A
Diagn Interv Imaging; 2023 Jan; 104(1):24-36. PubMed ID: 36272931
[TBL] [Abstract][Full Text] [Related]
6. Texture Features of Computed Tomography Image under the Artificial Intelligence Algorithm and Its Predictive Value for Colorectal Liver Metastasis.
Sun D; Dong J; Mu Y; Li F
Contrast Media Mol Imaging; 2022; 2022():2279018. PubMed ID: 35935311
[TBL] [Abstract][Full Text] [Related]
7. Advanced image analytics predicting clinical outcomes in patients with colorectal liver metastases: A systematic review of the literature.
Wesdorp NJ; van Goor VJ; Kemna R; Jansma EP; van Waesberghe JHTM; Swijnenburg RJ; Punt CJA; Huiskens J; Kazemier G
Surg Oncol; 2021 Sep; 38():101578. PubMed ID: 33866191
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence-based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT.
Wang C; Yu P; Zhang H; Han X; Song Z; Zheng G; Wang G; Zheng H; Mao N; Song X
Eur Radiol; 2023 Oct; 33(10):6828-6840. PubMed ID: 37178202
[TBL] [Abstract][Full Text] [Related]
10. Prediction of Local Tumor Progression After Microwave Ablation in Colorectal Carcinoma Liver Metastases Patients by MRI Radiomics and Clinical Characteristics-Based Combined Model: Preliminary Results.
Shahveranova A; Balli HT; Aikimbaev K; Piskin FC; Sozutok S; Yucel SP
Cardiovasc Intervent Radiol; 2023 Jun; 46(6):713-725. PubMed ID: 37156944
[TBL] [Abstract][Full Text] [Related]
11. Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer.
Qiu H; Ding S; Liu J; Wang L; Wang X
Curr Oncol; 2022 Mar; 29(3):1773-1795. PubMed ID: 35323346
[TBL] [Abstract][Full Text] [Related]
12. Imaging of Colorectal Liver Metastasis.
Baghdadi A; Mirpour S; Ghadimi M; Motaghi M; Hazhirkarzar B; Pawlik TM; Kamel IR
J Gastrointest Surg; 2022 Jan; 26(1):245-257. PubMed ID: 34664191
[TBL] [Abstract][Full Text] [Related]
13. Locoregional surgical and interventional therapies for advanced colorectal cancer liver metastases: expert consensus statements.
Abdalla EK; Bauer TW; Chun YS; D'Angelica M; Kooby DA; Jarnagin WR
HPB (Oxford); 2013 Feb; 15(2):119-30. PubMed ID: 23297723
[TBL] [Abstract][Full Text] [Related]
14. MRI-Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges.
Xia T; Zhao B; Li B; Lei Y; Song Y; Wang Y; Tang T; Ju S
J Magn Reson Imaging; 2024 Mar; 59(3):767-783. PubMed ID: 37647155
[TBL] [Abstract][Full Text] [Related]
15. Deep radiomics-based fusion model for prediction of bevacizumab treatment response and outcome in patients with colorectal cancer liver metastases: a multicentre cohort study.
Zhou S; Sun D; Mao W; Liu Y; Cen W; Ye L; Liang F; Xu J; Shi H; Ji Y; Wang L; Chang W
EClinicalMedicine; 2023 Nov; 65():102271. PubMed ID: 37869523
[TBL] [Abstract][Full Text] [Related]
16. Optical coherence tomography and convolutional neural networks can differentiate colorectal liver metastases from liver parenchyma ex vivo.
Amygdalos I; Hachgenei E; Burkl L; Vargas D; Goßmann P; Wolff LI; Druzenko M; Frye M; König N; Schmitt RH; Chrysos A; Jöchle K; Ulmer TF; Lambertz A; Knüchel-Clarke R; Neumann UP; Lang SA
J Cancer Res Clin Oncol; 2023 Jul; 149(7):3575-3586. PubMed ID: 35960377
[TBL] [Abstract][Full Text] [Related]
17. Prognostic role of artificial intelligence among patients with hepatocellular cancer: A systematic review.
Lai Q; Spoletini G; Mennini G; Laureiro ZL; Tsilimigras DI; Pawlik TM; Rossi M
World J Gastroenterol; 2020 Nov; 26(42):6679-6688. PubMed ID: 33268955
[TBL] [Abstract][Full Text] [Related]
18. Prediction of Clinical Precision Chemotherapy by Patient-Derived 3D Bioprinting Models of Colorectal Cancer and Its Liver Metastases.
Sun H; Sun L; Ke X; Liu L; Li C; Jin B; Wang P; Jiang Z; Zhao H; Yang Z; Sun Y; Liu J; Wang Y; Sun M; Pang M; Wang Y; Wu B; Zhao H; Sang X; Xing B; Yang H; Huang P; Mao Y
Adv Sci (Weinh); 2024 Jan; 11(2):e2304460. PubMed ID: 37973557
[TBL] [Abstract][Full Text] [Related]
19. [Considerations on the therapy of colorectal cancer liver metastasis in China].
Wang S; Shen ZL
Zhonghua Wei Chang Wai Ke Za Zhi; 2012 Oct; 15(10):993-6. PubMed ID: 23099895
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases.
Bakrania A; Joshi N; Zhao X; Zheng G; Bhat M
Pharmacol Res; 2023 Mar; 189():106706. PubMed ID: 36813095
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
