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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1985 1
1986 1
1988 1
1989 2
1992 2
1993 1
1995 2
1996 3
1997 1
1998 2
1999 3
2000 1
2001 2
2004 4
2005 4
2006 1
2008 1
2009 1
2010 4
2011 3
2013 4
2014 3
2015 2
2016 5
2017 4
2018 3
2019 2
2020 7
2021 4
2022 3
2023 3
2024 0

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79 results

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Page 1
Managing synchronous liver metastases from colorectal cancer: a multidisciplinary international consensus.
Adam R, de Gramont A, Figueras J, Kokudo N, Kunstlinger F, Loyer E, Poston G, Rougier P, Rubbia-Brandt L, Sobrero A, Teh C, Tejpar S, Van Cutsem E, Vauthey JN, Påhlman L; of the EGOSLIM (Expert Group on OncoSurgery management of LIver Metastases) group. Adam R, et al. Cancer Treat Rev. 2015 Nov;41(9):729-41. doi: 10.1016/j.ctrv.2015.06.006. Epub 2015 Jun 30. Cancer Treat Rev. 2015. PMID: 26417845 Free article. Review.
Extracellular Volume Fraction Calculated Using Contrast-Enhanced Computed Tomography as a Biomarker of Oxaliplatin-Induced Sinusoidal Obstruction Syndrome: A Preliminary Histopathological Analysis.
Kai K, Hamada T, Sato Y, Hiyoshi M, Imamura N, Yano K, Ikeda T, Ichihara A, Ogata S, Choijookhuu N, Hishikawa Y, Hosokawa A, Nanashima A. Kai K, et al. J Oncol. 2023 Feb 14;2023:1440257. doi: 10.1155/2023/1440257. eCollection 2023. J Oncol. 2023. PMID: 36824665 Free PMC article.
RESULTS: Overall, 26 specimens from the patients were graded with the SOS classification of Rubbia-Brandt et al. as follows: grade 0, n = 17 (65.4%); grade 1, n = 4 (15.4%); and grade 2, n = 5 (19.2%). ...
RESULTS: Overall, 26 specimens from the patients were graded with the SOS classification of Rubbia-Brandt et al. as follows: grade 0, …
Sinusoidal obstruction syndrome.
Rubbia-Brandt L. Rubbia-Brandt L. Clin Liver Dis. 2010 Nov;14(4):651-68. doi: 10.1016/j.cld.2010.07.009. Clin Liver Dis. 2010. PMID: 21055688 Review.
Predictive factors of histological response of colorectal liver metastases after neoadjuvant chemotherapy.
Serayssol C, Maulat C, Breibach F, Mokrane FZ, Selves J, Guimbaud R, Otal P, Suc B, Berard E, Muscari F. Serayssol C, et al. World J Gastrointest Oncol. 2019 Apr 15;11(4):295-309. doi: 10.4251/wjgo.v11.i4.295. World J Gastrointest Oncol. 2019. PMID: 31040895 Free PMC article.
The patients were separated into two groups based on their histological response, according to Rubbia-Brandt TRG. Based on their TRG, each patient was either assigned to the responder (R) group (TRG 1, 2, and 3) or to the non-responder (NR) group (TRG 4 and 5). ...
The patients were separated into two groups based on their histological response, according to Rubbia-Brandt TRG. Based on their TRG, …
[Computer-assisted 3D-navigated laparoscopic resection of a vanished colorectal liver metastasis after chemotherapy].
Huber T, Baumgart J, Peterhans M, Weber S, Heinrich S, Lang H. Huber T, et al. Z Gastroenterol. 2016 Jan;54(1):40-3. doi: 10.1055/s-0041-107542. Epub 2016 Jan 11. Z Gastroenterol. 2016. PMID: 26751115 German.
Histology of the resected specimen revealed a 0.5 cm metastasis with predominantly vital tumor cells (regression degree 4 of Rubbia-Brandt) and a sufficient resection margin of at least 7 mm. ...
Histology of the resected specimen revealed a 0.5 cm metastasis with predominantly vital tumor cells (regression degree 4 of Rubbia-B …
Pathological response of colorectal liver metastases treated after induction treatment.
Ben Slama S, Bacha D, Sassi A, Khadhar A, Bayar R, Bouraoui S, Lahmar A. Ben Slama S, et al. Tunis Med. 2017 Oct;95(10):854-858. Tunis Med. 2017. PMID: 29873054 Free article.
AIM: To evaluate tumor response by Tumor regression grade (TRG) according Rubbia-Brandt et al and correlation with survival. To establish chemotherapy-related liver injury. METHODS: Thrity-eight patients resected for colorectal cancer liver metastases after neoadjuvant che …
AIM: To evaluate tumor response by Tumor regression grade (TRG) according Rubbia-Brandt et al and correlation with survival. To estab …
Search for a New B-L Z^{'} Gauge Boson with the NA64 Experiment at CERN.
Andreev YM, Banerjee D, Banto Oberhauser B, Bernhard J, Bisio P, Burtsev VE, Celentano A, Charitonidis N, Chumakov AG, Cooke D, Crivelli P, Depero E, Dermenev AV, Donskov SV, Dusaev RR, Enik T, Frolov VN, Gardikiotis A, Gerassimov SG, Gninenko SN, Hösgen M, Jeckel M, Kachanov VA, Karneyeu AE, Kekelidze G, Ketzer B, Kirpichnikov DV, Kirsanov MM, Kolosov VN, Kovalenko SG, Kramarenko VA, Kravchuk LV, Krasnikov NV, Kuleshov SV, Lyubovitskij VE, Lysan V, Marsicano L, Matveev VA, Mikhailov YV, Molina Bueno L, Peshekhonov DV, Polyakov VA, Radics B, Rubbia A, Samalantin KM, Samoylenko VD, Sieber H, Shchukin D, Soto O, Tikhomirov VO, Tlisova IV, Toropin AN, Vasilishin BI, Volkov PV, Volkov VY, Voronchikhin I, Zamora-Saá J; NA64 Collaboration. Andreev YM, et al. Phys Rev Lett. 2022 Oct 14;129(16):161801. doi: 10.1103/PhysRevLett.129.161801. Phys Rev Lett. 2022. PMID: 36306760
79 results