154 related articles for article (PubMed ID: 38416301)
21. Tumor biology reflected by histological growth pattern is more important than surgical margin for the prognosis of patients undergoing resection of colorectal liver metastases.
Bohlok A; Inchiostro L; Lucidi V; Vankerckhove S; Hendlisz A; Van Laethem JL; Craciun L; Demetter P; Larsimont D; Dirix L; Vermeulen P; Donckier V
Eur J Surg Oncol; 2023 Jan; 49(1):217-224. PubMed ID: 36031469
[TBL] [Abstract][Full Text] [Related]
22. Prognostic Significance of the Histopathological Growth Pattern and Tumor-Infiltrating Lymphocytes in Stratifying Survival After Hepatectomy for Colorectal Liver Metastases.
Kanno H; Hisaka T; Fujiyoshi K; Akiba J; Hashimoto K; Fujita F; Akagi Y
Ann Surg Oncol; 2023 May; 30(5):3139-3147. PubMed ID: 36520232
[TBL] [Abstract][Full Text] [Related]
23. CT-based radiomics for the identification of colorectal cancer liver metastases sensitive to first-line irinotecan-based chemotherapy.
Qi W; Yang J; Zheng L; Lu Y; Liu R; Ju Y; Niu T; Wang D
Med Phys; 2023 May; 50(5):2705-2714. PubMed ID: 36841949
[TBL] [Abstract][Full Text] [Related]
24. The Effect of Histopathological Growth Patterns of Colorectal Liver Metastases on the Survival Benefit of Adjuvant Hepatic Arterial Infusion Pump Chemotherapy.
Filipe WF; Meyer YM; Buisman FE; van den Braak RRJC; Galjart B; Höppener DJ; Jarnagin WR; Kemeny NE; Kingham TP; Nierop PMH; van der Stok EP; Grünhagen DJ; Vermeulen PB; Groot Koerkamp B; Verhoef C; D'Angelica MI
Ann Surg Oncol; 2023 Dec; 30(13):7996-8005. PubMed ID: 37782413
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases.
Qu H; Zhai H; Zhang S; Chen W; Zhong H; Cui X
Front Oncol; 2023; 13():992096. PubMed ID: 36814812
[TBL] [Abstract][Full Text] [Related]
27. Histopathological growth patterns of neuroendocrine tumor liver metastases.
Meyer Y; Bohlok A; Olthof P; Donckier V; Doukas M; Lucidi V; Vermeulen P; Grünhagen D; Verhoef C
Clin Exp Metastasis; 2023 Jun; 40(3):227-234. PubMed ID: 37183203
[TBL] [Abstract][Full Text] [Related]
28. Clinical implications and mechanism of histopathological growth pattern in colorectal cancer liver metastases.
Kong BT; Fan QS; Wang XM; Zhang Q; Zhang GL
World J Gastroenterol; 2022 Jul; 28(26):3101-3115. PubMed ID: 36051338
[TBL] [Abstract][Full Text] [Related]
29. Radiomics Analysis of Multiphasic Computed Tomography Images for Distinguishing High-Risk Thymic Epithelial Tumors From Low-Risk Thymic Epithelial Tumors.
Liufu Y; Wen Y; Wu W; Su R; Liu S; Li J; Pan X; Chen K; Guan Y
J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):220-228. PubMed ID: 36877755
[TBL] [Abstract][Full Text] [Related]
30. Circulating tumour cells are associated with histopathological growth patterns of colorectal cancer liver metastases.
Meyer YM; Wilting SM; Kraan J; Olthof P; Vermeulen P; Martens J; Grünhagen DJ; Sleijfer S; Verhoef C
Clin Exp Metastasis; 2023 Feb; 40(1):69-77. PubMed ID: 36326981
[TBL] [Abstract][Full Text] [Related]
31. Salvage treatment for recurrences after first resection of colorectal liver metastases: the impact of histopathological growth patterns.
Nierop PMH; Galjart B; Höppener DJ; van der Stok EP; Coebergh van den Braak RRJ; Vermeulen PB; Grünhagen DJ; Verhoef C
Clin Exp Metastasis; 2019 Apr; 36(2):109-118. PubMed ID: 30843120
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. CT, MRI, and radiomics studies of liver metastasis histopathological growth patterns: an up-to-date review.
Li S; Li Z; Huang X; Zhang P; Deng J; Liu X; Xue C; Zhang W; Zhou J
Abdom Radiol (NY); 2022 Oct; 47(10):3494-3506. PubMed ID: 35895118
[TBL] [Abstract][Full Text] [Related]
34. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
[TBL] [Abstract][Full Text] [Related]
35. CT-based radiomics analysis to predict local progression of recurrent colorectal liver metastases after microwave ablation.
Hu H; Chi JC; Zhai B; Guo JH
Medicine (Baltimore); 2023 Dec; 102(52):e36586. PubMed ID: 38206750
[TBL] [Abstract][Full Text] [Related]
36. Local tumour control after radiofrequency or microwave ablation for colorectal liver metastases in relation to histopathological growth patterns.
Vles MD; Höppener DJ; Galjart B; Moelker A; Vermeulen PB; Grünhagen DJ; Verhoef C
HPB (Oxford); 2022 Sep; 24(9):1443-1452. PubMed ID: 35144863
[TBL] [Abstract][Full Text] [Related]
37. The relationship between primary colorectal cancer histology and the histopathological growth patterns of corresponding liver metastases.
Höppener DJ; Stook JPL; Galjart B; Nierop PMH; Nagtegaal ID; Vermeulen PB; Grünhagen DJ; Verhoef C; Doukas M;
BMC Cancer; 2022 Aug; 22(1):911. PubMed ID: 35996090
[TBL] [Abstract][Full Text] [Related]
38. Deep learning-assisted magnetic resonance imaging prediction of tumor response to chemotherapy in patients with colorectal liver metastases.
Zhu HB; Xu D; Ye M; Sun L; Zhang XY; Li XT; Nie P; Xing BC; Sun YS
Int J Cancer; 2021 Apr; 148(7):1717-1730. PubMed ID: 33284998
[TBL] [Abstract][Full Text] [Related]
39. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
40. Efficiency of CT radiomics model in assessing the microsatellite instability of colorectal cancer liver metastasis.
Wang Y; Ma L; Guo H; Wang X; Ye Z; Fan S; Gao B; Yin XP
Curr Med Imaging; 2023 Aug; ():. PubMed ID: 37622558
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]