Dalton LW - Search Results

1

Impact of breast cancer grade discordance on prediction of outcome.

Rakha EA, Aleskandarany MA, Toss MS, Mongan NP, ElSayed ME, Green AR, Ellis IO, Dalton LW. Rakha EA, et al. Among authors: dalton lw. Histopathology. 2018 Dec;73(6):904-915. doi: 10.1111/his.13709. Epub 2018 Sep 19. Histopathology. 2018. PMID: 29999192

2

A key genomic subtype associated with lymphovascular invasion in invasive breast cancer.

Kurozumi S, Joseph C, Sonbul S, Alsaeed S, Kariri Y, Aljohani A, Raafat S, Alsaleem M, Ogden A, Johnston SJ, Aleskandarany MA, Fujii T, Shirabe K, Caldas C, Ashankyty I, Dalton L, Ellis IO, Desmedt C, Green AR, Mongan NP, Rakha EA. Kurozumi S, et al. Br J Cancer. 2019 Jun;120(12):1129-1136. doi: 10.1038/s41416-019-0486-6. Epub 2019 May 22. Br J Cancer. 2019. PMID: 31114020 Free PMC article.

3

Breast cancer histologic grading using digital microscopy: concordance and outcome association.

Rakha EA, Aleskandarani M, Toss MS, Green AR, Ball G, Ellis IO, Dalton LW. Rakha EA, et al. Among authors: dalton lw. J Clin Pathol. 2018 Aug;71(8):680-686. doi: 10.1136/jclinpath-2017-204979. Epub 2018 Mar 13. J Clin Pathol. 2018. PMID: 29535212 Free article.

4

Prognostic significance of nucleolar assessment in invasive breast cancer.

Elsharawy KA, Toss MS, Raafat S, Ball G, Green AR, Aleskandarany MA, Dalton LW, Rakha EA. Elsharawy KA, et al. Among authors: dalton lw. Histopathology. 2020 Apr;76(5):671-684. doi: 10.1111/his.14036. Epub 2020 Mar 26. Histopathology. 2020. PMID: 31736094

5

Visual histological assessment of morphological features reflects the underlying molecular profile in invasive breast cancer: a morphomolecular study.

Rakha EA, Alsaleem M, ElSharawy KA, Toss MS, Raafat S, Mihai R, Minhas FA, Green AR, Rajpoot NM, Dalton LW, Mongan NP. Rakha EA, et al. Among authors: dalton lw. Histopathology. 2020 Oct;77(4):631-645. doi: 10.1111/his.14199. Epub 2020 Sep 1. Histopathology. 2020. PMID: 32618014

6

The nucleolar-related protein Dyskerin pseudouridine synthase 1 (DKC1) predicts poor prognosis in breast cancer.

Elsharawy KA, Mohammed OJ, Aleskandarany MA, Hyder A, El-Gammal HL, Abou-Dobara MI, Green AR, Dalton LW, Rakha EA. Elsharawy KA, et al. Among authors: dalton lw. Br J Cancer. 2020 Nov;123(10):1543-1552. doi: 10.1038/s41416-020-01045-7. Epub 2020 Sep 1. Br J Cancer. 2020. PMID: 32868896 Free PMC article.

7

Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.

Elsharawy KA, Gerds TA, Rakha EA, Dalton LW. Elsharawy KA, et al. Among authors: dalton lw. Histopathology. 2021 Aug;79(2):187-199. doi: 10.1111/his.14354. Epub 2021 May 6. Histopathology. 2021. PMID: 33590486

8

Histologic grading of breast cancer: linkage of patient outcome with level of pathologist agreement.

Dalton LW, Pinder SE, Elston CE, Ellis IO, Page DL, Dupont WD, Blamey RW. Dalton LW, et al. Mod Pathol. 2000 Jul;13(7):730-5. doi: 10.1038/modpathol.3880126. Mod Pathol. 2000. PMID: 10912931

9

Grading breast cancer on microarray samples: comparison with Nottingham grade, and use of boosting classification.

Dalton L, Page DL. Dalton L, et al. Histopathology. 2012 Sep;61(3):497-508. doi: 10.1111/j.1365-2559.2012.04254.x. Epub 2012 May 31. Histopathology. 2012. PMID: 22651792

10

Invasive breast cancer: stratification of histological grade by gene-based assays: a still relevant example from an older data set.

Dalton L. Dalton L. Histopathology. 2014 Sep;65(3):429-33. doi: 10.1111/his.12423. Epub 2014 Aug 6. Histopathology. 2014. PMID: 24673556 Free PMC article.

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