Literature DB >> 30675475

The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease.

Bertil Damato1, Armin R Afshar1, Lesley Everett1, Anuradha Banerjee2, Steven W Hetts3.   

Abstract

BACKGROUND/AIMS: Current retinoblastoma staging systems do not adequately describe the disease, especially in eyes with multiple tumors. The aims of this study were to develop methods for documenting individual tumors and to score disease burden over time.
METHODS: A coding system was devised to describe each tumor according to affected eye, meridian, anteroposterior location, activity, growth pattern, type of seed, and treatment. A scoring system for quantifying disease burden was developed, taking account of tumor number, size, spread, and secondary effects on the eye.
RESULTS: Our coding system allowed contemporaneous tumor documentation, producing datasets that enabled generation of fundus diagrams, Kaplan-Meier curves, and tables summarizing disease progression in individual tumors and eyes. Our data showed disparities between ocular and tumor documentation, e.g., indicating earlier tumor development in the left eye but younger age at presentation if disease was worse in the right eye. Actuarial rates of local treatment failure were lower when individual tumors were analyzed than when data were reported in terms of whole eyes.
CONCLUSION: Our methods for documenting individual retinoblastomas have facilitated the review of patients' progress in our routine practice and may provide data that could be used to refine retinoblastoma classifications in the future.

Entities:  

Keywords:  Prognosis; Retinoblastoma; Treatment

Year:  2018        PMID: 30675475      PMCID: PMC6341334          DOI: 10.1159/000488147

Source DB:  PubMed          Journal:  Ocul Oncol Pathol        ISSN: 2296-4657


  6 in total

Review 1.  Basic understanding of current classification and management of retinoblastoma.

Authors:  Carol L Shields; Jerry A Shields
Journal:  Curr Opin Ophthalmol       Date:  2006-06       Impact factor: 3.761

2.  Radial asymmetry in the topography of retinoblastoma. Clues to the cell of origin.

Authors:  F L Munier; A Balmer; G van Melle; C Gailloud
Journal:  Ophthalmic Genet       Date:  1994 Sep-Dec       Impact factor: 1.803

3.  American Joint Committee on Cancer acceptance criteria for inclusion of risk models for individualized prognosis in the practice of precision medicine.

Authors:  Michael W Kattan; Kenneth R Hess; Mahul B Amin; Ying Lu; Karl G M Moons; Jeffrey E Gershenwald; Phyllis A Gimotty; Justin H Guinney; Susan Halabi; Alexander J Lazar; Alyson L Mahar; Tushar Patel; Daniel J Sargent; Martin R Weiser; Carolyn Compton
Journal:  CA Cancer J Clin       Date:  2016-01-19       Impact factor: 508.702

4.  The classification of vitreous seeds in retinoblastoma and response to intravitreal melphalan.

Authors:  Jasmine H Francis; David H Abramson; Marie-Claire Gaillard; Brian P Marr; Maja Beck-Popovic; Francis L Munier
Journal:  Ophthalmology       Date:  2015-03-18       Impact factor: 12.079

5.  Human photoreceptor topography.

Authors:  C A Curcio; K R Sloan; R E Kalina; A E Hendrickson
Journal:  J Comp Neurol       Date:  1990-02-22       Impact factor: 3.215

6.  Rb suppresses human cone-precursor-derived retinoblastoma tumours.

Authors:  Xiaoliang L Xu; Hardeep P Singh; Lu Wang; Dong-Lai Qi; Bradford K Poulos; David H Abramson; Suresh C Jhanwar; David Cobrinik
Journal:  Nature       Date:  2014-09-24       Impact factor: 49.962

  6 in total
  1 in total

1.  Carboplatin Inhibits the Progression of Retinoblastoma Through IncRNA XIST/miR-200a-3p/NRP1 Axis.

Authors:  Hong Zhao; Jingjing Wan; Yu Zhu
Journal:  Drug Des Devel Ther       Date:  2020-08-21       Impact factor: 4.162

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.