Development and validation of a Python 3 based software to calculate mean platelet survival time by multiple-hit method

Author:

Miñana Olmo Elena1,Chivato Martín-Falquina Tomás1

Affiliation:

1. Unidad de Radiofarmacia, Hospital General Universitario Santa Lucía, Cartagena, Spain

Abstract

Platelet kinetic parameters predict the efficiency of splenectomy in patients with immune thrombocytopenia. The multiple hit model is recommended to calculate the mean platelet survival time. This method involves complex formulae and iterative calculations that need specialized software, but currently available programs present some drawbacks. A new optimized solution is proposed. A Python 3 based computer program was developed in order to perform the multiple-hit model calculations. Validation was done by comparing its results to two additional programs, one using the Microsoft Excel solver add-in and the other fitting the curve by brute force. There was no difference in the results obtained by the three programs. The brute force program however took much longer times to achieve the results. The new program proved to be a fast, robust solution to determine the multiple-hit parameters needed to assess platelet kinetics.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference4 articles.

1. The scintigraphic index spleen/liver at 30 minutes predicts the success of splenectomy in persistent and chronic primary immune thrombocytopenia.;Roca;Am J Hematol,2011

2. Panel on diagnostic applications of radionuclides. Recommended method for indium-111 platelet survival studies.;J Nucl Med,1988

3. The estimation of blood platelet survival. II. The multiple hit model.;Murphy;Thromb Diath Haemorrh,1971

4. A computer program in compiled BASIC for the IBM personal computer to calculate the mean platelet survival time with the multiple-hit and weighted mean methods.;Lötter;Comput Biol Med,1988

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3