A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance

In thyroid cancer patients with renal impairment or other complicating factors, it is important to maximize I-131 therapy efficacy while minimizing bone marrow and lung damage. We developed a web-based calculator based on a modified Benua and Leeper method to calculate the maximum I-131 dose to redu...

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Main Authors: Brandon A Howard, Olga G James, Jennifer M Perkins, Robert A Pagnanelli, Salvador Borges-Neto, Robert E Reiman
Format: Article
Language:English
Published: SAGE Publishing 2017-12-01
Series:SAGE Open Medical Case Reports
Online Access:https://doi.org/10.1177/2050313X17745203
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spelling doaj-000205d7943c4d4db1bfaf1b6aff31282020-11-25T02:34:09ZengSAGE PublishingSAGE Open Medical Case Reports2050-313X2017-12-01510.1177/2050313X17745203A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearanceBrandon A Howard0Olga G James1Jennifer M Perkins2Robert A Pagnanelli3Salvador Borges-Neto4Robert E Reiman5Division of Nuclear Medicine, Department of Radiology, Duke University Medical Center, Durham, NC, USADivision of Nuclear Medicine, Department of Radiology, Duke University Medical Center, Durham, NC, USADivision of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USADivision of Nuclear Medicine, Department of Radiology, Duke University Medical Center, Durham, NC, USADivision of Nuclear Medicine, Department of Radiology, Duke University Medical Center, Durham, NC, USADivision of Radiation Safety, Occupational and Environmental Safety Office, Duke University, Durham, NC, USAIn thyroid cancer patients with renal impairment or other complicating factors, it is important to maximize I-131 therapy efficacy while minimizing bone marrow and lung damage. We developed a web-based calculator based on a modified Benua and Leeper method to calculate the maximum I-131 dose to reduce the risk of these toxicities, based on the effective renal clearance of I-123 as measured from two whole-body I-123 scans, performed at 0 and 24 h post-administration.https://doi.org/10.1177/2050313X17745203
collection DOAJ
language English
format Article
sources DOAJ
author Brandon A Howard
Olga G James
Jennifer M Perkins
Robert A Pagnanelli
Salvador Borges-Neto
Robert E Reiman
spellingShingle Brandon A Howard
Olga G James
Jennifer M Perkins
Robert A Pagnanelli
Salvador Borges-Neto
Robert E Reiman
A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
SAGE Open Medical Case Reports
author_facet Brandon A Howard
Olga G James
Jennifer M Perkins
Robert A Pagnanelli
Salvador Borges-Neto
Robert E Reiman
author_sort Brandon A Howard
title A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
title_short A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
title_full A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
title_fullStr A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
title_full_unstemmed A practical method of I-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
title_sort practical method of i-131 thyroid cancer therapy dose optimization using estimated effective renal clearance
publisher SAGE Publishing
series SAGE Open Medical Case Reports
issn 2050-313X
publishDate 2017-12-01
description In thyroid cancer patients with renal impairment or other complicating factors, it is important to maximize I-131 therapy efficacy while minimizing bone marrow and lung damage. We developed a web-based calculator based on a modified Benua and Leeper method to calculate the maximum I-131 dose to reduce the risk of these toxicities, based on the effective renal clearance of I-123 as measured from two whole-body I-123 scans, performed at 0 and 24 h post-administration.
url https://doi.org/10.1177/2050313X17745203
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