Flogging a Dead Salmon? Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 TrialsCitation formats

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Flogging a Dead Salmon? Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 Trials. / Shortall, Jane; Palma, Giuseppe; Mistry, Hitesh; Vasquez Osorio, Eliana; Mcwilliam, Alan; Choudhury, Ananya; Aznar, Marianne; Van Herk, Marcel; Green, Andrew.

In: International Journal of Radiation: Oncology - Biology - Physics, Vol. 110, No. 3, 01.07.2021, p. 696-699.

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@article{2c0ae2de184d4f1191399686330dcefd,
title = "Flogging a Dead Salmon? Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 Trials",
abstract = "Image-based data mining (IBDM) and voxel-based analysis (VBA) have shown great promise in the retrospective analysis of routine clinical data, offering a way to analyze a patient population without selection. In radiation therapy, IBDM analyzes whole dose distributions for their effect on a given outcome with no prior assumptions. Recent extensions in IBDM methodologies include per voxel survival analyses, allowing the generation of more robust and testable hypotheses. An essential aspect to produce solid conclusions includes applying the correct statistical techniques to account for multiple testing. There is a growing interest in applying IBDM/VBA techniques in radiation therapy, which is a relatively new area with limited examples in the literature. We present this editorial to discuss guidelines for best practice. In doing so, we highlight 3 recently published papers applying IBDM techniques to radiation therapy data 1 , 2 , 3 and suggest alternative, more robust analysis methods.",
keywords = "cancer, radiotherapy, image analysis",
author = "Jane Shortall and Giuseppe Palma and Hitesh Mistry and {Vasquez Osorio}, Eliana and Alan Mcwilliam and Ananya Choudhury and Marianne Aznar and {Van Herk}, Marcel and Andrew Green",
year = "2021",
month = jul,
day = "1",
doi = "10.1016/j.ijrobp.2021.01.017",
language = "English",
volume = "110",
pages = "696--699",
journal = "International Journal of Radiation: Oncology - Biology - Physics",
issn = "0360-3016",
publisher = "Elsevier BV",
number = "3",

}

RIS

TY - JOUR

T1 - Flogging a Dead Salmon? Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 Trials

AU - Shortall, Jane

AU - Palma, Giuseppe

AU - Mistry, Hitesh

AU - Vasquez Osorio, Eliana

AU - Mcwilliam, Alan

AU - Choudhury, Ananya

AU - Aznar, Marianne

AU - Van Herk, Marcel

AU - Green, Andrew

PY - 2021/7/1

Y1 - 2021/7/1

N2 - Image-based data mining (IBDM) and voxel-based analysis (VBA) have shown great promise in the retrospective analysis of routine clinical data, offering a way to analyze a patient population without selection. In radiation therapy, IBDM analyzes whole dose distributions for their effect on a given outcome with no prior assumptions. Recent extensions in IBDM methodologies include per voxel survival analyses, allowing the generation of more robust and testable hypotheses. An essential aspect to produce solid conclusions includes applying the correct statistical techniques to account for multiple testing. There is a growing interest in applying IBDM/VBA techniques in radiation therapy, which is a relatively new area with limited examples in the literature. We present this editorial to discuss guidelines for best practice. In doing so, we highlight 3 recently published papers applying IBDM techniques to radiation therapy data 1 , 2 , 3 and suggest alternative, more robust analysis methods.

AB - Image-based data mining (IBDM) and voxel-based analysis (VBA) have shown great promise in the retrospective analysis of routine clinical data, offering a way to analyze a patient population without selection. In radiation therapy, IBDM analyzes whole dose distributions for their effect on a given outcome with no prior assumptions. Recent extensions in IBDM methodologies include per voxel survival analyses, allowing the generation of more robust and testable hypotheses. An essential aspect to produce solid conclusions includes applying the correct statistical techniques to account for multiple testing. There is a growing interest in applying IBDM/VBA techniques in radiation therapy, which is a relatively new area with limited examples in the literature. We present this editorial to discuss guidelines for best practice. In doing so, we highlight 3 recently published papers applying IBDM techniques to radiation therapy data 1 , 2 , 3 and suggest alternative, more robust analysis methods.

KW - cancer

KW - radiotherapy

KW - image analysis

U2 - 10.1016/j.ijrobp.2021.01.017

DO - 10.1016/j.ijrobp.2021.01.017

M3 - Editorial

VL - 110

SP - 696

EP - 699

JO - International Journal of Radiation: Oncology - Biology - Physics

JF - International Journal of Radiation: Oncology - Biology - Physics

SN - 0360-3016

IS - 3

ER -