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Reliability of Residual Tumor Estimation Based on Navigation Log

The mass of residual tumors has previously been estimated using time-series records of the position of surgical instruments acquired from neurosurgical navigation systems (navigation log). This method has been shown to be useful for rapid evaluation of residual tumors during resection. However, quan...

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Autores principales: YAMADA, Hiroyuki, MARUYAMA, Takashi, KONISHI, Yoshiyuki, MASAMUNE, Ken, MURAGAKI, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japan Neurosurgical Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490597/
https://www.ncbi.nlm.nih.gov/pubmed/32801273
http://dx.doi.org/10.2176/nmc.oa.2020-0042
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author YAMADA, Hiroyuki
MARUYAMA, Takashi
KONISHI, Yoshiyuki
MASAMUNE, Ken
MURAGAKI, Yoshihiro
author_facet YAMADA, Hiroyuki
MARUYAMA, Takashi
KONISHI, Yoshiyuki
MASAMUNE, Ken
MURAGAKI, Yoshihiro
author_sort YAMADA, Hiroyuki
collection PubMed
description The mass of residual tumors has previously been estimated using time-series records of the position of surgical instruments acquired from neurosurgical navigation systems (navigation log). This method has been shown to be useful for rapid evaluation of residual tumors during resection. However, quantitative analysis of the method’s reliability has not been sufficiently reported. The effect of poor log coverage is dominant in previous studies, in that it did not highlight other disturbance factors, such as intraoperative brain shift. We analyzed 25 patients with a high log-acquisition rate that was calculated by dividing the log-available time by the instrument-use time. We estimated the region of resection using the trajectory of surgical instrument that was extracted from the navigation log. We then calculated the residual tumor region and measured its volume as log-estimation residual tumor volume (RTV). We evaluated the correlation between the log-estimation RTV and the RTV in the post-resection magnetic resonance (MR) image. We also evaluated the accuracy of detecting the residual tumor mass using the estimated residual tumor region. The log-estimation RTV and the RTV in the post-resection MR image were significantly correlated (correlation coefficient = 0.960; P <0.001). The presence of patient-wise residual tumor mass was detected with a sensitivity of 81.8% and a specificity of 92.9%. The individual residual tumor mass was detected with a positive predictive value of 72%. Estimation of residual tumor with adequate log coverage appears to be a suitable method with a high reliability. This method can support rapid decision-making during resection.
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spelling pubmed-74905972020-09-21 Reliability of Residual Tumor Estimation Based on Navigation Log YAMADA, Hiroyuki MARUYAMA, Takashi KONISHI, Yoshiyuki MASAMUNE, Ken MURAGAKI, Yoshihiro Neurol Med Chir (Tokyo) Original Article The mass of residual tumors has previously been estimated using time-series records of the position of surgical instruments acquired from neurosurgical navigation systems (navigation log). This method has been shown to be useful for rapid evaluation of residual tumors during resection. However, quantitative analysis of the method’s reliability has not been sufficiently reported. The effect of poor log coverage is dominant in previous studies, in that it did not highlight other disturbance factors, such as intraoperative brain shift. We analyzed 25 patients with a high log-acquisition rate that was calculated by dividing the log-available time by the instrument-use time. We estimated the region of resection using the trajectory of surgical instrument that was extracted from the navigation log. We then calculated the residual tumor region and measured its volume as log-estimation residual tumor volume (RTV). We evaluated the correlation between the log-estimation RTV and the RTV in the post-resection magnetic resonance (MR) image. We also evaluated the accuracy of detecting the residual tumor mass using the estimated residual tumor region. The log-estimation RTV and the RTV in the post-resection MR image were significantly correlated (correlation coefficient = 0.960; P <0.001). The presence of patient-wise residual tumor mass was detected with a sensitivity of 81.8% and a specificity of 92.9%. The individual residual tumor mass was detected with a positive predictive value of 72%. Estimation of residual tumor with adequate log coverage appears to be a suitable method with a high reliability. This method can support rapid decision-making during resection. The Japan Neurosurgical Society 2020-09 2020-08-15 /pmc/articles/PMC7490597/ /pubmed/32801273 http://dx.doi.org/10.2176/nmc.oa.2020-0042 Text en © 2020 The Japan Neurosurgical Society This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Original Article
YAMADA, Hiroyuki
MARUYAMA, Takashi
KONISHI, Yoshiyuki
MASAMUNE, Ken
MURAGAKI, Yoshihiro
Reliability of Residual Tumor Estimation Based on Navigation Log
title Reliability of Residual Tumor Estimation Based on Navigation Log
title_full Reliability of Residual Tumor Estimation Based on Navigation Log
title_fullStr Reliability of Residual Tumor Estimation Based on Navigation Log
title_full_unstemmed Reliability of Residual Tumor Estimation Based on Navigation Log
title_short Reliability of Residual Tumor Estimation Based on Navigation Log
title_sort reliability of residual tumor estimation based on navigation log
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490597/
https://www.ncbi.nlm.nih.gov/pubmed/32801273
http://dx.doi.org/10.2176/nmc.oa.2020-0042
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