A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections

Purpose The purpose of this study was to validate the use of a semiautomated software for liver volumetry preoperatively by comparing it with the volume of resected specimen in patients undergoing hepatic resections. Materials and Methods This is a single-center retrospective study of patients who...

Full description

Bibliographic Details
Main Authors: Suyash S. Kulkarni, Nitin Sudhakar Shetty, Kunal B. Gala, Shraddha Patkar, Amrita Narang, Ashwin M. Polnaya, Sushil Patil, Neeraj G. Shetty, Falguni Hota, Mahesh Goel
Format: Article
Language:English
Published: Thieme Medical Publishers, Inc. 2020-12-01
Series:Journal of Clinical Interventional Radiology ISVIR
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0040-1721534
_version_ 1818408397088751616
author Suyash S. Kulkarni
Nitin Sudhakar Shetty
Kunal B. Gala
Shraddha Patkar
Amrita Narang
Ashwin M. Polnaya
Sushil Patil
Neeraj G. Shetty
Falguni Hota
Mahesh Goel
author_facet Suyash S. Kulkarni
Nitin Sudhakar Shetty
Kunal B. Gala
Shraddha Patkar
Amrita Narang
Ashwin M. Polnaya
Sushil Patil
Neeraj G. Shetty
Falguni Hota
Mahesh Goel
author_sort Suyash S. Kulkarni
collection DOAJ
description Purpose The purpose of this study was to validate the use of a semiautomated software for liver volumetry preoperatively by comparing it with the volume of resected specimen in patients undergoing hepatic resections. Materials and Methods This is a single-center retrospective study of patients who underwent estimation of future liver remnant (FLR) using Myrian XP-Liver which is a semiautomated software for hepatectomy. The estimated resection volume, which is the sum of volume of normal liver to be resected and tumor volume, was compared with actual specimen weight to calculate the accuracy of the software. The statistical analysis was performed with SPSS software version 24. Results Data on FLR estimation using the semiautomated software was available for 200 out of 388 patients who underwent formal hepatic resections. The median resected volume of surgical specimen was 650 mL (interquartile range [IQR] 364–950), while the median estimated volume using the Myrian software was 617 mL (IQR 362–979). There was significant correlation between estimated resection volume calculated using the semiautomated method and actual specimen weight (p-value < 0.0001) with the Spearman’s correlation value of 0.956. Conclusion The estimated volume of liver to be resected as calculated by the semiautomated software was accurate and correlated significantly with the volume of resected specimen, and hence, the estimation of FLR volume may likely correlate with the true postoperative residual liver volume. In addition, the software-based liver segmentation, FLR estimation, and color-coded three-dimensional images provide a clear road map to the surgeon to facilitate safe resection.
first_indexed 2024-12-14T09:43:05Z
format Article
id doaj.art-88630e29e18c42a98500e712a519280d
institution Directory Open Access Journal
issn 2456-4869
language English
last_indexed 2024-12-14T09:43:05Z
publishDate 2020-12-01
publisher Thieme Medical Publishers, Inc.
record_format Article
series Journal of Clinical Interventional Radiology ISVIR
spelling doaj.art-88630e29e18c42a98500e712a519280d2022-12-21T23:07:45ZengThieme Medical Publishers, Inc.Journal of Clinical Interventional Radiology ISVIR2456-48692020-12-0140315415810.1055/s-0040-1721534A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic ResectionsSuyash S. Kulkarni0Nitin Sudhakar Shetty1Kunal B. Gala2Shraddha Patkar3Amrita Narang4Ashwin M. Polnaya5Sushil Patil6Neeraj G. Shetty7Falguni Hota8Mahesh Goel9Interventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaInterventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaInterventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaHomi Bhabha National Institute, Mumbai, IndiaInterventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaDepartment of Radio-Diagnosis and Imaging, A. J. Institute of Medical Science and Research Centre, Mangalore, Karnataka, IndiaInterventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaInterventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaInterventional Radiology, Department of Radio-Diagnosis, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, Maharashtra, IndiaHomi Bhabha National Institute, Mumbai, IndiaPurpose The purpose of this study was to validate the use of a semiautomated software for liver volumetry preoperatively by comparing it with the volume of resected specimen in patients undergoing hepatic resections. Materials and Methods This is a single-center retrospective study of patients who underwent estimation of future liver remnant (FLR) using Myrian XP-Liver which is a semiautomated software for hepatectomy. The estimated resection volume, which is the sum of volume of normal liver to be resected and tumor volume, was compared with actual specimen weight to calculate the accuracy of the software. The statistical analysis was performed with SPSS software version 24. Results Data on FLR estimation using the semiautomated software was available for 200 out of 388 patients who underwent formal hepatic resections. The median resected volume of surgical specimen was 650 mL (interquartile range [IQR] 364–950), while the median estimated volume using the Myrian software was 617 mL (IQR 362–979). There was significant correlation between estimated resection volume calculated using the semiautomated method and actual specimen weight (p-value < 0.0001) with the Spearman’s correlation value of 0.956. Conclusion The estimated volume of liver to be resected as calculated by the semiautomated software was accurate and correlated significantly with the volume of resected specimen, and hence, the estimation of FLR volume may likely correlate with the true postoperative residual liver volume. In addition, the software-based liver segmentation, FLR estimation, and color-coded three-dimensional images provide a clear road map to the surgeon to facilitate safe resection.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0040-1721534liver volumetryflr (future liver remnant)myrian
spellingShingle Suyash S. Kulkarni
Nitin Sudhakar Shetty
Kunal B. Gala
Shraddha Patkar
Amrita Narang
Ashwin M. Polnaya
Sushil Patil
Neeraj G. Shetty
Falguni Hota
Mahesh Goel
A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections
Journal of Clinical Interventional Radiology ISVIR
liver volumetry
flr (future liver remnant)
myrian
title A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections
title_full A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections
title_fullStr A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections
title_full_unstemmed A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections
title_short A Validation Study of Liver Volumetry Estimation by a Semiautomated Software in Patients Undergoing Hepatic Resections
title_sort validation study of liver volumetry estimation by a semiautomated software in patients undergoing hepatic resections
topic liver volumetry
flr (future liver remnant)
myrian
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0040-1721534
work_keys_str_mv AT suyashskulkarni avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT nitinsudhakarshetty avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT kunalbgala avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT shraddhapatkar avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT amritanarang avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT ashwinmpolnaya avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT sushilpatil avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT neerajgshetty avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT falgunihota avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT maheshgoel avalidationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT suyashskulkarni validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT nitinsudhakarshetty validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT kunalbgala validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT shraddhapatkar validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT amritanarang validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT ashwinmpolnaya validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT sushilpatil validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT neerajgshetty validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT falgunihota validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections
AT maheshgoel validationstudyoflivervolumetryestimationbyasemiautomatedsoftwareinpatientsundergoinghepaticresections