Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation
•Percutaneous ablation methods are used to treat primary and metastatic liver tumors.•A multi-stage approach has been developed to support percutaneous tumours ablation by developed image navigation system.•The presented approach was evaluated using diagnostic abdominal computed tomography images an...
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creator | Spinczyk, Dominik Badura, Aleksandra Sperka, Piotr Stronczek, Marcin Pyciński, Bartłomiej Juszczyk, Jan Czajkowska, Joanna Biesok, Marta Rudzki, Marcin Więcławek, Wojciech Zarychta, Piotr Badura, Paweł Woloshuk, Andre Żyłkowski, Jarosław Rosiak, Grzegorz Konecki, Dariusz Milczarek, Krzysztof Rowiński, Olgierd Piętka, Ewa |
description | •Percutaneous ablation methods are used to treat primary and metastatic liver tumors.•A multi-stage approach has been developed to support percutaneous tumours ablation by developed image navigation system.•The presented approach was evaluated using diagnostic abdominal computed tomography images and calibration phantom.•The obtained results indicate the possibility of using the developed method of navigation in clinical practice.
Percutaneous ablation methods are used to treat primary and metastatic liver tumors. Image guided navigation support minimally invasive interventions of rigid anatomical structures. When working with the displacement and deformation of soft tissues during surgery, as in the abdomen, imaging navigation systems are in the preliminary implementation stage.
In this study a multi-stage approach has been developed to support percutaneous liver tumors ablation. It includes CT image acquisition protocol with the amplitude of respiratory motion that yields images subjected to a semi-automatic method able to deliver personalized abdominal model. Then, US probe and ablation needle calibration, as well as patient position adjustment method during the procedure for the preoperative anatomy model, have been combined. Finally, an advanced module for fusion of the preoperative CT with intraoperative US images was designed. These modules have been tested on a phantom and in the clinical environment.
The final average Spatial calibration error was 1,7 mm, the average error of matching the position of the markers was about 2 mm during the entire breathing cycle, and average markers fusion error 495 mm. The obtained results indicate the possibility of using the developed method of navigation in clinical practice. |
doi_str_mv | 10.1016/j.compmedimag.2019.101664 |
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Percutaneous ablation methods are used to treat primary and metastatic liver tumors. Image guided navigation support minimally invasive interventions of rigid anatomical structures. When working with the displacement and deformation of soft tissues during surgery, as in the abdomen, imaging navigation systems are in the preliminary implementation stage.
In this study a multi-stage approach has been developed to support percutaneous liver tumors ablation. It includes CT image acquisition protocol with the amplitude of respiratory motion that yields images subjected to a semi-automatic method able to deliver personalized abdominal model. Then, US probe and ablation needle calibration, as well as patient position adjustment method during the procedure for the preoperative anatomy model, have been combined. Finally, an advanced module for fusion of the preoperative CT with intraoperative US images was designed. These modules have been tested on a phantom and in the clinical environment.
The final average Spatial calibration error was 1,7 mm, the average error of matching the position of the markers was about 2 mm during the entire breathing cycle, and average markers fusion error 495 mm. The obtained results indicate the possibility of using the developed method of navigation in clinical practice.</description><identifier>ISSN: 0895-6111</identifier><identifier>EISSN: 1879-0771</identifier><identifier>DOI: 10.1016/j.compmedimag.2019.101664</identifier><identifier>PMID: 31635911</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Abdomen ; Ablation ; Calibration ; Computed tomography ; Computer aided liver ablation ; Errors ; Gastric cancer ; Image acquisition ; Image guided navigation ; Liver ; Liver cancer ; Markers ; Metastases ; Minimally invasive interventions ; Modules ; Navigation systems ; Soft tissues ; Spatial calibration ; Surgery ; Tumors</subject><ispartof>Computerized medical imaging and graphics, 2019-12, Vol.78, p.101664-101664, Article 101664</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Dec 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-ba57007f9194ed3193a05b811dffb7150f26f86c1bd9aa64279700112e5079283</citedby><cites>FETCH-LOGICAL-c405t-ba57007f9194ed3193a05b811dffb7150f26f86c1bd9aa64279700112e5079283</cites><orcidid>0000-0003-0068-2948 ; 0000-0003-1645-144X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compmedimag.2019.101664$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31635911$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Spinczyk, Dominik</creatorcontrib><creatorcontrib>Badura, Aleksandra</creatorcontrib><creatorcontrib>Sperka, Piotr</creatorcontrib><creatorcontrib>Stronczek, Marcin</creatorcontrib><creatorcontrib>Pyciński, Bartłomiej</creatorcontrib><creatorcontrib>Juszczyk, Jan</creatorcontrib><creatorcontrib>Czajkowska, Joanna</creatorcontrib><creatorcontrib>Biesok, Marta</creatorcontrib><creatorcontrib>Rudzki, Marcin</creatorcontrib><creatorcontrib>Więcławek, Wojciech</creatorcontrib><creatorcontrib>Zarychta, Piotr</creatorcontrib><creatorcontrib>Badura, Paweł</creatorcontrib><creatorcontrib>Woloshuk, Andre</creatorcontrib><creatorcontrib>Żyłkowski, Jarosław</creatorcontrib><creatorcontrib>Rosiak, Grzegorz</creatorcontrib><creatorcontrib>Konecki, Dariusz</creatorcontrib><creatorcontrib>Milczarek, Krzysztof</creatorcontrib><creatorcontrib>Rowiński, Olgierd</creatorcontrib><creatorcontrib>Piętka, Ewa</creatorcontrib><title>Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation</title><title>Computerized medical imaging and graphics</title><addtitle>Comput Med Imaging Graph</addtitle><description>•Percutaneous ablation methods are used to treat primary and metastatic liver tumors.•A multi-stage approach has been developed to support percutaneous tumours ablation by developed image navigation system.•The presented approach was evaluated using diagnostic abdominal computed tomography images and calibration phantom.•The obtained results indicate the possibility of using the developed method of navigation in clinical practice.
Percutaneous ablation methods are used to treat primary and metastatic liver tumors. Image guided navigation support minimally invasive interventions of rigid anatomical structures. When working with the displacement and deformation of soft tissues during surgery, as in the abdomen, imaging navigation systems are in the preliminary implementation stage.
In this study a multi-stage approach has been developed to support percutaneous liver tumors ablation. It includes CT image acquisition protocol with the amplitude of respiratory motion that yields images subjected to a semi-automatic method able to deliver personalized abdominal model. Then, US probe and ablation needle calibration, as well as patient position adjustment method during the procedure for the preoperative anatomy model, have been combined. Finally, an advanced module for fusion of the preoperative CT with intraoperative US images was designed. These modules have been tested on a phantom and in the clinical environment.
The final average Spatial calibration error was 1,7 mm, the average error of matching the position of the markers was about 2 mm during the entire breathing cycle, and average markers fusion error 495 mm. The obtained results indicate the possibility of using the developed method of navigation in clinical practice.</description><subject>Abdomen</subject><subject>Ablation</subject><subject>Calibration</subject><subject>Computed tomography</subject><subject>Computer aided liver ablation</subject><subject>Errors</subject><subject>Gastric cancer</subject><subject>Image acquisition</subject><subject>Image guided navigation</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Markers</subject><subject>Metastases</subject><subject>Minimally invasive interventions</subject><subject>Modules</subject><subject>Navigation systems</subject><subject>Soft tissues</subject><subject>Spatial calibration</subject><subject>Surgery</subject><subject>Tumors</subject><issn>0895-6111</issn><issn>1879-0771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkU9v1DAQxS1ERbeFr4CCuHDJ1uP8cXxEqwKVKnGgPVuOYy9eObaxnZV64qvj3RSEOHEaaeb33mjmIfQO8BYw9DeHrfRzmNVkZrHfEgzs3O_bF2gDA2U1phReog0eWFf3AHCJrlI6YIwJpvAKXTbQNx0D2KCf35YQfMzG7avJiL3zKRuZKuGmKn9XUYSnKljh3AnQPlZBRblk4ZRfCjVakY13ldeVNUcVzzoxTn42TtgqL7OPq1mIqpbWOCNLXx2FXc7K1-hCC5vUm-d6jR4_3T7svtT3Xz_f7T7e17LFXa5H0VGMqWbAWjU1wBqBu3EAmLQeKXRYk14PvYRxYkL0LaGs8ABEdZgyMjTX6MPqG6L_saiU-WySVNaul3DSlJ81tCVQ0Pf_oAe_xHLOiSKsWHe0KRRbKRl9SlFpHmKJIz5xwPyUBj_wv1Lip5T4mlLRvn3esIxl_kf5O5YC7FZAlZccjYo8SaOcLF5Rycwnb_5jzS9agKp2</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Spinczyk, Dominik</creator><creator>Badura, Aleksandra</creator><creator>Sperka, Piotr</creator><creator>Stronczek, Marcin</creator><creator>Pyciński, Bartłomiej</creator><creator>Juszczyk, Jan</creator><creator>Czajkowska, Joanna</creator><creator>Biesok, Marta</creator><creator>Rudzki, Marcin</creator><creator>Więcławek, Wojciech</creator><creator>Zarychta, Piotr</creator><creator>Badura, Paweł</creator><creator>Woloshuk, Andre</creator><creator>Żyłkowski, Jarosław</creator><creator>Rosiak, Grzegorz</creator><creator>Konecki, Dariusz</creator><creator>Milczarek, Krzysztof</creator><creator>Rowiński, Olgierd</creator><creator>Piętka, Ewa</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SC</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0068-2948</orcidid><orcidid>https://orcid.org/0000-0003-1645-144X</orcidid></search><sort><creationdate>201912</creationdate><title>Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation</title><author>Spinczyk, Dominik ; 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Percutaneous ablation methods are used to treat primary and metastatic liver tumors. Image guided navigation support minimally invasive interventions of rigid anatomical structures. When working with the displacement and deformation of soft tissues during surgery, as in the abdomen, imaging navigation systems are in the preliminary implementation stage.
In this study a multi-stage approach has been developed to support percutaneous liver tumors ablation. It includes CT image acquisition protocol with the amplitude of respiratory motion that yields images subjected to a semi-automatic method able to deliver personalized abdominal model. Then, US probe and ablation needle calibration, as well as patient position adjustment method during the procedure for the preoperative anatomy model, have been combined. Finally, an advanced module for fusion of the preoperative CT with intraoperative US images was designed. These modules have been tested on a phantom and in the clinical environment.
The final average Spatial calibration error was 1,7 mm, the average error of matching the position of the markers was about 2 mm during the entire breathing cycle, and average markers fusion error 495 mm. The obtained results indicate the possibility of using the developed method of navigation in clinical practice.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>31635911</pmid><doi>10.1016/j.compmedimag.2019.101664</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0068-2948</orcidid><orcidid>https://orcid.org/0000-0003-1645-144X</orcidid></addata></record> |
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subjects | Abdomen Ablation Calibration Computed tomography Computer aided liver ablation Errors Gastric cancer Image acquisition Image guided navigation Liver Liver cancer Markers Metastases Minimally invasive interventions Modules Navigation systems Soft tissues Spatial calibration Surgery Tumors |
title | Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation |
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