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Three-dimensional computed tomographic volumetry precisely predicts the postoperative pulmonary function
Purpose It is important to accurately predict the patient’s postoperative pulmonary function. The aim of this study was to compare the accuracy of predictions of the postoperative residual pulmonary function obtained with three-dimensional computed tomographic (3D-CT) volumetry with that of predicti...
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Published in: | Surgery today (Tokyo, Japan) Japan), 2017-11, Vol.47 (11), p.1303-1311 |
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container_title | Surgery today (Tokyo, Japan) |
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creator | Kobayashi, Keisuke Saeki, Yusuke Kitazawa, Shinsuke Kobayashi, Naohiro Kikuchi, Shinji Goto, Yukinobu Sakai, Mitsuaki Sato, Yukio |
description | Purpose
It is important to accurately predict the patient’s postoperative pulmonary function. The aim of this study was to compare the accuracy of predictions of the postoperative residual pulmonary function obtained with three-dimensional computed tomographic (3D-CT) volumetry with that of predictions obtained with the conventional segment-counting method.
Methods
Fifty-three patients scheduled to undergo lung cancer resection, pulmonary function tests, and computed tomography were enrolled in this study. The postoperative residual pulmonary function was predicted based on the segment-counting and 3D-CT volumetry methods. The predicted postoperative values were compared with the results of postoperative pulmonary function tests.
Results
Regarding the linear correlation coefficients between the predicted postoperative values and the measured values, those obtained using the 3D-CT volumetry method tended to be higher than those acquired using the segment-counting method. In addition, the variations between the predicted and measured values were smaller with the 3D-CT volumetry method than with the segment-counting method. These results were more obvious in COPD patients than in non-COPD patients.
Conclusions
Our findings suggested that the 3D-CT volumetry was able to predict the residual pulmonary function more accurately than the segment-counting method, especially in patients with COPD. This method might lead to the selection of appropriate candidates for surgery among patients with a marginal pulmonary function. |
doi_str_mv | 10.1007/s00595-017-1505-y |
format | article |
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It is important to accurately predict the patient’s postoperative pulmonary function. The aim of this study was to compare the accuracy of predictions of the postoperative residual pulmonary function obtained with three-dimensional computed tomographic (3D-CT) volumetry with that of predictions obtained with the conventional segment-counting method.
Methods
Fifty-three patients scheduled to undergo lung cancer resection, pulmonary function tests, and computed tomography were enrolled in this study. The postoperative residual pulmonary function was predicted based on the segment-counting and 3D-CT volumetry methods. The predicted postoperative values were compared with the results of postoperative pulmonary function tests.
Results
Regarding the linear correlation coefficients between the predicted postoperative values and the measured values, those obtained using the 3D-CT volumetry method tended to be higher than those acquired using the segment-counting method. In addition, the variations between the predicted and measured values were smaller with the 3D-CT volumetry method than with the segment-counting method. These results were more obvious in COPD patients than in non-COPD patients.
Conclusions
Our findings suggested that the 3D-CT volumetry was able to predict the residual pulmonary function more accurately than the segment-counting method, especially in patients with COPD. This method might lead to the selection of appropriate candidates for surgery among patients with a marginal pulmonary function.</description><identifier>ISSN: 0941-1291</identifier><identifier>EISSN: 1436-2813</identifier><identifier>DOI: 10.1007/s00595-017-1505-y</identifier><identifier>PMID: 28378062</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Imaging, Three-Dimensional - methods ; Lung - diagnostic imaging ; Lung - pathology ; Lung - physiopathology ; Lung Neoplasms - complications ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - pathology ; Lung Neoplasms - physiopathology ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Organ Size ; Original Article ; Postoperative Period ; Predictive Value of Tests ; Pulmonary Disease, Chronic Obstructive - complications ; Pulmonary Disease, Chronic Obstructive - diagnostic imaging ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Respiratory Function Tests - methods ; Surgery ; Surgical Oncology ; Tomography, X-Ray Computed - methods</subject><ispartof>Surgery today (Tokyo, Japan), 2017-11, Vol.47 (11), p.1303-1311</ispartof><rights>Springer Japan 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-4b23a3d6894639ba7acc9d25fe81a1a22ca28054c48c2acf0d52f2ba64a85bca3</citedby><cites>FETCH-LOGICAL-c434t-4b23a3d6894639ba7acc9d25fe81a1a22ca28054c48c2acf0d52f2ba64a85bca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28378062$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kobayashi, Keisuke</creatorcontrib><creatorcontrib>Saeki, Yusuke</creatorcontrib><creatorcontrib>Kitazawa, Shinsuke</creatorcontrib><creatorcontrib>Kobayashi, Naohiro</creatorcontrib><creatorcontrib>Kikuchi, Shinji</creatorcontrib><creatorcontrib>Goto, Yukinobu</creatorcontrib><creatorcontrib>Sakai, Mitsuaki</creatorcontrib><creatorcontrib>Sato, Yukio</creatorcontrib><title>Three-dimensional computed tomographic volumetry precisely predicts the postoperative pulmonary function</title><title>Surgery today (Tokyo, Japan)</title><addtitle>Surg Today</addtitle><addtitle>Surg Today</addtitle><description>Purpose
It is important to accurately predict the patient’s postoperative pulmonary function. The aim of this study was to compare the accuracy of predictions of the postoperative residual pulmonary function obtained with three-dimensional computed tomographic (3D-CT) volumetry with that of predictions obtained with the conventional segment-counting method.
Methods
Fifty-three patients scheduled to undergo lung cancer resection, pulmonary function tests, and computed tomography were enrolled in this study. The postoperative residual pulmonary function was predicted based on the segment-counting and 3D-CT volumetry methods. The predicted postoperative values were compared with the results of postoperative pulmonary function tests.
Results
Regarding the linear correlation coefficients between the predicted postoperative values and the measured values, those obtained using the 3D-CT volumetry method tended to be higher than those acquired using the segment-counting method. In addition, the variations between the predicted and measured values were smaller with the 3D-CT volumetry method than with the segment-counting method. These results were more obvious in COPD patients than in non-COPD patients.
Conclusions
Our findings suggested that the 3D-CT volumetry was able to predict the residual pulmonary function more accurately than the segment-counting method, especially in patients with COPD. This method might lead to the selection of appropriate candidates for surgery among patients with a marginal pulmonary function.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - pathology</subject><subject>Lung - physiopathology</subject><subject>Lung Neoplasms - complications</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - pathology</subject><subject>Lung Neoplasms - physiopathology</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Organ Size</subject><subject>Original Article</subject><subject>Postoperative Period</subject><subject>Predictive Value of Tests</subject><subject>Pulmonary Disease, Chronic Obstructive - complications</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Respiratory Function Tests - methods</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>0941-1291</issn><issn>1436-2813</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQQC0EoqXwA1hQRhbD2XFSZ0QVX1IlljJbjnNpUyVxsJ1K_fe4tDAy2ZbfPZ0eIbcMHhjA_NEDZEVGgc0pyyCj-zMyZSLNKZcsPSdTKASjjBdsQq683wJwIQEuyYTLdC4h51OyWW0cIq2aDnvf2F63ibHdMAaskmA7u3Z62DQm2dl27DC4fTI4NI3H9udWNSb4JGwwGawPdkCnQ7OLr7Htoizi9dibEMXX5KLWrceb0zkjny_Pq8UbXX68vi-eltSIVAQqSp7qtMplIfK0KPVcG1NUPKtRMs0050ZzCZkwQhquTQ1Vxmte6lxomZVGpzNyf_QOzn6N6IPqGm-wbXWPdvSKSSmiGiCPKDuixlnvHdZqcE0Xl1YM1CGwOgZWMbA6BFb7OHN30o9lh9XfxG_RCPAj4ONXv0antnZ0sav_x_oNKzOKfw</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Kobayashi, Keisuke</creator><creator>Saeki, Yusuke</creator><creator>Kitazawa, Shinsuke</creator><creator>Kobayashi, Naohiro</creator><creator>Kikuchi, Shinji</creator><creator>Goto, Yukinobu</creator><creator>Sakai, Mitsuaki</creator><creator>Sato, Yukio</creator><general>Springer Japan</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20171101</creationdate><title>Three-dimensional computed tomographic volumetry precisely predicts the postoperative pulmonary function</title><author>Kobayashi, Keisuke ; Saeki, Yusuke ; Kitazawa, Shinsuke ; Kobayashi, Naohiro ; Kikuchi, Shinji ; Goto, Yukinobu ; Sakai, Mitsuaki ; Sato, Yukio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-4b23a3d6894639ba7acc9d25fe81a1a22ca28054c48c2acf0d52f2ba64a85bca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - pathology</topic><topic>Lung - physiopathology</topic><topic>Lung Neoplasms - complications</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - pathology</topic><topic>Lung Neoplasms - physiopathology</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Organ Size</topic><topic>Original Article</topic><topic>Postoperative Period</topic><topic>Predictive Value of Tests</topic><topic>Pulmonary Disease, Chronic Obstructive - complications</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</topic><topic>Pulmonary Disease, Chronic Obstructive - physiopathology</topic><topic>Respiratory Function Tests - methods</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kobayashi, Keisuke</creatorcontrib><creatorcontrib>Saeki, Yusuke</creatorcontrib><creatorcontrib>Kitazawa, Shinsuke</creatorcontrib><creatorcontrib>Kobayashi, Naohiro</creatorcontrib><creatorcontrib>Kikuchi, Shinji</creatorcontrib><creatorcontrib>Goto, Yukinobu</creatorcontrib><creatorcontrib>Sakai, Mitsuaki</creatorcontrib><creatorcontrib>Sato, Yukio</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Surgery today (Tokyo, Japan)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kobayashi, Keisuke</au><au>Saeki, Yusuke</au><au>Kitazawa, Shinsuke</au><au>Kobayashi, Naohiro</au><au>Kikuchi, Shinji</au><au>Goto, Yukinobu</au><au>Sakai, Mitsuaki</au><au>Sato, Yukio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Three-dimensional computed tomographic volumetry precisely predicts the postoperative pulmonary function</atitle><jtitle>Surgery today (Tokyo, Japan)</jtitle><stitle>Surg Today</stitle><addtitle>Surg Today</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>47</volume><issue>11</issue><spage>1303</spage><epage>1311</epage><pages>1303-1311</pages><issn>0941-1291</issn><eissn>1436-2813</eissn><abstract>Purpose
It is important to accurately predict the patient’s postoperative pulmonary function. The aim of this study was to compare the accuracy of predictions of the postoperative residual pulmonary function obtained with three-dimensional computed tomographic (3D-CT) volumetry with that of predictions obtained with the conventional segment-counting method.
Methods
Fifty-three patients scheduled to undergo lung cancer resection, pulmonary function tests, and computed tomography were enrolled in this study. The postoperative residual pulmonary function was predicted based on the segment-counting and 3D-CT volumetry methods. The predicted postoperative values were compared with the results of postoperative pulmonary function tests.
Results
Regarding the linear correlation coefficients between the predicted postoperative values and the measured values, those obtained using the 3D-CT volumetry method tended to be higher than those acquired using the segment-counting method. In addition, the variations between the predicted and measured values were smaller with the 3D-CT volumetry method than with the segment-counting method. These results were more obvious in COPD patients than in non-COPD patients.
Conclusions
Our findings suggested that the 3D-CT volumetry was able to predict the residual pulmonary function more accurately than the segment-counting method, especially in patients with COPD. This method might lead to the selection of appropriate candidates for surgery among patients with a marginal pulmonary function.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>28378062</pmid><doi>10.1007/s00595-017-1505-y</doi><tpages>9</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Female Humans Imaging, Three-Dimensional - methods Lung - diagnostic imaging Lung - pathology Lung - physiopathology Lung Neoplasms - complications Lung Neoplasms - diagnostic imaging Lung Neoplasms - pathology Lung Neoplasms - physiopathology Male Medicine Medicine & Public Health Middle Aged Organ Size Original Article Postoperative Period Predictive Value of Tests Pulmonary Disease, Chronic Obstructive - complications Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Disease, Chronic Obstructive - physiopathology Respiratory Function Tests - methods Surgery Surgical Oncology Tomography, X-Ray Computed - methods |
title | Three-dimensional computed tomographic volumetry precisely predicts the postoperative pulmonary function |
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