Impact of accurate diagnosis of interstitial lung diseases on postoperative outcomes in lung cancer
Objective The prognostic impact of interstitial lung disease (ILD) subclassification based on both high-resolution computed tomography (HRCT) scan findings and histopathological findings is unknown. Methods We retrospectively analyzed 104 patients who were diagnosed with clinical ILD according to HR...
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| Veröffentlicht in: | General thoracic and cardiovascular surgery 2023-02, Vol.71 (2), p.129-137 |
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| creator | Azuma, Yoko Sakamoto, Susumu Homma, Sakae Sano, Atsushi Sakai, Takashi Koezuka, Satoshi Otsuka, Hajime Tochigi, Naobumi Kishi, Kazuma Iyoda, Akira |
| description | Objective
The prognostic impact of interstitial lung disease (ILD) subclassification based on both high-resolution computed tomography (HRCT) scan findings and histopathological findings is unknown.
Methods
We retrospectively analyzed 104 patients who were diagnosed with clinical ILD according to HRCT scan findings and who underwent lung cancer surgery. Via an expert multidisciplinary discussion, we re-classified HRCT scan findings and validated the histopathological patterns of ILDs in lung specimens.
Results
There were several mismatches between HRCT scan findings and histological patterns. Moreover, 87 (83.7%) and 6 (5.8%) patients were diagnosed with definitive ILD and pathological non-ILD, respectively. Finally, 82 patients with idiopathic interstitial pneumonias (IIPs) were divided into the idiopathic pulmonary fibrosis (IPF) (
n
= 61) group and the other group (
n
= 21). The 5-year overall survival rate of the IPF group was significantly lower than that of the other group (22.8% vs 67.9%;
p
= 0.011). Sub-classification of IIPs was found to be an independent prognostic factor for overall survival in patients with lung cancer.
Conclusion
An accurate diagnosis of IIPs/IPF according to both HRCT scan findings and histological patterns is important for providing an appropriate treatment among patients with lung cancer who presented with clinical ILD. |
| doi_str_mv | 10.1007/s11748-022-01868-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9886620</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2706182843</sourcerecordid><originalsourceid>FETCH-LOGICAL-c564t-cd2d285a73b49276fef419230f301aa86ec68d9be480ae1f74f45be2d8ae3ec03</originalsourceid><addsrcrecordid>eNp9kUtv1TAQhS1ERUvLH2CBIrFhE_Arjr1BQhWPSpXYtGtrrjO5uErsYDuV-Pf1JeXyWLDyyOc7xx4dQl4y-pZR2r_LjPVSt5TzljKtdKuekLM6iFb1TDw9zrQ7Jc9zvqO0U5p1z8ip6IwxkvEz4q7mBVxp4tiAc2uCgs3gYR9i9vlw60PBlIsvHqZmWsO-yhkhY1VDs8Rc4oLV5u-xiWtxca6KDxvqIDhMF-RkhCnji8fznNx--nhz-aW9_vr56vLDdes6JUvrBj5w3UEvdtLwXo04Sma4oKOgDEArdEoPZodSU0A29nKU3Q75oAEFOirOyfstd1l3Mw4OQ0kw2SX5GdIPG8Hbv5Xgv9l9vLdGa6X4IeDNY0CK31fMxc4-O5wmCBjXbHlPFdNcS1HR1_-gd3FNoa5nuWG6l7UaUym-US7FnBOOx88wag8d2q1DWzu0Pzu0qppe_bnG0fKrtAqIDchVCntMv9_-T-wDxo2qHg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918741749</pqid></control><display><type>article</type><title>Impact of accurate diagnosis of interstitial lung diseases on postoperative outcomes in lung cancer</title><source>MEDLINE</source><source>ProQuest Central (Alumni Edition)</source><source>SpringerNature Journals</source><source>ProQuest Central UK/Ireland</source><source>ProQuest Central</source><creator>Azuma, Yoko ; Sakamoto, Susumu ; Homma, Sakae ; Sano, Atsushi ; Sakai, Takashi ; Koezuka, Satoshi ; Otsuka, Hajime ; Tochigi, Naobumi ; Kishi, Kazuma ; Iyoda, Akira</creator><creatorcontrib>Azuma, Yoko ; Sakamoto, Susumu ; Homma, Sakae ; Sano, Atsushi ; Sakai, Takashi ; Koezuka, Satoshi ; Otsuka, Hajime ; Tochigi, Naobumi ; Kishi, Kazuma ; Iyoda, Akira</creatorcontrib><description>Objective
The prognostic impact of interstitial lung disease (ILD) subclassification based on both high-resolution computed tomography (HRCT) scan findings and histopathological findings is unknown.
Methods
We retrospectively analyzed 104 patients who were diagnosed with clinical ILD according to HRCT scan findings and who underwent lung cancer surgery. Via an expert multidisciplinary discussion, we re-classified HRCT scan findings and validated the histopathological patterns of ILDs in lung specimens.
Results
There were several mismatches between HRCT scan findings and histological patterns. Moreover, 87 (83.7%) and 6 (5.8%) patients were diagnosed with definitive ILD and pathological non-ILD, respectively. Finally, 82 patients with idiopathic interstitial pneumonias (IIPs) were divided into the idiopathic pulmonary fibrosis (IPF) (
n
= 61) group and the other group (
n
= 21). The 5-year overall survival rate of the IPF group was significantly lower than that of the other group (22.8% vs 67.9%;
p
= 0.011). Sub-classification of IIPs was found to be an independent prognostic factor for overall survival in patients with lung cancer.
Conclusion
An accurate diagnosis of IIPs/IPF according to both HRCT scan findings and histological patterns is important for providing an appropriate treatment among patients with lung cancer who presented with clinical ILD.</description><identifier>ISSN: 1863-6705</identifier><identifier>EISSN: 1863-6713</identifier><identifier>DOI: 10.1007/s11748-022-01868-6</identifier><identifier>PMID: 35999412</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Cancer therapies ; Cardiac Surgery ; Cardiology ; Classification ; Cysts ; Fibroblasts ; Humans ; Idiopathic Interstitial Pneumonias ; Idiopathic Pulmonary Fibrosis - diagnosis ; Idiopathic Pulmonary Fibrosis - diagnostic imaging ; Lung - pathology ; Lung cancer ; Lung diseases ; Lung Diseases, Interstitial - diagnosis ; Lung Neoplasms - complications ; Lung Neoplasms - diagnosis ; Lung Neoplasms - surgery ; Medical prognosis ; Medicine ; Medicine & Public Health ; Normal distribution ; Original ; Original Article ; Patients ; Pneumonia ; Retrospective Studies ; Surgery ; Surgical Oncology ; Thoracic Surgery ; Tomography</subject><ispartof>General thoracic and cardiovascular surgery, 2023-02, Vol.71 (2), p.129-137</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-cd2d285a73b49276fef419230f301aa86ec68d9be480ae1f74f45be2d8ae3ec03</citedby><cites>FETCH-LOGICAL-c564t-cd2d285a73b49276fef419230f301aa86ec68d9be480ae1f74f45be2d8ae3ec03</cites><orcidid>0000-0002-0908-4840</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11748-022-01868-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918741749?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,21388,21389,27924,27925,33530,33531,33744,33745,41488,42557,43659,43805,51319,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35999412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Azuma, Yoko</creatorcontrib><creatorcontrib>Sakamoto, Susumu</creatorcontrib><creatorcontrib>Homma, Sakae</creatorcontrib><creatorcontrib>Sano, Atsushi</creatorcontrib><creatorcontrib>Sakai, Takashi</creatorcontrib><creatorcontrib>Koezuka, Satoshi</creatorcontrib><creatorcontrib>Otsuka, Hajime</creatorcontrib><creatorcontrib>Tochigi, Naobumi</creatorcontrib><creatorcontrib>Kishi, Kazuma</creatorcontrib><creatorcontrib>Iyoda, Akira</creatorcontrib><title>Impact of accurate diagnosis of interstitial lung diseases on postoperative outcomes in lung cancer</title><title>General thoracic and cardiovascular surgery</title><addtitle>Gen Thorac Cardiovasc Surg</addtitle><addtitle>Gen Thorac Cardiovasc Surg</addtitle><description>Objective
The prognostic impact of interstitial lung disease (ILD) subclassification based on both high-resolution computed tomography (HRCT) scan findings and histopathological findings is unknown.
Methods
We retrospectively analyzed 104 patients who were diagnosed with clinical ILD according to HRCT scan findings and who underwent lung cancer surgery. Via an expert multidisciplinary discussion, we re-classified HRCT scan findings and validated the histopathological patterns of ILDs in lung specimens.
Results
There were several mismatches between HRCT scan findings and histological patterns. Moreover, 87 (83.7%) and 6 (5.8%) patients were diagnosed with definitive ILD and pathological non-ILD, respectively. Finally, 82 patients with idiopathic interstitial pneumonias (IIPs) were divided into the idiopathic pulmonary fibrosis (IPF) (
n
= 61) group and the other group (
n
= 21). The 5-year overall survival rate of the IPF group was significantly lower than that of the other group (22.8% vs 67.9%;
p
= 0.011). Sub-classification of IIPs was found to be an independent prognostic factor for overall survival in patients with lung cancer.
Conclusion
An accurate diagnosis of IIPs/IPF according to both HRCT scan findings and histological patterns is important for providing an appropriate treatment among patients with lung cancer who presented with clinical ILD.</description><subject>Cancer therapies</subject><subject>Cardiac Surgery</subject><subject>Cardiology</subject><subject>Classification</subject><subject>Cysts</subject><subject>Fibroblasts</subject><subject>Humans</subject><subject>Idiopathic Interstitial Pneumonias</subject><subject>Idiopathic Pulmonary Fibrosis - diagnosis</subject><subject>Idiopathic Pulmonary Fibrosis - diagnostic imaging</subject><subject>Lung - pathology</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Lung Diseases, Interstitial - diagnosis</subject><subject>Lung Neoplasms - complications</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - surgery</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Normal distribution</subject><subject>Original</subject><subject>Original Article</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Retrospective Studies</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Thoracic Surgery</subject><subject>Tomography</subject><issn>1863-6705</issn><issn>1863-6713</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kUtv1TAQhS1ERUvLH2CBIrFhE_Arjr1BQhWPSpXYtGtrrjO5uErsYDuV-Pf1JeXyWLDyyOc7xx4dQl4y-pZR2r_LjPVSt5TzljKtdKuekLM6iFb1TDw9zrQ7Jc9zvqO0U5p1z8ip6IwxkvEz4q7mBVxp4tiAc2uCgs3gYR9i9vlw60PBlIsvHqZmWsO-yhkhY1VDs8Rc4oLV5u-xiWtxca6KDxvqIDhMF-RkhCnji8fznNx--nhz-aW9_vr56vLDdes6JUvrBj5w3UEvdtLwXo04Sma4oKOgDEArdEoPZodSU0A29nKU3Q75oAEFOirOyfstd1l3Mw4OQ0kw2SX5GdIPG8Hbv5Xgv9l9vLdGa6X4IeDNY0CK31fMxc4-O5wmCBjXbHlPFdNcS1HR1_-gd3FNoa5nuWG6l7UaUym-US7FnBOOx88wag8d2q1DWzu0Pzu0qppe_bnG0fKrtAqIDchVCntMv9_-T-wDxo2qHg</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Azuma, Yoko</creator><creator>Sakamoto, Susumu</creator><creator>Homma, Sakae</creator><creator>Sano, Atsushi</creator><creator>Sakai, Takashi</creator><creator>Koezuka, Satoshi</creator><creator>Otsuka, Hajime</creator><creator>Tochigi, Naobumi</creator><creator>Kishi, Kazuma</creator><creator>Iyoda, Akira</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0908-4840</orcidid></search><sort><creationdate>20230201</creationdate><title>Impact of accurate diagnosis of interstitial lung diseases on postoperative outcomes in lung cancer</title><author>Azuma, Yoko ; Sakamoto, Susumu ; Homma, Sakae ; Sano, Atsushi ; Sakai, Takashi ; Koezuka, Satoshi ; Otsuka, Hajime ; Tochigi, Naobumi ; Kishi, Kazuma ; Iyoda, Akira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-cd2d285a73b49276fef419230f301aa86ec68d9be480ae1f74f45be2d8ae3ec03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cancer therapies</topic><topic>Cardiac Surgery</topic><topic>Cardiology</topic><topic>Classification</topic><topic>Cysts</topic><topic>Fibroblasts</topic><topic>Humans</topic><topic>Idiopathic Interstitial Pneumonias</topic><topic>Idiopathic Pulmonary Fibrosis - diagnosis</topic><topic>Idiopathic Pulmonary Fibrosis - diagnostic imaging</topic><topic>Lung - pathology</topic><topic>Lung cancer</topic><topic>Lung diseases</topic><topic>Lung Diseases, Interstitial - diagnosis</topic><topic>Lung Neoplasms - complications</topic><topic>Lung Neoplasms - diagnosis</topic><topic>Lung Neoplasms - surgery</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Normal distribution</topic><topic>Original</topic><topic>Original Article</topic><topic>Patients</topic><topic>Pneumonia</topic><topic>Retrospective Studies</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Thoracic Surgery</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Azuma, Yoko</creatorcontrib><creatorcontrib>Sakamoto, Susumu</creatorcontrib><creatorcontrib>Homma, Sakae</creatorcontrib><creatorcontrib>Sano, Atsushi</creatorcontrib><creatorcontrib>Sakai, Takashi</creatorcontrib><creatorcontrib>Koezuka, Satoshi</creatorcontrib><creatorcontrib>Otsuka, Hajime</creatorcontrib><creatorcontrib>Tochigi, Naobumi</creatorcontrib><creatorcontrib>Kishi, Kazuma</creatorcontrib><creatorcontrib>Iyoda, Akira</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>General thoracic and cardiovascular surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Azuma, Yoko</au><au>Sakamoto, Susumu</au><au>Homma, Sakae</au><au>Sano, Atsushi</au><au>Sakai, Takashi</au><au>Koezuka, Satoshi</au><au>Otsuka, Hajime</au><au>Tochigi, Naobumi</au><au>Kishi, Kazuma</au><au>Iyoda, Akira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of accurate diagnosis of interstitial lung diseases on postoperative outcomes in lung cancer</atitle><jtitle>General thoracic and cardiovascular surgery</jtitle><stitle>Gen Thorac Cardiovasc Surg</stitle><addtitle>Gen Thorac Cardiovasc Surg</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>71</volume><issue>2</issue><spage>129</spage><epage>137</epage><pages>129-137</pages><issn>1863-6705</issn><eissn>1863-6713</eissn><abstract>Objective
The prognostic impact of interstitial lung disease (ILD) subclassification based on both high-resolution computed tomography (HRCT) scan findings and histopathological findings is unknown.
Methods
We retrospectively analyzed 104 patients who were diagnosed with clinical ILD according to HRCT scan findings and who underwent lung cancer surgery. Via an expert multidisciplinary discussion, we re-classified HRCT scan findings and validated the histopathological patterns of ILDs in lung specimens.
Results
There were several mismatches between HRCT scan findings and histological patterns. Moreover, 87 (83.7%) and 6 (5.8%) patients were diagnosed with definitive ILD and pathological non-ILD, respectively. Finally, 82 patients with idiopathic interstitial pneumonias (IIPs) were divided into the idiopathic pulmonary fibrosis (IPF) (
n
= 61) group and the other group (
n
= 21). The 5-year overall survival rate of the IPF group was significantly lower than that of the other group (22.8% vs 67.9%;
p
= 0.011). Sub-classification of IIPs was found to be an independent prognostic factor for overall survival in patients with lung cancer.
Conclusion
An accurate diagnosis of IIPs/IPF according to both HRCT scan findings and histological patterns is important for providing an appropriate treatment among patients with lung cancer who presented with clinical ILD.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><pmid>35999412</pmid><doi>10.1007/s11748-022-01868-6</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0908-4840</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Cancer therapies Cardiac Surgery Cardiology Classification Cysts Fibroblasts Humans Idiopathic Interstitial Pneumonias Idiopathic Pulmonary Fibrosis - diagnosis Idiopathic Pulmonary Fibrosis - diagnostic imaging Lung - pathology Lung cancer Lung diseases Lung Diseases, Interstitial - diagnosis Lung Neoplasms - complications Lung Neoplasms - diagnosis Lung Neoplasms - surgery Medical prognosis Medicine Medicine & Public Health Normal distribution Original Original Article Patients Pneumonia Retrospective Studies Surgery Surgical Oncology Thoracic Surgery Tomography |
| title | Impact of accurate diagnosis of interstitial lung diseases on postoperative outcomes in lung cancer |
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