F-049PROGNOSTIC SIGNIFICANCE OF CENTRAL INFILTRATION OF INTERSTITIAL PNEUMONIA ON THIN-SECTION COMPUTED TOMOGRAPHY IN LUNG CANCER PATIENTS: A NEW PREOPERATIVE PREDICTOR OF POSTOPERATIVE MORTALITY

Mariko Fukui; K. Suzuki; T. Matsunaga; Y. Miyasaka; Y. Tsushima; K. Takamochi; S. Oh

doi:10.1093/icvts/ivt288.49

F-049PROGNOSTIC SIGNIFICANCE OF CENTRAL INFILTRATION OF INTERSTITIAL PNEUMONIA ON THIN-SECTION COMPUTED TOMOGRAPHY IN LUNG CANCER PATIENTS: A NEW PREOPERATIVE PREDICTOR OF POSTOPERATIVE MORTALITY

Interactive CardioVascular and Thoracic Surgery ◽

10.1093/icvts/ivt288.49 ◽

2013 ◽

Vol 17 (suppl_1) ◽

pp. S13-S13

Author(s):

Mariko Fukui ◽

K. Suzuki ◽

T. Matsunaga ◽

Y. Miyasaka ◽

Y. Tsushima ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Patients ◽

Interstitial Pneumonia ◽

Thin Section ◽

Postoperative Mortality ◽

Lung Cancer Patients

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Thin-section computed tomography-determined usual interstitial pneumonia pattern affects the decision-making process for resection in newly diagnosed lung cancer patients: a retrospective study

BMC Pulmonary Medicine ◽

10.1186/s12890-017-0565-5 ◽

2018 ◽

Vol 18 (1) ◽

Cited By ~ 1

Author(s):

Naozumi Hashimoto ◽

Akira Ando ◽

Shingo Iwano ◽

Koji Sakamoto ◽

Shotaro Okachi ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Decision Making ◽

Retrospective Study ◽

Cancer Patients ◽

Thin Section ◽

Usual Interstitial Pneumonia ◽

Decision Making Process ◽

Newly Diagnosed ◽

Lung Cancer Patients

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Rib fracture after stereotactic radiotherapy on follow-up thin-section computed tomography in 177 primary lung cancer patients

Radiation Oncology ◽

10.1186/1748-717x-6-137 ◽

2011 ◽

Vol 6 (1) ◽

Cited By ~ 22

Author(s):

Atsushi Nambu ◽

Hiroshi Onishi ◽

Shinichi Aoki ◽

Tsuyota Koshiishi ◽

Kengo Kuriyama ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Patients ◽

Thin Section ◽

Stereotactic Radiotherapy ◽

Primary Lung Cancer ◽

Rib Fracture ◽

Lung Cancer Patients

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P-127EXISTENCE OF AIR BRONCHOGRAM IN THE PRIMARY TUMOUR IS A POSITIVE PREDICTIVE FACTOR FOR C-STAGE IA LUNG CANCER PATIENTS WITH RADIOLOGICALLY PURE SOLID APPEARANCE ON THIN-SECTION COMPUTED TOMOGRAPHY SCAN

Interactive CardioVascular and Thoracic Surgery ◽

10.1093/icvts/ivt288.127 ◽

2013 ◽

Vol 17 (suppl_1) ◽

pp. S34-S34

Author(s):

Aritoshi Hattori ◽

K. Suzuki ◽

M. Fukui ◽

T. Matsunaga ◽

Y. Miyasaka ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Patients ◽

Thin Section ◽

Predictive Factor ◽

Primary Tumour ◽

Computed Tomography Scan ◽

Lung Cancer Patients ◽

Stage Ia ◽

Tomography Scan

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The maximum dimension of the inferior vena cava is a significant predictor of postoperative mortality in lung cancer patients with idiopathic interstitial pneumonia

Surgery Today ◽

10.1007/s00595-018-1757-1 ◽

2019 ◽

Vol 49 (6) ◽

pp. 467-473

Author(s):

Mariko Fukui ◽

Kazuya Takamochi ◽

Kazuhiro Suzuki ◽

Akihiro Hotta ◽

Katsutoshi Ando ◽

...

Keyword(s):

Lung Cancer ◽

Inferior Vena Cava ◽

Cancer Patients ◽

Interstitial Pneumonia ◽

Inferior Vena ◽

Vena Cava ◽

Postoperative Mortality ◽

Idiopathic Interstitial Pneumonia ◽

Maximum Dimension ◽

Lung Cancer Patients

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Revalidation of PET/computed tomography criteria (Hopkins criteria) for the assessment of therapeutic response in lung cancer patients

Nuclear Medicine Communications ◽

10.1097/mnm.0000000000001114 ◽

2020 ◽

Vol 41 (1) ◽

pp. 18-25

Author(s):

Khulood Al Riyami ◽

Noor Al Nuaimi ◽

Ruta Kliokyte ◽

Stefan Voo ◽

Andrew Thornton ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Patients ◽

Therapeutic Response ◽

Lung Cancer Patients

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Comparison of bronchoscopy and computed tomography-guided needle biopsy for re-biopsy in non-small cell lung cancer patients

Respiratory Investigation ◽

10.1016/j.resinv.2020.12.001 ◽

2021 ◽

Vol 59 (2) ◽

pp. 240-246

Author(s):

Hirohisa Kano ◽

Toshio Kubo ◽

Kiichiro Ninomiya ◽

Eiki Ichihara ◽

Kadoaki Ohashi ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Cell Lung Cancer ◽

Needle Biopsy ◽

Small Cell ◽

Small Cell Lung ◽

Lung Cancer Patients

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Quantitation of the reconstruction quality of a four-dimensional computed tomography process for lung cancer patients

Medical Physics ◽

10.1118/1.1870152 ◽

2005 ◽

Vol 32 (4) ◽

pp. 890-901 ◽

Cited By ~ 82

Author(s):

Wei Lu ◽

Parag J. Parikh ◽

Issam M. El Naqa ◽

Michelle M. Nystrom ◽

James P. Hubenschmidt ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Patients ◽

Lung Cancer Patients ◽

Reconstruction Quality

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Usefulness of Pulmonary Rehabilitation in Non-small Cell Lung Cancer Patients Based on Pulmonary Function Tests and Muscle Analysis Using Computed Tomography Images

Cancer Research and Treatment ◽

10.4143/crt.2021.769 ◽

2021 ◽

Author(s):

Juwhan Choi ◽

Zepa Yang ◽

Jinhwan Lee ◽

Jun Hee Lee ◽

Hyun Koo Kim ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Pulmonary Function ◽

Cancer Patients ◽

Pulmonary Rehabilitation ◽

Pulmonary Function Tests ◽

Small Cell ◽

Small Cell Lung ◽

Lung Cancer Patients ◽

Computed Tomography Images

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Efficacy and risk of cytotoxic chemotherapy in extensive disease-small cell lung cancer patients with interstitial pneumonia

BMC Cancer ◽

10.1186/s12885-019-5367-0 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 1

Author(s):

Masayuki Shirasawa ◽

Tomoya Fukui ◽

Seiichiro Kusuhara ◽

Yasuhiro Hiyoshi ◽

Yoshiro Nakahara ◽

...

Keyword(s):

Lung Cancer ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Interstitial Pneumonia ◽

Cell Lung Cancer ◽

Cytotoxic Chemotherapy ◽

Small Cell ◽

Small Cell Lung ◽

Extensive Disease ◽

Lung Cancer Patients

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Endoscopic ultrasound in lung cancer patients with a normal mediastinum on computed tomography

The Annals of Thoracic Surgery ◽

10.1016/j.athoracsur.2003.10.009 ◽

2004 ◽

Vol 77 (5) ◽

pp. 1763-1768 ◽

Cited By ~ 110

Author(s):

Michael B Wallace ◽

James Ravenel ◽

Mark I Block ◽

Mostafa Fraig ◽

Gerard Silvestri ◽

...

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Cancer Patients ◽

Endoscopic Ultrasound ◽

Lung Cancer Patients

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