The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Jinyuan Shih - One of the best experts on this subject based on the ideXlab platform.
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the value of radial endoBronchial ultrasound guided Bronchial Brushing in peripheral non squamous non small cell lung cancer
Scientific Reports, 2018Co-Authors: Tzuhsiu Tsai, Weiyu Liao, Chingkai Lin, Chialin Hsu, Jinyuan ShihAbstract:Radial endoBronchial ultrasound (R-EBUS) is one important diagnostic approach in non-small cell lung cancers (NSCLC). However, the small samples obtained from R-EBUS-guided transBronchial biopsies are sometimes insufficient for pathological and molecular diagnosis. Herein, we investigated the suitability of R-EBUS-guided Bronchial Brushing specimens for NSCLC diagnosis and EGFR genotyping. We enrolled 941 consecutive patients with peripheral pulmonary lesions who underwent R-EBUS. Cytology-positive Brushing specimens from non-squamous NSCLC patients were tested for EGFR mutations. Non-squamous NSCLC was diagnosed in 624 patients (66.3%). Positive cytology was documented in the Brushing samples of 376 patients (60.3%). Higher diagnostic yields were obtained in patients exhibiting bronchus signs on chest tomography, and those with R-EBUS probe located within the lesion. EGFR genotyping was successfully performed in 363 samples (96.5% of cytology-positive Brushing samples). EGFR genotyping concordance between Brushing specimens and matched tissue samples was 88.7% (kappa = 0.745, P < 0.001). Furthermore, 144 non-squamous NSCLC patients (23.1%) with failed pathological diagnosis or EGER sequencing by R-EBUS-guided transBronchial biopsy required repeat biopsies. However, it was achieved successfully from the Brushing specimens of 57 patients (39.6%). In conclusion, for patients with peripheral lung cancer, R-EBUS-guided Bronchial Brushing could provide an additional sampling method for diagnosis and EGFR genotyping.
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The value of radial endoBronchial ultrasound-guided Bronchial Brushing in peripheral non-squamous non-small cell lung cancer
Nature Publishing Group, 2018Co-Authors: Tzuhsiu Tsai, Weiyu Liao, Chingkai Lin, Chialin Hsu, Jinyuan ShihAbstract:Abstract Radial endoBronchial ultrasound (R-EBUS) is one important diagnostic approach in non-small cell lung cancers (NSCLC). However, the small samples obtained from R-EBUS-guided transBronchial biopsies are sometimes insufficient for pathological and molecular diagnosis. Herein, we investigated the suitability of R-EBUS-guided Bronchial Brushing specimens for NSCLC diagnosis and EGFR genotyping. We enrolled 941 consecutive patients with peripheral pulmonary lesions who underwent R-EBUS. Cytology-positive Brushing specimens from non-squamous NSCLC patients were tested for EGFR mutations. Non-squamous NSCLC was diagnosed in 624 patients (66.3%). Positive cytology was documented in the Brushing samples of 376 patients (60.3%). Higher diagnostic yields were obtained in patients exhibiting bronchus signs on chest tomography, and those with R-EBUS probe located within the lesion. EGFR genotyping was successfully performed in 363 samples (96.5% of cytology-positive Brushing samples). EGFR genotyping concordance between Brushing specimens and matched tissue samples was 88.7% (kappa = 0.745, P
S S Wagenaar - One of the best experts on this subject based on the ideXlab platform.
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diagnosis of pneumocystis carinii pneumonia in hiv positive patients bronchoalveolar lavage vs Bronchial Brushing
Acta Cytologica, 1998Co-Authors: Remco S Djamin, Marjolein Drent, Ad J M Schreurs, Enny A H Groen, S S WagenaarAbstract:OBJECTIVE: To evaluate the contribution of bronchoalveolar lavage (BAL) and Bronchial Brushing (BB) and the use of different tinctorial stains in the detection of Pneumocystis carinii (PC) in human immunodeficiency virus (HIV)-positive patients. STUDY DESIGN: In a retrospective study, 195 HIV-positive patients suspected of a pulmonary infection underwent bronchoscopy with BAL. In 143 cases subsequent BB was performed. On 135 BAL fluid cytocentrifuge preparations four staining techniques were applied simultaneously: May-Grunwald-Giemsa (MGG), toluidine blue-O (TOL), Papanicolaou (PAP) and Grocott methenamine silver (GRO). RESULTS: PC was recovered in 79 (40.5%) cases. The yields of MGG and TOL were identical (33.3%). PAP and GRO showed lower results, 31.1% and 29.6%, respectively. These differences were not statistically significant. The combination of BAL and BB revealed 64 cases of PC infection. BAL was positive in the vast majority of cases (63, 44.1%). BB was positive in 54 (37.8%). The combination of positive BB with negative BAL was present in one case. However, 10 cases of PC were found with the use of BAL and not detected by BB (P<.01). CONCLUSION: The results of this study indicate that to confirm a PC infection in HIV-positive patients, the use of bronchoalveolar lavage with a single staining technique is appropriate. Bronchial Brushing seems to be of limited additional value.
Masaharu Nishimura - One of the best experts on this subject based on the ideXlab platform.
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diagnostic value of endoBronchial ultrasonography with a guide sheath for peripheral pulmonary lesions without x ray fluoroscopy
Chest, 2007Co-Authors: Motoko Yoshikawa, Noriaki Sukoh, Koichi Yamazaki, Shinichi Fukumoto, Masao Harada, Eiki Kikuchi, Kenya Kanazawa, Mitsuru Munakata, Masaharu Nishimura, Hiroshi IsobeAbstract:Study objectives We evaluated the feasibility and efficacy of transBronchial biopsy (TBB) and Bronchial Brushing by endoBronchial ultrasonography (EBUS) with a guide sheath (GS) as a guide for diagnosing peripheral pulmonary lesions (PPLs) without radiographic fluoroscopy. Patients One hundred twenty-one patients with 123 PPLs (mean diameter, 31.0 mm) whose bronchoscopic findings were normal. Methods An EBUS-GS was inserted and advanced to the PPL without fluoroscopy. Once we obtained the EBUS image, the probe was withdrawn and the GS was left in place. TBB and/or Bronchial Brushing were performed via the GS. When an EBUS image could not be obtained, we changed to the bronchoscopic examination under fluoroscopy. Results Seventy-six of 123 PPLs (61.8%) were diagnosed by EBUS-GS guidance without fluoroscopy. The diagnostic yield for PPLs > 20 mm in diameter (75.6%) was significantly higher than that for those ≤ 20 mm in diameter (29.7%; p Conclusions EBUS-GS–guided bronchoscopy without the use of radiographic fluoroscopy is effective for diagnosing PPLs. The diameter, location, and CT scan appearance of the PPLs, and the identification of the bronchus leading to the PPLs were valuable as factors related to a higher diagnostic sensitivity with this procedure.
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endoBronchial ultrasonography with guide sheath for peripheral pulmonary lesions
European Respiratory Journal, 2004Co-Authors: Eiki Kikuchi, Noriaki Kurimoto, Noriaki Sukoh, Koichi Yamazaki, Junko Kikuchi, Hajime Asahina, Mikado Imura, Yuya Onodera, Ichiro Kinoshita, Masaharu NishimuraAbstract:The usefulness of endoBronchial ultrasonography (EBUS) with guide-sheath (GS) as a guide for transBronchial biopsy (TBB) for diagnosing peripheral pulmonary lesions (PPL)s and for improving diagnostic accuracy was evaluated in this study. EBUS-GS-guided TBB was performed in 24 patients with 24 PPLs of < or =30 mm in diameter (average diameter=18.4 mm). A 20-MHz radial-type ultrasound probe, covered with GS was inserted via a working bronchoscope channel and advanced to the PPL in order to produce an EBUS image. The probe with the GS was confirmed to reach the lesion by EBUS imaging and X-ray fluoroscopy. When the lesion was not identified on the EBUS image, the probe was removed and a curette was used to lead the GS to the lesion. After localising the lesion, the probe was removed, and TBB and Bronchial Brushing were performed via the GS. Nineteen peripheral lesions (79.2%) were visualised by EBUS. All patients whose PPLs were visible on EBUS images subsequently underwent an EBUS-GS-guided diagnostic procedure. A total of 14 lesions (58.3%) were diagnosed. Even when restricted to PPLs <20 mm in diameter, the diagnostic sensitivity was 53%. In conclusion, endoBronchial ultrasonography with guide sheath-guided transBronchial biopsy was feasible and effective for diagnosing peripheral pulmonary lesions.
J. Menche - One of the best experts on this subject based on the ideXlab platform.
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integration of molecular interactome and targeted interaction analysis to identify a copd disease network module
Scientific Reports, 2018Co-Authors: Amitabh Sharma, Maksim Kitsak, Michael H Cho, Asher Ameli, Xiaobo Zhou, Zhiqiang Jiang, James D Crapo, Terri H Beaty, J. MencheAbstract:The polygenic nature of complex diseases offers potential opportunities to utilize network-based approaches that leverage the comprehensive set of protein-protein interactions (the human interactome) to identify new genes of interest and relevant biological pathways. However, the incompleteness of the current human interactome prevents it from reaching its full potential to extract network-based knowledge from gene discovery efforts, such as genome-wide association studies, for complex diseases like chronic obstructive pulmonary disease (COPD). Here, we provide a framework that integrates the existing human interactome information with experimental protein-protein interaction data for FAM13A, one of the most highly associated genetic loci to COPD, to find a more comprehensive disease network module. We identified an initial disease network neighborhood by applying a random-walk method. Next, we developed a network-based closeness approach (CAB) that revealed 9 out of 96 FAM13A interacting partners identified by affinity purification assays were significantly close to the initial network neighborhood. Moreover, compared to a similar method (local radiality), the CAB approach predicts low-degree genes as potential candidates. The candidates identified by the network-based closeness approach were combined with the initial network neighborhood to build a comprehensive disease network module (163 genes) that was enriched with genes differentially expressed between controls and COPD subjects in alveolar macrophages, lung tissue, sputum, blood, and Bronchial Brushing datasets. Overall, we demonstrate an approach to find disease-related network components using new laboratory data to overcome incompleteness of the current interactome.
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integration of molecular interactome and targeted interaction analysis to identify a copd disease network module
bioRxiv, 2018Co-Authors: Amitabh Sharma, Maksim Kitsak, Michael H Cho, Asher Ameli, Xiaobo Zhou, Zhiqiang Jiang, James D Crapo, Terri H Beaty, J. MencheAbstract:Abstract The polygenic nature of complex diseases offers potential opportunities to utilize network-based approaches that leverage the comprehensive set of protein-protein interactions (the human interactome) to identify new genes of interest and relevant biological pathways. However, the incompleteness of the current human interactome prevents it from reaching its full potential to extract network-based knowledge from gene discovery efforts, such as genome-wide association studies, for complex diseases like chronic obstructive pulmonary disease (COPD). Here, we provide a framework that integrates the existing human interactome information with new experimental protein-protein interaction data for FAM13A, one of the most highly associated genetic loci to COPD, to find a more comprehensive disease network module. We identified an initial disease network neighborhood by applying a random-walk method. Next, we developed a network-based closeness approach (CAB) that revealed 9 out of 96 FAM13A interacting partners identified by affinity purification assays were significantly close to the initial network neighborhood. Moreover, compared to a similar method (local radiality), the CAB approach predicts low-degree genes as potential candidates. The candidates identified by the network-based closeness approach were combined with the initial network neighborhood to build a comprehensive disease network module (163 genes) that was enriched with genes differentially expressed between controls and COPD subjects in alveolar macrophages, lung tissue, sputum, blood, and Bronchial Brushing datasets. Overall, we demonstrate an approach to find disease-related network components using new laboratory data to overcome incompleteness of the current interactome.
Asher Ameli - One of the best experts on this subject based on the ideXlab platform.
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integration of molecular interactome and targeted interaction analysis to identify a copd disease network module
Scientific Reports, 2018Co-Authors: Amitabh Sharma, Maksim Kitsak, Michael H Cho, Asher Ameli, Xiaobo Zhou, Zhiqiang Jiang, James D Crapo, Terri H Beaty, J. MencheAbstract:The polygenic nature of complex diseases offers potential opportunities to utilize network-based approaches that leverage the comprehensive set of protein-protein interactions (the human interactome) to identify new genes of interest and relevant biological pathways. However, the incompleteness of the current human interactome prevents it from reaching its full potential to extract network-based knowledge from gene discovery efforts, such as genome-wide association studies, for complex diseases like chronic obstructive pulmonary disease (COPD). Here, we provide a framework that integrates the existing human interactome information with experimental protein-protein interaction data for FAM13A, one of the most highly associated genetic loci to COPD, to find a more comprehensive disease network module. We identified an initial disease network neighborhood by applying a random-walk method. Next, we developed a network-based closeness approach (CAB) that revealed 9 out of 96 FAM13A interacting partners identified by affinity purification assays were significantly close to the initial network neighborhood. Moreover, compared to a similar method (local radiality), the CAB approach predicts low-degree genes as potential candidates. The candidates identified by the network-based closeness approach were combined with the initial network neighborhood to build a comprehensive disease network module (163 genes) that was enriched with genes differentially expressed between controls and COPD subjects in alveolar macrophages, lung tissue, sputum, blood, and Bronchial Brushing datasets. Overall, we demonstrate an approach to find disease-related network components using new laboratory data to overcome incompleteness of the current interactome.
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integration of molecular interactome and targeted interaction analysis to identify a copd disease network module
bioRxiv, 2018Co-Authors: Amitabh Sharma, Maksim Kitsak, Michael H Cho, Asher Ameli, Xiaobo Zhou, Zhiqiang Jiang, James D Crapo, Terri H Beaty, J. MencheAbstract:Abstract The polygenic nature of complex diseases offers potential opportunities to utilize network-based approaches that leverage the comprehensive set of protein-protein interactions (the human interactome) to identify new genes of interest and relevant biological pathways. However, the incompleteness of the current human interactome prevents it from reaching its full potential to extract network-based knowledge from gene discovery efforts, such as genome-wide association studies, for complex diseases like chronic obstructive pulmonary disease (COPD). Here, we provide a framework that integrates the existing human interactome information with new experimental protein-protein interaction data for FAM13A, one of the most highly associated genetic loci to COPD, to find a more comprehensive disease network module. We identified an initial disease network neighborhood by applying a random-walk method. Next, we developed a network-based closeness approach (CAB) that revealed 9 out of 96 FAM13A interacting partners identified by affinity purification assays were significantly close to the initial network neighborhood. Moreover, compared to a similar method (local radiality), the CAB approach predicts low-degree genes as potential candidates. The candidates identified by the network-based closeness approach were combined with the initial network neighborhood to build a comprehensive disease network module (163 genes) that was enriched with genes differentially expressed between controls and COPD subjects in alveolar macrophages, lung tissue, sputum, blood, and Bronchial Brushing datasets. Overall, we demonstrate an approach to find disease-related network components using new laboratory data to overcome incompleteness of the current interactome.
