Diagnostic Value of Bronchoalveolar Lavage for Diagnosis of Suspected Peripheral Lung Cancer

Bezel, Pascal; Tischler, Verena; Robinson, C.; Baumueller, Stephan; Bode-Lesniewska, Beata; Kohler, Malcolm; Freitag, Lutz; Franzen, Daniel

doi:10.1016/j.cllc.2015.12.012

Cited by 16 publications

(14 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Many clinical studies have confirmed the utility of AFB in the detection of cellular changes in earlystage lung cancer, with noninvasive neoplastic lesions, small lesions, preneoplastic lesions, and neoplastic changes in tissue detected using state-of-the-art AFB diagnostic systems. Although such detection is possible using WLB, its performance is not as good as that of AFB [2], [5] to [7].…”

Section: Introductionmentioning

confidence: 99%

Classification of Malignancy in Suspicious Lesions Using Autofluorescence Bronchoscopy

Finkst

Tasič

Terčelj

et al. 2017

SV-JME

View full text Add to dashboard Cite

This paper presents a novel approach to the classification of bronchial tissue as either malignant or precancerous based on autofluorescence bronchoscopy (AFB) images. The study consisted of 44 images, of which 22 were confirmed as malignant and 22 as nonmalignant precancerous cases. Our approach starts with the detection of a region of interest (ROI). This is followed by an analysis of semi-normal intensity distributions in gray-scale images of red and green components of the previously identified ROI. Based on the results of this analysis, features are computed, which are then used to build an image-classification model. This model classifies the tissue images into malignant/ nonmalignant classes. We utilized several classification algorithms, i.e., naive Bayes, K-nearest-neighbor (K-NN), and support vector machine (SVM) with dot kernel. The criteria used when testing their performance were accuracy, sensitivity, specificity, and the area under the curve. Wilcoxon's signed-rank test was used to confirm the accuracy of the classification method. The proposed method was compared to a similar approach reported by Buountris et al., who analyzed the texture features in a gray-level co-occurrence matrix (GLCM). Using the bestperforming classification algorithm (SVM with dot kernel), the accuracy of the proposed approach (95.8 %) was better than that reported by Bountris et al. (92.1 %).

show abstract

Section: Introductionmentioning

confidence: 99%

Classification of Malignancy in Suspicious Lesions Using Autofluorescence Bronchoscopy

Finkst

Tasič

Terčelj

et al. 2017

SV-JME

View full text Add to dashboard Cite

show abstract

“…Bezel et al zeigten in einer aktuellen retrospektiven Analyse eine Sensitivität der BAL-Zytologie für maligne Zellen von 29 % (deckungsgleich mit unseren Ergebnissen). Lediglich in einem Prozent wurde ein sonst nicht diagnostiziertes Lungenkarzinom durch die BAL erkannt [5]. Eine Ausnahme mit höherer Sensitivität der Zytologie stellen möglicherweise die bronchialen Adenokarzinome vom mukoviszinösen Typ dar [2].…”

Section: Resultsunclassified

Evaluation zum möglichen Stellenwert der Bronchiallavagezytologie bei Erstdiagnose und Nachsorge des Lungenkarzinoms

Grünewaldt

Hügel

Hermann³

et al. 2017

Pneumologie

View full text Add to dashboard Cite

Bronchoalveolar lavage [BAL] is an important procedure in the diagnosis of a variety of lung diseases. While it has enormous value in the diagnostics of inflammatory parenchymal diseases, its significance in lung cancer is unclear. Keeping in mind that immune therapy (e. g. application of checkpoint inhibitors) is gaining importance in the management of lung carcinoma, it is important to know if there are typical cellular patterns in BAL of lung cancer patients. In a retrospective proof of principle-study, we analyzed 38 patients who underwent BAL at the initial diagnosis of lung cancer. We observed an elevated level of CD25 lymphocytes as well as an increased expression of DR antigen, both signaling lymphocyte activation. We could not find a typical cytologic pattern of inflammatory cells in lung carcinoma patients. Sensitivity of BAL to malignant cells was rare, thus confirming earlier analysis. We could not demonstrate typical cellular patterns in BAL of lung cancer patients. Evaluation of specific microRNA patterns might play a supporting role in the initial diagnosis as well as follow-up of lung cancer patients.

show abstract

“…The major drawback of relying on procedures such as BAL as a diagnostic modality for empyema is the vast range of normal values and dilution factors that undermine its comparability [17]. BAL cytology can be used to diagnose malignancies, which often predispose patients to the development of empyema [18].…”

Section: Discussionmentioning

confidence: 99%

“…BAL cytology can be used to diagnose malignancies, which often predispose patients to the development of empyema [18]. In a study by Bezel et al, BAL's sensitivity for the diagnosis of carcinoma was found to be 29% with an overall diagnostic yield of 46%, thus proving its meager diagnostic ability in the diagnosis of carcinoma [17]. The low sensitivity and diagnostic yield of BAL suggest the need for its assessment as a diagnostic investigation for empyema.…”

Section: Discussionmentioning

confidence: 99%

The Utility of Intraoperative Microbiological, Cytological, and Histopathological Sampling in the Setting of an Empyema Necessitating Lung Decortication Surgery

Niaz

Almas

Phelan

et al. 2020

Cureus

View full text Add to dashboard Cite

Introduction and Aims: Empyema thoracis is a pleural space pathology that indicates accumulation of purulent material in the pleural space. It is often associated with an underlying infectious process, such as pneumonia, but can also be a ramification of a more sinister etiology, such as lung carcinoma, often warranting lung decortication surgery for prompt resolution. Although radiological imaging is used to form a preliminary diagnosis, its true predictive value remains questionable, and intraoperative microbiological, cytological, and histopathological samples are thus instrumental in yielding helpful diagnostic information. This study aims to gauge whether intraoperative microbiological, cytological, and histopathological analyses yield any additional diagnostic information in establishing the etiology underlying empyema, necessitating decortication surgery. Methods: Microbiological, cytological, and histopathological records of 43 patients undergoing decortication surgery were included in this study. Only patients who were diagnosed with late stages of empyema and subsequently underwent decortication surgery were included in this study. Results: The sample consisted of 43 patients, including 23 males and 20 females. For microbiology, 4.88% of the bronchoalveolar lavage (BAL) samples, 7.69% of tissue fluid samples, and 7.32% of pleural fluid samples were positive for an infectious microorganism. For cytology/histopathology, 0.00% of BAL samples, 5.41% of pleural fluid samples, and 7.32% of tissue samples were positive for an underlying infective etiology. Conclusion: For the study and analysis of the microbiological samples, a myriad of all three different modalities of diagnosis is essential. However, tissue sampling is the preferred modality of diagnosis for cytology/histopathology owing to its ability to detect positive cases that might otherwise evade prompt detection.

show abstract

Diagnostic Value of Bronchoalveolar Lavage for Diagnosis of Suspected Peripheral Lung Cancer

Cited by 16 publications

References 22 publications

Classification of Malignancy in Suspicious Lesions Using Autofluorescence Bronchoscopy

Classification of Malignancy in Suspicious Lesions Using Autofluorescence Bronchoscopy

Evaluation zum möglichen Stellenwert der Bronchiallavagezytologie bei Erstdiagnose und Nachsorge des Lungenkarzinoms

The Utility of Intraoperative Microbiological, Cytological, and Histopathological Sampling in the Setting of an Empyema Necessitating Lung Decortication Surgery

Contact Info

Product

Resources

About