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  1. Kho SS, Nyanti LE, Chai CS, Kho SK, Ismail AM, Voon PJ, et al.
    Respir Investig, 2023 Jul;61(4):473-477.
    PMID: 37182371 DOI: 10.1016/j.resinv.2023.04.003
    Peripheral transbronchial needle aspiration (pTBNA) allows the access of pulmonary nodules without bronchus sign but is limited to cytological examination. A 39-year-old man with left parotid carcinoma presented with an incidental lung nodule. Target localisation was performed with manual airway mapping, virtual bronchoscopic navigation, and pTBNA. Direct target validation using radial endobronchial ultrasound (rEBUS) was performed through the puncture defect. Targeted pinpoint biopsy with a 1.1 mm cryoprobe through the pTBNA puncture defect confirmed metastatic adenoid cystic carcinoma. Guided pTBNA with rEBUS validation followed by cryobiopsy of lung nodules without bronchus sign is potentially feasible for histological and molecular analyses.
    Matched MeSH terms: Bronchi/pathology
  2. Ngen RMY, Cheong I, Yahaya O
    Med J Malaysia, 1985 Jun;40(2):98-100.
    PMID: 3834293
    405 cases of bronchial brushing cytology were evaluated for its effectiveness in detecting pulmonary carcinoma. Cytohistologic findings were correlated whenever endoscopic biopsies were performed. Sputum cytological investigations were also included in this paper to examine the total diagnostic sensitivity of all the three methods combined.
    Matched MeSH terms: Bronchi/pathology*
  3. Fauzi AR, Balakrishnan L, Rathor MY
    Med J Malaysia, 2003 Dec;58(5):729-34.
    PMID: 15190660
    A retrospective review of all bronchoscopy cases for investigation of lung cancer between January 1997 and December 1999 was done. The cases were included if endobronchial mass was visible (Group A) or when there was an abnormal mucosa and/or bronchial narrowing in the absence of a mass (Group B). All patients in Group A (n = 177) underwent endobronchial biopsy (EB) bronchial brushings (BB) and bronchial washings (BW). All cases in Group B underwent transbronchial biopsy (TBB), BB and BW. Only a small increase in the positive results for cancer was seen when cytology specimens (BB and BW) were added to EB (85.3% vs 88.1%, McNemar's P = 0.06) in Group A but there was a significant increase in Group B (37.3% vs 54.2%. McNemar's, P = 0.001). Therefore although cytology specimens did not significantly add to overall yield of positive results when endobronchial lesions were visible, when mass lesions were not visible, cytology specimens increased the yield by 16.9%.
    Study site: Chest clinic, Hospital Sultanah Aminah (HSA), Johor Bahru, Johor, Malaysia
    Matched MeSH terms: Bronchi/pathology*
  4. Abbasian Ardakani A, Acharya UR, Habibollahi S, Mohammadi A
    Eur Radiol, 2021 Jan;31(1):121-130.
    PMID: 32740817 DOI: 10.1007/s00330-020-07087-y
    OBJECTIVES: CT findings of COVID-19 look similar to other atypical and viral (non-COVID-19) pneumonia diseases. This study proposes a clinical computer-aided diagnosis (CAD) system using CT features to automatically discriminate COVID-19 from non-COVID-19 pneumonia patients.

    METHODS: Overall, 612 patients (306 COVID-19 and 306 non-COVID-19 pneumonia) were recruited. Twenty radiological features were extracted from CT images to evaluate the pattern, location, and distribution of lesions of patients in both groups. All significant CT features were fed in five classifiers namely decision tree, K-nearest neighbor, naïve Bayes, support vector machine, and ensemble to evaluate the best performing CAD system in classifying COVID-19 and non-COVID-19 cases.

    RESULTS: Location and distribution pattern of involvement, number of the lesion, ground-glass opacity (GGO) and crazy-paving, consolidation, reticular, bronchial wall thickening, nodule, air bronchogram, cavity, pleural effusion, pleural thickening, and lymphadenopathy are the significant features to classify COVID-19 from non-COVID-19 groups. Our proposed CAD system obtained the sensitivity, specificity, and accuracy of 0.965, 93.54%, 90.32%, and 91.94%, respectively, using ensemble (COVIDiag) classifier.

    CONCLUSIONS: This study proposed a COVIDiag model obtained promising results using CT radiological routine features. It can be considered an adjunct tool by the radiologists during the current COVID-19 pandemic to make an accurate diagnosis.

    KEY POINTS: • Location and distribution of involvement, number of lesions, GGO and crazy-paving, consolidation, reticular, bronchial wall thickening, nodule, air bronchogram, cavity, pleural effusion, pleural thickening, and lymphadenopathy are the significant features between COVID-19 from non-COVID-19 groups. • The proposed CAD system, COVIDiag, could diagnose COVID-19 pneumonia cases with an AUC of 0.965 (sensitivity = 93.54%; specificity = 90.32%; and accuracy = 91.94%). • The AUC, sensitivity, specificity, and accuracy obtained by radiologist diagnosis are 0.879, 87.10%, 88.71%, and 87.90%, respectively.

    Matched MeSH terms: Bronchi/pathology
  5. Yahaya B, Baker A, Tennant P, Smith SH, Shaw DJ, McLachlan G, et al.
    Exp. Lung Res., 2011 Nov;37(9):519-35.
    PMID: 21895444 DOI: 10.3109/01902148.2011.605513
    Understanding the fundamental processes involved in repairing the airway wall following injury is fundamental to understanding the way in which these processes are perturbed during disease pathology. Indeed complex diseases such as asthma and chronic obstructive pulmonary disease (COPD) have at their core evidence of airway wall remodeling processes that play a crucial functional role in these diseases. The authors sought to understand the dynamic cellular events that occur during bronchial airway epithelial repair in sheep. The injury was induced by endobronchial brush biopsy (BBr), a process that causes epithelial débridement and induces a consequential repair process. In addition, the current experimental protocol allowed for the time-dependent changes in airway wall morphology to be studied both within and between animals. The initial débridement was followed by evidence of dedifferentiation in the intact epithelium at the wound margins, followed by proliferation of cells both within the epithelium and in the deeper wall structures, notably in association with the submucosal glands and smooth muscle bundles. Seven days after injury, although the airway wall was thickened at the site of damage, the epithelial layer was intact, with evidence of redifferentiation. These studies, in demonstrating broad agreement with previous studies in small animals, indicate the wider relevance of this system as a comparative model and should provide a solid basis upon which to further characterize the critical cellular and molecular interactions that underlie both effective restitution and pathological repair.
    Matched MeSH terms: Bronchi/pathology
  6. Hooi LN
    Med J Malaysia, 2005 Jun;60(2):222-5.
    PMID: 16114165
    Bronchiolitis obliterans organising peumonia BOO) is an uncommon inflammatory lung condition involving the terminal bronchioles and alveoli, which is responsive to treatment with corticosteroids. Patients usually present with dyspnoea, cough and fever. Two cases are described here; both had haemoptysis and were initially treated as community acquired pneumonia. Diagnosis was made on lung biopsy and there was rapid resolution after a course of prednisolone.
    Matched MeSH terms: Bronchi/pathology
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