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Hee Kang 2 Articles
Post-percutaneous core needle biopsy sputum cytology: diagnostic value and factors for positive prediction in diagnosing malignancy
Sang Kyu Lee, Hee Kang, Min Jung Jung, Sekyoung Park, Ki Nam Lee
Kosin Med J. 2023;38(3):201-209.   Published online August 16, 2023
DOI: https://doi.org/10.7180/kmj.23.127
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Abstract PDFPubReader   ePub   
Background
This study evaluated the diagnostic yield and positive predictive factors of post-percutaneous core needle biopsy (PCNB) sputum cytology in diagnosing malignancy.
Methods
This retrospective study included patients who underwent PCNB at a single center from January 2014 to March 2022. Patient demographics, lung lesion characteristics on computed tomography, underlying lung disease, post-PCNB complications, histopathologic results of PCNB, post-PCNB sputum specimens, and final diagnoses were reviewed. The diagnostic yields and related factors were analyzed.
Results
Overall, 177 consecutive patients with sputum specimens obtained after PCNB for intrapulmonary lesions were enrolled. Among them, 152 patients had a final diagnosis of malignancy. Diagnostic sputum specimens with atypical or malignant cells were obtained in 12 patients. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of sputum cytology were 7.89%, 100%, 20.90%, 100%, and 15.15%, respectively. Lesion size, air-bronchogram, lesion multiplicity, and the cell type of squamous cell and adenocarcinoma differed significantly between the groups with diagnostic versus non-diagnostic sputum (p<0.05). The lesion size (odds ratio [OR], 1.035; 95% confidence interval [CI], 1.008–1.064; p=0.013), presence of air-bronchogram (OR, 23.485; 95% CI, 2.532–217.316; p=0.005), and squamous cell carcinoma (OR, 7.397; 95% CI, 1.773–30.865; p=0.006) were significantly associated with a diagnostic sputum specimen post-PCNB.
Conclusions
Although post-PCNB sputum cytology had low sensitivity in diagnosing lung cancer, it showed diagnostic results in some peripheral lung cancer patients who have squamous cell types, relatively large tumors, and air-bronchograms in the lesions.
Performance of Half-dose Chest Computed Tomography in Lung Malignancy Using an Iterative Reconstruction Technique
Hee Kang, Jung Gu Park, Se Kyoung Park, Beom Su Kim, Ki Nam Lee, Kyeung Seung Oh
Kosin Med J. 2017;32(1):47-57.   Published online June 30, 2017
DOI: https://doi.org/10.7180/kmj.2017.32.1.47
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Abstract PDFPubReader   ePub   
Objectives

The purpose of this study was to evaluate the performance of half-dose chest CT using an iterative reconstruction technique in patients with lung malignancies.

Methods

The Dual-source CT scans were obtained and half-dose datasets were reconstructed with 5 different strengths in 38 adults with lung malignancies. Two radiologists graded subjective image quality; noise, contrast and sharpness at the central/peripheral lung, mediastinum and chest wall of the reconstructed half-dose images, compared with those of standard-dose images, using a three-point scale. A lesion assessment; lesion conspicuity and diagnostic confidence, was also performed. The quantitative image noises; contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) were measured and compared with those of standard-dose images.

Results

The subjective image noise in the half-dose images was less than that of the standard-dose images. The contrast in strengths 2 to 5 was superior, the sharpness of the lung parenchyma in strengths 3 to 5 was inferior, and the CNR/SNR in all strengths were higher than those of standard-dose images (P < 0.05). The improvement of subjective image noise and contrast, the decrease in sharpness, were correlated with strength level (P < 0.05). The lesion conspicuity in half-dose images of strengths 4 and 5 was decreased. The diagnostic confidence of the half-dose images of all strengths was comparable to that of the standard-dose images (P < 0.05).

Conclusions

Half-dose chest CT images using an iterative reconstruction technique show decreased image noise, increased contrast, and diagnostic confidence comparable to standard-dose images. Images reconstructed with strength 2 and 3 appear to be the optimal choice in clinical practice.


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