Comparison of Brock University, Mayo Clinic and Herder models for pretest probability of cancer in solid pulmonary nodules.

OBJECTIVE: Risk analysis models, which are used in the diagnostic algorithm of incidental pulmonary nodules, are based on patient data from developed countries. Mayo Clinic, Brock University and Herder are among the most known models. We aim to compare the reliability of these models in patients with indeterminate solid nodules and to investigate the contribution of the predictors used to the model. METHODS: We analysed 305 patients who performed transthoracic needle biopsy and positron emission tomography/computed tomography for solid nodules, retrospectively. For all three models, the malignancy risk probabilities of patients were calculated, and patients were classified as low (<5%), moderate (60%) and high (<60%) risk groups. Later, the malignancy rates of each model in three different risk groups were compared within each other and among the models. RESULTS: The malignancy rate is 73% in 305 patients. In the Mayo Clinic and Herder models, the difference in the low-, medium- and high-risk groups is significant (p < 0.001). In the medium-risk group, the rate of malignancy is 96.8% in the Brock model. In the high-risk group, the rate of malignancy in Herder is 88.3% and the rate of malignancy in Mayo Clinic is 28.8%. The optimal cutoff values for the Mayo Clinic, Brock University, and Herder were 29.6, 13.4 and 70 (AUC, respectively; 0.71, 0.67 and 0.73). Age, smoking, gender, size, emphysema and spiculation increase the likelihood of malignancy. CONCLUSION: Close results were obtained in all three models. In the high-risk group, the Herder model has the highest reliability rate (odds ratio 3.3, confidence interval [1.1, 10.2]). Upper lobe predilection is not a reliable predictor.

Comparison of typical and atypical computed tomography patterns regarding reversibility and fibrosis in pulmonary sarcoidosis.

PURPOSE: This study aims to investigate whether there is a significant difference between typical and atypical parenchymal patterns in the development of fibrosis, which is the most crucial factor affecting morbidity in pulmonary sarcoidosis. METHODS: In our hospital, 145 cases with Siltzbach Types 2 and 3 sarcoidoses diagnosed by clinical, radiological, and histopathologic were retrospectively investigated. Perilymphatic nodules, accompanying mosaic attenuation, and interlobular septal thickening and central peribronchovascular bunch-like thickening on high-resolution computed tomography were assessed as typical. Solid nodules, galaxy finding, consolidation, ground-glass opacity, isolated mosaic attenuation, and interlobular septal thickening, and pleural fluid were accepted as atypical findings. Findings indicating fibrosis were fine and rough reticular opacity, traction bronchiectasis, volume loss, and cystic changes. For the analysis of variables, SPSS 25.0 program was used. RESULTS: Ten (16%) of the 61 cases with typical findings and 16 (19%) of the 84 with atypical findings developed fibrosis (P = 0.827). The mean age of cases with fibrosis was higher. With the cut-off of 50 years, sensitivity was 61.5%, and specificity was 68.9%. The highest fibrosis rate was in cases with ground glass pattern (n = 7/17), whereas higher reversibility rates were in those with miliary pattern (n = 9/12) and galaxy sign (n = 5/6). CONCLUSION: The incidence of fibrosis is higher in the atypical group with no significant difference. The incidence of fibrosis differs in each atypical pattern, being highest in ground-glass opacity and lowest in the miliary pattern.

Diagnostic success of transthoracic needle biopsy and PET-CT for 1 to 2 cm solid indeterminate pulmonary nodules.

OBJECTIVES: Among the nodule types, the most controversial group are indeterminate solid nodules from 1 to 2 cm in size with the first choice being transthoracic needle biopsy (TTNB) or positron emission tomography (PET-CT) or both methods together. However, no single diagnostic algorithm could be applied to all cases. This research discusses the diagnostic success of PET-CT and TTNB. MATERIALS AND METHODS: 407 Patients who referred to our hospital for any reason, with solid nodules with the size from 1 to 2 cmincidentally identified on the thoracic CT tests were investigated. Among the patients who underwent biopsy, 312 cases had PET-CT, and maximum SUV (SUVmax) values of the nodules were examined. Values of ≥2.5 were accepted as hypermetabolic. RESULTS: The mean age of the patients was 61 ± 10.8 years. 84 patients were female (20.6%) and 323 were male (79.4%). For TTNB; sensitivity, specificity and accuracy rates of all cases, who were correctly diagnosed, were 76.9%, 83.3% and 78.9%, respectively (P < .001). The 2.5 SUVmax cutoff value had sensitivity of 91%, specificity of 35.6%, accuracy of 75% (P = .034). The cutoff value of 49 years of age, nodule size of 16.4 mm, gender and 2.5 SUVmax value had high accuracy for benign-malignant differentiation. No statistically significant difference was found in the upper lobe localization of nodule. CONCLUSION: A positive result from TTNB is a reliable finding; however, a negative result is not definitive. The high negative predictive value of PET-CT is effective in preventing the unnecessary biopsies and surgical procedures.