Rheumatoid Arthritis-Related Lung Disease and Its Association With Mortality.

PURPOSE: The aim of this study was to determine the association of rheumatoid arthritis-related lung disease (RA-LD) and its subtypes with all-cause mortality. MATERIALS AND METHODS: For the present analyses, patients with RA who underwent computed tomography of the chest (chest-CT) were evaluated. RA-LD was defined in 4 subtypes as follows: interstitial lung disease (RA-ILD), airway disease (RA-AD), rheumatoid pulmonary nodules (RA-PN), and RA-related pleural disease (RA-PD). The date of RA-LD diagnosis was considered the date of the first chest-CT detecting the pathology. To assess the factors associated with mortality, multivariable logistic regression analyses were performed with variables selected based on their causal associations with the outcome. RESULTS: Of 576 RA patients, 253 (43.9%) had RA-LD (38.7% male; mean age at RA-LD diagnosis, 59.9 ± 9.8 years). The most common subtype was RA-AD, which was detected in 119 (47.0%) patients followed by 107 (42.3%) with RA-ILD, 70 (27.7%) with RA-PN, and 31 (12.3%) with RA-PD. Sixty-one (24.1%) patients had 2+ subtypes. After median follow-up of 10.2 years, 97 (16.8%) died. The existence of at least 1 subtype and 2+ subtypes increased the all-cause mortality, as indicated by odds ratios of 1.60 (95% confidence interval [CI], 1.03-2.48) and 2.39 (95% CI, 1.26-4.54), respectively. Among RA-LD patients, RA-ILD and RA-PD were associated with increased mortality (odds ratios were 2.20 [95% CI, 1.18-4.08] and 1.62 [95% CI, 0.70-3.75], respectively). CONCLUSIONS: In this study, RA-AD was the most common subtype, and the presence of RA-LD increased mortality. This effect was particularly pronounced in patients with RA-ILD and RA-PD or those presenting with 2+ subtypes.

Can the generalizability issue of artificial intelligence be overcome? Pneumothorax detection algorithm.

The generalizability of artificial intelligence (AI) models is a major issue in the field of AI applications. Therefore, we aimed to overcome the generalizability problem of an AI model developed for a particular center for pneumothorax detection using a small dataset for external validation. Chest radiographs of patients diagnosed with pneumothorax (n = 648) and those without pneumothorax (n = 650) who visited the Ankara University Faculty of Medicine (AUFM; center 1) were obtained. A deep learning-based pneumothorax detection algorithm (PDA-Alpha) was developed using the AUFM dataset. For implementation at the Health Sciences University (HSU; center 2), PDA-Beta was developed through external validation of PDA-Alpha using 50 radiographs with pneumothorax obtained from HSU. Both PDA algorithms were assessed using the HSU test dataset (n = 200) containing 50 pneumothorax and 150 non-pneumothorax radiographs. We compared the results generated by the algorithms with those of physicians to demonstrate the reliability of the results. The areas under the curve for PDA-Alpha and PDA-Beta were 0.993 (95% confidence interval (CI): 0.985-1.000) and 0.986 (95% CI: 0.962-1.000), respectively. Both algorithms successfully detected the presence of pneumothorax on 49/50 radiographs; however, PDA-Alpha had seven false-positive predictions, whereas PDA-Beta had one. The positive predictive value increased from 0.525 to 0.886 after external validation (p = 0.041). The physicians' sensitivity and specificity for detecting pneumothorax were 0.585 and 0.988, respectively. The performance scores of the algorithms were increased with a small dataset; however, further studies are required to determine the optimal amount of external validation data to fully address the generalizability issue.

Recovery from Respiratory Failure in Patients with Coronavirus Disease 2019.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) can cause hypoxic respiratory failure; long-term oxygen therapy (LTOT) duration is unknown. MATERIAL AND METHODS: The aim was to investigate which patients would need LTOT after COVID-19 pneumonia. This single-center, prospective study was conducted at the Ankara University Faculty of Medicine, Department of Chest Diseases, between May 2021 and December 2021. The 70 patients hospitalized for COVID-19 pneumonia and discharged with LTOT due to hypoxemic respiratory failure were included. Patients were divided into 2 groups as group I (LTOT requirement <3 months) and group II (LTOT requirement continued ≥3 months). RESULTS: The mean age was 64.4 ± 13.5 years, and 44 (62.9%) of them were male. The most frequently encountered comorbidities were cardiovascular disease (57.1%) and lung disease (22.9%). While PaO2 levels increased in both groups during the follow-up period, this increment was significantly higher in group I (PaO2: 66.6 ± 9.9 mm Hg, P < .001). The factors affecting the LTOT requirement were evaluated using binary logistic regression. On multivariate analyses of lymphocytes, ferritin, C-reactive protein, PaO2, SaO2, subpleural reticulation, and number of lobes affected (≥3 lobes), the SaO2 level and presence of subpleural reticulation were significantly different between the 2 groups [odds ratio (OR) (95% CI): 0.853 (0.749-0.971), P = .016] and [OR (95% CI): 0.171 (0.042-0.733), P = .017], respectively. CONCLUSION: A significant proportion of patients who develop respiratory failure due to COVID-19 recover within the first 3 months. Factors determining the LTOT requirement for more than 3 months were SaO2 and the presence of subpleural reticulation.

Evaluation of abdominal computed tomography findings in patients with COVID-19: a multicenter study

PURPOSE: To evaluate the frequency of abdominal computed tomography (CT) findings in patients with coronavirus disease-2019 (COVID-19) and interrogate the relationship between abdominal CT findings and patient demographic features, clinical findings, and laboratory test results as well as the CT atherosclerosis score in the abdominal aorta. METHODS: This study was designed as a multicenter retrospective study. The abdominal CT findings of 1.181 patients with positive abdominal symptoms from 26 tertiary medical centers with a positive polymerase chain-reaction test for severe acute respiratory syndrome coronavirus 2 were reviewed. The frequency of ischemic and non-ischemic CT findings as well as the association between CT findings, clinical features, and abdominal aortic calcific atherosclerosis score (AA-CAS) were recorded. RESULTS: Ischemic and non-ischemic abdominal CT findings were detected in 240 (20.3%) and 328 (27.7%) patients, respectively. In 147 patients (12.4%), intra-abdominal malignancy was present. The most frequent ischemic abdominal CT findings were bowel wall thickening (n = 120; 10.2%) and perivascular infiltration (n = 40; 3.4%). As for non-ischemic findings, colitis (n = 91; 7.7%) and small bowel inflammation (n = 73; 6.2%) constituted the most frequent disease processes. The duration of hospital stay was found to be higher in patients with abdominal CT findings than in patients without any positive findings (13.8 ± 13 vs. 10.4 ± 12.8 days, P < 0.001). The frequency of abdominal CT findings was significantly higher in patients who did not survive the infection than in patients who were discharged after recovery (41.7% vs. 27.4%, P < 0.001). Increased AA-CAS was found to be associated with a higher risk of ischemic conditions in abdominal CT examinations. CONCLUSION: Abdominal symptoms in patients with COVID-19 are usually associated with positive CT findings. The presence of ischemic findings on CT correlates with poor COVID-19 outcomes. A high AA-CAS is associated with abdominal ischemic findings in patients with COVID-19.

Determining Subclinical Cardiovascular and Cardiac Diseases in Patients with Non-Alcoholic Fatty Liver Disease.

BACKGROUND: The aims of the present study were to determine the subclinical coronary atherosclerosis and myocardial dysfunction in patients with non-alcoholic fatty liver disease, who were asymptomatic for cardiac disease. METHODS: A total of 61 non-alcoholic fatty liver disease patients were enrolled in the study. The 10-year probability of cardiovascular events was evaluated according to the pooled cohort equation risk score (atherosclerotic cardiovascular disease). The coronary artery calcium score was measured. Conventional echocardiographic examination was followed by 2- and 3-dimensional speckle tracking echocardiography. RESULTS: Patients with non-alcoholic steatohepatitis had significantly higher insulin resistance (P = .018), serum alanine aminotransferase (P = .002) and aspartate aminotransferase levels (P = .021), hepatic steatosis (P = .023), and fibrosis (P = .001) than non-alcoholic fatty liver disease patients. The mean Atherosclerotic Cardiovascular Disease score was 7.5% ± 6.9% and 37% of the patients had medium and high cardiovascular disease risk. Cardiovascular disease (>1) was found in 30% of the patients. Interestingly, 56% had significant and extended atherosclerotic plaques. Among the patients with moderate-to-high atherosclerotic cardiovascular disease scores, 63% had significant atherosclerotic plaques and 21% had extensive plaque burden. The presence of non-alcoholic steatohepatitis did not significantly affect cardiovascular risk. Non-alcoholic steatohepatitis was deleterious on left ventricle diastolic functions. Mean A velocity in non-alcoholic steatohepatitis patients was significantly increased compared to non-alcoholic fatty liver disease patients (87.0 ± 17.5 cm/s vs. 72.3 ± 13.6 cm/s, P = .002). Mean E/e' ratio was 8.1 ± 2.0. Submyocardial fibrosis detected had a slightly higher occurrence in non-alcoholic steatohepatitis patients than in non-alcoholic fatty liver disease patients (P = .530). CONCLUSION: The presence of non-alcoholic steatohepatitis did not significantly increase the risk of cardiovascular disease and subclinical myocardial dysfunction in asymptomatic patients for cardiac disease compared to non-alcoholic fatty liver disease patients.

Multifocal concomitant scapulothoracic and subgluteal-ischiofemoral elastofibromas.

PURPOSE: To evaluate the frequency, imaging findings, and patient demographics of synchronous elastofibroma dorsi (ED) and pelvic elastofibromas. METHODS: Image archives between 2011 and 2021 were retrospectively searched for CT and MRI reports including the keyword "elastofibroma". Patients with concomitant CT and/or MRI of the chest and pelvic regions were included. The greatest thickness and side of ED were noted. Subsequently, pelvic soft tissues were evaluated for a soft tissue mass with similar radiological features to ED. When detected, its location, greatest transverse diameter, and ischiofemoral space widths were noted. Wilcoxon matched-pairs signed-rank and Mann-Whitney U-tests were performed when appropriate. Pearson's correlations were used to assess the association of presence of subgluteal-ischiofemoral elastofibromas (SGIFE) and ED thickness. The model discrimination of ED thickness was evaluated by calculating the AUC of the ROC. RESULTS: Eighty-eight patients (Male:Female = 8:80) with a mean age of 70.6 (±10.3) years were included. 96.6 % of patients had bilateral ED. 18.2 % of patients (all females) had at least one concomitant SGIFE. Patients with SGIFE had significantly thicker ED (p < 0.001 right; p = 0.049 left). There was a significant positive correlation between the thickness of ED and presence of SGIFE (r = 0.43, p < 0.001 right; r = 0.25, p = 0.019 left). An AUC of 0.781 (p < 0.001, 95 %-CI:0.675-0.887) and 0.659 (p = 0.049, 95 %-CI:0.523-0.794) were revealed regarding the presence of ipsilateral right and left SGIFE, respectively. CONCLUSION: Concomitant SGIFE may accompany ED in up to 18.2% of cases, particularly in women with thick ED. Knowledge of this co-occurrence and the described SGIFE characteristics can facilitate correct diagnosis.

Effects of delayed breast reconstruction on the thoracolumbar vertebrae in patients undergoing unilateral mastectomy: A retrospective cohort study.

BACKGROUND: Post-mastectomy changes vertebral column alignment. There is limited data assessing spine curvature after breast reconstruction. In this study, the effects of delayed breast reconstruction on the Cobb angle and quality of life indicator (Oswestry disability index [ODI]) were evaluated in patients undergoing unilateral mastectomy. METHODS: This study was performed as a retrospective review of 40 patients who had delayed reconstruction for breast cancer at a single center between 2015 and 2018. Patients completed a standardized questionnaire, the ODI, at the beginning and 12 months after the operation. The Cobb angles of the vertebral columns and spinal curve directions were determined using posteroanterior chest radiographs obtained pre- and postoperatively. RESULTS: Mean age and body mass index (BMI) were 49.9 ± 9 years and 30.1 kg/m2, respectively. The Cobb angles were found to differ before and after the reconstruction; the difference was statistically significant, and the average change in Cobb angle was 4.3° (p = 0.03). The Cobb angles were also found to be significantly different between patients with implants and those who underwent autologous tissue reconstruction (p = 0.026). Although delayed reconstruction performed with autologous tissue or implant improves post-mastectomy scoliosis, autologous tissue reconstruction yields better outcomes. The mean preoperative ODI score was 21.6%, and 8.8% patients presented no back pain. The mean score was 3.2% at 12 months postoperation. These results are statistically significant (p<0.001). CONCLUSIONS: Breast reconstruction positively affects vertebral alignment and leads to better posture, physical function and decreased back pain in breast cancer survivors, significantly improving their quality of life.

Biphasic split-bolus injection protocol for routine contrast-enhanced chest CT: comparison with conventional early-phase single bolus technique.

OBJECTIVES: To present a routine contrast-enhanced chest CT protocol with a split-bolus injection technique achieving combined early- and delayed phase images with a single aquisition, and to compare this technique with a conventional early-phase single-bolus chest CT protocol we formerly used at our institution, in terms of attenuation of great thoracic vessels, pleura, included hepatic and portal venous enhancement, contrast-related artifacts, and image quality. METHODS: A total of 202 patients, who underwent routine contrast-enhanced chest CT examination aquired with either conventional early-phase single-bolus technique (group A,n = 102) or biphasic split-bolus protocol (group B,n = 100), were retrospectively included. Attenuation measurements were made by two radiologists independently on mediastinal window settings using a circular ROI at the following sites: main pulmonary artery (PA) at its bifurcation level, thoracal aorta (TA) at the level of MPA bifurcation,portal vein (PV) at porta hepatis, left and right hepatic lobe, and if present, thickened pleura (>2 mm) at the level with the most intense enhancement. Respective normalized enhancement values were also calculated. Contrast-related artifacts were graded and qualitative evaluation of mediastinal lymph nodes was performed by both reviewers independently. Background noise was measured and contrast-to-noise ratios (CNRs) of the liver and TA were calculated. RESULTS: While enhancement of thoracic vessels and normalised MPA enhancement did not differ significantly between both groups (p > 0.05), enhancement and normalised enhancement of pleura, liver parenchyma and PV was significantly greater in group B (p < 0.001). Perivenous artifacts limiting evaluation were less frequent in group B than in A and mediastinal lymph nodes were judged to be evaluated worse in group A than in group B with an excellent agreement between both observers. No significant difference was detected in CNRTA (p = 0.633), whereas CNR liver was higher in group B (p < 0.001). CONCLUSION: Our split-bolus chest CT injection protocol enables simultaneous enhancement for both vascular structures and soft tissues, and thus, might raise diagnostic confidence without the need of multiple acquisitions. ADVANCES IN KNOWLEDGE: We think that this CT protocol might also be a promising alternative in lung cancer staging, where combined contrast-enhanced CT of the chest and abdomen is indicated. We therefore suggest to further evaluate its diagnostic utility in this setting, in particular in comparison with a late delayed chest-upper abdominal CT imaging protocol.

Rituximab experience from a single centre for patients with rheumatoid arthritis-related interstitial lung disease.

Objective: To demonstrate the effects of rituximab (RTX) in patients with rheumatoid arthritis-related interstitial lung disease (RA-ILD). Methods: A total of 165 patients who used RTX for the management of rheumatoid arthritis were retrospectively scrutinised. Among these, 26 patients diagnosed with RA-ILD were analysed (61.5% male, mean age at RTX infusion 61.4 ± 6.5 years). To evaluate the efficacy of RTX on lung response, patients with pulmonary function test results and/or thorax computed tomography (chest-CT) of pre- and post-RTX were compared. Disease progression was defined as either a decline of ≥10% in forced vital capacity (FVC) and/or a decline of ≥15% in diffusion capacity of carbon monoxide (DLCO), or an increase of parenchymal involvement on chest-CT images according to the radiologists' assessment. Results: Among 26 patients, the most common radiologic pattern was usual interstitial pneumonia (42.3%), followed by non-specific interstitial pneumonia (38.5%). Data for lung response was available in 20 patients. Median pre- and post- RTX DLCO values were 71.0% (60.0-77.0) and 63.0% (47.0-74.0), respectively (p= 0.06). Median pre- and post-RTX FVC values were 74.0% (61.0-99.0) and 84.0% (63.0-100.0), respectively (p= 0.28). Overall, stabilization or regression of RA-ILD was provided in 13 (65.0%) patients, whereas 7 patients had progressive RA-ILD. Post-RTX, 5 patients were diagnosed with RA-ILD. Conclusion: Our results suggest that RTX is effective in achieving stabilization or even improvement of RA-ILD. However, considering that it does not cause regression in every patient and some develop RA-ILD under RTX, we still need more effective treatment options.

A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification.

OBJECTIVES: To compare the diagnostic performance of a newly developed artificial intelligence (AI) algorithm derived from the fusion of convolution neural networks (CNN) versus human observers in the estimation of malignancy risk in pulmonary nodules. METHODS: The study population consists of 158 nodules from 158 patients. All nodules (81 benign and 77 malignant) were determined to be malignant or benign by a radiologist based on pathologic assessment and/or follow-up imaging. Two radiologists and an AI platform analyzed the nodules based on the Lung-RADS classification. The two observers also noted the size, location, and morphologic features of the nodules. An intraclass correlation coefficient was calculated for both observers and the AI; ROC curve analysis was performed to determine diagnostic performances. RESULTS: Nodule size, presence of spiculation, and presence of fat were significantly different between the malignant and benign nodules (p < 0.001, for all three). Eighteen (11.3%) nodules were not detected and analyzed by the AI. Observer 1, observer 2, and the AI had an AUC of 0.917 ± 0.023, 0.870 ± 0.033, and 0.790 ± 0.037 in the ROC analysis of malignity probability, respectively. The observers were in almost perfect agreement for localization, nodule size, and lung-RADS classification [κ (95% CI)=0.984 (0.961-1.000), 0.978 (0.970-0.984), and 0.924 (0.878-0.970), respectively]. CONCLUSION: The performance of the fusion AI algorithm in estimating the risk of malignancy was slightly lower than the performance of the observers. Fusion AI algorithms might be applied in an assisting role, especially for inexperienced radiologists. ADVANCES IN KNOWLEDGE: In this study, we proposed a fusion model using four state-of-art object detectors for lung nodule detection and discrimination. The use of fusion of deep learning neural networks might be used in a supportive role for radiologists when interpreting lung nodule discrimination.

CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: "Impact of surgical modality choice".

INTRODUCTION: Radiomics methods are used to analyze various medical images, including computed tomography (CT), magnetic resonance, and positron emission tomography to provide information regarding the diagnosis, patient outcome, tumor phenotype, and the gene-protein signatures of various diseases. In low-risk group, complete surgical resection is typically sufficient, whereas in high-risk thymoma, adjuvant therapy is usually required. Therefore, it is important to distinguish between both. This study evaluated the CT radiomics features of thymomas to discriminate between low- and high-risk thymoma groups. MATERIALS AND METHODS: In total, 83 patients with thymoma were included in this study between 2004 and 2019. We used the Radcloud platform (Huiying Medical Technology Co., Ltd.) to manage the imaging and clinical data and perform the radiomics statistical analysis. The training and validation datasets were separated by a random method with a ratio of 2:8 and 502 random seeds. The histopathological diagnosis was noted from the pathology report. RESULTS: Four machine-learning radiomics features were identified to differentiate a low-risk thymoma group from a high-risk thymoma group. The radiomics feature names were Energy, Zone Entropy, Long Run Low Gray Level Emphasis, and Large Dependence Low Gray Level Emphasis. CONCLUSIONS: The results demonstrated that a machine-learning model and a multilayer perceptron classifier analysis can be used on CT images to predict low- and high-risk thymomas. This combination could be a useful preoperative method to determine the surgical approach for thymoma.

Prognostic implications of visceral obesity on gastric adenocarcinoma: does it really matter?

PURPOSE: To evaluate the association of visceral adiposity measured on computed tomography (CT) in preoperative period with lymph node (LN) metastasis and overall survival in gastric adenocarcinoma patients. METHODS: Preoperative CT scans of 246 gastric adenocarcinoma patients who did not receive neoadjuvant chemoradiotherapy were evaluated. Visceral fat area (VFA), subcutaneous fat area (SFA) and Total fat area (TFA), VFA/TFA ratio were quantified by CT. VFA/TFA > 29% was defined as visceral obesity. The differentiation, t-stage, n-stage and the number of harvested-metastatic LNs were noted. The maximum thickness of tumor and localization were recorded from CT. Chi-square, Student's t-test, multiple Cox regression, Spearman's correlation coefficient, and Kaplan-Meier algorithm were performed. RESULTS: The overall survival (OS) rates and N-stage were not different significantly between viscerally obese and non-obese group (p = 0.994, p = 0.325). The number of metastatic LNs were weakly inversely correlated with VFA (r = -0.144, p = 0.024). Univariate analysis revealed no significant association between visceral obesity and OS or LN metastasis (p = 0.377, p = 0.736). In multivariate analyses, OS was significantly associated with poorly differentiation (HR = 1.72, 95% CI =1.04-2.84, p = 0.035), higher pathologic T and N stage (T4 vs T1 + T2 HR = 2.67, 95% CI =1.18-6.04, p = 0.019; T3 vs T1 + T2 HR = 1.98, 95% CI = 0.90-4.33, p = 0.089; N3b vs N0 HR = 2.97, 95% CI1.45-6.0, p = 0.003; N3 (3a+ 3b) vs N0 HR = 2.24 95% CI =1.15-4.36, p = 0.018). CONCLUSION: Visceral obesity may not be a prognostic factor in resectable gastric adenocarcinoma patients.

Clinical characteristics of pulmonary artery involvement in patients with Behçet's syndrome: single-centre experience of 61 patients.

OBJECTIVE: To report the clinical characteristics of pulmonary artery involvement (PAI) in patients with Behçet's syndrome (BS) and to define the predictors of relapses. METHODS: We performed retrospective analysis of BS patients with PAI who fulfilled international study group criteria. Among 460 patients with vascular Behçet's syndrome (VBS), 66 were diagnosed with PAI. For final analyses, 61 patients with PAI were included who had at least 2 follow-up visits (72.1% male, mean age at BS diagnosis 29.34 ± 10.1 years). The patient data were recorded. Relapse was defined as the reoccurrence of vascular event in any vascular structure. Factors associated with relapse were assessed by logistic regression analysis. RESULTS: There were no differences considering demographic and clinical features of the patients with and without PAI in the VBS group, except that intracardiac thrombosis was more common in the patients with PAI (19.7% vs 0.3%). Among 61 patients, 50 (82.0%) had isolated pulmonary artery thrombosis (PAT), whereas 11 (18.0%) had pulmonary artery aneurysm with or without PAT. Twenty-four (39.3%) patients experienced vascular relapse during median follow-up of 65.9 (Q1-Q3: 20.1-109.0) months. To define the factors associated with relapses, patients with isolated PAT were analysed. On multivariable logistic regression analysis, older age at BS diagnosis and anticoagulation usage seemed to be protective (OR: 0.92, 95% CI 0.86-1.02, OR: 0.34, 95% CI 0.09-1.33, respectively). CONCLUSION: Our results indicate a higher frequency of intracardiac thrombosis in BS patients with PAI and possible efficacy of anticoagulation usage in preventing relapses. Key Points • This study shows that intracardiac and intracranial thromboses are seen more frequently in patients with PAI and the prevalence of pulmonary artery thrombosis has been increasing in the case of PAI. Furthermore, our report indicates that anticoagulation might be effective in preventing further vascular relapses.

Is it possible to predict the side of hepatic metastases according to the primary location of colorectal cancer?

PURPOSE: The aim of this study was to investigate the impact of the primary location of colorectal adenocarcinoma on the lobar distribution of its hepatic metastases based on the streamline hypothesis. MATERIAL AND METHODS: The hospital database was utilised to identify the colorectal cancer patients. Eighty-six patients diagnosed with colorectal adenocarcinoma, who had hepatic metastases on the initial diagnostic stage or on the follow-up investigations, were enrolled the study. Computed tomography (CT) images of the study population were reviewed for the primary location of the colorectal tumour, and the side and number of hepatic metastases. RESULTS: A total of 481 metastases were counted on CT from 22 right-sided and 64 left-sided colon tumours. The ratio of right-to-left hemiliver involvement was 1.97 : 1 for whole study population. The right-to-left ratio was calculated as 1.55 : 1 for right colon tumours and 2.17 : 1 for left colon tumours (p = 0.106). In the subgroup analysis with unilobar metastatic patients, again there was no significant difference in terms of the colorectal tumours' primary location (p = 0.325). CONCLUSIONS: The lobar distribution of hepatic metastases from colorectal adenocarcinoma may not be associated with the primary tumour localisation.

The Impact of Arterial Phase on the Detection of Cervical Lymph Node Metastasis From Papillary Thyroid Carcinoma: A Quantitative Evaluation on Multiphasic Computed Tomography.

OBJECTIVE: The purpose of this study was to assess the diagnostic performance of multiphasic computed tomography (CT) in the discrimination of metastatic lymph nodes (LNs) of papillary thyroid cancer by using quantitative parameters. METHODS: This study enrolled 272 pathologically proven metastatic and benign LNs. Multiphasic CT was utilized by using nonenhanced, arterial (25-second delay), and venous (80-second delay) phases. Mean tissue attenuation values (MAVs) of metastatic and benign LNs were measured, and normalized MAV (common carotid artery and paraspinal muscle) and wash-in and wash-out percentages were also calculated. RESULTS: The arterial phase showed the highest diagnostic performance in differentiation (area under the curve ± standard error, 0.97 ± 0.02; 95% confidence interval, 0.94-1.0; P < 0.001). Cutoff values for MAVs, normalized MAVs, and wash-in and wash-out percentages to predict metastatic LNs were calculated as 109 HU, 0.33, 1.93, 122.5, and -5.6 (sensitivity: 93.4%, 93.3%, 90.4%, 94.1%, and 97.8%, and specificity: 99.3%, 90.4%, 98.5%, 92.6%, and 99.3%, respectively). CONCLUSIONS: Early-phase enhanced CT and the use of quantitative parameters derived from multiphasic CT improve the detection of cervical lymph node metastasis from papillary thyroid cancer.

The relation of CT quantified pancreatic fat index with visceral adiposity and hepatic steatosis.

OBJECTIVES: The purpose of this study was to investigate the relation between pancreatic steatosis and visceral adiposity. Furthermore, the study sought to explore the association between pancreatic steatosis, pancreas volume, hepatic steatosis, age, and sex in adults without prior history of pancreatic disease. The research also served to define a cut-off value of visceral fat tissue area (VFA) predicting fatty pancreas. MATERIAL AND METHODS: CT scans of 98 living-liver donor transplant patients without prior history of pancreatic disease were evaluated for the presence of fatty pancreas. Pancreas volume, VFA, subcutaneous-total FA, VFA/TFA ratios of the patients with and without fatty pancreas were quantified with a semi-automated model on CT. Coexistence of hepatic steatosis was also recorded. RESULTS: VFA, TFA and VFA/TFA were significantly greater in the fatty group (p<0.001, p<0.001, p<0.001; respectively), and pancreatic steatosis was moderately correlated with VFA, VFA/TFA and TFA with the highest correlation coefficient with VFA (r=-0.715, r=-0.605, r=-0.573, respectively; p<0.001 for all). A cut-off value of VFA ≥ 107.2 cm2 estimates pancreatic steatosis with a sensitivity and specificity of 90% (95% CI=77-96%) and 87.9% (95% CI=77%-94%), respectively. Pancreas volume was higher in the fatty-group with a mean value of 86.5±17.3 mL (range; 58-119.2 mL, p=0.097). In multiple logistic regression analyses, pancreatic steatosis was significantly associated with VFA and the male sex (OR=58.2, 95% CI=12.2-277.1, p<0.001; OR=11.4, 95% CI=2.1-63.4, p<0.001; respectively). 77.5% of the fatty pancreas subjects had co-existing hepatic steatosis. CONCLUSION: Pancreatic steatosis is related to higher VFA, VFA/TFA and hepatic steatosis. A cut-off value of VFA ≥ 107.2 cm2 may predict pancreatic steatosis.

Successful treatment of COVID-19 infection in a patient with tracheostomy.

Coronavirus disease 2019 (COVID-19) has been demonstrated to be the cause of emerging atypical pneumonia. In patients with tracheostomy, coronavirus hypothetically coexists with well-known bacterial agents. A 61-year-old male patient with tracheostomy was admitted to the hospital with dyspnea, fever and increased tracheal secretions. Laboratory findings revealed lymphopenia and elevated C-reactive protein and procalcitonin levels. Chest computed tomography showed consolidation areas and ground-glass opacities more prominent in subpleural areas. Although; two consecutive RT-PCR analyses of combined nasopharengeal/oropharengeal swabs were found to be negative for SARS-CoV-2 RNA, positivity was reported for endotracheal aspirate (ETA) sample. Significant growth of Pseudomonas aeruginosa and Stenotrophomonas maltophilia was detected in the bacterial culture of ETA sample. In conclusion, clinical samples for SARS-CoV-2 should be obtained through the lower respiratory tract, if possible and if upper airway samples are negative. To the best our knowledge, our paper is the first report of the patient with tracheostomy who was treated successfully for COVID-19.

Is There a Correlation with Pre-donation Kidney Volume and Renal Function in the Renal Transplant Recipient?: A Volumetric Computed Tomography Study.

PURPOSE: The aim of this study is to determine the correlation between the predonation computed tomography (CT)-based calculated kidney volume and post-transplant renal function in recipients of renal transplants and to compare two different CT techniques. MATERIAL AND METHODS: The study group is comprised of 55 paired living kidney donor-recipients transplants. The total parenchymal renal volumes were calculated by using two CT-based techniques (3-dimensional renal volume [3DRV] and voxel-based volume calculation). Post-transplant creatinine and estimated glomerular filtration rate (eGFR) levels for the recipients at hospital discharge and sixth month were obtained. We tested the association with eGFR and creatinine by adjusting the renal volume to body weight and body mass index. For the creatinine levels above 1.5 mg/dL at discharge, a threshold value for renal volume-to-weight ratio on receiver operating characteristic curve (ROC) analysis and odds ratio (OR) were calculated. RESULTS: The renal volumes adjusted to weight were found to be moderately correlated with eGFR and creatinine levels at discharge (r = 0.51 and r = -0.54 for voxel-based calculation; r = 0.52 and r = -0.52 for 3DRV calculation, P < .001, respectively) and at sixth month (r = 0.55 and r = -0.58 for voxel-based calculation; r = 0.51 and r = -0.54 for 3DRV calculation, P < .001 respectively). A threshold value of 1.84 mL/kg was calculated for parenchymal volume-to-recipient weight ratio on ROC analysis (AUC±SE, 0.760 ± 0.078, P = .008). The likelihood of creatinine elevation above 1.5 mg/dL was found to be nine times greater for smaller renal volume-to-recipient weight ratios (OR = 9.6; 95% CI, 1.8-50.6) CONCLUSIONS: Predonation renal volume adjusted to recipient weight may estimate the renal function at discharge and 6 months after transplantation.

Physical Effects of Unilateral Mastectomy on Spine Deformity.

OBJECTIVE: Mastectomy is known to effect body posture after a change in the center of gravity of women due to a missing breast. Although previous studies on short-term postural changes in mastectomy patients using photogrammetry or Moiré topography suggested ipsilateral inclination of the trunk, our clinical observations during breast reconstruction surgeries indicated a contralateral shoulder elevation in women with unilateral mastectomy. Because the change in body posture can affect spinal alignment, we aimed to evaluate the long-term physical effects of unilateral mastectomy on spine deformity by radiographic examination. METHODS: Posteroanterior chest radiographs of 60 women (mean age 56.3 ± 8.5 years) taken before and 12 months after the mastectomy were evaluated for Cobb angle and the presence or absence of a tilt from the midline in the coronal plane of vertebral body alignment. RESULTS: Cobb angle decreased in 14 and increased in 38 of 60 patients after unilateral mastectomy, and the angular change was found to be independent of the mastectomy side (P < .001). A shift in Cobb angle to the mastectomy side was observed in 11 of 53 patients (P > .05), whereas a statistically significant shift in Cobb angle to the opposite of the mastectomy side was observed in 33 of 53 patients (P < .001). The results of this observational retrospective study indicated long-term spinal deformation in women with unilateral mastectomy. Two patients with idiopathic scoliosis before mastectomy even developed scoliosis. CONCLUSION: We recommend informing the patients of the possible change in body posture in the long term, which should be supported or limited with physical therapy.