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.

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.

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.

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 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.

Additional Diagnostic Value of Inversion Recovery Single-Shot Fast-Spin Echo Sequence in Differentiation Between Hepatic Hemangiomas and Cysts.

OBJECTIVE: The aim of this study was to evaluate the additional diagnostic value of "inversion recovery" single-shot fast-spin echo (IR-SSFSE) sequence using the inversion time at the null point for hepatic hemangiomas as a supplement to standard T2-weighted (T2W) magnetic resonance imaging for the distinction of hemangiomas and cysts. METHODS: A total of 228 lesions in 56 patients were evaluated in this retrospective study. In addition to routine hepatic magnetic resonance imaging, IR-SSFSE imaging using inversion time value of 600 milliseconds (null point for hepatic hemangiomas) was obtained. Two radiologists independently reviewed T2W images at first and T2W images plus IR-SSFSE sequence 4 weeks afterward and used a 5-point scale to indicate the possibility of detected hyperintense lesion is a cyst or a hemangioma. A receiver operating characteristic analysis and κ statistics were used to evaluate the diagnostic additive value of IR-SSFSE sequence for differentiation of hepatic hemangiomas and cysts, and to determine interobserver agreement, respectively. RESULTS: Among 228 lesions, diameters of which ranges from 2 to 125 mm (mean, 13.84 ± 16.24 mm), 56.14% of them (n = 128) were hemangiomas, and 43.86% of them were cysts (n = 100). In the receiver operating characteristic analysis for the differentiation of hepatic hemangiomas from cysts, the calculated area under the curve (AUC) for standard T2W images alone was 0.889 (95% confidence interval [CI], 0.825-0.953) for the first observer and 0.913 (95% CI, 0.861-0.965) for the second observer. When IR-SSFSE sequence was combined to T2W images, AUC was calculated as 0.958 (95% CI, 0.920-0.996) for the first observer and 0.980 (95% CI, 0.956-1.0) for the second observer. The AUC values obtained from standard T2W images and standard T2W plus IR-SSFSE images were significantly different for both observers (P < 0.01). Both observers demonstrate better performance in differentiating hemangiomas and cysts with a combination of IR-SSFSE sequence and T2W imaging than with T2W imaging alone. Adding IR-SSFSE sequence as a supplement to standard T2W images improved the sensitivity and the κ values. CONCLUSIONS: Inversion recovery single-shot fast-spin echo sequence using the inversion time to null signal from the hepatic hemangiomas as a supplement to standard T2W images is useful for distinguishing hemangiomas from hepatic cysts without the need for intravenous gadolinium chelate administration.

Infective endocarditis related to a coronary artery fistula with an unusual localization and ectatic coronary arteries.

Coronary artery fistulas (CAF) are a rare cardiac anomaly that can be either congenital or acquired. CAFs have clinical significance because of complications such as dyspnea on exertion, congestive heart failure, and cardiac tamponade. The literature also contains case reports of CAF presenting as bacterial endocarditis. We describe a 31-year-old man who presented with native valve infective endocarditis related to an unusual form of a CAF between the circumflex coronary artery and left ventricle. He also had giant coronary arteries, which were imaged with computed tomography angiography and transesophageal echocardiography. The diameter of the circumflex coronary artery and left main coronary artery was measured as 19 mm. Surgical intervention for heart valves was performed because of vegetations resistant to continued antibiotic treatment. At the same time, the CAF was treated with surgery.

Trifurcation of the Left Common Carotid Artery.

BACKGROUND: Trifurcation of the common carotid artery is an unusual variation. CASE REPORT: We report a case of left common carotid artery trifurcation in a 74-year-old man. The left common carotid artery divided into the internal carotid, external carotid and facial arteries. Herein, the anatomy of the carotid arteries and the Doppler sonography and CT angiography findings of the left common carotid artery trifurcation were described with images. CONCLUSIONS: The variations of the carotid arteries should be known to avoid and reduce the complications during the invasive procedures.

Left ventricular inferoapical diverticulum associated with normal coronary arteries.

Isolated congenital left ventricular (LV) diverticulum, which is characterized by the local failure of the ventricular muscle, is a rare cardiac abnormality with a reported prevalence of 0.4%. Clinically, it has been reported to follow an asymptomatic course in the majority of cases; however, it may cause heart failure, thrombus formation, arrhythmia, rupture or chest pain in some patients. Due to its asymptomatic course, it is difficult to diagnose an isolated LV diverticulum. Our patient was admitted to hospital with the complaint of typical chest pain and no any electrocardiogram ischemic changes. Transthoracic echocardiogram showed a diverticulum in the inferoapical wall. Coronary computed tomography angiography was performed, which revealed LV diverticulum at inferoapical region and normal coronary anatomy.

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.

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.

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.

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.

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.

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.