A patient with widespread skin lesions presenting with massive pleural effusion.

Mycosis fungoides is the most commonly seen type of cutaneous T-cell lymphoproliferative disease. While mycosis fungoides is linked to an increased risk of developing secondary malignancies, the occurrence of B-cell-originated disease in association with it is exceedingly rare. A 66-year-old male with persistent papillomatous skin eruption was admitted due to dyspnea. Chest X-ray, positron emission tomography, and chest computed tomography revealed axillary and mediastinal lymph node enlargement and right lower pulmonary lobe infiltration along with right-sided massive pleural effusion. Histological and immunohistochemical findings of pleural biopsy and axillary lymph nodes suggested a diagnosis of pulmonary extranodal marginal zone lymphoma. Skin biopsies from the abdomen, chest, and legs revealed CD4/CD8 double-positive patch stage of mycosis fungoides. After completing six cycles of chemotherapy, complete remission of lymphoma was achieved, with the skin eruptions remaining unchanged. Herein, the authors present a unique case of concomitant diagnoses of mycosis fungoides and marginal zone B-cell lymphoma of the respiratory system to emphasize the importance of careful evaluation of each finding.

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.

Differentiation of benign and malignant regions in paraffin embedded tissue blocks of pulmonary adenocarcinoma using micro CT scanning of paraffin tissue blocks: a pilot study for method validation.

PURPOSE: Micro computed tomography (micro-CT) can provide detailed information about the internal structure of materials. This study aimed to demonstrate the diagnostic value of micro-CT in formalin fixed paraffin embedded pulmonary adenocarcinomas by correlating the micro-CT findings of tumoral and non-tumoral areas with hematoxylin and eosin (HE) sections. METHODS: Paraffin blocks obtained from three adenocarcinomas were scanned with micro-CT. Ten regions of interest (ROIs) from adenocarcinoma and 11 ROIs from pulmonary parenchyma (ROI-C and ROI-N, respectively) areas were compared regarding the various structural parameters. RESULTS: All parameters were significantly different regarding the tumoral and non-tumoral ROIs. The percent object volume, structure thickness, structure linear density, connectivity and connectivity density were higher in ROI-Cs (p < 0.000, p < 0.000, p = 0.001, p < 0.000, and p < 0.000 respectively); whereas intersection surface and structure model index were higher in ROI-Ns (p < 0.000 and p < 0.000). The open porosity percentage was higher in ROI-Ns (68.86 + 2.96 vs 48.29 + 5.11, p < 0.000) and the closed porosity percentage was higher in ROI-Cs (2.29 + 0.55 vs 0.57 + 0.17 p < 0.000). CONCLUSIONS: The tumoral and non-tumoral areas in paraffin blocks can be distinguished from each other, using the quantitative and qualitative information obtained by micro-CT. Making this distinction with quantitative data obtained from micro-CT can therefore be the basis of creating artificial intelligence algorithms in the future.

Respiratory Dysfunction in Individuals With Thoracic Outlet Syndrome.

OBJECTIVE: The purpose of this study was to compare pulmonary function and respiratory muscle strength and endurance in individuals with thoracic outlet syndrome (TOS) and healthy participants. METHODS: Sixty-two individuals with TOS (mean age 30.81 ± 10.69 years; 10 male, 52 female) and 47 healthy individuals (mean age 30.64 ± 9.16 years; 14 male, 33 female) participated in this study. Pulmonary function testing was performed using a spirometer. Respiratory muscle strength (maximal inspiratory pressure [MIP] and maximal expiratory pressure [MEP]) were measured using a mouth pressure device. Respiratory muscle endurance was tested at 35% MIP and measured as the time in seconds from the start of the test to voluntary exhaustion. RESULTS: Age distribution and physical characteristics were similar between the groups (P > .05). All pulmonary function parameters except for peak expiratory flow rate were similar in patients with TOS and healthy controls (P > .05). Patients with TOS had significantly lower peak expiratory flow rate, MIP, MIP%, MEP, MEP%, and respiratory muscle endurance compared with controls (P < .05). Forty-six patients with TOS (74.2%) had MIP values below the lower limit of the 95% CI of the control group (97.05-113.88 cmH2O), and 53 patients with TOS (85.2%) had MEP values below the lower limit of the 95% CI of the control group (124.74-146.49 cmH2O). CONCLUSION: Expiratory flow rate and respiratory muscle strength and endurance may be adversely affected in TOS. Trunk muscles perform both postural and breathing functions. Therefore, disruption in one function may negatively affect the other.

Complete resections of giant thorax masses and experienced difficulties.

INTRODUCTION: Thoracic giant masses do not have a clear definition. In some publications, giant thoracic mass definition is used in tumors whose long axis is> 10 cm and in other publications covering more than 50% of the hemithorax. In this study, demographic data of patients with a massive resectable giant thoracic mass and the difficulties and experiences experienced in the peroperative process were reviewed with a general perspective. MATERIALS AND METHODS: 14 giant intrathoracic masses operated at the department of Thoracic Surgery, School of Medicine, Ankara University were included in the study. The masses occupying more than half of the hemithorax and mediastinal lesions with a long axis of 15 cm or larger radiologically were included and evaluated. RESULT: 9 (64.3%) of our patients were male and 9 (35.7%) were female. The average age was 49.2 ± 17.1(between18-68). The tumor localizations of our patients were determined as 9 (64.2%) hemithorax and 5 (35.8%) mediastinal. When the radiological and intraoperative dimensions were examined separately, it was observed that the mean of long axis of CT image is average 18 ± 3.8 cm (between 12 cm and 26 cm), and the mean of long axis of specimen is average 18.14 ± 3.6 cm (between 15 cm and 23 cm). The heaviest mass was average 844 ± 473 g (350 g-2204 g). CONCLUSIONS: The surgical maneuvers and hence the excision of giant masses become difficult to operate due to the narrow localization of the masses and the frequent invasions of adjacent vascular structures and nerve tissues. However, complete resection of these slowly growing and generally encapsulated masses can provide the cure.

Early stage thymoma and the surgical extent paradigm.

The recommended treatment for early stage thymoma without myasthenia gravis is complete thymectomy (CT). Limited thymectomy (LT) (simply resecting the thymoma with safe surgical margins) is gaining popularity. In this study, we compared the surgical and oncological results of complete and limited thymectomy in non-myasthenic patients with early stage thymoma. Non-myasthenic, Masaoka stage I-II, 86 patients who underwent surgical resection for thymoma were included in the study. Complete thymectomy (n:44) included patients who had resection of the thymoma together with the entire thymus and limited thymectomy (n:42) included patients who had resection of the thymoma without remaining thymus. The surgical approach, tumor size, histological type, pathological stage, adjuvant therapy, complications, postop myasthenia gravis, recurrence and death were recorded and compared between groups. Complete thymectomy group had more WHO type B1-3 tumors, more complications and more deaths than patients in the limited thymectomy group (p = 0.03, 0.018 and 0.023 respectively). Although statistically not significant CT group had more recurrences than LT group (11.4%/4.8%, p = 0.43). The 10-year freedom from recurrence (FFR) rate in the CT group was 84.8% and in the LT group it was 97.6%, the difference was not statistically significant (p = 0.15). None of the factors including surgical extent analysed with univariate and multivariate analysis had a significant effect on FFR. Limited thymectomy may be a good treatment option for non-myasthenic early stage thymoma patients but randomized controlled trials with long follow-up periods, ideally comparing patients operated with minimally invasive surgery are necessary.

Microcomputed tomography as a diagnostic tool for detection of lymph node metastasis in non-small cell lung cancer: A decision-support approach for pathological examination "A pilot study for method validation".

Background: Non-small cell lung cancer (NSCLC) patients without lymph node (LN) metastases (pN0) may exhibit different survival rates, even when their T stage is similar. This divergence could be attributed to the current pathology practice, wherein LNs are examined solely in two-dimensional (2D). Unfortunately, adhering to the protocols of 2D pathological examination does not ensure the exhaustive sampling of all excised LNs, thereby leaving room for undetected metastatic foci in the unexplored depths of tissues. The employment of micro-computed tomography (micro-CT) facilitates a three-dimensional (3D) evaluation of all LNs without compromising sample integrity. In our study, we utilized quantitative micro-CT parameters to appraise the metastatic status of formalin-fixed paraffin-embedded (FFPE) LNs. Methods: Micro-CT scans were conducted on 12 FFPEs obtained from 8 NSCLC patients with histologically confirmed mediastinal LN metastases. Simultaneously, whole-slide images from these FFPEs underwent scanning, and 47 regions of interest (ROIs) (17 metastatic foci, 11 normal lymphoid tissues, 10 adipose tissues, and 9 anthracofibrosis) were marked on scanned images. Quantitative structural variables obtained via micro-CT analysis from tumoral and non-tumoral ROIs, were analyzed. Result: Significant distinctions were observed in linear density, connectivity, connectivity density, and closed porosity between tumoral and non-tumoral ROIs, as indicated by kappa coefficients of 1, 0.90, 1, and 1, respectively. Receiver operating characteristic analysis substantiated the differentiation between tumoral and non-tumoral ROIs based on thickness, linear density, connectivity, connectivity density, and the percentage of closed porosity. Conclusions: Quantitative micro-CT parameters demonstrate the ability to distinguish between tumoral and non-tumoral regions of LNs in FFPEs. The discriminatory characteristics of these quantitative micro-CT parameters imply their potential usefulness in developing an artificial intelligence algorithm specifically designed for the 3D identification of LN metastases while preserving the FFPE tissue.

Oncological results in primary and secondary malignant chest wall tumors.

Background: This study aims to evaluate the oncological results of primary and secondary chest wall tumors treated with curative resections and to investigate possible prognostic factors. Methods: Between January 2010 and December 2021, a total of 77 patients (53 males, 24 females; median age: 59 years; range, 3 to 87 years) who underwent curative resection for malignant chest wall tumors were retrospectively analyzed. Each tumor was staged according to its histological type. Age, sex, tumor diameter, tumor type (primary/secondary), histological tumor type, grade, stage, complete resection, rib resection, reconstruction, neoadjuvant and adjuvant therapy, recurrence, and survival data were recorded. Results: Of the chest wall tumors, 33 (42.9%) were primary and 44 (57.1%) were secondary (local invasion, metastasis). Nine (11.7%) patients had positive surgical margins. Chest wall resection was most commonly performed due to lung cancer invasion (46.8%), followed by Ewing sarcoma (13%). Recurrence was observed in 34 (44.2%) patients. The five-year recurrence-free survival rate was 42.7% and the five-year overall survival rate was 58.6%. There was no significant difference between the primary and secondary tumors in terms of recurrence-free and overall survival (p=0.663 and p=0.313, respectively). In the multivariate analysis, tumor grade and rib resection were found to be independent prognostic factors for both recurrence-free survival (p=0.005 and p<0.001, respectively) and overall survival (p=0.048 and p=0.007, respectively). Conclusion: Successful oncological results can be achieved in wellselected patients with primary and secondary chest wall tumors. The grade of the tumor should be taken into account while determining the neoadjuvant or adjuvant treatment approach and surgical margin width. Rib resection should not be avoided when necessary.

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.

The Value of Micro-CT in the Diagnosis of Lung Carcinoma: A Radio-Histopathological Perspective.

Micro-computed tomography (micro-CT) is a relatively new imaging modality and the three-dimensional (3D) images obtained via micro-CT allow researchers to collect both quantitative and qualitative information on various types of samples. Micro-CT could potentially be used to examine human diseases and several studies have been published on this topic in the last decade. In this study, the potential uses of micro-CT in understanding and evaluating lung carcinoma and the relevant studies conducted on lung and other tumors are summarized. Currently, the resolution of benchtop laboratory micro-CT units has not reached the levels that can be obtained with light microscopy, and it is not possible to detect the histopathological features (e.g., tumor type, adenocarcinoma pattern, spread through air spaces) required for lung cancer management. However, its ability to provide 3D images in any plane of section, without disturbing the integrity of the specimen, suggests that it can be used as an auxiliary technique, especially in surgical margin examination, the evaluation of tumor invasion in the entire specimen, and calculation of primary and metastatic tumor volume. Along with future developments in micro-CT technology, it can be expected that the image resolution will gradually improve, the examination time will decrease, and the relevant software will be more user friendly. As a result of these developments, micro-CT may enter pathology laboratories as an auxiliary method in the pathological evaluation of lung tumors. However, the safety, performance, and cost effectiveness of micro-CT in the areas of possible clinical application should be investigated. If micro-CT passes all these tests, it may lead to the convergence of radiology and pathology applications performed independently in separate units today, and the birth of a new type of diagnostician who has equal knowledge of the histological and radiological features of tumors.

A Challenging Case of Ectopic ACTH Syndrome with Bronchial Carcinoid and Literature Review.

Here we report an adolescent boy diagnosed with ectopic ACTH (Adrenocorticotropin hormone) syndrome (EAS) caused by atypical bronchial carcinoid. The patient was evaluated multidisciplinaryly: he had surgery and took chemotherapy and radiotherapy treatments afterward. The patient is still under our follow-up. Until today eighteen pediatric and adolescent patients with EAS because of bronchial carcinoid tumors were reported in 13 case reports and literature reviews. Ectopic ACTH syndrome caused by bronchial carcinoids is very rare in children and adolescents. Careful diagnostic evaluation and rapid treatment should be started immediately. Although complete remission is possible in bronchial carcinoids, atypical carcinoids have a more aggressive nature. A multidisciplinary approach and follow-up will improve quality of life and survival.

Benign localized fibrous tumor of the pleura: report of 25 new cases.

OBJECTIVE: Benign localized fibrous tumors (BLFT) of the pleura are very rare slow-growing neoplasms that generally have a favorable prognosis. The aim of this manuscript is to evaluate the predictors of outcome with the review of the literature in a series of 25 patients with BLFT. METHODS: Between January 1985 and November 2009, 25 patients underwent an operation due to BLFT. Of these patients, 14 (56%) were male; mean age was 41.1 (25 to 64) years. All patients underwent thoracotomy. Left thoracotomy approach was used in 16 patients. The mass lesions were totally excised. The histopathological examinations were performed with hematoxylin-eosin and immunohistochemical staining methods. RESULTS: Of the patients, 18 (72%) were symptomatic. Symptoms were cough in 36%, shortness of breath in 32%, and chest pain in 20% of the patients. One patient (4%) appeared to have some symptoms (pain and swelling of the joints) associated with pulmonary osteoarthropathy. Seven patients (28%) underwent an operation due to mass lesion detected at routine control visits. None of the patients had a history of exposure to asbestos. Radiological investigations revealed 16 (64%) mass lesions in the left. Of the lesions found on exploration, 5 (20%) were intrapulmonary localized lesion without pedicle and 20 were pedicled. Of the pedicled masses, 5 were connected to parietal pleura and 15 to visceral pleura and all were intrathoracic extrapulmonary localized lesions. Eight (32%) lesions connected to left lower lobe. Additionally, three pedicled lesions were located in the lung fissure. Pedicled lesions were totally excised together with their pedicles. Intraparenchymal mass lesions were resected using wedge resection. The diameter of the resected masses was ranging between 3 and 22 cm (mean: 8.7). Macroscopically, all were encapsulated with a homogeneous cut surface. Intraoperative mortality and morbidity was not observed. The average hospitalization duration for all patients was 8.6 days (5 to 12). The mean follow-up was 33.6 (9 to 142) months with no recurrence. CONCLUSIONS: Benign localized fibrous tumors are uncommon and treated by surgical means. According to our data obtained from literature review, clinicians should be aware of recurrence possibility even after complete resection of benign localized fibrous tumor and the risk of malign transformation.

Operated pulmonary inflammatory myofibroblastic tumors: Our experience with 17 cases.

Background: In this study, we aimed to evaluate the clinicopathological features of pulmonary inflammatory myofibroblastic tumor cases operated in our clinic. Methods: A total of 17 inflammatory myofibroblastic tumor patients (5 males, 12 females; median age: 46 years) who were operated in our clinic between February 2000 and July 2019 were included. Data including sex, age, symptoms, accompanying diseases, tumor localization, tumor diameter, endobronchial extension, maximum standard uptake value of the tumors, surgery type, recurrence, and survival data were analyzed. Results: Two patients were diagnosed preoperatively and two patients were diagnosed during surgery using frozen-section method before resection. Three (17.7%) patients underwent pneumonectomy, five (29.4%) patients lobectomy, three (17.7%) patients segmentectomy, five (29.4%) patients wedge resection, and one (5.8%) patient bronchial sleeve resection. All patients had complete resection with negative margins. None of them had lymph node metastasis. Median follow-up was 122 (range, 8 to 245 months) months. None of the patients received adjuvant therapy, there was no tumor recurrence or tumor-related death. Conclusion: It is difficult to make a preoperative diagnosis of inflammatory myofibroblastic tumor patients. Systematic lymph node dissection is not required in diagnosed patients. Complete resection is the most important prognostic factor, and it is critical to achieve this with the smallest resection possible.

Combined clinical and specific positron emission tomography/computed tomography-based radiomic features and machine-learning model in prediction of thymoma risk groups.

OBJECTIVES: In this single-center study, we aimed to propose a machine-learning model and assess its ability with clinical data to classify low- and high-risk thymoma on fluorine-18 (18F) fluorodeoxyglucose (FDG) (18F-FDG) PET/computed tomography (CT) images. METHODS: Twenty-seven patients (14 male, 13 female; mean age: 49.6 ± 10.2 years) who underwent PET/CT to evaluate the suspected anterior mediastinal mass and histopathologically diagnosed with thymoma were included. On 18F-FDG PET/CT images, the anterior mediastinal tumor was segmented. Standardized uptake value (SUV)max, SUVmean, SUVpeak, MTV and total lesion glycolysis of primary mediastinal lesions were calculated. For texture analysis first, second, and higher-order texture features were calculated. Clinical information includes gender, age, myasthenia gravis status; serum levels of lactate dehydrogenase (LDH), alkaline phosphatase, C-reactive protein, hemoglobin, white blood cell, lymphocyte and platelet counts were included in the analysis. RESULTS: Histopathologic examination was consistent with low risk and high-risk thymoma in 15 cases and 12 cases, respectively. The age and myasthenic syndrome were statistically significant in both groups (P = 0.039 and P = 0.05, respectively). The serum LDH level was also statistically significant in both groups (450.86 ± 487.07 vs. 204.82 ± 59.04; P < 0.001). The highest AUC has been achieved with MLP Classifier (ANN) machine learning method, with a range of 0.830 then the other learning classifiers. Three features were identified to differentiate low- and high-risk thymoma for the machine learning, namely; myasthenia gravis, LDH, SHAPE_Sphericity [only for 3D ROI (nz>1)]. CONCLUSIONS: This small dataset study has proposed a machine-learning model by MLP Classifier (ANN) analysis on 18F-FDG PET/CT images, which can predict low risk and high-risk thymoma. This study also demonstrated that the combination of clinical data and specific PET/CT-based radiomic features with image variables can predict thymoma risk groups. However, these results should be supported by studies with larger dataset.

Comparison of outcomes between neoadjuvant treatment followed by surgery and surgical treatment alone in patients with locally advanced esophageal cancer: Our single-center experience.

Background: This study aims to investigate the effect of neoadjuvant therapy on overall survival and recurrence-free survival in locally advanced esophageal cancer patients. Methods: Between January 2010 and December 2019, a total of 143 patients (84 males, 59 females; mean age: 58.8±11.5 years; range, 26 to 87 years) operated for esophageal cancer were retrospectively analyzed. A comparison was made between the groups of 42 patients who underwent direct surgery and 42 patients who underwent surgery after neoadjuvant therapy. The patients were selected by matching one to one with propensity score with a sensitivty of 0.054. Results: Pathological complete response was observed in 21 (50%) of 42 patients who received neoadjuvant therapy. No progression was detected in any of the patients. While the five-year overall survival rate was 58.3% in patients with a pathologic complete response, this rate was 52.8% in patients without a complete response (p=0.709). The five-year overall survival rate was 8% (median 22.3 months) in patients who did not receive neoadjuvant therapy and it was 52.9% (median 62.5 months) in those who received neoadjuvant therapy (p<0.001). The five-year recurrence-free survival rate for patients who did not receive neoadjuvant therapy was 26.2% (median 14.5 months), whereas this rate was 41.3% (median 35 months) for patients who received neoadjuvant therapy (p=0.025). Conclusion: In patients with locally advanced esophageal cancer, the overall survival and disease-free survival rates are significantly better with surgical treatment after neoadjuvant chemotherapy/ neoadjuvant chemoradiotherapy compared to surgery alone.

[Pulmonary arteriovenous malformation: two sibling cases]. / Pulmoner arteriyovenöz malformasyon: Iki kardes olgu.

Pulmonary arteriovenous malformations, are abnormal connections between pulmonary arteries and veins. However it can be presented as an isolated single anomaly, also may be multiple when accompanying with autosomal dominant hereditary hemorrhagic telengiectasia (Rendu-Osler-Weber Syndrome; ROWS). In this case report, two patients operated with the diagnosis of multiple pulmonary arteriovenous malformation familial screening done with the possibility of ROWS and pulmonary arteriovenous malformation found in her sister, are presented.

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.

A rare giant sarcoma of the chest wall: Undifferentiated pleomorphic sarcoma.

Undifferentiated pleomorphic sarcoma or, as formerly called, malignant fibrous histiocytoma is a type of sarcoma which originates from fibroblast and histiocytic cells. It is the most common type of sarcoma among all soft tissue sarcomas in adults. Its most common site is the lower limb, followed by the upper limb and the retroperitoneum. It is rarely encountered on chest wall. In the differential diagnosis of masses on chest wall, it is important to consider undifferentiated pleomorphic sarcoma in surgical planning. In this article, we report a male case with a giant undifferentiated pleomorphic sarcoma located above the right scapula.

The prognostic value of 18F-fluorodeoxyglucose positron emission tomography/ computed tomography parameters in patients with malignant pleural mesothelioma.

BACKGROUND: In this study, we aimed to investigate the prognostic value of metabolic 18F-fluorodeoxyglucose positron emission tomography/computed tomography parameters in malignant pleural mesothelioma patients. METHODS: A total of 65 patients with malignant pleural mesothelioma (34 males, 31 females; median age: 60 years; range, 39 to 84 years) who underwent whole-body 18F-fluorodeoxyglucose positron emission tomography/computed tomography for staging before treatment between March 2008 and January 2018 were included. Relationships between clinicopathological factors and 18F-fluorodeoxyglucose positron emission tomography/computed tomography parameters and overall survival were evaluated using a log-rank test and Cox regression analysis. RESULTS: The median follow-up was 13 (range, 4 to 55) months. The Kaplan-Meier analysis revealed a mean survival time of 17±2.6 months. The cumulative two- and five-year survival rates were 34.8% and 7.8%, respectively. Univariate analysis showed that ≥60 age, left hemithorax involvement, a maximum standardized uptake value of ≥9.8, c-T4 status, c-M1 status, and non-surgery were negatively associated with overall survival (p<0.05). Multivariate analysis showed that ≥60 age, left hemithorax involvement, a maximum standardized uptake value of ≥9.8, c-M1 status, and a total lesion glycolysis of ≥180.2 g were negatively associated with overall survival (p<0.05). CONCLUSION: Metabolic parameters of 18F-fluorodeoxyglucose positron emission tomography/computed tomography have the potential to provide prognostic information for malignant pleural mesothelioma patients who are receiving surgery and/or chemotherapy.

Bronchoscopic electrocautery therapy of a solitary endobronchial extramedullary plasmacytoma.

Extramedullary plasmacytomas are rare tumors. In majority of cases tumors arise in the head and neck region and endobronchial localization is extremely rare. The treatment is usually resection alone or combination of surgery with radiotherapy. Herein we present a case of solitary endobronchial plasmacytoma which was resected with bronchoscopic electrocautery, because of extremely rare occurrence of solitary endobronchial plasmacytoma and also the successful outcome of bronchoscopic electrocautery therapy.