Benign Type Research Articles

Salivary gland organoid culture maintains distinct glandular properties of murine and human major salivary glands

Salivary glands that produce and secrete saliva, which is essential for lubrication, digestion, immunity, and oral homeostasis, consist of diverse cells. The long-term maintenance of diverse salivary gland cells in organoids remains problematic. Here, we establish long-term murine and human salivary gland organoid cultures. Murine and human salivary gland organoids express gland-specific genes and proteins of acinar, myoepithelial, and duct cells, and exhibit gland functions when stimulated with neurotransmitters. Furthermore, human salivary gland organoids are established from isolated basal or luminal cells, retaining their characteristics. Single-cell RNA sequencing also indicates that human salivary gland organoids contain heterogeneous cell types and replicate glandular diversity. Our protocol also enables the generation of tumoroid cultures from benign and malignant salivary gland tumor types, in which tumor-specific gene signatures are well-conserved. In this study, we provide an experimental platform for the exploration of precision medicine in the era of tissue regeneration and anticancer treatment.

Complications Of Suppurative Otitis Media Still Occur In The 21st Century

Chronic suppurative otitis media is chronic inflammation affected the middle ear and divided in 2 types benign and malignant type, Where the complication most aggressive with the malignant type. This study is aretrospective chart review for files of patients with suppurative otitis media complicated with one or more of the cranial and or intra-cranial complications of CSOM and attended to Assiut University Hospital (AUH) for management of their diseases during the 10 years from 1- 1-2005 to 31-12-2014. The patients were grouped into 3 groups: Group I: - with Cranial complications. Group II: - with Intra-cranial complications. Group III: - with mixed complications. The aim of study was to Identification of cases with different cranial and intra-cranial complications of suppurative otitis media that presented to AUH from 1-1-2005 to 31-12-2014, analyzing the factors surrounding these patients with complications, and Identification of the ways of management done.

Osteopetrosis: A rare case

Osteopetrosis is a rare inherited metabolic bone disease characterized by failure of osteoclasts to resorb bone leading to impairment of bone modeling and remodeling. The defect in bone turnover results in skeletal fragility despite increased bone mass, hematopoietic insufficiency, disturbed tooth eruption, nerve entrapment syndromes, and growth failure. It has two major clinical forms: an autosomal dominant benign type or an autosomal recessive malignant type. The recessive form is usually fatal whereas the dominant type is more compatible with life. A rare autosomal recessive (intermediate form) is more prevalent and has less severe presentation. A 12-year-old boy presented with short stature, bilateral progressive vision loss, and backache. X-ray of nondominant hand for bone age estimation showed bone in bone formation. Followed which skeletal survey was done which showed characteristic radiological findings suggestive of osteopetrosis. Osteopetrosis is a rare disease transmitted by autosomal dominant or recessive inheritance having variable penetrance. We report here intermediate form of osteopetrosis. Although the genetic test is used to differentiate between the subtypes, diagnosis is mainly radiological.

Age Distribution of 4526 Surgically Excised Specimens of Eye Tumors by Histopathological Examination in China.

Cumulative evidence suggests that the risk of eye tumors varies among different age groups and populations. The purpose of the present study was to assess the age distribution of eye tumors in China. In this retrospective study, the age distribution of various types of eye tumors was analyzed on surgically excised and histologically confirmed specimens obtained from 4492 patients (4526 eyes), collected between 2001 and 2017. Of the 4526 specimens, 3156 eyes (69.7%) had benign eye tumors, while 1370 eyes (30.3%) had malignant tumors. The age-specific incidence of eye tumors was characterized by a bimodal distribution, one peak occurred at age 0-9 years (19.7%) and the other at 50-59 years (14.7%) of age. Malignant eyelid tumors were very rare under the age of 20 years, but increased to 78% of all eyelid tumors by the age of 70 years. Children aged 0-9 years old were 6.5 times as likely to have a malignant eye tumor (95% CI, 4.1-10.4) as those aged 10-19 years. The age-related variation of eye tumors was also observed in the top ten categories of both benign (p < 0.001) and malignant types (p = 0.001). These results showed that age is a major factor determining the type of eye tumor, confirmed by histopathological analysis.

Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application

Although many efforts have been made through past years, skin cancer recognition from medical images is still an active area of research aiming at more accurate results. Many efforts have been made in recent years based on deep learning neural networks. Only a few, however, are based on a single deep learning model and targeted to create a mobile application. Contributing to both efforts, first we present a summary of the required medical knowledge on skin cancer, followed by an extensive summary of the most recent related works. Afterwards, we present 11 CNN (convolutional neural network) candidate single architectures. We train and test those 11 CNN architectures, using the HAM10000 dataset, concerning seven skin lesion classes. To face the imbalance problem and the high similarity between images of some skin lesions, we apply data augmentation (during training), transfer learning and fine-tuning. From the 11 CNN architecture configurations, DenseNet169 produced the best results. It achieved an accuracy of 92.25%, a recall (sensitivity) of 93.59% and an F1-score of 93.27%, which outperforms existing state-of-the-art efforts. We used a light version of DenseNet169 in constructing a mobile android application, which was mapped as a two-class model (benign or malignant). A picture is taken via the mobile device camera, and after manual cropping, it is classified into benign or malignant type. The application can also inform the user about the allowed sun exposition time based on the current UV radiation degree, the phototype of the user’s skin and the degree of the used sunscreen. In conclusion, we achieved state-of-the-art results in skin cancer recognition based on a single, relatively light deep learning model, which we also used in a mobile application.

Management for Warthin Tumor of the Parotid Gland: Surgery or Observation. A 21-Year Retrospective Study of 387 Cases.

This study investigated the characteristics, diagnosis, and treatment of Warthin tumors (WTs) to explore the possibility of managing patients by observation. We reviewed the records of 1167 patients with benign parotid tumors who were seen in our department between September 1999 and April 2021. Among them, 387 cases were WT and 668 cases were pleomorphic adenoma. We evaluated preoperative diagnoses of WT by symptoms/signs, fine-needle aspiration cytology (FNAC), imaging, such as ultrasonography and magnetic resonance imaging, and technetium-99m pertechnetate (Tc-99m) scintigraphy. Fisher's exact test and the Mann-Whitney U test were used in statistical analyses. Warthin tumors were treated by surgery in 238 cases and follow-up in 149 cases. The 238 patients were diagnosed as WT at the final pathology after surgery. Among them, 172 patients (72.3%) were determined as benign histological type by preoperative FNAC; in these 172 patients, 170 (71.4%) were correctly diagnosed as WT in the final pathology. Preoperative Tc-99m scintigraphy was performed in 69 patients diagnosed with WT by final pathology or FNAC, and the positive rate of Tc-99m scintigraphy in WT was 75.4%. Combining FNAC and Tc-99m scintigraphy, as well as considering clinical findings, enables the diagnosis of WT in most cases. In particular, WT is more common in the elderly, grows more slowly, and is less likely to be malignant. Therefore, if WT can be diagnosed preoperatively with a high rate of correct diagnosis, it could be an accurate and effective means of managing patients through follow-up without surgery.

Atypical Fibroxanthoma Resected without Auricular Deformity in an Elderly Patient: A Case Study.

Atypical fibroxanthoma (AFX) is a dermal spindle-cell cutaneous malignancy, which is a relatively benign type of skin cancer that occurs in the elderly with sun-damaged skin. This is a case study of a rapidly enlarged left auricular mass lesion in an elderly patient who was diagnosed with AFX based on histopathological and immunohistochemical findings, and then treated by complete excision to prevent recurrence or metastasis. There was no recurrence during the 1-year follow-up. For otolaryngologists or plastic surgeons, recognizing the clinical and pathologic characteristics of AFX is important for accurate diagnosis and treatment.

Role of 68Ga-DOTATOC PET/CT in Insulinoma According to 3 Different Contexts: A Retrospective Study.

The aim of this study was to assess the performance of 68Ga-DOTATOC PET/CT in the detection and extension of insulinomas according to 3 different contexts: sporadic benign, sporadic metastatic, and multiple endocrine neoplasia type 1 (MEN1). The data of 71 adult patients who underwent 68Ga-DOTATOC PET/CT for suspected or confirmed sporadic insulinoma, suspicion of insulinoma in the context of MEN1, follow-up of metastatic insulinoma, or suspicion of recurrence of insulinoma were retrospectively analyzed. Pathological examination or strong clinical and biological findings were used as standards of truth. For the assessment of a confirmed sporadic insulinoma in 17 patients, the sensitivity of SR-PET was 75%, including 2 patients for whom metastatic lesions had been revealed by SR-PET. For 35 patients with a suspicion of insulinoma, the sensitivity was 39%. In 10 patients followed up for metastatic insulinoma, the sensitivity was 100%. For 5 patients with a history of MEN1, interpretation of SR-PET was difficult, as 3 of them presented with multiple pancreatic uptake foci. The global sensitivity of SR-PET in all insulinomas excluding those with a MEN1 story was 64% (100% for metastatic insulinomas, 62% for benign insulinomas), with a specificity of 89%. 68Ga-DOTATOC PET/CT is a useful examination tool for the assessment of insulinomas in selected contexts, with very high performance for the detection and extension workup of metastatic insulinomas and high specificity for the detection of sporadic benign insulinomas. The examination should be completed with GLP-1 receptor PET when it is negative or in a MEN1 context.

Radiological features of round pneumonia in children: 10 years of experience

Aim: Round pneumonia (RP) is a type of pneumonia that appears round on imaging studies and usually occurs in children. Although round pneumonia is a well-known clinical condition, few publications available in the literature describing the imaging findings and features of round pneumonia. The purpose of the review was to evaluate the chest radiographs, chest ultrasonography and CT findings associated findings of round pneumonia as compared to the published literature.&#x0D; Material and Method: 65 children who were diagnosed with round pneumonia in our hospital between December 2010 and July 2020 were included in our study. Initial chest radiographs and CT scans were evaluated for lesion parameters: number, margin, opacity, size, location, and hilar LAP and air bronchogram accompaniment. Follow-up chest radiographs were evaluated for temporal variation (resolution or progression to lobar pneumonia). The findings of the patients who underwent chest ultrasonography were recorded.&#x0D; Results: The mean age of the 65 children with round pneumonia included was 6.2 years and their ages ranged from 9 months to 16 years. Evaluation of chest radiographs showed one lesion in each of 63 children (96%, 63/65) and two lesions in two children (4%, 2/65). Lesion margins were sharp in 84% (55/65) and the mean diameter of lesions was 2,5 cm with a range of 1.5–9.5 cm. On the radiograph, the opacity of round pneumonia was low (60%, 39/65) and hilar lymphadenopathy was detected in 1 out of 5 patients (20%, 13/65). The location of the lesion tended to be posterior (51%, 33/65) and upper lobe (54%, 35/65). On chest ultrasonography, consalidation was seen in 8 patients, consalidation and pleural effusion were seen in 3 patients. CT images were available in 11 (17%) children. Pleural thickening or satellite lesions were not observed in any of the patients on tomography. Follow-up radiographs tended to show resolution in 95% (62/65) and progression to lobar pneumonia in 4.6% (3/65). 1 patient progressed to lobar pneumonia and died. 2 patients developed cavitary pneumonia.&#x0D; Conclusion: Round pneumonia is a benign type of pneumonia that is mostly seen in children due to its physiopathology. Most patients with RP recover clinically and radiologically after antibiotic therapy. Although there are many diseases in the differential diagnosis, knowing the radiological features facilitates the diagnosis and prevents unnecessary diagnostic and imaging studies.

Pattern of Thyroid Cancer and its Associated Factors among Thyroid Patients Underwent Thyroidectomy at Jimma Medical Center, Southwest Ethiopia; A Four Years Retrospective Review

Background: Thyroid cancer is the most common malignant disease of endocrine system and its incidence is rapidly increasing globally (about three to four times higher among females and accounts the sixth most common malignancy diagnosed in women). Among the four major types of thyroid cancer, papillary thyroid cancer (PTC) accounts 85-90% from all thyroid cases, followed by follicular thyroid cancer (FTC) which accounts for 5-10% of cases. Objective: The present study aimed to assess the pathologic patterns of thyroid disease at Jimma medical center (JMC). Materials and Methods: A retrospective data of 260 patients who underwent thyroid surgery from 2015 to 2019 were included in the study and the status of the disease (clinical manifestations, laboratory/pathology findings (thyroid function tests (TFTs) and biopsy) were reviewed from patient cards. The pattern of thyroid cancer was discriminated based on histo-pathological biopsy results. Descriptive and analytical statistics were applied to express the finding and reported by tables, figures and narration. Cross tabulation and logistic regression was applied to determine the association between thyroid CA and its predictors. A p-value of &lt;0.05 was declared as statistically significant. Results: From the total sample of 260 patients underwent thyroid surgery, majority of them were females 219(84.2%), belong to age interval of 31-40 years (34.6%), dwellers of Oromia region (91.2%) and Jimma zone (83.8%). Colloid goiter was the most prevalent pattern of thyroid disease (74.6%) followed by follicular CA (4.2%), papillary CA (1.9%) and medullary CA (0.77%) while biopsy results of 48(18.46%) patients were not known. In general, about 194(91.5%) of the thyroid lesion was identified as benign type and malignancy accounts for 18(8.5%) from the total conducted biopsy results of 212 patients. Five variables (marital status, family history of the disease, nodularity, surface and border of the thyroid mass) were the predictors of thyroid malignancy in univariate and finally, two variables (thyroid tissue with surface (rough) and border (irregular)) were identified as the predictors of thyroid malignancy in multivariate [1.9(95%CI; 1.17 to 5.8) P=0.012 and 2.5(95%CI; 1.13 to 16.16) P&lt;0.001] respectively. Conclusion and Recommendation: The burden of malignancy was higher and alarming among thyroid diseases and warrants early screening and management.

Primary minor salivary gland tumors: A retrospective review of cases seen in a tertiary institution in South East Nigeria.

Tumors of the minor salivary glands (MSGs) are rare. They constitute a wide range of histologic types despite their low frequency. The aim of this study is to evaluate the clinical and pathological features of 11 different tumors of MSGs presented at the University of Nigeria Teaching Hospital Ituku-Ozalla, Enugu and to compare them with similar studies done elsewhere. This is a retrospective study of patients with tumors involving the MSGs seen at the OMFS and ORL clinics, UNTH. Information regarding demographic characteristics, duration at first presentation, types of tumors, site and side affected, and treatment given were recorded in patients' medical records. Data were analyzed using SPSS version 23; qualitative variables were compared using Chi-square test. One hundred and thirty three cases of various lesions involving the salivary gland were seen within the study period. Fifty three (39.8%) patients met the inclusion criteria and are reported further. Twenty eight (28) cases occurred in males. The mean age of the patients was 39.8 years STD 16.5, while the mean duration of the swellings at presentation was 45.5 months STD 35.4. Pleomorphic adenoma was the most common of the 29 (54.7%) benign histopathologic type seen. The soft palate was the commonest site affected 37 (69.8%). Local excision with wide margin was adequate in treating majority of the swellings 40 (75.5%), while 1 (1.9%) case of recurrence was seen within the study period. Tumors involving the MSGs are uncommon; males are mostly affected in our environment.

Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images

Background Erroneous diagnoses of melanocytic lesions (benign, atypical, and malignant types) result in inappropriate surgical treatment plans. Objective To propose a deep learning (DL)-based fully automated diagnostic method using whole slide images (WSIs) for melanocytic lesions. Methods The method consisted of patch prediction using a DL model and patient diagnosis using an aggregation module. The method was developed with 745 WSIs and evaluated using internal and external testing sets comprising 182 WSIs and 54 WSIs, respectively. The results were compared with those of the classification by one junior and two senior pathologists. Furthermore, we compared the performance of the three pathologists in the classification of melanocytic lesions with and without the assistance of our method. Results The method achieved an accuracy of 0.963 and 0.930 on the internal and external testing sets, respectively, which was significantly higher than that of the junior pathologist (0.419 and 0.535). With assistance from the method, all three pathologists achieved higher accuracy on the internal and external testing sets; the accuracy of the junior pathologist increased by 39.0% and 30.2%, respectively (p < .05). Conclusion This generalizable method can accurately classify melanocytic lesions and effectively improve the diagnostic accuracy of pathologists.

"The past is a different country, they do things differently there": using the SEER data-base to assess prognosis in neuroendocrine tumours.

Neuroendocrine neoplasms (NENs) are still considered to be rare neoplasms, and their epidemiology has been classically studied in large population-based cancer registries. Besides the benefits and the limitations that a cancer registry may have for all the registered cancers, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Programme, has a number of drawbacks for the study of NENs. The change in management of NENs, either from diagnostic or from therapeutic points of view, the role of the Ki-67 labelling index and introduction of sensitive functional imaging, along with the misclassification of the more benign types of NENs, are the main limitations of the prognostic ability of the SEER data-base, particularly when including older data.

A Hybrid Deep Learning Based Assist System for Detection and Classification of Breast Cancer from Mammogram Images

The most common cancer disease among all women is breast cancer. This type of disease is caused due to genetic mutation of ageing and lack of awareness. The tumour that occurred may be a benign type which is a non-dangerous and malignant type that is dangerous. The Mammography technique utilizes the early detection of breast cancer. A Novel Deep Learning technique that combines the deep convolutional neural networks and the random forest classifier is proposed to detect and categorize Breast cancer. The feature extraction is carried over by the AlexNet model of the Deep Convolutional Neural Network and the classifier precision is increased by Random Forest Classifier. The images are collected from the various Mammogram images of predefined datasets. The performance results confirm that the projected scheme has enhanced performance compared with the state-of-art schemes.

An environmentally benign and high-rate Appel type reaction

A green, high rate, high yielding, and selective Appel reaction that make use of 1,3-dihalo-5,5-dimethylhydantoins and N-halo-succinimides as halogenation reagents. The new Appel reaction method was developed for batch and continuous flow reactors.

Causes and types of breast cancer

Breast cancer is one of the most common types of cancer among women. It affects women for several external reasons such as exposure to radiation, chemicals, genetic or hereditary internal causes, age or lack of breastfeeding. It has several benign, malignant, localized, and widespread types, so this article is designed to shed light on the causes and types of breast cancer. In this review we have discussed Breast anatomically, breast histologically, types and causes of breast cancer.

Histopathological and Immunohistochemical Features of Nasal and Paranasal Sinus Neoplastic Lesions- A Cross-sectional Study

Introduction: Majority of nasal and paranasal sinus lesions clinically present as polypoidal lesions, complicating the diagnosis for the physician which inturn hampers the patient prognosis and in few cases survival of patient, so histopathology is imperative to arrive at the diagnosis. Carcinoma of the paranasal sinus cavity is rare representing 3-4% of head and neck tumours and less than 1% of all malignancies. Aim: To examine the histopathological patterns of neoplastic nasal and paranasal sinus lesions, to categorise neoplastic lesions into benign and malignant types, to find the relation of these lesions with age and sex and also to find the utility of Immunohistochemistry (IHC) in differentiating morphologically suspicious lesions. Materials and Methods: The present cross-sectional study was carried out between January 2020-January 2021. A total of 22 cases were taken for the study, which were received as nasal and paranasal sinus lesions in histopathology. All the lesions received were processed according to standard protocol and diagnosed histopathologically and confirmed by relevant special stains and immunohistochemical analysis (CD99, CD56 etc.). Results: Out of 22 cases, 16 were benign and six were malignant. The lesions were commonly detected between fourth to sixth decades. Male to female ratio was 1.4:1. The ratio of benign to malignant lesion was 2.67:1. The most common benign lesion encountered was capillary haemangioma (seven cases) and malignant lesion seen was squamous cell carcinoma (three cases), comparable to other similar studies. The IHC was done in malignant lesions for accurate diagnosis. Conclusion: In the present study, the cases are divided into benign and malignant lesions with the help of histopathological examination. Cases showing features of malignancy were further subjected to immunohistochemical examination as to diagnose the cases precisely and thus help in patient treatment and prognosis.

Management of Non-Mass Enhancement at Breast Magnetic Resonance in Screening Settings Referred for Magnetic Resonance-Guided Biopsy.

Rationale and Objectives:According to the Breast Imaging and Reporting Data System (BI-RADS), one of the main limitations of MRI is diagnosing the non-mass enhancement (NME). The NME lesion is challenging since it is unique to the MRI lexicon. This study aims to report our experience with NME lesions diagnosed by MRI referred for MRI-guided biopsies and discuss the management and follow-up of these lesions.Materials and Methods:We retrospectively evaluated all MRI-guide breast biopsies. We included all patients referred for NME breast MRI-guided biopsy in screening settings. All patients had a negative second-look mammography or ultrasonography. We correlated the distribution and internal enhancement pattern (IEP) of the NME lesions with histology. Invasive ductal carcinomas (IDC) of no special type and ductal carcinoma in situ (DCIS) were considered malignant lesions.Results:From January-2018 to July-2021, we included 96 women with a total of 96 lesions in the study. There were 90 benign and 6 malignant lesions with DCIS prevalence (5/6 cancers). The most frequent benign lesion type was fibrocystic changes. There were no NME lesions with diffuse or multiple area distribution features referred to MRI-guided biopsy. The positive-predictive values (PPV) were respectively 0.0%, 2.5%, 9.0%, and 11.0% for linear, focal, regional, and segmental distribution describers, and 0.0, 3.0%, 7.9%, and 50% for homogenous, heterogeneous, clumped, and clustered-ring enhancement patterns.Conclusion:We observe the high potential risk for malignancy in the clustered-ring enhancement followed by the clumped pattern. Segmental distribution presented the highest predictive-positive values.

Nipple Adenoma Treated with Nipple Preservation in Young Female Patient: A Report of 2 Cases

Adenoma of the nipple is a rare benign type of breast that occurs most often in middle-aged women with nipple discharge, skin erosion in addition to crusting, inflammation, and pain. It can be clinically confused with Paget’s disease or breast cancer precursor lesions, such as ductal carcinoma in situ low grade. The treatment of choice for nipple adenoma is complete excision of the tumor. However in younger women, nipple preservation is required. We present two cases of nipple adenoma that were completely removed with nipple preservation.

EMD-WOG-2DCNN based EEG signal processing for Rolandic seizure classification

Objective Approximately 65 million people have epilepsy around the world. Recognition of epilepsy types is the basis to determine the treatment method and predict the prognosis in epilepsy patients. Childhood benign epilepsy with centrotemporal spikes (BECTS) or benign Rolandic epilepsy is the most common focal epilepsy in children, accounting for 15–20% of childhood epilepsies. These EEG patterns of individuals usually predict good treatment responses and prognosis. Until now, the interpretation of EEG still depends entirely on experienced neurologists, which may be a lengthy and tedious task. Method In this article, we proposed a novel machine learning model that efficiently distinguished Rolandic seizures from normal EEG signals. The proposed machine learning model processes the identification procedure in the following order (1) creating preliminary EEG features using signal empirical mode decomposition, (2) applying weighted overlook graph (WOG) to represent the decomposed EMD of IMF, and (3) classifying the results through a two Dimensional Convolutional Neural Network (2DCNN). The performance of our classification model is compared with other representative machine learning models. Results The model offered in this article gains an accuracy performance exceeding 97.6% in the Rolandic dataset, which is higher than other classification models. The effect of the model on the Bonn public dataset is also comparable to existing methods and even performs better in some subsets. Conclusion The purpose of this study is to introduce the most common childhood benign epilepsy type and propose a model that meets the real clinical needs to distinguish this Rolandic EEG pattern from normal signals accurately. Significance Future research will optimize the model to categorize other types of epilepsies beyond BECTS and finally implement them in the hospital system.