Ultrasonographic Evaluation of Soft Tissue Calcifications in the Head and Neck Region Detected on Panoramic Radiographs.

OBJECTIVE: The aim of this study is to present a comparison between panoramic radiographs and USG imaging with a focus on revealing the advantages of USG over radiographs, and to show the distribution of calcifications detected in USG by considering the age and gender. METHODS: A total of 148 patients with soft tissue calcifications as seen on panoramic radiographs were examined with USG imaging. Sialoliths, carotid artery calcifications, tonsilloliths, phleboliths and lymph node calcifications were examined in terms of anatomical localization, distribution and shape. RESULTS: In the USG evaluation of these 148 patients, soft tissue calcifications were observed in 113 (76.4%) patients. The mean age of the patients with calcification was 55.6 ± 13.1 (min: 22-max: 77). Bilateral calcifications were detected in 25 (22.1%) patients, whereas unilateral calcifications were found in 88 (77.9%) patients. While the rates of tonsilloliths, sialoliths, phleboliths, and lymph node calcifications were statistically similar in male and female patients, the rate of carotid artery calcifications was found to be higher in men than in women (P = 0.017). No statistical significance was found between age groups in terms of the formation of soft tissue calcifications (P = 0.117). CONCLUSIONS: Panoramic radiographs may mislead clinicians in the diagnosis and differential diagnosis of soft tissue calcifications in the head and neck region due to the presence of distortion, superpositions, metal artefacts, and ghost images. USG is an important diagnostic tool in determining the localization of soft tissue calcifications that can be confused on two-dimensional radiographs, their relationship with neighboring structures, and defining calcification. It can be used safely in the detection of soft tissue calcifications as it provides dynamic imaging without the use of radiation or contrast material compared to other advanced imaging methods.

Deep learning as a new tool in the diagnosis of mycosis fungoides.

Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the greatest diagnostical challenge is to timely differentiate MF from inflammatory diseases. Contemporary computational methods successfully identify cell nuclei in histological specimens. Deep learning methods are especially favored for such tasks. A deep learning model was used to detect nuclei Hematoxylin-Eosin(H-E) stained micrographs. Nuclear properties are extracted after detection. A multi-layer perceptron classifier is used to detect lymphocytes specifically among the detected nuclei. The comparisons for each property between MF and non-MF were carried out using statistical tests the results are compared with the findings in the literature to provide a descriptive analysis as well. Random forest classifier method is used to build a model to classify MF and non-MF lymphocytes. 10 nuclear properties were statistically significantly different between MF and non-MF specimens. MF nuclei were smaller, darker and more heterogenous. Lymphocyte detection algorithm had an average 90.5% prediction power and MF detection algorithm had an average 94.2% prediction power. This project aims to fill the gap between computational advancement and medical practice. The models could make MF diagnoses easier, more accurate and earlier. The results also challenge the manually examined and defined nuclear properties of MF with the help of data abundance and computer objectivity.

The role of COL6A1and PD-1 expressions in renal cell carcinoma.

OBJECTIVE: The COL6A1 is a gene encoding the alpha 1 polypeptide subunit of collagen 6 (COL6A1), an extracellular matrix protein subunit. Programmed cell death receptor-1 (PD-1) and its ligand, programmed cell death receptor ligand-1 (PD-L1) have been shown to have a prognostic significance in clear cell renal cell carcinomas (RCCs). In this study, we evaluated the expressions of COL6A1 and PD-1 in four different RCC subtypes. MATERIALS AND METHODS: A total of 161 radical nephrectomy and nephron-sparing surgery cases with RCCs from five different health care centers were included in this study. Clinical data of the cases were taken from electronic records of the institutions. The pathological data were collected by an expert uropathologist and re-evaluated with slides obtained from paraffin blocks of the cases. The correlation of COL6A1 and PD-1 expression with sex, age, tumor type, lymphovascular invasion (LVI), World Health Organization/International Society of Urological Pathology (WHO/ISUP) grade, and tumor stage (pT) was analyzed with the Pearson chi-squared test. RESULTS: Patients with sarcomatoid RCC and clear cell RCC had significantly higher COL6A1 scores and intensities than in other types of RCC (p=0.004 and p=0.002, respectively). WHO/ISUP grade and, COL6A1 and PD-1 staining scores also showed positive correlation (r=0.230, p=0.004 and r=0.277, p=0.001, respectively for COL6A1 and r=0.191, p=0.018 and r=0.166, p=0.041, respectively for PD-1). The staining scores and intensities of COL6A1 and PD-1 were not different between the patients with positive and negative LVI (p>0.05). CONCLUSION: In high-grade RCCs, we found the relationship between immunohistochemical staining scores of COL6A1 and PD-1 proteins and clinical, demographic, and histopathological parameters. Our results proved that COL6A1 and PD-1 are really promising proteins as prognostic parameters and for targeted immunotherapy.

Available bone morphology and status of neural structures in the mandibular interforaminal region: three-dimensional analysis of anatomical structures.

PURPOSE: This study aimed to clarify the size and morphology of the mandible and to determine state of neural structures for the planning of the dental implantation using cone-beam computerized tomography (CBCT). METHODS: Of the 252 patients, CBCT images of 48 selected patients were evaluated. The bone height and width were measured and the type of the mental portion of the inferior alveolar canal, the anterior loop length (ALL), the location of the incisive canal and lingual foramen were identified with cross-sectional and multiplane reformatted CBCT images. According to buccal and lingual concavities, the shape of the mandible is classified as type A, B and C. RESULTS: Bone widths of males were significantly higher than female (p < 0.05). The thickest part of the alveolar bone was measured in the middle triple zone (d line) and the thinnest part was measured in the area near the alveolar crest (b line). The most seen type of mandible was type B (45.8%) that mandible was concave on the buccal side. Bone heights had a tendency to increase towards to the anterior mandible, and bone height in male patients was slightly but not significantly greater than that in female patients. ALL was 4.2 ± 1.2 mm and visible incisive canal length on CBCT was 9.7 ± 3.8 mm. CONCLUSION: CBCT assessment of morphological features of the alveolar bone and locations of nerve canals and foramina in the anterior-premolar region of mandible represent useful practical anatomical information about the interforaminal region. This information is the guide to the dentist before implant surgery.