MATERIALS AND METHODS: This study included 50 cases of thyroid lesions (20 cases of colloid goitre, 15 of follicular adenoma, 5 of follicular carcinoma and 10 papillary carcinomas). Digital images of cytologic smears of these cases were captured using a dedicated photomicrography system and nuclear profiles traced manually. With self-designed image analysis software, nuclear morphometric measurements, including texture analysis, were performed. Discriminant analysis was performed including the morphometric parameters and percentage of correctly classified nuclei noted.
RESULTS: Nuclear morphometry parameters showed that papillary thyroid carcinoma had the highest perimeter, area, radius and elongation factor compared to other thyroid lesions. Discriminant analysis revealed that altogether 77.9% of cells could be correctly classified to their lesion category based on the nuclear morphometric and textural parameters. Of the neoplastic cases, 84.5% of cells of follicular neoplasms and 72.5% of papillary carcinoma were classified to the respective category.
CONCLUSION: Nuclear morphometry, including texture analysis, can assist in the cytologic diagnosis of thyroid lesions, considering the high degree of accuracy of classification. Further studies and methodological refinements can achieve higher accuracy.
CASE REPORT: We report a case of a 75-year-old man who presented with symptoms of obstructive jaundice. Ultrasonography and computed tomography (CT) showed an ill-defined lobulated soft tissue lesion at the head/uncinate process of the pancreas measuring 4.5 x 4.9 x 5.8 cm. The patient underwent pancreaticoduodenectomy for suspected pancreatic head/uncinate process carcinoma. Histopathology and immunohistochemical assessment of the pancreatic lesion established the diagnosis of a low-grade follicular lymphoma.
DISCUSSION: Clinical and imaging features of primary pancreatic lymphoma may often overlap with pancreatic carcinoma. There is a value of obtaining preoperative tissue diagnosis such as tissue biopsy and fine needle aspiration (FNA) cytology with or without flow cytometry to make an accurate diagnosis of non-Hodgkin lymphoma and alleviate the need of more radical surgery in pancreatic lymphoma.
METHODS: The records of one hundred and thirty-four NPC cases confirmed by histopathology in Hospital Universiti Sains Malaysia (USM) between 1st January 1998 and 31st December 2007 that fulfilled the inclusion and exclusion criteria were retrospectively reviewed. Simple and multiple Cox proportional hazard regression analyses were performed to determine the significant prognostic factors affect the survival of NPC patients.
RESULTS: The mean (SD) age of patients diagnosed with NPC was 48.12 (15.88) years with Malay was the largest ethnic group compared to other ethnicities. Most of patients had locally advanced stage IV (40.6%) and stage III (39.1%) of NPC. The overall median survival time of NPC patients was 31.30 months (95% CI 23.76, 38.84). The significant prognostic factors that influenced the survival of NPC patients were older age (HR 1.03, 95% CI 1.01, 1.04), metastases (HR 2.52, 95% CI 1.01, 6.28) and stage IV disease (HR 4.50, 95% CI 1.66, 9.88).
CONCLUSION: Older age, the presence of metastases and late stage are significant prognostic factors that influence the survival of NPC. Therefore, it is important to provide education to public and to raise awareness to diagnose NPC at an earlier stage and before the presence of metastases.
METHODS: This study enrolled 100 patients in a single-center tertiary teaching hospital. Patients presented for screening colonoscopy, and those with suspicious colorectal lesions were included in this study. During colonoscopy, the most suspicious lesion in each patient was analyzed using the NBI system based on Sano's classification. Each lesion was biopsied for histopathological analysis, the gold standard. Endoscopic images were captured electronically. The sensitivity, specificity, and diagnostic accuracy of NBI colonoscopy were assessed. Other associated factors related to neoplastic and non-neoplastic lesions were analyzed accordingly.
RESULTS: The sensitivity and specificity of the NBI were 88.2% and 71.9%, respectively. The area under the receiver-operator curve was 0.801, indicating that NBI has a good ability to differentiate between disease and non-disease. There are significant associations between histopathological examination outcomes and both presenting symptoms, especially weight loss, and lesion site, even after other variables were controlled (P
METHODS: Colonic EMRs performed for polypoid and nonpolypoid lesions at a tertiary institution were prospectively collected and analyzed for efficacy, and short and long-term complications.
RESULTS: 224 colonic neoplasms (143 flat, 65 sessile and 16 subpedunculated) were excised by the standard inject-and-cut method, with standard accessories. The median size of all lesions was 10 mm (range 2-50 mm) and 110 (49.2%) lesions were located in the proximal colon. Histological completeness of resection was achieved in 87% of cases. Of the lesions 77.2% were dysplastic, with 5 cases of carcinoma in situ and 18 severely dysplastic adenomas. Complications included bleeding in five cases (2.2 %) and a single case of perforation (0.4%). All complications were managed endoscopically. Median follow up at 24 +/- 16 months (range 12-84 months) revealed a 7.2% local recurrence rate, all of which were subsequently eradicated by repeat EMR.
CONCLUSIONS: Standard inject-and-cut colonic EMR is practical and effective in the eradication of superficial colonic neoplasia.
MATERIALS & METHODS: Podoplanin expression was evaluated immunohistochemically in 153 breast cancers. Tumours with ≥ 10% distinct cytoplasmic podoplanin staining in CAFs were considered as positive.
RESULTS: In 65.3% of analysed tumours, podoplanin expression was found positive in CAFs. According to our results, podoplanin positive CAFs correlated significantly with tumour size (p= 0.012), tumour grade (p= 0.032) and cerbB2 score (p= 0.032).
DISCUSSION: Our results suggest that podoplanin expression by CAFs could predict poor patient outcome in breast carcinoma.