Metastatic tumors in fine needle aspiration biopsy of the thyroid

A series of almost 25,000 thyroids examined by fine needle aspiration (FNA) biopsy was reviewed to ascertain the incidence and presentation of metastatic cancers in thyroid FNA samples. Metastatic cancers in FNA samples from the thyroid were identified in 25 cases (0.1%); the primary tumors were carcinomas of the kidney (8 cases), lung (7 cases), breast (5 cases), cervix uteri (1 case) and colon (1 case) and 1 case each of malignant melanoma, malignant pleural mesothelioma and rhabdomyosarcoma. FNA cytology was positive in all 25 cases. In 11 cases, the primary tumor was clinically known at the time of FNA biopsy; of the other 14 cases, cytology suggested that the malignancy was metastatic in only 5. Metastases of renal and mammary adenocarcinomas were almost indistinguishable from follicular and papillary thyroid carcinomas on cytologic grounds. The results demonstrate the rarity of this finding and the difficulty of diagnosing a metastatic tumor in the thyroid by FNA biopsy, in the absence of a clinical history of a prior primary neoplasm.     

Automated breast cancer diagnosis based on fine needle aspiration

OBJECTIVE: To design and analyze an automated diagnostic system for breast carcinoma based on fine needle aspiration (FNA). STUDY DESIGN: FNA is a noninvasive alternative to surgical biopsy for the diagnosis of breast carcinoma. Widespread clinical use of FNA is limited by the relatively poor interobserver reproducibility of the visual interpretation of FNA images. To overcome the reproducibility problem, past research has focused on the development of automated diagnosis systems that yield accurate, reproducible results. While automated diagnosis is, by definition, reproducible, it has yet to achieve diagnostic accuracy comparable to that of surgical biopsy. In this article we describe a sophisticated new diagnostic system in which the mean sensitivity (of FNA diagnosis) approaches that of surgical biopsy. The diagnostic system that we devised analyzes the digital FNA data extracted from FNA images. To achieve high sensitivity, the system needs to solve large, equality-constrained, integer nonlinear optimization problems repeatedly. Powerful techniques from the theory of Lie groups and a novel optimization technique are built into the system to solve the underlying optimization problems effectively. The system is trained using digital data from FNA samples with confirmed diagnosis. To analyze the diagnostic accuracy of the system > 8,000 computational experiments were performed using digital FNA data from the Wisconsin Breast Cancer Database. RESULTS: The system has a mean sensitivity of 99.62% and mean specificity of 93.31%. Statistical analysis shows that at the 95% confidence level, the system can be trusted to correctly diagnose new malignant FNA samples with an accuracy of 99.44-99.8% and new benign FNA samples with an accuracy of 92.43-93.93%. CONCLUSION: The diagnostic system is robust and has higher sensitivity than do all the other systems reported in the literature. The specificity of the system needs to be improved.     

Metastatic ganglioneuroblastoma in head and neck diagnosed by fine needle aspiration: a case report

BACKGROUND: To describe the cytologic findings of a case of ganglioneuroblastoma metastatic to the jaw and neck. CASE: A 15-year-old boy with a known case of ganglioneuroblastoma of the kidney for the previous 10 years manifested by right mandibular and neck masses on 2 occasions 1 year apart was diagnosed with metastatic ganglioneuroblastoma by fine needle aspiration (FNA). FNA showed neurofibrillary material, small malignant cells, Homer-Wright rosettes. mononucleated, binucleated and multinucleated ganglion cells and Reed Sternberg-like ganglion cells. Metastatic ganglioneuroblastoma was diagnosed on both occasions, and the patient received appropriate treatment, with resolution of the lesions. CONCLUSION: This case illustrates the FNA findings of metastatic ganglioneuroblastoma in the head and neck region.     

Evaluation of fine needle aspiration vs. fine needle capillary sampling on specimen quality and diagnostic accuracy in endoscopic ultrasound-guided biopsy

OBJECTIVE: To compare percutaneous and endoscopic ultrasound (EUS)-guided biopsy techniques. Study DESIGN: From July 2005 to February 2006, all patients referred for EUS-guided fine needle aspiration (FNA) were considered. If inclusion criteria were met, the first 2 biopsy passes were performed without suction (fine needle capillary [FNC] sampling). Two additional passes were performed using the same needle with 10 mL of applied suction (FNA). A single blinded pathologist later retrospectively evaluated each set of slides. Fifty-three patients met inclusion criteria. The study group comprised pancreatic masses (23), lymph nodes (26), subepithelial masses (3) and liver lesion (1). There were 38 malignant and 15 benign lesions. RESULTS: No statistically significant differences were found with the scoring systems considered in the study. In the subgroups of patients with pancreatic masses, lymph nodes, benign disease and malignant disease, no statistically significant outcomes were noted. CONCLUSIONS: No difference exists between quality and diagnostic accuracy of specimens obtained from EUS-guided tissue acquisition via FNC and FNA. The decision to use FNC or FNA should be left to the discretion of the individual endosonographer.     

Cytological grading of breast cancer in Giemsa-stained fine needle aspiration smears

A potential cytological nuclear grading based on a semi-quantitative evaluation of three basic nuclear features, size of cell nuclei, anisonucleosis and the proportion of nucleoli-containing-nuclei, was tested on 74 Giemsa-stained fine needle aspiration of breast smears for its reliability in establishing the malignant potential of breast cancer. The prognostic impact of DNA-ploidy and S-phase fraction was also assessed. A good correlation between the three basic nuclear features, DNA-ploidy, S-phase fraction, cytological nuclear grade and histological grade, was shown. Using the cytological nuclear grade proposed, correct classification of cases between low histological grade (HG I) and high histological grade (HG II + HG III) was achieved in 79.73%. A statistically significant difference in 5-year survival rate was also observed between low malignancy grade and high malignancy grade breast cancer patients, regardless of the grading method used. DNA-ploidy and S-phase fraction were not statistically significant in establishing the malignant potential of breast cancer.     

Carcinoid tumour of male breast diagnosed by fine needle aspiration

A primary carcinoid tumour of the breast in a 66-year-old man was diagnosed by fine-needle aspiration cytology. The nature of the lesion was proved by histochemical and immunocytochemical studies. The importance of a conclusive diagnosis is discussed and the value of immunocytochemical analysis as an aid to cytomorphologic diagnosis is demonstrated.     

Statistical approach to fine needle aspiration diagnosis of breast masses

A statistical algorithm was used for recursively partitioning a consecutive series of 37 benign and 69 malignant fine needle aspirates to produce a decision tree for diagnosing breast masses. Optimal separation between benign and malignant cytology was accomplished by evaluating clump characteristics when clumps were present and evaluating cell integrity when clumps were absent. The 1.5% false-negative and 9.7% false-positive rates obtained through this scheme are better than those reported for most series.