Search Results
Search for other papers by Huy Gia Vuong in
Google Scholar
PubMed
Search for other papers by Nguyen Phuoc Long in
Google Scholar
PubMed
Search for other papers by Nguyen Hoang Anh in
Google Scholar
PubMed
Search for other papers by Tran Diem Nghi in
Google Scholar
PubMed
Search for other papers by Mai Van Hieu in
Google Scholar
PubMed
Search for other papers by Le Phi Hung in
Google Scholar
PubMed
Search for other papers by Tadao Nakazawa in
Google Scholar
PubMed
Search for other papers by Ryohei Katoh in
Google Scholar
PubMed
Search for other papers by Tetsuo Kondo in
Google Scholar
PubMed
There are still ongoing debates as to which cut-off percentage of tall cell (TC) should be used to define tall cell variant (TCV) papillary thyroid carcinoma (PTC). In this meta-analysis, we aimed to investigate the clinicopathological significance of PTC with tall cell features (PTC-TCF, PTC with 10–50% of TCs) in comparison with classical PTC and TCVPTC (PTC with more than 50% of TCs) to clarify the controversial issue. Four electronic databases including PubMed, Web of Science, Scopus and Virtual Health Library were accessed to search for relevant articles. We extracted data from published studies and pooled into odds ratio (OR) and its corresponding 95% confidence intervals (CIs) using random-effect modeling. Nine studies comprising 403 TCVPTCs, 325 PTC-TCFs and 3552 classical PTCs were included for meta-analyses. Overall, the clinicopathological profiles of PTC-TCF including multifocality, extrathyroidal extension, lymph node metastasis, distant metastasis and patient mortality were not statistically different from those of TCVPTC. Additionally, PTC-TCF and TCVPTC were both associated with an increased risk for aggressive clinical courses as compared to classical PTC. The prevalence of BRAF mutation in PTC-TCF and TCVPTC was comparable and both were significantly higher than that in classical PTC. The present meta-analysis demonstrated that even a PTC comprising only 10% of TCs might be associated with a poor clinical outcome. Therefore, the proportions of PTC in PTC should be carefully estimated and reported even when the TC component is as little as 10%.
Search for other papers by Keiko Ohkuwa in
Google Scholar
PubMed
Search for other papers by Kiminori Sugino in
Google Scholar
PubMed
Search for other papers by Ryohei Katoh in
Google Scholar
PubMed
Search for other papers by Mitsuji Nagahama in
Google Scholar
PubMed
Search for other papers by Wataru Kitagawa in
Google Scholar
PubMed
Search for other papers by Kenichi Matsuzu in
Google Scholar
PubMed
Search for other papers by Akifumi Suzuki in
Google Scholar
PubMed
Search for other papers by Chisato Tomoda in
Google Scholar
PubMed
Search for other papers by Kiyomi Hames in
Google Scholar
PubMed
Search for other papers by Junko Akaishi in
Google Scholar
PubMed
Search for other papers by Chie Masaki in
Google Scholar
PubMed
Search for other papers by Kana Yoshioka in
Google Scholar
PubMed
Search for other papers by Koichi Ito in
Google Scholar
PubMed
Objective
Parathyroid carcinoma is a rare tumor among parathyroid tumors. Aspiration cytology and needle biopsy are generally not recommended for diagnostic purposes because they cause dissemination. Therefore, it is commonly diagnosed by postoperative histopathological examination. In this study, we investigated whether preoperative inflammatory markers can be used as predictors of cancer in patients with primary hyperparathyroidism.
Design
This was a retrospective study.
Methods
Thirty-six cases of parathyroid carcinoma and 50 cases of parathyroid adenoma (PA) operated with the diagnosis of primary hyperparathyroidism and confirmed histopathologically at Ito Hospital were included in this study. Preoperative clinical characteristics and inflammatory markers (neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio (LMR)) were compared and their values in preoperative prediction were evaluated and analyzed.
Results
Preoperative intact-parathyroid hormone (P = 0.0003), serum calcium (P = 0.0048), and tumor diameter (P = 0.0002) were significantly higher in parathyroid carcinoma than in PA. LMR showed a significant decrease in parathyroid carcinoma (P = 0.0062). In multivariate analysis, LMR and tumor length diameter were independent predictors. In the receiver operating characteristics analysis, the cut-off values for LMR and tumor length diameter were 4.85 and 28.0 mm, respectively, for parathyroid cancer prediction. When the two extracted factors were stratified by the number of factors held, the predictive ability improved as the number of factors increased.
Conclusion
In the preoperative evaluation, a combination of tumor length diameter of more than 28 mm and LMR of less than 4.85 was considered to have a high probability of cancer.