BACKGROUND: Poorly differentiated (PD) carcinomas of the thyroid are conceptually situated between well-differentiated (papillary or follicular) carcinomas and anaplastic thyroid carcinomas. Although the morphologic criteria for PD tumors are well defined, it is not clear how much of a PD area besides a well-differentiated component in a given tumor is required to allow such a diagnosis. METHODS: We identified 42 patients suffering from thyroid carcinoma with an adverse clinical outcome. Fifty patients with follicular carcinoma were added as controls. We analyzed poorly differentiated areas by applying the Turin criteria of PD carcinomas. These criteria consisted of the presence of a solid/trabecular/insular growth pattern, lack of nuclear features of papillary carcinoma, and presence of 1 of the following features: (1) convoluted nuclei, (2) tumor necrosis, (3) 3 or more mitoses per 10 high-power fields. RESULTS: Using a cutoff value of 10% of PD areas per examined tumor surface, we identified a total of 35 PD carcinomas. Despite using a threshold of 10% of the tumor area as poorly differentiated, the survival data in a Kaplan-Meier analysis were significantly worse than those in the control group (P<0.001) and did not differ from tumors with a PD area >50%. In a multivariate analysis that included age, sex, tumor stage, and PD area >10% against survival data, the only consistent significant factor was PD differentiation (P<0.001). CONCLUSIONS: As even slight amounts of PD areas (≥ 10%) in a thyroid carcinoma affect the prognosis significantly, the presence of such areas may be worth reporting in thyroid carcinomas.
BACKGROUND: Poorly differentiated (PD) carcinomas of the thyroid are conceptually situated between well-differentiated (papillary or follicular) carcinomas and anaplastic thyroid carcinomas. Although the morphologic criteria for PD tumors are well defined, it is not clear how much of a PD area besides a well-differentiated component in a given tumor is required to allow such a diagnosis. METHODS: We identified 42 patients suffering from thyroid carcinoma with an adverse clinical outcome. Fifty patients with follicular carcinoma were added as controls. We analyzed poorly differentiated areas by applying the Turin criteria of PD carcinomas. These criteria consisted of the presence of a solid/trabecular/insular growth pattern, lack of nuclear features of papillary carcinoma, and presence of 1 of the following features: (1) convoluted nuclei, (2) tumor necrosis, (3) 3 or more mitoses per 10 high-power fields. RESULTS: Using a cutoff value of 10% of PD areas per examined tumor surface, we identified a total of 35 PD carcinomas. Despite using a threshold of 10% of the tumor area as poorly differentiated, the survival data in a Kaplan-Meier analysis were significantly worse than those in the control group (P<0.001) and did not differ from tumors with a PD area >50%. In a multivariate analysis that included age, sex, tumor stage, and PD area >10% against survival data, the only consistent significant factor was PD differentiation (P<0.001). CONCLUSIONS: As even slight amounts of PD areas (≥ 10%) in a thyroid carcinoma affect the prognosis significantly, the presence of such areas may be worth reporting in thyroid carcinomas.
Authors: Henning Dralle; Thomas J Musholt; Jochen Schabram; Thomas Steinmüller; Andreja Frilling; Dietmar Simon; Peter E Goretzki; Bruno Niederle; Christian Scheuba; Thomas Clerici; Michael Hermann; Jochen Kußmann; Kerstin Lorenz; Christoph Nies; Peter Schabram; Arnold Trupka; Andreas Zielke; Wolfram Karges; Markus Luster; Kurt W Schmid; Dirk Vordermark; Hans-Joachim Schmoll; Reinhard Mühlenberg; Otmar Schober; Harald Rimmele; Andreas Machens Journal: Langenbecks Arch Surg Date: 2013-03-03 Impact factor: 3.445
Authors: Matthew W Rosenbaum; Benjamin J Gigliotti; Sara I Pai; Sareh Parangi; Heather Wachtel; Mari Mino-Kenudson; Viswanath Gunda; William C Faquin Journal: Endocr Pathol Date: 2018-03 Impact factor: 3.943
Authors: Agnieszka Walczyk; Janusz Kopczyński; Danuta Gąsior-Perczak; Iwona Pałyga; Artur Kowalik; Magdalena Chrapek; Maria Hejnold; Stanisław Góźdź; Aldona Kowalska Journal: PLoS One Date: 2020-02-24 Impact factor: 3.240