Papillary thyroid microcarcinoma (PTMC): Prognostic factors, management and outcome in 403 patients
Autor: | L. Rampin, C Pagetta, Isabella Merante Boschin, Maria Rosa Pelizzo, Andrea Piotto, Antonio Toniato, Domenico Rubello, Paolo Bernante |
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Rok vydání: | 2006 |
Předmět: |
Male
medicine.medical_specialty Multivariate analysis medicine.medical_treatment Urology Disease Thyroglobulin Iodine Radioisotopes Carcinoma medicine Humans Combined Modality Therapy Thyroid Neoplasms Thyroid cancer business.industry Thyroidectomy General Medicine Middle Aged Prognosis medicine.disease Carcinoma Papillary Surgery Dissection Oncology Hormonal therapy Female Neoplasm Recurrence Local business |
Zdroj: | European Journal of Surgical Oncology (EJSO). 32:1144-1148 |
ISSN: | 0748-7983 |
DOI: | 10.1016/j.ejso.2006.07.001 |
Popis: | Aim To investigate an “optimal” therapeutic management of patients with papillary thyroid microcarcinoma (PTMC). Methods We evaluated a group of 403 consecutive patients affected by PTMC operated on by the same surgeon. Prognostic factors were evaluated by uni- and multivariate statistical analysis. Results After a mean follow-up of 8.5 years, 372 patients were living without disease (undetectable serum thyroglobulin levels), 24 patients were living with disease (increased serum thyroglobulin levels), 6 patients were deceased due to causes different from thyroid cancer, and 1 patient was deceased due to metastatic thyroid cancer. No statistically significant prognostic factor was found at uni- and multivariate analysis. However, it is worth noting that in patients with a larger primary tumour (size ≥ 5 mm) and treated by partial thyroidectomy alone, the prevalence of recurrent disease was higher than in patients treated by total thyroidectomy and 131 I administration. Conclusion It appears reasonable to perform total thyroidectomy (possibly associated with central compartment node dissection), 131 I whole body scan (followed by 131 I therapy when necessary) and TSH-suppressive hormonal therapy in patients with PTMC. |
Databáze: | OpenAIRE |
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