Background And Objective: The brain is an unusual site for distant metastases of differentiated thyroid carcinoma (DTC). The aim of this study was to document the prevalence of brain metastases from DTC at our institutions and to analyze the current therapies and the outcomes of these patients.
Methods: We performed a retrospective chart review of patients with DTC and secondary neoplasia of the brain.
Results: From 2002 to 2016, 9514 cases of thyroid cancer were evaluated across our institutions and 24 patients met our inclusion criteria, corresponding to a prevalence of 0.3% of patients with DTC. Fourteen (58.3%) were female and 10 (41.7%) were male. Fifteen patients had papillary thyroid cancer (PTC) (62.5%). Brain metastases were diagnosed 0 to 37 years (mean ± SD, 10.6 ± 10.4 years) after the initial diagnosis of thyroid cancer. Patients undergoing surgery had a median survival time longer than those that did not undergo surgery (27.3 months vs 6.8 months; = 0.15). Patients who underwent stereotactic radiosurgery (SRS) had a median survival time longer than those that did not receive SRS (52.5 months vs 6.7 months; = 0.11). Twelve patients (50%) were treated with tyrosine kinase inhibitors (TKIs), and they had a better survival than those who have not used a TKI (median survival time, 27.2 months vs 4.7 months; < 0.05).
Conclusion: The prevalence of brain metastases of DTC in our institutions was 0.3% over 15 years. The median survival time after diagnosis of brain metastases was 19 months. In our study population, the use of TKI improved the survival rates.
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http://dx.doi.org/10.1210/js.2018-00241 | DOI Listing |
Med Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
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January 2025
Helsinki University Hospital and University of Helsinki, Department of Obstetrics and Gynecology, Helsinki, Finland; University of Helsinki, Faculty of Medicine, Helsinki University Hospital and Research Program in Applied Tumor Genomics, Department of Pathology, Helsinki, Finland.
Objective: Endometrial carcinomas with mismatch repair deficiency (MMRd) and no specific molecular profile (NSMP) are considered to have intermediate prognoses. However, potential prognostic differences between these molecular subgroups remain unclear due to the lack of standardized control for clinicopathologic factors. This study aims to evaluate outcomes of MMRd and NSMP endometrial carcinomas across guideline-based clinicopathologic risk groups.
View Article and Find Full Text PDFMicrosurgery
February 2025
Plastic and Reconstructive Surgery, Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Background: Scalp reconstruction is a challenging field for plastic surgeons. In case of large or complex defects, microsurgical-free flaps are usually required. Reconstructive failure can result in high morbidity and in some cases be life-threatening.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Department of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital, New York, NY 10065, USA.
The blood-brain barrier (BBB) remains an obstacle for delivery of chemotherapeutic agents to gliomas. High grade and recurrent gliomas continue to portend a poor prognosis. Multiple methods of bypassing or manipulating the BBB have been explored, including hyperosmolar therapy, convection-enhanced delivery (CED), laser-guided interstitial thermal therapy (LITT), and Magnetic Resonance Guided Focused Ultrasound (MRgFUS) to enhance delivery of chemotherapeutic agents to glial neoplasms.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen, Germany.
Background: This study aimed to develop an automated algorithm to noninvasively distinguish gliomas from other intracranial pathologies, preventing misdiagnosis and ensuring accurate analysis before further glioma assessment.
Methods: A cohort of 1280 patients with a variety of intracranial pathologies was included. It comprised 218 gliomas (mean age 54.
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