Purpose: The aim of this study was to evaluate the value of preablative stimulated thyroglobulin (presTg) and thyroglobulin reduction index (TRI) to predict the different responses to second radioactive iodine (RAI) therapy in differentiated thyroid cancer (DTC) patients with structural incomplete response (SIR).
Patients And Methods: A single-center retrospective study analyzed the different clinical outcomes after second RAI therapy in 206 patients with SIR. PresTg1 and presTg2 were measured before first and second RAI management and TRI was the reduction index of presTg1 and presTg2. Cut-off values of presTg and TRI were obtained using receiver operating characteristic analysis. The univariate logistic regression analysis was performed to confirm these parameters as prognostic factors to predict different responses to second RAI therapy.
Results: Only ATA risk stratification, the post-therapy whole-body scanning (Rx-WBS) findings, presTg1, presTg2, TRI, were different in patients with SIR. After second RAI therapy, 28.2% (58/206) of patients with SIR initially were reclassified as excellent response (ER). PresTg1 <6.6 ng/mL, presTg2 <1.2ng/mL, and TRI >74.2% were excellent indications to predict ER from non-ER after second RAI treatment. PresTg1 >14.9 ng/mL, presTg2 >1.8ng/mL and TRI <66.5% were well markers to predict poor outcome (SIR). High risk and distant metastases could still be considered as risk factors.
Conclusion: DTC patients with SIR could benefit through second RAI treatment. PresTg before each RAI therapy and TRI could be considered as effective decision-making markers for second RAI therapy and as predictive indications for clinical outcomes.
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http://dx.doi.org/10.2147/CMAR.S314621 | DOI Listing |
J Clin Med
January 2025
Department of Surgical Oncology, Medical Faculty, Okan University, 34947 Istanbul, Turkey.
Childhood cancer survival rates have improved, but survivors face an increased risk of second malignant neoplasms (SMNs), particularly thyroid cancer. This study examines the demographic, clinical, genetic, and treatment characteristics of childhood cancer survivors who developed thyroid cancer as a second or third malignancy, emphasizing the importance of long-term surveillance. A retrospective review was conducted for childhood cancer survivors treated between 1990 and 2018 who later developed thyroid cancer as a second or third malignancy.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Breast cancer ranks as the second most prevalent cancer globally and is the most frequently diagnosed cancer among women; therefore, early, automated, and precise detection is essential. Most AI-based techniques for breast cancer detection are complex and have high computational costs. Hence, to overcome this challenge, we have presented the innovative LightweightUNet hybrid deep learning (DL) classifier for the accurate classification of breast cancer.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
From the Department of Radiation Oncology (A.S.G., V.H., H.S.) and Department of Radiology and Imaging Sciences (B.D.W.), Emory University School of Medicine, 1701 Uppergate Dr, C5008 Winship Cancer Institute, Atlanta, GA 30322; Department of Radiology, University of Miami {School of Medicine?}, Miami, Fla (S.S., A.A.M.); Department of {Radiology?} Northwestern University {Feinberg School of Medicine?}, Chicago, Ill (L.A.D.C.); Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, Ga (Y.L.); Department of Psychology, Emory University, Atlanta, Ga (M.T.); and Department of Radiology, Duke University Medical Center, Durham, NC (B.J.S.).
Purpose To develop and evaluate the performance of NNFit, a self-supervised deep-learning method for quantification of high-resolution short echo-time (TE) echo-planar spectroscopic imaging (EPSI) datasets, with the goal of addressing the computational bottleneck of conventional spectral quantification methods in the clinical workflow. Materials and Methods This retrospective study included 89 short-TE whole-brain EPSI/GRAPPA scans from clinical trials for glioblastoma (Trial 1, May 2014-October 2018) and major-depressive-disorder (Trial 2, 2022- 2023). The training dataset included 685k spectra from 20 participants (60 scans) in Trial 1.
View Article and Find Full Text PDFHeliyon
January 2025
School of Public Health, University of Alberta, 11405 87 Ave NW, Edmonton, Alberta, T6G 1C9, Canada.
Background: Based on the socio-ecological model of health, socioeconomic policy is an important determinant of population health. Spending decisions by public health units (PHU) have been shown to be associated with population health outcomes. Some studies have found greater PHU spending to be associated with improved population health, while others report mixed findings, warranting further research.
View Article and Find Full Text PDFEndosc Ultrasound
December 2024
Center of Excellence for Stem Cell and Cell Therapy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Introduction: EUS-guided fine-needle organoid creation (EUS-FNO) from pancreatic cancer (PC) has been increasingly important for precision medicine. The cost for pancreatic organoid creation is substantial and close to 2000 USD/specimen in our institution, and the specimen has to be processed immediately after tissue acquisition so the more passes and specimens, the higher cost of organoid creation will incur. To date, no prospective comparison trial has answered how many needle passes of EUS-FNO needed for a successful organoid creation.
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