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Background/Objective: Follicular thyroid cancer without an intrathyroidal primary cancer is rare. We present a patient with multifocal pulmonary metastatic follicular thyroid cancer without apparent cancer within her thyroid. Case Report: A 44-year-old woman was referred to the thyroid cancer clinic via telemedicine for evaluation of intrapulmonary thyroid tissue. Her past medical history included Roux-en-Y gastric bypass and hysterectomy with bilateral oophorectomy. Six months prior, abdominal computed tomography (CT) showed incidental bilateral lung nodules. Chest CT demonstrated 4 solid left and 1 solid right lung nodules. Lung nodule core biopsy revealed benign thyroid tissue. Thyroid ultrasound showed bilateral subcentimeter anechoic nodules. Chest CT 6 months after initial CT demonstrated stable lung nodules. The levels of thyroid-stimulating hormone, serum thyroglobulin, and thyroglobulin antibody were 1.63 mIU/L (reference range, 0.3-5.5 mIU/L), 40.9 ng/mL (reference range, 0-35 ng/mL), and <1 IU/mL (reference range, <4), respectively. Positron emission tomography/CT showed fluorodeoxyglucose-avid lung lesions measuring 1.5, 1.1, and 2.2 cm and other subcentimeter pulmonary nodules. Repeat lung core biopsy showed thyroid tissue with microfollicular architecture, favoring metastatic follicular carcinoma with neuroblastoma-RAS gene (NRAS) mutation. Total thyroidectomy performed showed multinodular hyperplasia without thyroid cancer. Her postoperative radioiodine scan demonstrated bilateral iodine-avid pulmonary nodules, a serum thyroglobulin level of 179.8 ng/mL, a thyroid-stimulating hormone level of 151.3 mIU/L, and undetectable serum thyroglobulin antibody. She received 261 mCi of radioactive iodine. Fourteen months later, chest CT revealed decreased lung nodules and a serum thyroglobulin level of 0.7 ng/mL. Discussion: Approximately 2 cases of multifocal pulmonary follicular thyroid cancer without a primary source and no other site of metastasis have been reported. Conclusion: Pulmonary follicular thyroid cancer without a primary source and no other site of metastasis is extremely rare.
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4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system. While practical use is limited by spatial resolution and image noise, incorporation of trained super-resolution (SR) networks has potential to enhance image quality post-scan. However, these efforts have predominantly been restricted to narrowly defined cardiovascular domains, with limited exploration of how SR performance extends across the cardiovascular system; a task aggravated by contrasting hemodynamic conditions apparent across the cardiovasculature. The aim of our study was therefore to explore the generalizability of SR 4D Flow MRI using a combination of existing super-resolution base models, novel heterogeneous training sets, and dedicated ensemble learning techniques; the latter-most being effectively used for improved domain adaption in other domains or modalities, however, with no previous exploration in the setting of 4D Flow MRI. With synthetic training data generated across three disparate domains (cardiac, aortic, cerebrovascular), varying convolutional base and ensemble learners were evaluated as a function of domain and architecture, quantifying performance on both in-silico and acquired in-vivo data from the same three domains. Results show that both bagging and stacking ensembling enhance SR performance across domains, accurately predicting high-resolution velocities from low-resolution input data in-silico. Likewise, optimized networks successfully recover native resolution velocities from downsampled in-vivo data, as well as show qualitative potential in generating denoised SR-images from clinicallevel input data. In conclusion, our work presents a viable approach for generalized SR 4D Flow MRI, with the novel use of ensemble learning in the setting of advanced fullfield flow imaging extending utility across various clinical areas of interest.
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Background: Lifetime management in aortic stenosis (AS) can be facilitated by aortic root enlargement (ARE) to improve anatomy for future valve-in-valve (ViV) procedures. A mitral valve-sparing ARE technique ("Y-incision") and sinotubular junction (STJ) enlargement ("roof" patch aortotomy) allow upsizing by 3-4 valve sizes, but quantitative analysis of changes in root anatomy is lacking. Methods: Among 78 patients who underwent ARE by Y-incision technique (± roof aortotomy closure) we identified 45 patients with high-quality pre- and post-operative computed tomography angiography (CTA) scans to allow analysis of change in aortic root dimensions. Detailed measurements of the annulus/basilar ring and sinuses were performed by an expert imager on both pre- and post-operative CTAs. The basal ring was defined as the functional annulus when a bioprosthetic valve was present. Results: Average age was 65±11 years, the majority were female (29, 64%), and 9 (20%) had undergone prior aortic valve replacement (AVR). Valve upsizing was ≥3 sizes in 41 (91%). Post-operative mean basal ring diameter was larger compared to the native annular diameter (26.3 vs. 25.3 mm, P<0.01) and substantially larger than prior prosthetic valve in redo AVR (25.6 vs. 19.3 mm, P<0.001). Diameters of the sinuses at pre-operative computed tomography (CT) increased by +7.7±2.8 [right sinuses of Valsalva (R SVS)], +6.7±3.0 [left sinuses of Valsalva (L SVS)], and +6.6±2.9 mm [non-coronary sinuses of Valsalva (N SVS)]. Mean diameter of the STJ increased to 38.3±3.7 post-operative (+8.1±3.2 mm). Left main (LM) and right coronary artery (RCA) heights decreased by -6.3±3.3 and -3.7±3.4 mm respectively due to the supra-annular position of the valve, however, the post-operative valve-to-coronary (VTC) artery distances were 6.6±2.3 and 4.9±2.0 mm, respectively. Conclusion: The Y-incision root enlargement technique significantly enlarges the sinus and STJ diameters by 6-7 mm while preserving VTC distances despite upsizing by 3-4 valve sizes, resulting in post-operative anatomy that is favorable for future transcatheter aortic valve-in-surgical aortic valve (TAV-in-SAV).
