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Hormonal receptor positive human epidermal receptor 2 negative (HR+/HER2-) is the commonest molecular subtype of breast cancer (BC). Patients with HR+/HER2- BC may manifest clinically a late recurrence whose BC metastasizes 10-15 years post-operatively. We report one case who presented with pulmonary mass in upper lobe of lung and Horner syndrome 16 years after BC surgery. FDG PET/CT suggested pulmonary malignancy but could not differentiate between primary or metastatic cancer when invasive biopsy was quite risky. Novel 18F-FES PET/CT facilitated the non-invasive functional diagnosis of estrogen-receptor positive (ER+) pulmonary metastasis of BC, and the patient experienced partial response (PR) after CDK4/6 inhibitor and aromatase inhibitor as endocrine therapy. This article reviews the diagnosis and treatment process of this case, to provide guidance for non-invasive global evaluation of ER status among metastatic HR+/HER2- BC patients with 18F-FES PET/CT.

Transthyretin-related amyloid cardiomyopathy (ATTR-CM) is a disease caused by the depo-sition of insoluble amyloid fibers formed by the misfolding of transthyretin precursor protein in the intercellular space of cardiomyocytes. This lesion may lead to myocardial dysfunction, cogestive heart failure, and death.When diagnosed earlier, the patient can be treated with drugs as soon as possible to intervene in the progress of the disease, so as to effectively improve the patient's prognosis.99mtechnetium-pyrophosphate (99Tcm-PYP)single-photon emission computed tomography (SPECT) has been widely used in the imaging examination of cardiac amyloidosis (CA) in recent years. While achieving early non-invasive diagnosis, accurate pathological classification can be obtained through Perugini visual score analysis, semi-quantitative analysis of heart to contralateral lung (H/CL) ratio, and SPECT image analysis. This article presents the application, methods, and the precautions of 99Tcm-PYPSPECT in the diagnosis of ATTR-CM, aiming to provide clinical reference for the application of this technology.

Lateral movement of soil organic carbon (SOC) induced by soil erosion and runoff changes spatial distributions of SOC, and further changes the land‐atmosphere CO2 exchange and terrestrial carbon budget. However, current ecosystem models do not or only poorly integrate the process of SOC lateral movement and cannot simulate the impacts of soil erosion on the carbon cycle. This study integrated SOC erosion and deposition processes into a process‐based ecosystem model (i.e., Integrated BIosphere Simulator (IBIS)), and separately simulated the lateral movements of dissolved organic carbon (DOC) and particulate organic carbon (POC). The model was evaluated in three river basins in Northeast China that are dominated by cropland, forest, and grassland. The results showed that the model reproduced well the production, erosion, and deposition of DOC and POC. The annual SOC lateral movement (1.34–7.22 g C m−2 yr−1) induced by erosion in the three tested basins was 0.27%–1.45% of the annual net primary production. The model developed in this study has great implications for simulating the lateral movements of SOC in terrestrial ecosystems, which can improve model performance in projecting the terrestrial carbon budget. Plain Language Summary: Lateral movement of soil organic carbon (SOC) with soil erosion and runoff is an important process in estimating land carbon budget. However, the current ecosystem models are not or poorly integrated this process, and cannot simulate the impacts of lateral movement of SOC on carbon cycle. This study integrates SOC erosion and deposition processes into a process‐based ecosystem model (Integrated BIosphere Simulator (IBIS)), and separately simulates the lateral movements of dissolved organic carbon (DOC) and particulate organic carbon (POC). The model was evaluated at three river basins in Northeast China dominated by cropland, forest and grassland, respectively. The results showed the model can reproduce well the production, erosion, deposition of DOC and POC. The model developed in this study has great implications for simulating the lateral movements of SOC in terrestrial ecosystem, which can improve model performance on projecting terrestrial carbon budget. Key Points: Current ecosystem models inadequately depict the lateral movement of SOC, causing uncertainties in terrestrial carbon cycle modelingWe integrated SOC erosion and deposition into a process‐based ecosystem model and evaluated it in three Chinese river basinsModel simulations well represented observed data for the production, erosion, and deposition of organic carbon [ABSTRACT FROM AUTHOR]