treatment response evaluation
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Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1770
Author(s):  
Luca Deplano ◽  
Matteo Piga ◽  
Michele Porcu ◽  
Alessandro Stecco ◽  
Jasjit S. Suri ◽  
...  

Whole-body magnetic resonance imaging is constantly gaining more importance in rheumatology, particularly for what concerns the diagnosis, follow-up, and treatment response evaluation. Initially applied principally for the study of ankylosing spondylitis, in the last years, its use has been extended to several other rheumatic diseases. Particularly in the pediatric population, WB-MRI is rapidly becoming the gold-standard technique for the diagnosis and follow-up of both chronic recurrent multifocal osteomyelitis and juvenile spondyloarthritis. In this review, we analyze the benefits and limits of this technique as well as possible future applications.


Author(s):  
Paolo Spinnato ◽  
Michèle Kind ◽  
François Le Loarer ◽  
Giuseppe Bianchi ◽  
Marco Colangeli ◽  
...  

2021 ◽  
Vol 7 (2) ◽  
pp. 241-245
Author(s):  
Nalan Alan Selçuk ◽  
Emre Demirci ◽  
Levent Kabasakal

Author(s):  
Jing-E. Zhu ◽  
Hui-Li Zhang ◽  
Hui-Xiong Xu ◽  
Song-Yuan Yu

Hyperthyroidism is a common disease mainly manifested by hyperexcitability of multiple systems and hypermetabolism. Currently, antithyroid drugs (ATDs), radioiodine therapy (RIT), and surgery are mainly used in the clinical treatment for primary hyperthyroidism. We reported a case of a 28-year-old female who received a novel treatment for primary hyperthyroidism. This patient had poor control of thyroid function while taking ATD, and her oral Methimazole (MMI) dose varied repeatedly between 20 mg qd and 15 mg qd, failing to maintain a stable status. To minimize the possible complication and to achieve drug reduction or withdrawal, she refused RIT and surgery and showed up in our department. The patient, diagnosed with Graves’ disease (GD) and met the surgical indication after systematic clinical evaluation, was subject to ultrasound-guided percutaneous microwave ablation (MWA) of the partial thyroid gland with continuous oral administration of 20 mg qd MMI. The post-ablation condition was stable and the patient was discharged 2 days after the operation. Thyroid ultrasound and serum thyroid function test were examined regularly after ablation and the MMI dosage was gradually reduced according to the results of the biochemical examination. Five weeks after the operation, the patient completely discontinued the medication. Ultrasound-guided percutaneous microwave ablation is minimally invasive, safe, and effective, and has potential to be an alternative treatment besides the 3 classical treatments of hyperthyroidism.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Cheng Jin ◽  
Heng Yu ◽  
Jia Ke ◽  
Peirong Ding ◽  
Yongju Yi ◽  
...  

AbstractRadiographic imaging is routinely used to evaluate treatment response in solid tumors. Current imaging response metrics do not reliably predict the underlying biological response. Here, we present a multi-task deep learning approach that allows simultaneous tumor segmentation and response prediction. We design two Siamese subnetworks that are joined at multiple layers, which enables integration of multi-scale feature representations and in-depth comparison of pre-treatment and post-treatment images. The network is trained using 2568 magnetic resonance imaging scans of 321 rectal cancer patients for predicting pathologic complete response after neoadjuvant chemoradiotherapy. In multi-institution validation, the imaging-based model achieves AUC of 0.95 (95% confidence interval: 0.91–0.98) and 0.92 (0.87–0.96) in two independent cohorts of 160 and 141 patients, respectively. When combined with blood-based tumor markers, the integrated model further improves prediction accuracy with AUC 0.97 (0.93–0.99). Our approach to capturing dynamic information in longitudinal images may be broadly used for screening, treatment response evaluation, disease monitoring, and surveillance.


Author(s):  
Guangyao Wu ◽  
Arthur Jochems ◽  
Turkey Refaee ◽  
Abdalla Ibrahim ◽  
Chenggong Yan ◽  
...  

Abstract Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. Methods Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form “Medomics.”


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Benjamin Koa ◽  
Austin J. Borja ◽  
Mahmoud Aly ◽  
Sayuri Padmanabhan ◽  
Joseph Tran ◽  
...  

AbstractCastleman disease (CD) describes a group of rare hematologic conditions involving lymphadenopathy with characteristic histopathology and a spectrum of clinical abnormalities. CD is divided into localized or unicentric CD (UCD) and multicentric CD (MCD) by imaging. MCD is further divided based on etiological driver into human herpesvirus-8-associated MCD, POEMS-associated MCD, and idiopathic MCD. There is notable heterogeneity across MCD, but increased level of pro-inflammatory cytokines, particularly interleukin-6, is an established disease driver in a portion of patients. FDG-PET/CT can help determine UCD versus MCD, evaluate for neoplastic conditions that can mimic MCD clinico-pathologically, and monitor therapy responses. CD requires more robust characterization, earlier diagnosis, and an accurate tool for both monitoring and treatment response evaluation; FDG-PET/CT is particularly suited for this. Moving forward, future prospective studies should further characterize the use of FDG-PET/CT in CD and specifically explore the utility of global disease assessment and dual time point imaging.Trial registration ClinicalTrials.gov, NCT02817997, Registered 29 June 2016, https://clinicaltrials.gov/ct2/show/NCT02817997


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