Radiomics model for preoperative prediction of 3-year survival-based CT image biomarkers in esophageal cancer

Wang, Junxiu; Yu, Xiaoqing; Zeng, Jianchao; Li, Hongwei; Qin, Peng

doi:10.1007/s00405-022-07510-8

Cited by 4 publications

(1 citation statement)

References 49 publications

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“…Statistical analysis is then carried out to obtain diagnostic, predictive and prognostic models by machine learning. Although there are emerging studies concerning radiomics in other malignancies [135][136][137][138][139][140][141], so far, there is no literature on the use of this technique in the field of small bowel NET. The use of radiomics and artificial intelligence could be promising in the field of small bowel NET for a more accurate diagnosis, differentiation, management and assessment of response to treatment.…”

Section: Conclusion and Future Directionmentioning

confidence: 99%

Small bowel neuroendocrine tumours – casting the net wide

Zammit

Sidhu

2023

Current Opinion in Gastroenterology

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Purpose of review Our aim is to provide an overview of small bowel neuroendocrine tumours (NETs), clinical presentation, diagnosis algorithm and management options. We also highlight the latest evidence on management and suggest areas for future research. Recent findings Dodecanetetraacetic acid (DOTATATE) scan can detect NETs with an improved sensitivity than when compared with an Octreotide scan. It is complimentary to small bowel endoscopy that provides mucosal views and allows the delineation of small lesions undetectable on imaging. Surgical resection is the best management modality even in metastatic disease. Prognosis can be improved with the administration of somatostatin analogues and Evarolimus as second-line therapies. Summary NETs are heterogenous tumours affecting most commonly the distal small bowel as single or multiple lesions. Their secretary behaviour can lead to symptoms, most commonly diarrhoea and weight loss. Metastases to the liver are associated with carcinoid syndrome.

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