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Transl Oncol
February 2025
State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:
Background: Accurate estimation of recurrence risk for cervical cancer plays a pivot role in making individualized treatment plans. We aimed to develop and externally validate an end-to-end deep learning model for predicting recurrence risk in cervical cancer patients following surgery by using multiparametric MRI images.
Methods: The clinicopathologic data and multiparametric MRI images of 406 cervical cancer patients from three institutions were collected.
Int J Pediatr Otorhinolaryngol
January 2025
Otorhinolaryngology Department, Faculty of Medicine, Kafrelsheikh University, Kafrelsheikh, Egypt.
Objectives: This study aimed to assess the ability of preoperative computed tomography (CT) to predict the crista fenestra (CF) type during cochlear implantation and correlate these types with intraoperative findings. This may allow for precise preoperative planning with better surgical outcomes.
Study Design: A prospective observational study.
Mol Clin Oncol
December 2024
Department of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
J Laryngol Otol
October 2024
Otorhinolaryngology Department, Faculty of Medicine, Kafrelsheikh University, Kafrelsheikh, Egypt.
Objective: This study aimed to assess the impact of the scutum on oval window accessibility during stapedotomy surgery. Radio-clinical correlation was applied to determine the impact.
Methods: This was a prospective observational case-series study that included 127 candidates for stapedotomy surgery.
J Inherit Metab Dis
September 2024
Neurology Department, Reference Center for Neurological Metabolic and Lysosomal Diseases, Pitié-Salpêtrière University Hospital, AP-HP Sorbonne University, Paris, France.
Cerebrotendinous xanthomatosis is a rare and treatable metabolic disorder related to the accumulation of cholestanol. This disorder is primarily associated with motor and cognitive impairments, although the latter has not been extensively characterized. The objectives of this work were to define the cognitive profile found in cerebrotendinous xanthomatosis patients, investigate the progression of cognitive impairment over time, and search for radio-clinical correlations.
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