AIMC Topic: Preoperative Care

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Probabilistic machine learning for the evaluation of presurgical language dominance.

Journal of neurosurgery
OBJECTIVE Providing a reliable assessment of language lateralization is an important task to be performed prior to neurosurgery in patients with epilepsy. Over the last decade, functional MRI (fMRI) has emerged as a useful noninvasive tool for langua...

Acute gastrointestinal toxicity and bowel bag dose-volume parameters for preoperative radiation therapy for retroperitoneal sarcoma.

Practical radiation oncology
PURPOSE: Acute gastrointestinal (GI) toxicity has been studied in GI and gynecological (GYN) cancers, with volume receiving 15 Gy (V15) <830 mL, V25 <650 mL, and V45 <195 mL identified as dose constraints for the peritoneal space (bowel bag [BB]). Th...

Label-free blood serum detection by using surface-enhanced Raman spectroscopy and support vector machine for the preoperative diagnosis of parotid gland tumors.

BMC cancer
BACKGROUND: It is difficult for the parotid gland neoplasms to make an accurate preoperative diagnosis due to the restriction of biopsy in the parotid gland neoplasms. The aim of this study is to apply the surface-enhanced Raman spectroscopy (SERS) m...

Effect of Tracheal Cuff Shape on Intracuff Pressure Change During Robot-Assisted Laparoscopic Surgery: The Tapered-Shaped Cuff Tube Versus the Cylindrical-Shaped Cuff Tube.

Journal of laparoendoscopic & advanced surgical techniques. Part A
BACKGROUND: Although the cuff of tracheal tubes can reduce airflow leakage and prevent aspiration, excessive intracuff pressure can cause tracheal mucosal injury. Robot-assisted laparoscopic surgery (RALS) can increase intracuff pressure by the Trend...

[Infection prevention check-in and infection prevention check-out to prevent nosocomial infections].

Zentralblatt fur Chirurgie
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of the proven anti-infective measures in form of the multi-barrier strategy or the so-called bundles. In daily practice it is important to follow the fixe...

Preoperative risk assessment of invasive endometrial cancer using MRI-based radiomics: a systematic review and meta-analysis.

Abdominal radiology (New York)
OBJECTIVE: Image-derived machine learning (ML) is a robust and growing field in diagnostic imaging systems for both clinicians and radiologists. Accurate preoperative radiological evaluation of the invasive ability of endometrial cancer (EC) can incr...