Background: Percutaneous ablation of the cervical spinothalamic tract (STT) remains a therapeutic remedy for intractable cancer pain. However, it is accompanied by the risk of collateral damage to essential spinal cord circuitry, including the corticospinal tract (CST). Recent studies describe threshold-based mapping of the CST with the objective of motor bundle preservation during intramedullary spinal cord and supratentorial surgery.
Objective: To assess the possibility that application of spinal cord mapping using intraoperative neuromonitoring in percutaneous cordotomy procedures may aid in minimizing iatrogenic motor tract injury.
Methods: We retrospectively reviewed the files of 11 patients who underwent percutaneous cervical cordotomy for intractable oncological pain. We performed quantitative electromyogram (EMG) recordings to stimulation of the ablation needle prior to the STT-ablative stage. We compared evoked motor and sensory electrical thresholds, and the electrical span between them as a reliable method to confirm safe electrode location inside the STT.
Results: Quantified EMG data were collected in 11 patients suffering from intractable cancer pain. The threshold range for evoking motor activity was 0.3 to 1.2 V. Stimulation artifacts were detected from trapezius muscles even at the lowest stimulation intensity, while thenar muscles were found to be maximally sensitive and specific. The minimal stimulation intensity difference between the motor and the sensory threshold, set as "Δ-threshold," was 0.26 V, with no new motor deficit at 3 days or 1 month postoperatively.
Conclusion: Selective STT ablation is an effective procedure for treating intractable pain. It can be aided by quantitative evoked EMG recordings, with tailored parameters and thresholds.
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http://dx.doi.org/10.1093/ons/opaa209 | DOI Listing |
BMC Cancer
January 2025
The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
Background: Chemotherapy-induced nausea and/or vomiting (CINV) is an intractable adverse effect of anticancer drugs. Although prophylactic use of fosaprepitant may be effective in reducing CINV, there is a lack of studies evaluating the application of fosaprepitant in real world.
Aims And Methods: This study prospectively observed the effectiveness and safety for the prophylaxis of CINV in a real-world clinical setting.
BMJ Case Rep
January 2025
Department of Laboratories, Philippine General Hospital, Manila, Philippines.
Synovial sarcoma is a rare malignant mesenchymal tumour typically found in the extremities, but it can also develop in the gastrointestinal tract, with the upper rectum being the most common site. We describe a case of a man in his 60s diagnosed with monophasic synovial sarcoma in the lower rectum, presenting with severe, intractable anal pain.
View Article and Find Full Text PDFSangyo Eiseigaku Zasshi
January 2025
Division of Occupational and Environmental Health, Department of Social Medicine, Shiga University of Medical Science.
Objectives: Assessing the risk of employee health problems according to firm characteristics (e.g., industry) can be used by companies to identify groups of workers with health problems and develop health-related policies.
View Article and Find Full Text PDFPurpose: In glioblastoma, the therapeutically intractable and resistant phenotypes can be derived from glioma stem cells, which often have different underlying mechanisms from non-stem glioma cells. Aberrant signaling across the EGFR-PTEN-AKT-mTOR pathways have been shown as common drivers of glioblastoma. Revealing the inter and intra-cellular heterogeneity within glioma stem cell populations in relations to signaling patterns through these pathways may be key to precision diagnostic and therapeutic targeting of these cells.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
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