دورية أكاديمية

A method for predicting the outcomes of combined pharmacologic and deep brain stimulation therapy for Parkinson's disease.

التفاصيل البيبلوغرافية
العنوان: A method for predicting the outcomes of combined pharmacologic and deep brain stimulation therapy for Parkinson's disease.
المؤلفون: Shamir RR, Dolbert T, Noecker AM, Frankemolle AM, Walter BL, McIntyre CC
المصدر: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2014; Vol. 17 (Pt 2), pp. 188-95.
نوع المنشور: Case Reports; Journal Article; Research Support, N.I.H., Extramural
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 101249582 Publication Model: Print Cited Medium: Print NLM ISO Abbreviation: Med Image Comput Comput Assist Interv Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin ; New York : Springer, c1998-
مواضيع طبية MeSH: Brain/*pathology , Deep Brain Stimulation/*methods , Image Interpretation, Computer-Assisted/*methods , Levodopa/*administration & dosage , Magnetic Resonance Imaging/*methods , Parkinson Disease/*diagnosis , Parkinson Disease/*therapy, Aged ; Antiparkinson Agents/administration & dosage ; Brain/drug effects ; Combined Modality Therapy/methods ; Female ; Humans ; Imaging, Three-Dimensional/methods ; Male ; Middle Aged ; Outcome Assessment, Health Care/methods ; Prognosis ; Reproducibility of Results ; Sensitivity and Specificity ; Treatment Outcome
مستخلص: Deep brain stimulation (DBS) is an established therapy for the management of advanced Parkinson's disease (PD). However, the coupled adjustment of pharmacologic therapy and stimulation parameter settings is a time-consuming process and treatment outcomes are not always optimal. In this study, we develop a linear function that relates the DBS parameters, the levodopa dosage, and patient-specific preoperative clinical data with the actual treatment motor outcomes. To this end, we incorporate image-based patient-specific computer models of the volume of tissue activated by DBS in a multilinear regression analysis (6 PD patients; 60 follow up visits). The resulting predictor function was highly correlated with the actual motor outcomes (r = 0.76; p < 0.05). These results demonstrate that the outcomes of a combined pharmacologic-DBS therapy can be predicted and may facilitate patient-specific treatment optimization for maximal benefits and minimal adverse effects.
معلومات مُعتمدة: R01 NS047388 United States NS NINDS NIH HHS
المشرفين على المادة: 0 (Antiparkinson Agents)
46627O600J (Levodopa)
تواريخ الأحداث: Date Created: 20141209 Date Completed: 20150108 Latest Revision: 20230108
رمز التحديث: 20231215
DOI: 10.1007/978-3-319-10470-6_24
PMID: 25485378
قاعدة البيانات: MEDLINE
الوصف
DOI:10.1007/978-3-319-10470-6_24