Magnetic Resonance-Based Radiomic Analysis of Radiofrequency Lesion Predicts Outcomes After Percutaneous Cordotomy: A Feasibility Study. Issue 6 (26th October 2019)
- Record Type:
- Journal Article
- Title:
- Magnetic Resonance-Based Radiomic Analysis of Radiofrequency Lesion Predicts Outcomes After Percutaneous Cordotomy: A Feasibility Study. Issue 6 (26th October 2019)
- Main Title:
- Magnetic Resonance-Based Radiomic Analysis of Radiofrequency Lesion Predicts Outcomes After Percutaneous Cordotomy: A Feasibility Study
- Authors:
- Vedantam, Aditya
Hassan, Islam
Kotrotsou, Aikaterini
Hassan, Ahmed
Zinn, Pascal O
Viswanathan, Ashwin
Colen, Rivka R - Abstract:
- Abstract: BACKGROUND: To date, there is limited data on evaluation of the cordotomy lesion and predicting clinical outcome. OBJECTIVE: To evaluate the utility of magnetic resonance (MR)-based radiomic analysis to quantify microstructural changes created by the cordotomy lesion and predict outcome in patients undergoing percutaneous cordotomy for medically refractory cancer pain. METHODS: This is a retrospective interpretation of prospectively acquired data in 10 patients (5 males, age range 43-76 yr) who underwent percutaneous computed tomography-guided high cervical cordotomy for medically refractory cancer pain between 2015 and 2016. All patients underwent magnetic resonance imaging (MRI) of the cordotomy lesion on postoperative day 1. After segmentation of T2-weighted images, 310 radiomic features were extracted. Pain outcomes were recorded on postoperative day 1 and day 7 using the visual analog scale. R software was used to build statistical models based on MRI radiomic features for prediction of pain outcomes. RESULTS: A total of 20 relevant radiomic features were identified using the maximum relevance minimum redundanc method. Radiomics predicted postoperative day 1 pain scores with an accuracy of 90% ( P = .046), 100% sensitivity, 75% specificity, 85.7% positive predictive value, and 100% negative predictive value. The radiomics model also predicted if the postoperative day 1 pain score was sustained on postoperative day 7 with an accuracy of 100% ( P = .028), 100%Abstract: BACKGROUND: To date, there is limited data on evaluation of the cordotomy lesion and predicting clinical outcome. OBJECTIVE: To evaluate the utility of magnetic resonance (MR)-based radiomic analysis to quantify microstructural changes created by the cordotomy lesion and predict outcome in patients undergoing percutaneous cordotomy for medically refractory cancer pain. METHODS: This is a retrospective interpretation of prospectively acquired data in 10 patients (5 males, age range 43-76 yr) who underwent percutaneous computed tomography-guided high cervical cordotomy for medically refractory cancer pain between 2015 and 2016. All patients underwent magnetic resonance imaging (MRI) of the cordotomy lesion on postoperative day 1. After segmentation of T2-weighted images, 310 radiomic features were extracted. Pain outcomes were recorded on postoperative day 1 and day 7 using the visual analog scale. R software was used to build statistical models based on MRI radiomic features for prediction of pain outcomes. RESULTS: A total of 20 relevant radiomic features were identified using the maximum relevance minimum redundanc method. Radiomics predicted postoperative day 1 pain scores with an accuracy of 90% ( P = .046), 100% sensitivity, 75% specificity, 85.7% positive predictive value, and 100% negative predictive value. The radiomics model also predicted if the postoperative day 1 pain score was sustained on postoperative day 7 with an accuracy of 100% ( P = .028), 100% sensitivity, 100% specificity, and 100% positive and negative predictive value. CONCLUSION: MR-based radiomic analysis of the cordotomy lesion was predictive of pain outcomes at 1 wk after percutaneous cordotomy for intractable cancer pain. … (more)
- Is Part Of:
- Operative neurosurgery. Volume 18:Issue 6(2020)
- Journal:
- Operative neurosurgery
- Issue:
- Volume 18:Issue 6(2020)
- Issue Display:
- Volume 18, Issue 6 (2020)
- Year:
- 2020
- Volume:
- 18
- Issue:
- 6
- Issue Sort Value:
- 2020-0018-0006-0000
- Page Start:
- 721
- Page End:
- 727
- Publication Date:
- 2019-10-26
- Subjects:
- Radiomics -- Cordotomy -- Outcome
Nervous system -- Surgery -- Periodicals
617.480590 - Journal URLs:
- https://academic.oup.com/ons/issue ↗
http://journals.lww.com/onsonline/pages/default.aspx ↗
http://journals.lww.com/pages/default.aspx ↗ - DOI:
- 10.1093/ons/opz288 ↗
- Languages:
- English
- ISSNs:
- 2332-4252
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6269.380200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20862.xml