{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:42:52Z","timestamp":1792806172434,"version":"4.5.0"},"reference-count":13,"publisher":"Journal of Neurosurgery Publishing Group (JNSPG)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,1]]},"abstract":"<jats:sec>\n                    <jats:title>OBJECTIVE<\/jats:title>\n                    <jats:p>\n                      Sufficient thermal increase capable of generating thermocoagulation is indispensable for an effective clinical outcome in patients undergoing magnetic resonance\u2013guided focused ultrasound (MRgFUS). The skull density ratio (SDR) is one of the most dominant predictors of thermal increase prior to treatment. However, users currently rely only on the average SDR value (SDR\n                      <jats:sub>mean<\/jats:sub>\n                      ) as a screening criterion, although some patients with low SDR\n                      <jats:sub>mean<\/jats:sub>\n                      values can achieve sufficient thermal increase. The present study aimed to examine the numerical distribution of SDR values across 1024 elements to identify more precise predictors of thermal increase during MRgFUS.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>The authors retrospectively analyzed the correlations between the skull parameters and the maximum temperature achieved during unilateral ventral intermediate nucleus thalamotomy with MRgFUS in a cohort of 55 patients. In addition, the numerical distribution of SDR values was quantified across 1024 elements by using the skewness, kurtosis, entropy, and uniformity of the SDR histogram. Next, the authors evaluated the correlation between the aforementioned indices and a peak temperature &gt; 55\u00b0C by using univariate and multivariate logistic regression analyses. Receiver operating characteristic curve analysis was performed to compare the predictive ability of the indices. The diagnostic performance of significant factors was also assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      The SDR skewness (SDR\n                      <jats:sub>skewness<\/jats:sub>\n                      ) was identified as a significant predictor of thermal increase in the univariate and multivariate logistic regression analyses (p &lt; 0.001, p = 0.013). Moreover, the receiver operating characteristic curve analysis indicated that the SDR\n                      <jats:sub>skewness<\/jats:sub>\n                      exhibited a better predictive ability than the SDR\n                      <jats:sub>mean<\/jats:sub>\n                      , with area under the curve values of 0.847 and 0.784, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>\n                      The SDR\n                      <jats:sub>skewness<\/jats:sub>\n                      is a more accurate predictor of thermal increase than the conventional SDR\n                      <jats:sub>mean<\/jats:sub>\n                      . The authors suggest setting the SDR\n                      <jats:sub>skewness<\/jats:sub>\n                      cutoff value to 0.68. SDR\n                      <jats:sub>skewness<\/jats:sub>\n                      may allow for the inclusion of treatable patients with essential tremor who would have been screened out based on the SDR\n                      <jats:sub>mean<\/jats:sub>\n                      exclusion criterion.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3171\/2021.5.jns21669","type":"journal-article","created":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T04:48:43Z","timestamp":1634273323000},"page":"1381-1386","source":"Crossref","is-referenced-by-count":7,"title":["Predictors of thermal increase in magnetic resonance\u2013guided focused ultrasound treatment for essential tremor: histogram analysis of skull density ratio values for 1024 elements"],"prefix":"10.3171","volume":"136","author":[{"given":"Ken","family":"Iijima","sequence":"first","affiliation":[{"name":"Department of Diagnostic Radiology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hajime","family":"Yokota","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toshio","family":"Yamaguchi","sequence":"additional","affiliation":[{"name":"Research Institute for Diagnostic Radiology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masayuki","family":"Nakano","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takahiro","family":"Ouchi","sequence":"additional","affiliation":[{"name":"Department of Neurology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Futaba","family":"Maki","sequence":"additional","affiliation":[{"name":"Department of Neurology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahito","family":"Takasaki","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuhiro","family":"Shimizu","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroki","family":"Hori","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hirokazu","family":"Iwamuro","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Juntendo University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinichi","family":"Sasanuma","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazuo","family":"Watanabe","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Shin-Yurigaoka General Hospital, Kawasaki, Kanagawa;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takashi","family":"Uno","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba;"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1754","reference":[{"issue":"1","key":"b1","series-title":"J Ther Ultrasound","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s40349-016-0049-8","article-title":"Incisionless transcranial MR-guided focused ultrasound in essential tremor: cerebellothalamic tractotomy","volume":"4","author":"Gallay MN","year":"2016","unstructured":"Gallay MN, Moser D, Rossi F, Pourtehrani P, Magara AE, Kowalski M,  Incisionless transcranial MR-guided focused ultrasound in essential tremor: cerebellothalamic tractotomy. 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