Matches in SemOpenAlex for { <https://semopenalex.org/work/W2991276997> ?p ?o ?g. }
- W2991276997 endingPage "335" @default.
- W2991276997 startingPage "335" @default.
- W2991276997 abstract "In Parkinson’s disease (PD), there is a reduction of neuromelanin (NM) in the substantia nigra (SN). Manual quantification of the NM volume in the SN is unpractical and time-consuming; therefore, we aimed to quantify NM in the SN with a novel semi-automatic segmentation method. Twenty patients with PD and twelve healthy subjects (HC) were included in this study. T1-weighted spectral pre-saturation with inversion recovery (SPIR) images were acquired on a 3T scanner. Manual and semi-automatic atlas-free local statistics signature-based segmentations measured the surface and volume of SN, respectively. Midbrain volume (MV) was calculated to normalize the data. Receiver operating characteristic (ROC) analysis was performed to determine the sensitivity and specificity of both methods. PD patients had significantly lower SN mean surface (37.7 ± 8.0 vs. 56.9 ± 6.6 mm2) and volume (235.1 ± 45.4 vs. 382.9 ± 100.5 mm3) than HC. After normalization with MV, the difference remained significant. For surface, sensitivity and specificity were 91.7 and 95 percent, respectively. For volume, sensitivity and specificity were 91.7 and 90 percent, respectively. Manual and semi-automatic segmentation methods of the SN reliably distinguished between PD patients and HC. ROC analysis shows the high sensitivity and specificity of both methods." @default.
- W2991276997 created "2019-12-05" @default.
- W2991276997 creator A5060783717 @default.
- W2991276997 creator A5070028463 @default.
- W2991276997 creator A5077341431 @default.
- W2991276997 creator A5090272913 @default.
- W2991276997 date "2019-11-22" @default.
- W2991276997 modified "2023-10-18" @default.
- W2991276997 title "Semi-Automatic Signature-Based Segmentation Method for Quantification of Neuromelanin in Substantia Nigra" @default.
- W2991276997 cites W1937882124 @default.
- W2991276997 cites W1966748491 @default.
- W2991276997 cites W1969044084 @default.
- W2991276997 cites W1971287979 @default.
- W2991276997 cites W1979447612 @default.
- W2991276997 cites W2004293194 @default.
- W2991276997 cites W2005582119 @default.
- W2991276997 cites W2006858531 @default.
- W2991276997 cites W2014969622 @default.
- W2991276997 cites W2017322846 @default.
- W2991276997 cites W2054121399 @default.
- W2991276997 cites W2061388101 @default.
- W2991276997 cites W2073760242 @default.
- W2991276997 cites W2078833014 @default.
- W2991276997 cites W2086361121 @default.
- W2991276997 cites W2110208125 @default.
- W2991276997 cites W2110437310 @default.
- W2991276997 cites W2113319997 @default.
- W2991276997 cites W2121369614 @default.
- W2991276997 cites W2123714584 @default.
- W2991276997 cites W2137651371 @default.
- W2991276997 cites W2142872374 @default.
- W2991276997 cites W2151130155 @default.
- W2991276997 cites W2151491455 @default.
- W2991276997 cites W2151721316 @default.
- W2991276997 cites W2156179625 @default.
- W2991276997 cites W2161955253 @default.
- W2991276997 cites W2165824166 @default.
- W2991276997 cites W2168525520 @default.
- W2991276997 cites W2169587139 @default.
- W2991276997 cites W2171038383 @default.
- W2991276997 cites W2179965730 @default.
- W2991276997 cites W2261476050 @default.
- W2991276997 cites W2281923782 @default.
- W2991276997 cites W2492769849 @default.
- W2991276997 cites W2516289434 @default.
- W2991276997 cites W2520778045 @default.
- W2991276997 cites W2555911741 @default.
- W2991276997 cites W2565860254 @default.
- W2991276997 cites W2600025798 @default.
- W2991276997 cites W2725800822 @default.
- W2991276997 cites W2738204471 @default.
- W2991276997 cites W2793880696 @default.
- W2991276997 cites W2793910887 @default.
- W2991276997 cites W2797850641 @default.
- W2991276997 cites W2804901991 @default.
- W2991276997 cites W2806506751 @default.
- W2991276997 cites W2809129539 @default.
- W2991276997 cites W2809954513 @default.
- W2991276997 cites W2916497546 @default.
- W2991276997 cites W2946928246 @default.
- W2991276997 doi "https://doi.org/10.3390/brainsci9120335" @default.
- W2991276997 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6956028" @default.
- W2991276997 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31766668" @default.
- W2991276997 hasPublicationYear "2019" @default.
- W2991276997 type Work @default.
- W2991276997 sameAs 2991276997 @default.
- W2991276997 citedByCount "6" @default.
- W2991276997 countsByYear W29912769972020 @default.
- W2991276997 countsByYear W29912769972021 @default.
- W2991276997 countsByYear W29912769972022 @default.
- W2991276997 countsByYear W29912769972023 @default.
- W2991276997 crossrefType "journal-article" @default.
- W2991276997 hasAuthorship W2991276997A5060783717 @default.
- W2991276997 hasAuthorship W2991276997A5070028463 @default.
- W2991276997 hasAuthorship W2991276997A5077341431 @default.
- W2991276997 hasAuthorship W2991276997A5090272913 @default.
- W2991276997 hasBestOaLocation W29912769971 @default.
- W2991276997 hasConcept C126322002 @default.
- W2991276997 hasConcept C136886441 @default.
- W2991276997 hasConcept C142724271 @default.
- W2991276997 hasConcept C144024400 @default.
- W2991276997 hasConcept C154945302 @default.
- W2991276997 hasConcept C185592680 @default.
- W2991276997 hasConcept C19165224 @default.
- W2991276997 hasConcept C2779134260 @default.
- W2991276997 hasConcept C2779734285 @default.
- W2991276997 hasConcept C2780938664 @default.
- W2991276997 hasConcept C2989005 @default.
- W2991276997 hasConcept C41008148 @default.
- W2991276997 hasConcept C43310041 @default.
- W2991276997 hasConcept C529278444 @default.
- W2991276997 hasConcept C552161191 @default.
- W2991276997 hasConcept C58471807 @default.
- W2991276997 hasConcept C71924100 @default.
- W2991276997 hasConcept C89600930 @default.
- W2991276997 hasConceptScore W2991276997C126322002 @default.
- W2991276997 hasConceptScore W2991276997C136886441 @default.
- W2991276997 hasConceptScore W2991276997C142724271 @default.