Quantitative Indices Extension - QIICR/ProjectIssuesAndWiki GitHub Wiki
Objective
Design a 3D Slicer extension for calculation of quantitative features within regions of interest.
Source code: https://github.com/QIICR/Slicer-QuantitativeIndicesExt
Specific Tasks
- Develop tests and documentation.
Quantitative Indices
- Mean
- Variance
- Minimum
- Maximum
- Volume
- RMS - root-mean-square of grayscale values in region of interest
- Peak - maximum average gray value that is calculated from a 1 cubic centimeter sphere placed within the region of interest
- 1st Quartile - 25th percentile grayscale value in region of interest
- Median - 50th percentile grayscale value in region of interest
- 3rd Quartile - 75th percentile grayscale value in region of interest
- Upper Adjacent - first gray value not greater than 1.5 times the interquartile range
- Quarter 1 Distribution - percent of gray values that fall within the first quarter of the grayscale range within the region of interest
- Quarter 2 Distribution - percent of gray values that fall within the second quarter of the grayscale range within the region of interest
- Quarter 3 Distribution - percent of gray values that fall within the third quarter of the grayscale range within the region of interest
- Quarter 4 Distribution - percent of gray values that fall within the last quarter of the grayscale range within the region of interest
- Total Lesion Glycolysis (TLG) - tumor volume X mean grayscale value (SUV images)
- Glycolysis Quarter 1 - lesion glycolysis calculated from the first quarter of the grayscale range within the region of interest (SUV images)
- Glycolysis Quarter 2 - lesion glycolysis calculated from the second quarter of the grayscale range within the region of interest (SUV images)
- Glycolysis Quarter 3 - lesion glycolysis calculated from the third quarter of the grayscale range within the region of interest (SUV images)
- Glycolysis Quarter 4 - lesion glycolysis calculated from the last quarter of the grayscale range within the region of interest (SUV images)
- SAM - standardized added metabolic activity. A background-corrected, partial volume independent version of TLG (SUV Images)
- SAM Background - intermediate value for calculation of SAM. Estimates local background around region of interest (SUV Images)
- TODO: add i-th percentile?
Codes that are used to encode the SUVbw ROI quantitative measurements
Code | Coding scheme designator | Code meaning | Flag used by CLI | Encoded in parameter file | Units |
---|---|---|---|---|---|
R-00317 | SRT | Mean | mean | Mean_s | g/ml |
C1711260 | UMLS | Variance | variance | Variance_s | (g/ml)^2 |
R-404FB | SRT | Minimum | min | Min_s | g/ml |
G-A437 | SRT | Maximum | max | Max_s | g/ml |
G-D705 | SRT | Volume | volume | Volume_s | ml |
C2347976 | UMLS | RMS | rms | RMS_s | g/ml |
250136 | 99PMP | Peak Value Within ROI | peak | Peak_s | g/ml |
R-00319 | SRT | Median | median | Median_s | g/ml |
250137 | 99PMP | 25th Percentile Value | quart1 | First_Quartile_s | g/ml |
250138 | 99PMP | 75th Percentile Value | quart3 | Third_Quartile_s | g/ml |
250139 | 99PMP | Upper Adjacent Value | adj | Upper_Adjacent_s | g/ml |
250140 | 99PMP | Percent Within First Quarter of Intensity Range | q1 | Q1_Distribution_s | % |
250141 | 99PMP | Percent Within Second Quarter of Intensity Range | q2 | Q2_Distribution_s | % |
250142 | 99PMP | Percent Within Third Quarter of Intensity Range | q3 | Q3_Distribution_s | % |
250143 | 99PMP | Percent Within Fourth Quarter of Intensity Range | q4 | Q4_Distribution_s | % |
250144 | 99PMP | Total Lesion Glycolysis (TLG) | tlg | TLG_s | g |
250145 | 99PMP | Glycolysis Within First Quarter of Intensity Range | gly1 | Glycolysis_Q1_s | g |
250146 | 99PMP | Glycolysis Within Second Quarter of Intensity Range | gly2 | Glycolysis_Q2_s | g |
250147 | 99PMP | Glycolysis Within Third Quarter of Intensity Range | gly3 | Glycolysis_Q3_s | g |
250148 | 99PMP | Glycolysis Within Fourth Quarter of Intensity Range | gly4 | Glycolysis_Q4_s | g |
250149 | 99PMP | Standardized Added Metabolic Activity (SAM) | sam | SAM_s | g |
250150 | 99PMP | Standardized Added Metabolic Activity (SAM) Background | sambg | SAM_Background_s | g/ml |
Also consider encoding measures computed by the following ITK filters:
- http://www.itk.org/Doxygen/html/classitk_1_1LabelStatisticsImageFilter.html
- http://www.itk.org/Doxygen/html/classitk_1_1LabelGeometryImageFilter.html
- http://www.itk.org/Doxygen/html/classitk_1_1ShapeLabelObject.html
Uptake Regions
- Primary tumor
- Lymph nodes
- Reference regions - used for normalization
- liver: spherical region
- cerebellum - region or the whole thing
- aortic arch (part of it, something where reader has confidence in, independently on the motion); may need to look at CT data to perform the measurement, but segmentation is done on PET
- in clinical practice opposite side can be used as reference (not used in Iowa project)
Codes for uptake regions:
Code | Coding scheme designator | Code meaning |
---|---|---|
T-62000 | SRT | Liver |
T-C4000 | SRT | Lymph node |
T-A6000 | SRT | Cerebellum |
T-42300 | SRT | Aortic arch |
M-8FFFF | SRT | Neoplasm |
Information we might want / need to encode:
- Reader information
- Site of the lesion/lymph node: primary cancer location is encoded in the database, but not the locations of lymph nodes
- Tool/method used for contouring
- Time needed for segmentation
- Iteration segmentation was done (each structure is segmented multiple times)
Contributors
- Ethan Ulrich
- Markus Van Tol
- Reinhard R. Beichel
- Andrey Fedorov
References
- Mertens J, Dobbeleir A, Ham H, D’Asseler Y, Goethals I, Van de Wiele C. Standardized added metabolic activity (SAM): a partial volume independent marker of total lesion glycolysis in liver metastases. Eur J Nucl Med Mol Imaging. 2012;39(9):1441–8 PDF (private folder of the QIICR Midas community - login required)
- Orlhac, F., Soussan, M., Maisonobe, J.-A., Garcia, C. a, Vanderlinden, B., & Buvat, I. (2014). Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. doi:10.2967/jnumed.113.129858 (http://www.ncbi.nlm.nih.gov/pubmed/24549286)
- Abd El-Hafez, Y. G., Moustafa, H. M., Khalil, H. F., Liao, C.-T., & Yen, T.-C. (2013). Total lesion glycolysis: a possible new prognostic parameter in oral cavity squamous cell carcinoma. Oral Oncology, 49(3), 261–8. doi:10.1016/j.oraloncology.2012.09.005