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Running on Zero
Running on Zero
Update README with new Aeon inference parameters and add required CSV data files
Browse files- Document new sex and tissue site parameters for improved Aeon inference
- Update all CSV examples to include optional Sex and Tissue Site columns
- Add required data files: sex_original_to_idx.csv, tissue_site_original_to_idx.csv, paladin_model_map.csv
- These files are needed for tests and application functionality
- README.md +27 -11
- data/paladin_model_map.csv +133 -0
- data/sex_original_to_idx.csv +6 -0
- data/tissue_site_original_to_idx.csv +74 -0
README.md
CHANGED
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@@ -141,13 +141,15 @@ mosaic --slide-csv /path/to/your/wsi_list.csv --output-dir /path/to/output/direc
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```
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The CSV file should at least contain columns `Slide`, and `Site Type`.
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-
Optionally, it can also contain `Cancer Subtype`, `Segmentation Config`,
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- `Slide` should contain the full path to the WSI file.
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- `Site Type` should be one of `Primary`, or `Metastatic`.
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- `Cancer Subtype` should be the oncotree code for the cancer subtype.
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- `Segmentation Config` should be one of `Biopsy`, `Resection`, or `TCGA`.
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- `IHC Subtype` should be one of `HR+/HER2+`, `HR+/HER2-`, `HR-/HER2+`, or `HR-/HER2-`.
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See additional options with the help command. This command may take a few seconds to run:
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--output-dir /data/results \
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--site-type Primary \
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--cancer-subtype Unknown \
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--segmentation-config Resection
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```
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### Example 2: Process a single breast cancer slide with known IHC subtype
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--site-type Primary \
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--cancer-subtype BRCA \
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--ihc-subtype "HR+/HER2-" \
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--segmentation-config Biopsy
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```
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### Example 3: Process multiple slides from CSV
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Create a CSV file `slides.csv` with the following format:
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```csv
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Slide,Site Type,Cancer Subtype,Segmentation Config,IHC Subtype
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-
/data/slides/sample1.svs,Primary,Unknown,Resection,
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/data/slides/sample2.svs,Metastatic,LUAD,Biopsy,
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/data/slides/sample3.svs,Primary,BRCA,TCGA,HR+/HER2-
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```
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Then run:
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- `HR+/HER2-`
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- `HR-/HER2+`
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- `HR-/HER2-`
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### CSV Example
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```csv
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Slide,Site Type,Cancer Subtype,Segmentation Config,IHC Subtype
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/data/slides/lung1.svs,Primary,LUAD,Resection,
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/data/slides/breast1.svs,Primary,BRCA,Biopsy,HR+/HER2-
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/data/slides/unknown1.svs,Metastatic,Unknown,TCGA,
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```
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## Cancer Subtypes
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```
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The CSV file should at least contain columns `Slide`, and `Site Type`.
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Optionally, it can also contain `Cancer Subtype`, `Segmentation Config`, `IHC Subtype`, `Sex`, and `Tissue Site`.
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- `Slide` should contain the full path to the WSI file.
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- `Site Type` should be one of `Primary`, or `Metastatic`.
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- `Cancer Subtype` should be the oncotree code for the cancer subtype.
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- `Segmentation Config` should be one of `Biopsy`, `Resection`, or `TCGA`.
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- `IHC Subtype` should be one of `HR+/HER2+`, `HR+/HER2-`, `HR-/HER2+`, or `HR-/HER2-`.
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- `Sex` (optional): Patient sex for improved Aeon inference - one of `Male`, `Female`, or `Unknown`.
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- `Tissue Site` (optional): Primary tissue site for improved Aeon inference (e.g., `Lung`, `Breast`, `Colon`, `Liver`, `Brain`).
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See additional options with the help command. This command may take a few seconds to run:
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--output-dir /data/results \
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--site-type Primary \
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--cancer-subtype Unknown \
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--segmentation-config Resection \
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--sex Female \
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--tissue-site Lung
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```
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### Example 2: Process a single breast cancer slide with known IHC subtype
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--site-type Primary \
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--cancer-subtype BRCA \
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--ihc-subtype "HR+/HER2-" \
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--segmentation-config Biopsy \
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--sex Female \
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--tissue-site Breast
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```
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### Example 3: Process multiple slides from CSV
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Create a CSV file `slides.csv` with the following format:
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```csv
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Slide,Site Type,Cancer Subtype,Segmentation Config,IHC Subtype,Sex,Tissue Site
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/data/slides/sample1.svs,Primary,Unknown,Resection,,Female,Lung
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/data/slides/sample2.svs,Metastatic,LUAD,Biopsy,,,Liver
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/data/slides/sample3.svs,Primary,BRCA,TCGA,HR+/HER2-,Female,Breast
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```
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Then run:
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- `HR+/HER2-`
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- `HR-/HER2+`
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- `HR-/HER2-`
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- **Sex**: Patient sex for improved Aeon cancer subtype inference. One of `Male`, `Female`, or `Unknown`.
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- **Tissue Site**: Primary tissue site for improved Aeon cancer subtype inference. Examples include:
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- `Lung`
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- `Breast`
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- `Colon`
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- `Liver`
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- `Brain`
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- `Lymph Node`
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- `Bone`
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- See `data/tissue_site_original_to_idx.csv` for complete list of supported tissue sites.
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### CSV Example
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```csv
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Slide,Site Type,Cancer Subtype,Segmentation Config,IHC Subtype,Sex,Tissue Site
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/data/slides/lung1.svs,Primary,LUAD,Resection,,Male,Lung
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/data/slides/breast1.svs,Primary,BRCA,Biopsy,HR+/HER2-,Female,Breast
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/data/slides/unknown1.svs,Metastatic,Unknown,TCGA,,,Liver
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```
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## Cancer Subtypes
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data/paladin_model_map.csv
ADDED
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+
cancer_subtype,target_name,model_path
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AASTR,IDH1.R132H,data/paladin/xf9lhkpd.epoch=12-step=13.model.pkl
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+
AASTR,ATRX_TRUNC,data/paladin/nghmtwqq.epoch=12-step=13.model.pkl
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+
AASTR,ATRX_ONCOGENIC,data/paladin/j3pgp96i.epoch=14-step=15.model.pkl
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+
ADNOS,Del_17p,data/paladin/x474gdo3.epoch=16-step=51.model.pkl
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+
ASTR,TP53_hotspot,data/paladin/ed73u1uo.epoch=7-step=16.model.pkl
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+
ASTR,IDH1.R132H,data/paladin/7cxzdxfb.epoch=10-step=22.model.pkl
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+
ASTR,ATRX_ONCOGENIC,data/paladin/gq60pnxn.epoch=9-step=20.model.pkl
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+
ASTR,ATRX_TRUNC,data/paladin/0frn4tny.epoch=9-step=20.model.pkl
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+
ASTR,TP53_ONCOGENIC,data/paladin/ww18g380.epoch=17-step=36.model.pkl
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+
ASTR,IDH1_hotspot,data/paladin/uhfe7p8r.epoch=16-step=34.model.pkl
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+
ASTR,IDH1_ONCOGENIC,data/paladin/3ar8pu9i.epoch=16-step=34.model.pkl
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+
ASTR,RTK_RAS_PATHWAY,data/paladin/u91fy5r0.epoch=7-step=16.model.pkl
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| 14 |
+
BLCA,Del_6q,data/paladin/eqtpu2m2.epoch=6-step=91.model.pkl
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| 15 |
+
BLCA,TP53_PATHWAY,data/paladin/jaoqa2w3.epoch=7-step=104.model.pkl
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| 16 |
+
BLCA,RB1_TRUNC,data/paladin/v5yz6ndf.epoch=7-step=104.model.pkl
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| 17 |
+
BLCA,RB1_ONCOGENIC,data/paladin/54uvrvff.epoch=6-step=91.model.pkl
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+
BLCA,FGFR3_ONCOGENIC,data/paladin/jchzcaq5.epoch=4-step=65.model.pkl
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| 19 |
+
CCRCC,Del_14q,data/paladin/kr2wtldy.epoch=13-step=56.model.pkl
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| 20 |
+
COAD,NKX3-1_HomDel,data/paladin/cwh3r34l.epoch=12-step=104.model.pkl
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| 21 |
+
COAD,NKX3-1_ONCOGENIC,data/paladin/ji4ankxk.epoch=12-step=104.model.pkl
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| 22 |
+
COAD,Amp_10p,data/paladin/9lt8fu1i.epoch=17-step=144.model.pkl
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| 23 |
+
COAD,Del_5q,data/paladin/e3owivcb.epoch=11-step=96.model.pkl
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| 24 |
+
COAD,BRAF_hotspot,data/paladin/gi1mikgg.epoch=19-step=300.model.pkl
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+
COAD,Amp_13q,data/paladin/5fr6k4aq.epoch=2-step=45.model.pkl
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| 26 |
+
COAD,Amp_17q,data/paladin/gs0nknp6.epoch=17-step=270.model.pkl
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| 27 |
+
COAD,Del_18p,data/paladin/i9f8ace7.epoch=6-step=105.model.pkl
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| 28 |
+
COAD,SRC_Amp,data/paladin/nz6n2i3j.epoch=13-step=210.model.pkl
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| 29 |
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COAD,Del_18q,data/paladin/46zyn9jd.epoch=5-step=48.model.pkl
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COAD,ASXL1_Amp,data/paladin/jtjvnzv8.epoch=13-step=210.model.pkl
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| 31 |
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COAD,Del_21p,data/paladin/6m0qjb6j.epoch=16-step=255.model.pkl
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| 32 |
+
COAD,KRAS_hotspot,data/paladin/9y9vj6vn.epoch=5-step=90.model.pkl
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| 33 |
+
COAD,Del_21p,data/paladin/qih446gc.epoch=16-step=136.model.pkl
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| 34 |
+
COAD,DNMT3B_Amp,data/paladin/3cb7sra7.epoch=14-step=225.model.pkl
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| 35 |
+
COAD,SRC_ONCOGENIC,data/paladin/l4v77tuf.epoch=13-step=210.model.pkl
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| 36 |
+
COAD,Del_18q,data/paladin/5x3oo7bu.epoch=6-step=105.model.pkl
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| 37 |
+
COAD,Del_5q,data/paladin/aupfdkmm.epoch=8-step=135.model.pkl
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| 38 |
+
COAD,TOP1_Amp,data/paladin/llb4wrf5.epoch=17-step=270.model.pkl
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| 39 |
+
COAD,DNMT3B_ONCOGENIC,data/paladin/84q4qtj2.epoch=16-step=238.model.pkl
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| 40 |
+
COAD,Amp_20q,data/paladin/lvgc5hf4.epoch=9-step=80.model.pkl
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| 41 |
+
COAD,Amp_20q,data/paladin/3z7m1yvu.epoch=3-step=60.model.pkl
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| 42 |
+
COAD,BRAF.V600E,data/paladin/hszhjtww.epoch=19-step=300.model.pkl
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| 43 |
+
COAD,MSI_TYPE,data/paladin/7zkj9sa3.epoch=10-step=187.model.pkl
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| 44 |
+
COADREAD,MSI_TYPE,data/paladin/ef9g2g05.epoch=19-step=80.model.pkl
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| 45 |
+
GBM,TERT_ONCOGENIC,data/paladin/d2nctcc7.epoch=3-step=24.model.pkl
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| 46 |
+
GBM,EGFR_Amp,data/paladin/3ym64o1g.epoch=12-step=78.model.pkl
|
| 47 |
+
GBM,EGFR_SV,data/paladin/c0piw4ym.epoch=14-step=90.model.pkl
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| 48 |
+
GIST,EPIGENETIC_PATHWAY,data/paladin/imjphv1j.epoch=17-step=72.model.pkl
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| 49 |
+
GIST,Del_10q,data/paladin/9c1quhjf.epoch=14-step=30.model.pkl
|
| 50 |
+
GIST,Del_1p,data/paladin/711sspdl.epoch=7-step=32.model.pkl
|
| 51 |
+
GIST,CELL_CYCLE_PATHWAY,data/paladin/tbty48me.epoch=13-step=56.model.pkl
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| 52 |
+
GIST,CDKN2B_HomDel,data/paladin/bvo5yd3x.epoch=19-step=80.model.pkl
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| 53 |
+
GIST,CDKN2B_ONCOGENIC,data/paladin/hchh1kxy.epoch=19-step=80.model.pkl
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| 54 |
+
GIST,KIT_ONCOGENIC,data/paladin/5qv1l577.epoch=16-step=68.model.pkl
|
| 55 |
+
GIST,Del_9q,data/paladin/js5kwd8h.epoch=14-step=60.model.pkl
|
| 56 |
+
HCC,Del_8p,data/paladin/414aigjv.epoch=13-step=28.model.pkl
|
| 57 |
+
HGSOC,ZRSR2_HomDel,data/paladin/f49bti0v.epoch=18-step=152.model.pkl
|
| 58 |
+
HGSOC,ZRSR2_ONCOGENIC,data/paladin/w65puu1d.epoch=18-step=152.model.pkl
|
| 59 |
+
IDC,Del_14q,data/paladin/0332pa6g.epoch=4-step=80.model.pkl
|
| 60 |
+
IDC,NBN_Amp,data/paladin/3dckgf7z.epoch=19-step=320.model.pkl
|
| 61 |
+
IDC,Amp_10p,data/paladin/86dw519k.epoch=8-step=144.model.pkl
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| 62 |
+
IDC,TP53_PATHWAY,data/paladin/nnpm1j02.epoch=5-step=96.model.pkl
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| 63 |
+
IDC,Del_5q,data/paladin/qmd3pzkq.epoch=5-step=96.model.pkl
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| 64 |
+
IDC,TP53_ONCOGENIC,data/paladin/vreyb1om.epoch=6-step=112.model.pkl
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| 65 |
+
IDC,Amp_9p,data/paladin/03ag726b.epoch=18-step=304.model.pkl
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| 66 |
+
LUAD,ALK_ONCOGENIC,data/paladin/ovyxd2ob.epoch=19-step=520.model.pkl
|
| 67 |
+
LUAD,CDKN2A_HomDel,data/paladin/jjzra532.epoch=8-step=243.model.pkl
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| 68 |
+
LUAD,Del_8p,data/paladin/50r2qwax.epoch=4-step=135.model.pkl
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| 69 |
+
LUAD,ALK_fusion,data/paladin/9yhryzl3.epoch=19-step=540.model.pkl
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| 70 |
+
LUAD,EGFR.L858R,data/paladin/m5ryhg9a.epoch=10-step=297.model.pkl
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| 71 |
+
LUAD,Amp_14q,data/paladin/ngn9k9im.epoch=10-step=297.model.pkl
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| 72 |
+
LUAD,Del_10q,data/paladin/zb1foppw.epoch=15-step=432.model.pkl
|
| 73 |
+
LUAD,TP53_PATHWAY,data/paladin/1h5j6lcv.epoch=3-step=108.model.pkl
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| 74 |
+
LUAD,Del_19p,data/paladin/eqkh5ixz.epoch=7-step=216.model.pkl
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| 75 |
+
LUAD,STK11_TRUNC,data/paladin/k60w4up0.epoch=12-step=208.model.pkl
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| 76 |
+
LUAD,EGFR_hotspot,data/paladin/8chbkvr2.epoch=3-step=108.model.pkl
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| 77 |
+
LUAD,STK11_ONCOGENIC,data/paladin/0g4nz14y.epoch=6-step=112.model.pkl
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| 78 |
+
LUAD,Del_21q,data/paladin/f1vh8j1d.epoch=11-step=324.model.pkl
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| 79 |
+
LUAD,Amp_1q,data/paladin/nkik9rcn.epoch=6-step=189.model.pkl
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| 80 |
+
LUAD,NRF2_PATHWAY,data/paladin/yqlfdrvs.epoch=8-step=243.model.pkl
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+
LUAD,Del_21p,data/paladin/3szdaukp.epoch=16-step=459.model.pkl
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+
LUAD,STK11_ONCOGENIC,data/paladin/uanm5qpb.epoch=6-step=189.model.pkl
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| 83 |
+
LUSC,Del_10q,data/paladin/gbsuatlf.epoch=12-step=65.model.pkl
|
| 84 |
+
LUSC,Del_5q,data/paladin/otxp4y9q.epoch=15-step=80.model.pkl
|
| 85 |
+
LUSC,Del_3p,data/paladin/1gkyhld8.epoch=8-step=45.model.pkl
|
| 86 |
+
NBL,Del_Xp,data/paladin/7y3lp7vw.epoch=14-step=45.model.pkl
|
| 87 |
+
NBL,Del_Xq,data/paladin/ludvrs24.epoch=19-step=60.model.pkl
|
| 88 |
+
NBL,Amp_17q,data/paladin/qia84b7i.epoch=11-step=36.model.pkl
|
| 89 |
+
NBL,RTK_RAS_PATHWAY,data/paladin/wyd7ada7.epoch=0-step=2.model.pkl
|
| 90 |
+
NBL,MYCN_Amp,data/paladin/k88gw2io.epoch=14-step=45.model.pkl
|
| 91 |
+
NBL,MYCN_ONCOGENIC,data/paladin/sp7lpt88.epoch=14-step=45.model.pkl
|
| 92 |
+
NBL,MYC_PATHWAY,data/paladin/1onmwcqf.epoch=11-step=36.model.pkl
|
| 93 |
+
PAAD,Del_12p,data/paladin/cofs6tb2.epoch=14-step=210.model.pkl
|
| 94 |
+
PAAD,Del_15q,data/paladin/4366o7so.epoch=19-step=280.model.pkl
|
| 95 |
+
PAAD,MTAP_ONCOGENIC,data/paladin/h14fuggs.epoch=13-step=70.model.pkl
|
| 96 |
+
PAAD,CDKN2B_ONCOGENIC,data/paladin/c9onh7cc.epoch=5-step=54.model.pkl
|
| 97 |
+
PAAD,CDKN2B_HomDel,data/paladin/e6y1suye.epoch=5-step=54.model.pkl
|
| 98 |
+
PAAD,CDKN2A_HomDel,data/paladin/yci9dso2.epoch=5-step=54.model.pkl
|
| 99 |
+
PAAD,Del_21p,data/paladin/p3sgty9x.epoch=17-step=162.model.pkl
|
| 100 |
+
PANET,Amp_7q,data/paladin/8w0pcfqg.epoch=3-step=8.model.pkl
|
| 101 |
+
PANET,Amp_14q,data/paladin/kvqfszzv.epoch=11-step=24.model.pkl
|
| 102 |
+
PANET,Amp_17q,data/paladin/n05xwpfv.epoch=1-step=4.model.pkl
|
| 103 |
+
PANET,Del_2q,data/paladin/iway7gvk.epoch=19-step=40.model.pkl
|
| 104 |
+
PANET,Del_1q,data/paladin/nnv3biwl.epoch=14-step=30.model.pkl
|
| 105 |
+
PANET,Del_10p,data/paladin/ivcnueik.epoch=15-step=32.model.pkl
|
| 106 |
+
PANET,Del_3p,data/paladin/i18cwtml.epoch=10-step=22.model.pkl
|
| 107 |
+
PANET,Del_10q,data/paladin/lhdb8n6t.epoch=15-step=32.model.pkl
|
| 108 |
+
PANET,Del_2p,data/paladin/simlsmym.epoch=18-step=38.model.pkl
|
| 109 |
+
PANET,Del_3q,data/paladin/z9pxdil3.epoch=10-step=22.model.pkl
|
| 110 |
+
PRAD,Amp_11q,data/paladin/rlppqzob.epoch=19-step=300.model.pkl
|
| 111 |
+
PRAD,Del_15q,data/paladin/8y9cu8ti.epoch=5-step=90.model.pkl
|
| 112 |
+
PRAD,Amp_7q,data/paladin/4z9wd7oh.epoch=15-step=240.model.pkl
|
| 113 |
+
PRAD,SPOP_hotspot,data/paladin/tyqig7ov.epoch=14-step=225.model.pkl
|
| 114 |
+
SARCNOS,TP53_ONCOGENIC,data/paladin/xvpxs12a.epoch=12-step=39.model.pkl
|
| 115 |
+
SKCM,Del_10p,data/paladin/9dadxrr4.epoch=11-step=60.model.pkl
|
| 116 |
+
SKCM,Del_10q,data/paladin/f6l6c2v8.epoch=9-step=50.model.pkl
|
| 117 |
+
STAD,MSI_TYPE,data/paladin/kmi9hl2z.epoch=19-step=80.model.pkl
|
| 118 |
+
THPA,BRAF_hotspot,data/paladin/u0ec035p.epoch=13-step=28.model.pkl
|
| 119 |
+
UEC,ARID1A_ONCOGENIC,data/paladin/hrn4ehsm.epoch=11-step=108.model.pkl
|
| 120 |
+
UEC,Amp_10q,data/paladin/0kh0uesc.epoch=10-step=99.model.pkl
|
| 121 |
+
UEC,CTNNB1_ONCOGENIC,data/paladin/rmg2u8mw.epoch=12-step=26.model.pkl
|
| 122 |
+
UEC,CTNNB1_hotspot,data/paladin/0y5oa83k.epoch=13-step=28.model.pkl
|
| 123 |
+
UEC,KRAS_ONCOGENIC,data/paladin/wc3cv24o.epoch=12-step=117.model.pkl
|
| 124 |
+
UEC,Amp_10p,data/paladin/cpq494o0.epoch=18-step=171.model.pkl
|
| 125 |
+
UEC,TP53_hotspot,data/paladin/52dr57pb.epoch=14-step=135.model.pkl
|
| 126 |
+
UEC,TGF_BETA_PATHWAY,data/paladin/8uxv3vc8.epoch=17-step=162.model.pkl
|
| 127 |
+
UEC,Amp_8q,data/paladin/uzp4fgfa.epoch=14-step=135.model.pkl
|
| 128 |
+
UEC,Amp_1q,data/paladin/ce6wob99.epoch=14-step=135.model.pkl
|
| 129 |
+
UEC,MSI_TYPE,data/paladin/zrsfn6kz.epoch=13-step=126.model.pkl
|
| 130 |
+
UEC,CTNNB1_ONCOGENIC,data/paladin/lrfqme6d.epoch=11-step=108.model.pkl
|
| 131 |
+
UEC,CTNNB1_hotspot,data/paladin/hf3samzm.epoch=13-step=126.model.pkl
|
| 132 |
+
USC,Del_16q,data/paladin/eq6jer0f.epoch=9-step=30.model.pkl
|
| 133 |
+
UTUC,FGFR3_hotspot,data/paladin/qgajjknw.epoch=10-step=33.model.pkl
|
data/sex_original_to_idx.csv
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
idx,SEX
|
| 2 |
+
0,Male
|
| 3 |
+
0,MALE
|
| 4 |
+
1,Female
|
| 5 |
+
1,FEMALE
|
| 6 |
+
2,Unknown
|
data/tissue_site_original_to_idx.csv
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
idx,TISSUE_SITE
|
| 2 |
+
0,Lung
|
| 3 |
+
1,Liver
|
| 4 |
+
2,Lymph Node
|
| 5 |
+
2,Lymph node
|
| 6 |
+
2,"Lymph Node, Regional"
|
| 7 |
+
3,Breast
|
| 8 |
+
4,Colon
|
| 9 |
+
4,Sigmoid Colon
|
| 10 |
+
4,Ascending Colon
|
| 11 |
+
4,Cecum
|
| 12 |
+
4,Rectosigmoid Colon
|
| 13 |
+
4,Transverse Colon
|
| 14 |
+
4,Descending Colon
|
| 15 |
+
5,Brain
|
| 16 |
+
6,Bone
|
| 17 |
+
6,Iliac Bone
|
| 18 |
+
6,Spine
|
| 19 |
+
6,Femur
|
| 20 |
+
6,Rib
|
| 21 |
+
7,Pancreas
|
| 22 |
+
8,Not Applicable
|
| 23 |
+
8,Not available
|
| 24 |
+
9,Uterus
|
| 25 |
+
10,Prostate
|
| 26 |
+
11,Bladder
|
| 27 |
+
12,Soft Tissue
|
| 28 |
+
13,Ovary
|
| 29 |
+
14,Rectum
|
| 30 |
+
15,Kidney
|
| 31 |
+
16,Skin
|
| 32 |
+
17,Stomach
|
| 33 |
+
18,Pleura
|
| 34 |
+
19,Esophagus
|
| 35 |
+
20,Peritoneum
|
| 36 |
+
21,Omentum
|
| 37 |
+
22,Retroperitoneum
|
| 38 |
+
23,Pelvis
|
| 39 |
+
24,Adrenal Gland
|
| 40 |
+
24,Adrenal
|
| 41 |
+
25,Endometrium
|
| 42 |
+
26,Thyroid
|
| 43 |
+
27,Chest Wall
|
| 44 |
+
28,Abdomen
|
| 45 |
+
29,Small Bowel
|
| 46 |
+
29,Small Intestine
|
| 47 |
+
30,GE Junction
|
| 48 |
+
30,Gastroesophageal Junction
|
| 49 |
+
31,Cervix
|
| 50 |
+
32,Bile Duct
|
| 51 |
+
33,Neck
|
| 52 |
+
34,Mediastinum
|
| 53 |
+
35,Testis
|
| 54 |
+
36,Bowel
|
| 55 |
+
37,Eye
|
| 56 |
+
38,Thigh
|
| 57 |
+
39,Vagina
|
| 58 |
+
40,Pleural Fluid
|
| 59 |
+
41,Upper Tract
|
| 60 |
+
42,Axilla
|
| 61 |
+
43,Diaphragm
|
| 62 |
+
44,Gallbladder
|
| 63 |
+
45,Abdominal Wall
|
| 64 |
+
46,Appendix
|
| 65 |
+
47,Anus
|
| 66 |
+
48,Duodenum
|
| 67 |
+
49,Renal Pelvis
|
| 68 |
+
50,Tongue
|
| 69 |
+
51,Mesentery
|
| 70 |
+
52,Vulva
|
| 71 |
+
53,Oral Cavity
|
| 72 |
+
54,Fallopian tube
|
| 73 |
+
55,Epidural
|
| 74 |
+
56,Leg
|