v1.4.0
Added
- New "Identifying Tumor vs Normal Slides" section in digital pathology guide with two approaches:
- Structured DICOM tissue type via
primaryAnatomicStructureModifier_CodeMeaning(works across all SM collections) - TCGA barcode parsing via
ContainerIdentifier(TCGA collections only, catches metastatic edge cases)
- Structured DICOM tissue type via
- TCGA-BRCA worked examples showing tumor vs normal slide counts
- Documentation references to GDC TCGA barcode format and sample type codes
- Specimen preparation query examples: filtering by staining (H&E), embedding medium (FFPE vs frozen), and fixative, with note about array column syntax (
array_to_string,list_contains) - "Finding Pre-Computed Analysis Results" section: discovering derived datasets (nuclei segmentations, TIL maps) via
analysis_results_index, with example joining annotations back to source slides - Note about per-annotation measurements in DICOM ANN objects (extractable via highdicom after download), with link to microscopy_dicom_ann_intro tutorial
Changed
- Updated to idc-index 0.11.10 (adds
ContainerIdentifiercolumn tosm_index) - Updated
sm_indextable description to reflect newly available columns (container/slide ID, tissue type, anatomic structure, diagnosis)
Full Changelog: v1.3.1...v1.4.0