This is a starter map, not a formal review. Its purpose is to define the first literature buckets OpenScar should track before a scoping review or manuscript is written.
Core question: how can scar appearance be captured, standardized, segmented, scored, and compared across time?
Seed topics:
- standardized scar photography
- before/after image comparability
- scar color, height, pliability, and vascularity assessment
- computer vision for scar segmentation
- patient-reported and observer-reported scar scales
- image quality bias in aesthetic and reconstructive outcomes
Starter search prompts:
scar assessment computer vision photography standardizationhypertrophic scar image analysis deep learningkeloid scar segmentation artificial intelligencebefore after photography bias plastic surgery
Core question: which clinical, anatomical, treatment, and follow-up variables help explain recurrence after keloid treatment?
Seed topics:
- recurrence after surgical excision
- adjuvant radiotherapy timing and dose
- injection-based treatment response
- anatomical site and tension
- prior recurrence history
- follow-up duration and recurrence definition
- machine learning for keloid recurrence risk
Starter search prompts:
keloid recurrence prediction machine learningkeloid surgery radiotherapy recurrence risk factorskeloid treatment response predictionhypertrophic scar recurrence clinical model
Core question: how can fibroblast states, immune cells, vascular niches, and extracellular matrix programs explain scar phenotype and treatment response?
Seed topics:
- keloid single-cell RNA sequencing
- fibroblast heterogeneity in scar and fibrosis
- spatial transcriptomics of skin wound healing
- myofibroblast and extracellular matrix programs
- immune microenvironment in keloids
- ligand-receptor interactions in scar tissue
Starter search prompts:
keloid single cell RNA sequencing fibroblasthypertrophic scar spatial transcriptomicsskin wound healing single cell atlas fibrosiskeloid immune microenvironment fibroblast interaction
Core question: how should OpenScar define and measure response when patients receive multimodal and repeated treatments?
Seed topics:
- corticosteroid injection response
- 5-fluorouracil injection response
- laser and energy-based scar therapy
- silicone, pressure, and conservative care
- surgery plus adjuvant therapy
- multimodal treatment sequencing
- patient-reported pain, itch, satisfaction, and function
Starter search prompts:
keloid corticosteroid injection response outcome5-fluorouracil keloid treatment responselaser treatment hypertrophic scar outcome scalescar treatment patient reported outcome POSAS
Core question: what can scar research borrow from AI-native registries, digital twin language, and longitudinal phenotype modeling without overstating clinical readiness?
Seed topics:
- longitudinal clinical registry design
- de-identified image registry governance
- digital phenotype standards
- plastic surgery outcomes databases
- human-in-the-loop clinical AI
- clinical decision support safety boundaries
Starter search prompts:
clinical image registry de-identification plastic surgerylongitudinal phenotype modeling clinical registryhuman in the loop clinical AI safetyplastic surgery outcomes registry artificial intelligence
- Track study type, cohort size, data modality, outcome definition, follow-up duration, and external validation status.
- Separate clinical evidence from speculative model claims.
- Do not cite a paper in public materials until the source has been checked directly.
- Treat recurrence definitions as a major source of heterogeneity.