PATENT CLAIM ANALYSIS

Application Number: 15913152
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["435", "001100"]

Abstract:
A tissue graft for soft tissue repair or reconstruction comprising a sheet of a biopolymer-based matrix having a plurality of small perforations and a plurality of large perforations. The small perforations are sized to facilitate clotting and granulation tissue development within the perforations which, in turn, facilitates revascularization and cell repopulation in the patient. The large perforations are sized to reduce the occurrence of clotting and granulation tissue development within the perforations so that extravascular tissue fluids accumulating at the implant site can drain through the tissue graft. The large perforations enhance mammal tissue anchoring by permitting mammal tissue to compress into the perforations increasing mammal tissue contact area.

Claim (Index 9):
The tissue graft of  claim 1 , wherein the large perforations are sized to reduce the occurrence of fibrin provisional matrix formation and granulation tissue development within the perforations so that extravascular tissue fluids accumulating at an implant site in the mammal can readily drain through the tissue graft and be removed from the implant site in the perioperative and early postoperative period via surgical drains or negative pressure wound therapy.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 1.8254
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12506839', '12650902', '14836508', '14210111', '12348188']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6297303559032998
- 35 USC 102 Novelty (BERT): 0.4840415028760909
- Combined Prediction Score: 0.615161470600579
- Mean Citation Score: 166.704612
- Max Citation Score: 178.25616000000005
- Similarity Product: 129.16117598596577

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test