AI + DECT · Opportunistic QCT

Opportunistic CT Bone Mineral Density (mg/cm³)

Turning routine CT into comprehensive bone health assessment through dual-energy physics and machine learning.

Opportunistic screening

Use existing CT exams to detect osteopenia/osteoporosis with volumetric BMD.

DECT material

Voxel-wise separation of bone, water, and fat for calibrated mg/cm³.

Clinic-ready outputs

Site-specific results, guideline categories, longitudinal comparisons.

Executive Summary

Opportunistic CT screening is a paradigm shift in osteoporosis detection, enabling bone mineral density (BMD) assessment during scans acquired for other clinical indications—no extra radiation, no extra cost, no extra appointments. Recent studies show 76–113% higher detection rates and >$2.5B potential annual savings in the U.S.

46.4%

Osteoporosis detection with QCT vs 17.1% with DXA

56%

Vertebral fractures missed by DXA

0.997

AUC for osteoporosis detection

$16,430

ICER per QALY (cost-effective)

Scientific Foundations of Opportunistic Screening

The underdiagnosis problem

Osteoporosis affects 200+ million people globally, leading to 1.66 million hip fractures annually. Despite DXA availability, about two-thirds of eligible patients are never assessed. Undiagnosed vertebral fractures cut 4-year survival from 60% to 30% in adults ≥75.

Why QCT

True volumetric measurement

vBMD in mg/cm³; 3D trabecular focus; independent of bone size.

Trabecular vs cortical

Compartment distinction; trabecular bone is more metabolically sensitive and predicts fractures better.

Fewer degenerative artefacts

Avoids DXA overestimation from osteophytes, endplate sclerosis, aortic calcification.

DECT physics

Two energy spectra enable material decomposition (bone/water/fat) with vendor-specific coefficients, phantom-anchored linearity, and contrast robustness.

Clinical Evidence & Validation

Fracture prediction

Opportunistic QCT predicts incident vertebral fractures better than DXA (AUC 0.84 vs 0.67); >56% of incident fracture patients were classified non-osteoporotic by DXA.

BMDNow quantitative CT bone mineral density analysis showing AI-powered spine and hip segmentation with color-coded trabecular BMD mapping in mg/cm³ for opportunistic osteoporosis detection with superior AUC 0.84 vs DXA 0.67
BMDNow's AI-powered QCT analysis demonstrates superior fracture prediction (AUC 0.84) compared to standard DXA (0.67), with automated vertebral and hip segmentation providing calibrated volumetric BMD measurements for opportunistic osteoporosis screening.
ParameterOpportunistic QCTStandard DXAQCT Advantage
Osteoporosis detection rate46.4%17.1%+171%
AUC for fracture prediction0.840.67+25%
Sensitivity for vertebral fractures89%44%+102%
Specificity92%88%+5%

AI integration

Diagnostic thresholds

L1 trabecular attenuation norms (n=20,374):

  • Normal: >120 mg/cm³ (>160 HU)
  • Osteopenia: 80–120 mg/cm³ (110–160 HU)
  • Osteoporosis: <80 mg/cm³ (<110 HU)

Cost-Effectiveness

Multiple studies demonstrate economic superiority of opportunistic CT screening:

Cost savings

Especially in women ≥65

$70,249/QALY

WTP threshold achieved

129

Fractures prevented per 10,000 screenings

$2.5B

Potential annual savings (U.S.)

No added operational cost

Return

Markov analyses: ICER $16,430/QALY—well below WTP thresholds; dominant in high-risk groups.

Clinical Implementation & Workflow

PACS integration

  • Auto-detect eligible studies
  • Vertebral segmentation and BMD analysis
  • Structured reporting (DICOM SR + PDF)

Recommended protocol

  • Women ≥65 / Men ≥70: all thoracic/abdominal CT
  • Age 50–64 with risks: prior fractures, corticosteroids, RA
  • Oncology: baseline and follow-up
  • Pre-surgical: spine or arthroplasty planning

Clinical action

  1. <80 mg/cm³: immediate osteoporosis work-up
  2. 80–120 mg/cm³: assess additional risk factors
  3. Vertebral fracture: start anti-osteoporotic therapy
  4. Follow-up: 12–24 months

Regulatory & privacy

  • SaMD lifecycle aligned to MDR/FDA
  • GDPR compliance, audit trails, RBAC
  • On-prem or cloud deployment

Technology Roadmap

Asynchronous calibration

  • Internal tissue references
  • Vendor/protocol-specific corrections
  • DECT cross-validation
  • Contrast-phase adjustment

Low-dose CT

Feasible at 80 kV (lung cancer screening); correlation R²=0.991–0.998 vs 120 kV QCT.

Multi-domain

  • Bone: BMD, microarchitecture, finite-element strength
  • Body composition: sarcopenia, fat infiltration
  • CV risk: aortic calcification, epicardial fat

Barriers & Solutions

BarrierProposed solutionStatus
Scanner variabilityMulti-vendor asynchronous calibrationImplemented in BMDNow
Specific reimbursementCPT codes for advanced image analysisIn progress
Workflow integrationFull automation via PACSAvailable
Medical educationTraining & certificationExpanding
Incidental findingsStandardized referral protocolsGuidelines published