Vanvitelli · Radiotherapy & Radiation Oncology

Future Physician-Entrepreneur at the seam of imaging, AI, and functional reserve.

I am Eangelica Aton, MD candidate at Università degli Studi della Campania "Luigi Vanvitelli." My thesis develops a CT-derived VO₂max estimator to bring cardiorespiratory fitness — the strongest single predictor of mortality — into routine radiation-oncology workflows, at zero additional patient burden.

Research in practice

A CT-derived estimator of cardiorespiratory fitness — built alongside the teams who will use it.

VO₂max remains the strongest single predictor of mortality yet is rarely captured in oncology. This work reads it from imaging patients already receive — at zero additional burden — so radiation-oncology teams can act on functional reserve at the point of care.

Reading room

Multidisciplinary review of thoracic CT — the substrate for opportunistic biomarkers.

CT ↔ VO₂max

Pairing muscle, heart, and vascular signals with cardiorespiratory fitness distributions.

Zero burden

Estimating functional reserve from scans patients already receive in oncology workflows.

Workflow

From routine CT to actionable VO₂max — with zero added patient burden.

The estimator sits silently inside the existing radiation-oncology pathway. No new scan, no exercise test, no extra visit — the imaging patients already receive becomes a window onto cardiorespiratory fitness.

Zero additional· scans· visits· exercise tests· contrast· radiation dose

Elsewhere

Work · Portfolio · Research

Academic

MD Thesis — restricted archive

The full thesis proposal, statistical analysis plan, data dictionary, ethics framework, and companion research proposal on AI-based imaging biomarkers for precision oncology are held behind an access gate. Credentials are required to read, download, and cite.

Enter academic archive