CBCT-derived synthetic CT predicted head and neck replanning with 92% sensitivity and specificity

DART predicted clinically triggered head and neck adaptation with 92% sensitivity and specificity using a unified 2-Gy dosimetric threshold.

KEY POINTS

  • The DART workflow was retrospectively evaluated in 12 head and neck patients treated at Austin Health from 2020–2023 who had already undergone clinically indicated mid-treatment replanning. Seven were treated with IMRT and five with VMAT.
  • Clinical plans used a 5-mm CTV-to-PTV margin with three typical dose levels—70 Gy, 63 Gy and 56 Gy in 35 fractions. Replanning occurred between weeks 1 and 5, most commonly during weeks 3–4.
  • DART starts from treatment CBCT and creates a synthetic CT using image enhancement, separate head/body rigid registrations, image stitching and deformable registration. This “double-fusion” strategy was specifically designed to distinguish changes such as neck tilt from weight loss, rather than trying to capture both with a single registration.
  • Geometric agreement with the clinical replan CT was good: average Dice coefficients were >80% for all evaluated structures except the submandibular glands (>75%), excluding the very small cochlear structures. Mean distance-to-agreement averaged <2 mm, and all values were <3 mm.
  • Dosimetric agreement was similarly strong. Average DVH differences between synthetic and replan CT calculations were within 1%, all evaluated dose differences were within 3%, and total gamma passing rates were >95%.
  • Using the clinical decision to replan as ground truth and a unified 2-Gy change threshold across target and organ-at-risk DVH metrics, DART achieved 92% sensitivity and 92% specificity for identifying clinically relevant adaptation.
  • Organ-at-risk changes—particularly involving the salivary glands—were frequent drivers of adaptation flags. Four of 12 patients also showed relevant deterioration in D98 of the elective low-dose target, whereas only two had major changes affecting the high-dose target, highlighting why adaptation assessment cannot rely on target coverage alone.

CLINICAL TAKEAWAY

DART offers a practical route from routine CBCT to quantitative “does this patient actually need replanning?” decision support without automatically rescanning everyone. The 92%/92% performance is encouraging, but with only 12 preselected patients who all underwent clinical replanning, larger prospective validation is essential before using the threshold as an autonomous adaptation trigger.

SOURCE

Journal of Applied Clinical Medical Physics