AI trained to spot hidden cancer spread in throat cancer scans
NCT ID NCT05565313
First seen Oct 09, 2026 ยท Last updated Oct 09, 2026
Summary
Researchers are developing an artificial intelligence model that reads CT and MRI scans to predict whether oropharyngeal cancer has spread outside lymph nodes, a condition called extranodal extension. The study uses scans from 900 patients treated between 2008 and 2019 with radiation or chemoradiation. The goal is to see if the AI can match radiologists at identifying this spread, which could help guide treatment decisions.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- an artificial intelligence model that reads medical scans
- What this could lead to
- If the model works, doctors could use routine scans to spot cancer spread outside lymph nodes more reliably, helping them choose the right treatment intensity.
- What could go wrong
- The model learns from scans taken between 2008 and 2019 at specific centers, so it may not perform as well on different patient groups or newer imaging equipment. It also needs validation before it can be used in clinics.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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900 people
The number who actually took part.
- Started
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Mar 2022
- Finished
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Aug 2026
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Inclusion criteria: * Non-metastatic (M0) node-positive HPV+ and HPV- (human papilloma virus) oropharyngeal carcinoma * Treated between 2008 to 2019 * Curative intent * Radiation only or concurrent chemoradiation * Modern treatment modality: IMRT / VMAT (Intensity Modulated RadioTherapy / Volumetric-Modulated Arc Therapy) * diagnostic/staging image scanning protocols available (contrast-enhanced CT with 2-3 mm slice thickness and/or MR (magnetic resonance) with 3 mm slice thickness) Exclusion criteria: * removal of lymph node (LN) (excisional biopsy or neck dissection \[ND\]) prior to staging CT/MR scan * no available imaging within 2 months prior to radiotherapy (RT)"
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion criteria: * Non-metastatic (M0) node-positive HPV+ and HPV- oropharyngeal carcinoma * Treated between 2008 to 2019 * Curative intent * Radiation only or concurrent chemoradiation * Modern treatment modality: IMRT / VMAT * diagnostic/staging image scanning protocols available (contrast-enhanced CT with 2-3 mm slice thickness and/or MR with 3 mm slice thickness) Exclusion criteria: * removal of lymph node (LN) (excisional biopsy or neck dissection \[ND\]) prior to staging CT/MR scan * no available imaging within 2 months prior to radiotherapy (RT)"
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Harvard Medical School and clinical faculty at Dana-Farber Cancer Institute/Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
-
Maastro
Maastricht, Limburg, 6229 ET, Netherlands
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Princess Margaret Cancer Centre
Toronto, Ontario, M5G 2M9, Canada
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