Evidence map›Paper›PMID 41730182›Full record

ArticleJMIR research protocols2026

Stereotactic Adaptive Radiation Therapy for Borderline Resectable or Locally Advanced Pancreatic Cancer to Minimize Gastrointestinal Toxicity (ARTIA-Pancreas): Protocol for a Single-Arm Prospective Trial.

Lauren E Henke, Hyun Kim, Eric Laugeman, Steven Kohlmyer, Claire McCann, Kate Pietrovito, Kenneth Russell, Jennifer Woo, Alex T Price

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lauren E HenkeDepartment of Radiation Oncology, Seidman Cancer Center, University Hospitals, 10900 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-844-3951.ORCID 0000-0003-2208-3241
Hyun KimDepartment of Radiation Oncology, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0003-4029-8764
Eric LaugemanDepartment of Radiation Oncology, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0002-4362-3182
Steven KohlmyerVarian Medical Systems, LLC, A Siemens Healthineers Company, Palo Alto, CA, United States.ORCID 0009-0008-7677-9141
Claire McCannVarian Medical Systems, LLC, A Siemens Healthineers Company, Palo Alto, CA, United States.ORCID 0000-0001-7595-2733
Kate PietrovitoVarian Medical Systems, LLC, A Siemens Healthineers Company, Palo Alto, CA, United States.ORCID 0009-0004-2964-7040
Kenneth RussellVarian Medical Systems, LLC, A Siemens Healthineers Company, Palo Alto, CA, United States.ORCID 0000-0002-0687-0897
Jennifer WooVarian Medical Systems, LLC, A Siemens Healthineers Company, Palo Alto, CA, United States.ORCID 0000-0002-7497-8816
Alex T PriceDepartment of Radiation Oncology, Seidman Cancer Center, University Hospitals, 10900 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-844-3951.ORCID 0000-0002-9054-6474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography (CT)-guided online stereotactic adaptive radiotherapy (CT-STAR) allows for ablative radiation doses to be delivered to selected patients with borderline resectable (BR) or locally advanced pancreatic cancer (LAPC) or unresectable pancreatic cancer. However, the use of CT-STAR to deliver an ablative dose to the pancreas while minimizing gastrointestinal (GI) side effects to reduce acute and late toxicity rates compared to historic controls has yet to be prospectively evaluated. Objective: The primary objective of this prospective, single-arm, multicenter phase 2 clinical trial (Adaptive Radiation Therapy Individualized Approach [ARTIA]-Pancreas) is to evaluate the rate of acute grade 3+ GI toxicity in patients with BR/LAPC treated with ablatively dosed CT-STAR compared to historical controls. Methods: Patients with histologically or cytologically confirmed BR, locally advanced, or medically inoperable pancreatic adenocarcinoma are eligible for participation. Consenting and eligible patients will be treated with CT-STAR, delivering 5 fractions over 1 to 2 weeks with daily adaptation based on anatomic changes observed with onboard cone beam CT imaging. The primary end point of this trial is the rate of acute patient-reported grade 3+ treatment-related GI toxicities, assessed at 90 days post CT-STAR and compared to a historical control rate of 20%. The key powered secondary end point is the rate of long-term patient-reported grade 3+ treatment-related GI toxicities, evaluated at 12 months post CT-STAR and compared to a historical control rate of 25%. Additional secondary end points include overall survival, local (in-field) control rates, and distant progression-free survival at 1 and 2 years post CT-STAR. Results: Study completion is anticipated in February 2029, and the final study results will be published upon completion of the study. Conclusions: ARTIA-Pancreas represents the first prospective phase 2 clinical trial to evaluate whether CT-STAR can reduce the rate of acute patient-reported GI toxicities in patients with BR/LAPC compared to historical controls. Findings from this clinical trial will provide evidence for safely and effectively incorporating ablatively dosed adaptive radiotherapy into treatment regimens for this population.

Indexed as

Pancreatic NeoplasmsRadiosurgeryClinical Trials, Phase II as TopicFemaleHumansMaleMulticenter Studies as TopicProspective StudiesTomography, X-Ray Computedadaptive radiationdose escalationpancreaspancreatic cancerradiation

Identifiers

PMID41730182
PMCPMC12928687

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.