Evidence map›Paper›PMID 42294411›Full record

ArticleAdvances in radiation oncology2026

Offline Plan Adaptation in Robustly Optimized CBCT-Guided Pencil Beam Scanning Proton Beam Therapy: Lessons From a Real-World Cohort.

Srinivas Chilukuri, Sham Sundar, Utpal Gaikwad, Manikandan Arjunan, Ramakrishna Kamath, Sapna Nangia, Nagarjuna Burela, Ganapathy Krishnan, Minnal Mookaiah, Karthikeyan Shanmugam and 4 more

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Article in Advances in radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Srinivas ChilukuriDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Sham SundarDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Utpal GaikwadDepartment of Radiation Oncology, Krupamayi Hospitals, Aurangabad, Maharashtra, India.
Manikandan ArjunanDepartment of Medical Physics, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Ramakrishna KamathDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Sapna NangiaDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Nagarjuna BurelaDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Ganapathy KrishnanDepartment of Medical Physics, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Minnal MookaiahDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Karthikeyan ShanmugamDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Uday KrishnaDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Ashu AbhishekDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Dayananda Shamurailatpam SharmaDepartment of Medical Physics, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Rakesh JalaliDepartment of Radiation Oncology, Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pencil beam scanning proton beam therapy (PBS-PBT) is highly sensitive to anatomic variations, often necessitating adaptive replanning (ARP) to ensure accurate dose delivery. While cone beam computed tomography (CBCT) is increasingly used for image guidance with PBT, many centers still rely on periodic quality assurance computed tomography scans (QACTs) to trigger ARP. This study reports a large real-world experience with a CBCT-guided offline adaptive PBS-PBT workflow. Methods and Materials: We retrospectively analyzed 300 consecutive patients treated with robustly optimized PBS-PBT. All patients underwent CBCT guided treatments, with QACTs performed either periodically (P-QACT) or triggered by CBCT (T-QACT) changes. We assessed ARP frequency, dosimetric and anatomic triggers, temporal patterns, indications, and workflow impacts across treatment sites. Strategic modifications were introduced after the first 100 patients, and their effect on ARP frequency was evaluated. Results: Of 761 QACTs performed, 541 were P-QACT and 220 were T-QACT. Overall, 94 ARPs were performed in 80 patients (27%), with the highest rates in head neck (62%) and thoracic (43%) cancers. The primary dosimetric trigger was organ-at-risk overdosage (52%), followed by target undercoverage (32%) and a combination of both (16%). T-QACT demonstrated 97% (91/94) sensitivity for triggering ARP with 41.4% (91/220) specificity. Most ARPs (64%) occurred in the first half of the treatment, with 32% in week 3. Beam path changes (52%) were the most frequent anatomic trigger, followed by target deformation (29%) and setup inconsistencies (13%). Strategic modifications reduced ARP frequency from 35% in the first 100 patients to 22.5% in the subsequent 200. Conclusions: PBS-PBT frequently necessitates ARP. A CBCT guided offline adaptive workflow, combined with stringent image review protocols, can largely eliminate the need for routine QACTs and streamline replanning. This approach offers practical guidance for PBS-PBT programs.

Identifiers

PMID42294411
PMCPMC13263621

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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.