ReviewWorld journal of radiology2026
Imaging-guided adaptive radiation therapy in limited-stage small cell lung cancer: Current evidence and clinical perspectives.
Review in World journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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0 citing papers in PubMed.
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Authors and funding
1 author.
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Abstract
Small cell lung cancer (SCLC) remains among the most aggressive thoracic malignancies and continues to present major therapeutic challenges despite advances in multimodality treatment. Limited-stage SCLC (LS-SCLC), representing approximately one-third of cases, is conventionally managed with concurrent chemoradiotherapy delivered with curative intent. Radiation therapy (RT) is central to treatment; however, rapid treatment related anatomical and volumetric changes may alter target geometry and reduce the accuracy of plans generated from baseline imaging. Adaptive RT (ART) has emerged as an imaging-guided strategy that enables treatment modification according to evolving anatomy during RT delivery. This narrative review examines the rationale and current evidence supporting imaging-guided ART in LS-SCLC, with emphasis on imaging-informed decision-making and contemporary implementation considerations. LS-SCLC represents a biologically compelling setting for adaptive treatment because of its rapid treatment responsiveness; however, important uncertainties remain regarding patient selection, imaging schedules, adaptive triggers, and workflow standardization. Prospective studies incorporating standardized adaptive workflows and clinically meaningful endpoints are required to determine whether observed dosimetric advantages translate into measurable clinical benefit.
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