Evidence map›Paper›PMID 42839973›Full record

ArticleFrontiers in oncology2026

Case Report: Image-guided adaptive lattice radiotherapy for a 2,772-cc ulcerative triple-negative breast cancer.

Min Xiao, Qian Wang, Gangyang Yu, Fang Li, Jingna Ji

Abstract readCase Reports
In one paragraph

Article in Frontiers in 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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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Min XiaoDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Qian WangDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Gangyang YuDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Fang LiDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Jingna JiDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Giant ulcerative breast cancers (>2,000 cc) with active hemorrhage present a critical therapeutic challenge, as conventional radiotherapy carries a high risk of severe toxicity to surrounding organs. Lattice radiotherapy (LRT) delivers spatially fractionated high-dose vertices within a low-dose background, offering the potential to overcome dose constraints. However, rapid tumor regression induced by LRT may render fixed plans unsafe, necessitating adaptive replanning. Case presentation: A 46-year-old female with stage IV triple-negative breast cancer (TNBC; BRCA1 germline mutation) presented with a 2,772.2-cc ulcerative left breast and axillary masses complicated by persistent hemorrhage, recurrent infection, and Eastern Cooperative Oncology Group (ECOG 3). After failure of systemic therapies including fluzoparib, image-guided adaptive LRT was initiated (gross tumor volume [GTV]: 12 Gy/4 fractions; lattice vertices: 60 Gy/4 fractions). Before fractions 2-4, the GTV was re-contoured on daily fan-beam computed tomography (FBCT), lattice vertices were redistributed away from the skin surface, and plans were recalculated. LRT was followed by conventionally fractionated VMAT (40 Gy/20 fractions). Hemorrhage ceased within 2 weeks and persistent fever subsided, becoming intermittent and progressively less frequent. Tumor volume progressively decreased by 21.2% during LRT (before fraction 4), 81.5% post-VMAT, and 96.1% (108.3 cc residual) at 2-month follow-up. Cumulative organ-at-risk (OAR) doses, estimated by rigid-registration dose accumulation, remained within tolerance, with only Grade 2 dermatitis and no ≥Grade 3 toxicity. Conclusion: This case demonstrates the technical feasibility of image-guided adaptive lattice replanning in a rapidly changing, ultra-large fungating breast tumor. Adaptive replanning may reduce geometric displacement of high-dose vertices; however, its dosimetric and clinical benefits require confirmation in further patients and with longer follow-up.

Indexed as

adaptive radiotherapygiant ulcerative breast cancerlattice radiotherapyspatially fractionated radiotherapytriple-negative breast cancer

Identifiers

PMID42839973
PMCPMC13638357

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