CARBON-SUSTAIN study: Visit-sparing, low-emission hypofractionated radiation therapy in a traffic-dense Indian megacity.
CARBON-SUSTAIN研究：交通渋滞の多いインド大都市における来院回数削減・低排出の放射線治療 (AI 翻訳)
Lohith Gopala Reddy, Krithikaa Sekar, Pichandi Anchineyan, Deeksha Dharini, Ramesh Bilimagga Bilimagga, Somarat Bhattacharjee, Basavalinga Sadasivaiah Ajaikumar
🤖 gxceed AI 要約
日本語
本研究は、インド・バンガロールの癌患者を対象に、放射線治療における炭素排出量を定量化し、低分割照射（HF）による来院回数削減が排出量削減に与える影響を評価した。電気と移動に伴う排出量を測定した結果、HFにより8,674回の来院を回避し、合計132.5トンのCO2e削減を達成。治療精度を維持しつつ、大都市でのスケーラブルな低排出医療モデルを提示した。
English
This study quantifies carbon emissions from radiation therapy in Bengaluru, India, and evaluates how hypofractionation (HF) reduces visit frequency and emissions. By avoiding 8,674 fraction-visits, it achieved a total reduction of 132.5 metric tons CO2e (37.1 from electricity, 95.4 from travel). HF maintained treatment precision, offering a scalable low-emission care model for traffic-dense megacities.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の大都市でも通院による交通排出は無視できず、医療分野の脱炭素化の参考事例となる。特に、外来放射線治療の頻度削減は患者負担軽減と環境負荷低減の両立策として注目される。
In the global GX context
This paper provides empirical evidence linking healthcare delivery (radiation therapy) to carbon emissions in a megacity context. It highlights visit frequency as a key driver of emissions, offering a practical framework for decarbonizing clinical pathways—relevant for global healthcare systems facing net-zero targets.
👥 読者別の含意
🔬研究者:Demonstrates a methodology for quantifying carbon emissions in healthcare and the impact of treatment protocol changes on emissions.
🏢実務担当者:Provides a concrete example of how hypofractionation can reduce both carbon footprint and patient burden in busy urban hospitals.
🏛政策担当者:Offers evidence for integrating climate metrics into healthcare quality assessment and incentivizing low-emission treatment protocols.
📄 Abstract（原文）
e23117 Background: In megacities, serial radiation therapy (RT) visits markedly augment healthcare-related carbon emissions due to traffic congestion, yet this burden remains poorly quantified. Bengaluru city illustrates this challenge, where each additional visit amplifies emissions, travel time, and patient burden. CARBON SUSTAIN STUDY aimed to quantify climate impact of RT delivery, assess if evidence-based hypo-fractionation(HF) can enable guideline concordant, low emission, carbon efficient, climate sensitive care model without compromising treatment precision. Methods: Electricity related emissions were estimated from measured per-fraction energy consumption (kWh/fraction) using direct clamp-meter measurements at uninterruptible power supply output (415-V, three phase; power factor (0.9) and Bengaluru Electricity Supply Company grid emission factor (0.71 kg CO₂/kWh). Measured energy use per fraction was 13.14 kWh (Ethos), 20.15 kWh (TomoTherapy), and 12.30 kWh (CyberKnife). Travel-related emissions were modeled using home to hospital distance bands (≤5 km, 6–10 km, 11–20 km, >20 km) with congestion-adjusted emission factors for weekday peak traffic. Primary endpoint was total carbon dioxide equivalent (CO₂e) emissions from electricity and travel. Secondary endpoints included Care Access Days Saved (CADS), defined as fraction-visits avoided, and regimen-level carbon efficiency. Statistical analysis included descriptive statistics, CADS with 95% confidence intervals, Kruskal–Wallis testing for CO₂e comparisons, and multivariable linear regression with robust standard errors. Results: In a total of 786 patients, delivered fractions were 12,185 compared with 20,859 expected under conventional schedule, resulting in 8,674 fraction-visits avoided (CADS) and 41.6% reduction in hospital visits. Electricity-related CO₂e avoided was 37.1 metric tons. Travel-related CO₂e avoided was at 95.4 metric tons, yielding total reduction of 132.5 metric tons of CO₂e. On multivariable analysis, number of fractions was strongest independent predictor of total CO₂e (p < 0.001),while travel-distance band contributed additional variance (p < 0.001). Conclusions: In traffic-dense megacities, meaningful decarbonisation of RT is driven primarily by reducing visit frequency. Visit-sparing HFRT substantially lowers carbon emissions maintaining treatment precision, offering scalable, low-emission, climate-sensitive framework. These reductions were attained using guideline-concordant HF without altering oncologic outcomes. Fraction reduced and CADS by disease site. Cancer site Patient (n) Delivered fractions Conventional fractions (CADS) %reduction Breast ca 542 8,976 16,260 7,284 44.8 Prostate ca 53 961 2,014 1,053 52.3 Glottic ca 27 868 945 77 8.1 Bone metastasis 164 1,380 1,640 260 15.9 Total 786 12,185 20,859 8,674 41.6
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1200/jco.2026.44.16_suppl.e23117first seen 2026-05-30 05:00:12 · last seen 2026-06-16 04:51:26
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