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Radiologists Catch More Aggressive Breast Cancers By Using AI To Help Read Mammograms, Study Finds

著者:BeauHD
2026年1月30日 16:00

🤖 AI Summary

**スウェーデンでの大規模検査で分かった AI 活用の効果**

- **対象と方法**
- 10万人の女性を対象に 2 年間のマンモグラム検査を実施。
- 受診者の半数は AI が診断を支援し、残りは従来通り 2 名の放射線科医が二重読影(double reading)を実施。

- **主な結果**
- 「インターバルがん」(定期検査間に新たに見つかる侵襲性腫瘍)の発生率が AI 支援群で 12%減少。
- 数値では、標準読影で 93 件だったのが AI 支援で 82 件となり、11 件(約 12%)の減少。

- **AI の運用形態**
- AI がリスクを評価し、低リスクと判断された画像は 1 名の放射線科医が最終確認。
- 高リスクと判断された画像は従来通り 2 名の医師が読影。

- **意義と今後の課題**
- AI により全体的なスクリーニング精度が向上し、特に予後不良な aggressive がんの早期発見が期待できる。
- 死亡率への影響やコスト効果は長期的・多施設での研究が必要。
- 本研究は単一施設で実施されたこと、参加者の人種・民族情報が未記録である点が限界。

- **次のステップ**
- スウェーデンの研究チームは、AI 支援スクリーニングの費用対効果を評価することを計画中。
A large Swedish study of 100,000 women found that using AI to assist radiologists reading mammograms reduced the rate of aggressive "interval" breast cancers by 12%. CBC News reports: For the study -- published in Thursday's issue of the medical journal The Lancet -- more than 100,000 women had mammography screenings. Half were supported by AI and the rest had their mammograms reviewed by two different radiologists, a standard practice in much of Europe known as double reading. It is not typically used in Canada, where usually one radiologist checks mammograms. The study looked at the rates of interval cancer, the term doctors use for invasive tumors that appear between routine mammograms. They can be harder to detect and studies have shown that they are more likely to be aggressive with a poorer prognosis. The rate of interval cancers decreased by 12 percent in the groups where the AI screening was implemented, the study showed. [...] Throughout the two-year study, the mammograms that were supported by AI were triaged into two different groups. Those that were determined to be low risk needed only one radiologist to examine them, while those that were considered high risk required two. The researchers reported that numerically, the AI-supported screening resulted in 11 fewer interval cancers than standard screening (82 versus 93, or 12 per cent). "This is really a way to improve an overall screening test," [said lead author, Dr. Kristina Lang]. She acknowledged that while the study found a decrease in interval cancer, longer-term studies are needed to find out how AI-supported screening might impact mortality rates. The screenings for the study all took place at one centre in Sweden, which the researchers acknowledged is a limitation. Another is that the race and ethnicity of the participants were not recorded. The next step, Lang said, will be for Swedish researchers to determine cost-effectiveness.

Read more of this story at Slashdot.

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