False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study Article Swipe

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Xiao Luo , Yadi Yang , Shaohan Yin , Hui Li , Weijing Zhang , Guixiao Xu , Weixiong Fan , Dechun Zheng , Jianpeng Li , Dinggang Shen , Yaozong Gao , Ying Shao , Xiaohua Ban , Jing Li , Shan-Shan Lian , Cheng Zhang , Lidi Ma , Cuiping Lin , Yingwei Luo , Fan Zhou , Shiyuan Wang , Ying Sun , Rong Zhang , Chuanmiao Xie ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1093/neuonc/noac192

Background Errors have seldom been evaluated in computer-aided detection on brain metastases. This study aimed to analyze false negatives (FNs) and false positives (FPs) generated by a brain metastasis detection system (BMDS) and by readers. Methods A deep learning-based BMDS was developed and prospectively validated in a multicenter, multireader study. Ad hoc secondary analysis was restricted to the prospective participants (148 with 1,066 brain metastases and 152 normal controls). Three trainees and 3 experienced radiologists read the MRI images without and with the BMDS. The number of FNs and FPs per patient, jackknife alternative free-response receiver operating characteristic figure of merit (FOM), and lesion features associated with FNs were analyzed for the BMDS and readers using binary logistic regression. Results The FNs, FPs, and the FOM of the stand-alone BMDS were 0.49, 0.38, and 0.97, respectively. Compared with independent reading, BMDS-assisted reading generated 79% fewer FNs (1.98 vs 0.42, P < .001); 41% more FPs (0.17 vs 0.24, P < .001) but 125% more FPs for trainees (P < .001); and higher FOM (0.87 vs 0.98, P < .001). Lesions with small size, greater number, irregular shape, lower signal intensity, and located on nonbrain surface were associated with FNs for readers. Small, irregular, and necrotic lesions were more frequently found in FNs for BMDS. The FPs mainly resulted from small blood vessels for the BMDS and the readers. Conclusions Despite the improvement in detection performance, attention should be paid to FPs and small lesions with lower enhancement for radiologists, especially for less-experienced radiologists.

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Medicine Brain metastasis Radiology Metastasis Oncology Internal medicine Cancer

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Type: article
Language: en
Landing Page: https://doi.org/10.1093/neuonc/noac192
PDF: https://academic.oup.com/neuro-oncology/advance-article-pdf/doi/10.1093/neuonc/noac192/45820524/noac192.pdf
OA Status: bronze
Cited By: 8
References: 21
Related Works: 10
OpenAlex ID: https://openalex.org/W4290771572

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DOI: https://doi.org/10.1093/neuonc/noac192

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Title: False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-08-09

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Authors: Xiao Luo, Yadi Yang, Shaohan Yin, Hui Li, Weijing Zhang, Guixiao Xu, Weixiong Fan, Dechun Zheng, Jianpeng Li, Dinggang Shen, Yaozong Gao, Ying Shao, Xiaohua Ban, Jing Li, Shan-Shan Lian, Cheng Zhang, Lidi Ma, Cuiping Lin, Yingwei Luo, Fan Zhou, Shiyuan Wang, Ying Sun, Rong Zhang, Chuanmiao Xie

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Landing page: https://doi.org/10.1093/neuonc/noac192

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PDF URL: https://academic.oup.com/neuro-oncology/advance-article-pdf/doi/10.1093/neuonc/noac192/45820524/noac192.pdf

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Concepts: Medicine, Brain metastasis, Radiology, Metastasis, Oncology, Internal medicine, Cancer

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Cited by: 8

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Citations by year (recent): 2025: 4, 2024: 3, 2022: 1

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