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Validated machine learning tools to distinguish immune checkpoint inhibitor, radiotherapy, COVID-19 and other infective pneumonitis.
Hindocha S, Hunter B, Linton-Reid K, George Charlton T, Chen M, Logan A, Ahmed M, Locke I, Sharma B, Doran S, Orton M, Bunce C, Power D, Ahmad S, Chan K, Ng P, Toshner R, Yasar B, Conibear J, Murphy R, Newsom-Davis T, Goodley P, Evison M, Yousaf N, Bitar G, McDonald F, Blackledge M, Aboagye E, Lee R. Hindocha S, et al. Radiother Oncol. 2024 Apr 4;195:110266. doi: 10.1016/j.radonc.2024.110266. Online ahead of print. Radiother Oncol. 2024. PMID: 38582181 Free article.
CONCLUSION: Our results demonstrate the potential utility of such tools as a second or concurrent reader to support oncologists, radiologists, and chest physicians in cases of diagnostic uncertainty. Further research is required for patients with exposure to both ICI and t …
CONCLUSION: Our results demonstrate the potential utility of such tools as a second or concurrent reader to support oncologists, radiologist …
Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis.
Hunter B, Argyros C, Inglese M, Linton-Reid K, Pulzato I, Nicholson AG, Kemp SV, L Shah P, Molyneaux PL, McNamara C, Burn T, Guilhem E, Mestas Nuñez M, Hine J, Choraria A, Ratnakumar P, Bloch S, Jordan S, Padley S, Ridge CA, Robinson G, Robbie H, Barnett J, Silva M, Desai S, Lee RW, Aboagye EO, Devaraj A. Hunter B, et al. Br J Cancer. 2023 Dec;129(12):1949-1955. doi: 10.1038/s41416-023-02480-y. Epub 2023 Nov 6. Br J Cancer. 2023. PMID: 37932513
The external test set was obtained from the national LIBRA study and a prospective Lung Cancer Screening programme. Radiomics features were extracted from multi-region CT segmentations using TexLab2.0. ...CONCLUSIONS: SN-RPV may provide net-benefit in terms of earlier c …
The external test set was obtained from the national LIBRA study and a prospective Lung Cancer Screening programme. Radiomics feature …
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.
Kalantar R, Hindocha S, Hunter B, Sharma B, Khan N, Koh DM, Ahmed M, Aboagye EO, Lee RW, Blackledge MD. Kalantar R, et al. Sci Rep. 2023 Jun 29;13(1):10568. doi: 10.1038/s41598-023-36712-1. Sci Rep. 2023. PMID: 37386097 Free PMC article.
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomography (CT) imaging-based artificial intelligence models for COVID-19 research. However, contrast heterogeneity from real-world datasets may impair model performance. ...
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomography (CT) imaging-based artificial intell …
A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules.
Hunter B, Chen M, Ratnakumar P, Alemu E, Logan A, Linton-Reid K, Tong D, Senthivel N, Bhamani A, Bloch S, Kemp SV, Boddy L, Jain S, Gareeboo S, Rawal B, Doran S, Navani N, Nair A, Bunce C, Kaye S, Blackledge M, Aboagye EO, Devaraj A, Lee RW. Hunter B, et al. EBioMedicine. 2022 Dec;86:104344. doi: 10.1016/j.ebiom.2022.104344. Epub 2022 Nov 10. EBioMedicine. 2022. PMID: 36370635 Free PMC article.
We aimed to develop and validate an integrated segmentation and classification pipeline, incorporating deep-learning and traditional radiomics, to classify large lung nodules according to cancer risk. METHODS: 502 patients from five U.K. centres were recruited to the large …
We aimed to develop and validate an integrated segmentation and classification pipeline, incorporating deep-learning and traditional radiomi …
The Role of Artificial Intelligence in Early Cancer Diagnosis.
Hunter B, Hindocha S, Lee RW. Hunter B, et al. Cancers (Basel). 2022 Mar 16;14(6):1524. doi: 10.3390/cancers14061524. Cancers (Basel). 2022. PMID: 35326674 Free PMC article. Review.
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stratification are key challenges. .. …
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tu …
Arginine deprivation alters microglial polarity and synergizes with radiation to eradicate non-arginine-auxotrophic glioblastoma tumors.
Hajji N, Garcia-Revilla J, Soto MS, Perryman R, Symington J, Quarles CC, Healey DR, Guo Y, Orta-Vázquez ML, Mateos-Cordero S, Shah K, Bomalaski J, Anichini G, Tzakos AG, Crook T, O'Neill K, Scheck AC, Venero JL, Syed N. Hajji N, et al. J Clin Invest. 2022 Mar 15;132(6):e142137. doi: 10.1172/JCI142137. J Clin Invest. 2022. PMID: 35113813 Free PMC article.