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Conference Paper: Combining radiomics and deep features in Positron Emission Tomography improves accuracy in tumour response to neo-adjuvant chemoradiotherapy in oesophageal squamous cell carcinoma
Title | Combining radiomics and deep features in Positron Emission Tomography improves accuracy in tumour response to neo-adjuvant chemoradiotherapy in oesophageal squamous cell carcinoma |
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Authors | |
Keywords | Artificial Intelligence and Machine Learning Ear / Nose / Throat Management PET Chemotherapy |
Issue Date | 2019 |
Publisher | European Society of Radiology. |
Citation | European Congress of Radiology (ECR), Vienna, Austria, 15-19 July 2020 How to Cite? |
Abstract | Purpose: This study examined whether radiomics and deep learning are predictive of tumour response in patients with oesophageal squamous cell carcinoma (OSCC) treated by neoadjuvant chemo-radiotherapy (nCRT) and surgery. nCRT followed by surgery is considered the standard of care for patients with locally advanced OSCC, although surgery, in the form of oesophagectomy, is associated with significant mortality and morbidity[1,2]. With up to a third of patients achieving pCR after nCRT, these patients may potentially be spared surgery [3, 4] |
Description | Poster no. ECR 2020 / C-13065 Virtual Conference was held due to COVID-19 |
Persistent Identifier | http://hdl.handle.net/10722/285340 |
DC Field | Value | Language |
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dc.contributor.author | van Lunenburg, JTJ | - |
dc.contributor.author | Chiu, WHK | - |
dc.date.accessioned | 2020-08-18T03:52:34Z | - |
dc.date.available | 2020-08-18T03:52:34Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | European Congress of Radiology (ECR), Vienna, Austria, 15-19 July 2020 | - |
dc.identifier.uri | http://hdl.handle.net/10722/285340 | - |
dc.description | Poster no. ECR 2020 / C-13065 | - |
dc.description | Virtual Conference was held due to COVID-19 | - |
dc.description.abstract | Purpose: This study examined whether radiomics and deep learning are predictive of tumour response in patients with oesophageal squamous cell carcinoma (OSCC) treated by neoadjuvant chemo-radiotherapy (nCRT) and surgery. nCRT followed by surgery is considered the standard of care for patients with locally advanced OSCC, although surgery, in the form of oesophagectomy, is associated with significant mortality and morbidity[1,2]. With up to a third of patients achieving pCR after nCRT, these patients may potentially be spared surgery [3, 4] | - |
dc.language | eng | - |
dc.publisher | European Society of Radiology. | - |
dc.relation.ispartof | European Congress of Radiology (ECR) 2020 | - |
dc.subject | Artificial Intelligence and Machine Learning | - |
dc.subject | Ear / Nose / Throat | - |
dc.subject | Management | - |
dc.subject | PET | - |
dc.subject | Chemotherapy | - |
dc.title | Combining radiomics and deep features in Positron Emission Tomography improves accuracy in tumour response to neo-adjuvant chemoradiotherapy in oesophageal squamous cell carcinoma | - |
dc.type | Conference_Paper | - |
dc.identifier.email | van Lunenburg, JTJ: jvl8@HKUCC-COM.hku.hk | - |
dc.identifier.email | Chiu, WHK: kwhchiu@hku.hk | - |
dc.identifier.authority | Chiu, WHK=rp02074 | - |
dc.identifier.doi | 10.26044/ecr2020/C-13065 | - |
dc.identifier.hkuros | 312661 | - |