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Early tumor respons...
Early tumor response prediction for lung cancer patients using novel longitudinal pattern features from sequential PET/CT image scans
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- Buizza, Giulia (author)
- KTH,Medicinteknik och hälsosystem,Politecn Milan, CartCasLab, Dept Elect Informat & Bioengn, Piazza Leonardo Da Vinci 42, I-20133 Milan, Italy.
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- Toma-Dasu, Iuliana (author)
- Karolinska Institutet
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- Lazzeroni, Marta (author)
- Karolinska Institutet
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- Paganelli, Chiara (author)
- Politecn Milan, CartCasLab, Dept Elect Informat & Bioengn, Piazza Leonardo Da Vinci 42, I-20133 Milan, Italy.
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- Riboldi, Marco (author)
- Politecn Milan, CartCasLab, Dept Elect Informat & Bioengn, Piazza Leonardo Da Vinci 42, I-20133 Milan, Italy.;Ludwig Maximilians Univ Munchen, Fac Phys, Coloumbwall 1, D-5748 Garching, Germany.
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- Chang, Yong Jun (author)
- KTH,Medicinteknik och hälsosystem
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- Smedby, Örjan, 1956- (author)
- KTH,Medicinsk avbildning
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- Wang, Chunliang, 1980- (author)
- KTH,Medicinsk avbildning
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(creator_code:org_t)
- ELSEVIER SCI LTD, 2018
- 2018
- English.
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In: Physica medica (Testo stampato). - : ELSEVIER SCI LTD. - 1120-1797 .- 1724-191X. ; 54, s. 21-29
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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- Purpose: A new set of quantitative features that capture intensity changes in PET/CT images over time and space is proposed for assessing the tumor response early during chemoradiotherapy. The hypothesis whether the new features, combined with machine learning, improve outcome prediction is tested. Methods: The proposed method is based on dividing the tumor volume into successive zones depending on the distance to the tumor border. Mean intensity changes are computed within each zone, for CT and PET scans separately, and used as image features for tumor response assessment. Doing so, tumors are described by accounting for temporal and spatial changes at the same time. Using linear support vector machines, the new features were tested on 30 non-small cell lung cancer patients who underwent sequential or concurrent chemoradiotherapy. Prediction of 2-years overall survival was based on two PET-CT scans, acquired before the start and during the first 3 weeks of treatment. The predictive power of the newly proposed longitudinal pattern features was compared to that of previously proposed radiomics features and radiobiological parameters. Results: The highest areas under the receiver operating characteristic curves were 0.98 and 0.93 for patients treated with sequential and concurrent chemoradiotherapy, respectively. Results showed an overall comparable performance with respect to radiomics features and radiobiological parameters. Conclusions: A novel set of quantitative image features, based on underlying tumor physiology, was computed from PET/CT scans and successfully employed to distinguish between early responders and non-responders to chemoradiotherapy.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- Early tumor response
- Feature extraction
- Non-small cell lung cancer
- PET/CT
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Buizza, Giulia
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Toma-Dasu, Iulia ...
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Lazzeroni, Marta
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Paganelli, Chiar ...
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Riboldi, Marco
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Chang, Yong Jun
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Smedby, Örjan, 1 ...
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Wang, Chunliang, ...
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Radiology Nuclea ...
- Articles in the publication
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Physica medica ( ...
- By the university
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Royal Institute of Technology
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Karolinska Institutet