Comparison of Postoperative Recurrence Prediction Capability among CEST, DWI, PET/CT and Combined Indexes in Stage I Non-Small Cell Lung Cancer

Motivation: CEST has a potential to play a complementary role for prediction of postoperative recurrence and improve the prediction capability as compared with DWI, CEST and FDG-PET/CT in NSCLC patients. Goal(s): The goal was to compare the quantitative prediction capability for postoperative recurrence of FDG-PET/CT and MRI-based molecular information from CEST and DWI in stage I NSCLC patients. Approach: This clinical study examined CEST imaging, DWI and FDG-PET/CT, and all indexes and combined predictors were compared prediction capabilities in NSCLC. Results: Specificities and accuracies of MTRasym, ADC and combined predictors were significantly higher than those of SUVmax (p<0.05). Impact: MRI-based molecular information has better potential for prediction of postoperative recurrence than FDG-PET/CT in stage I NSCLC patients. Moreover, combined CEST and DWI information can improve prediction capability of CEST imaging in this setting.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1065
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Comparison of Postoperative Recurrence Prediction Capability among CEST, DWI, PET/CT and Combined Indexes in Stage I Non-Small Cell Lung Cancer

Masao Yui, Daisuke Takenaka, Takeshi Yoshikawa, Hiroyuki Nagata et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Comparison of Postoperative Recurrence Prediction Capability among CEST, DWI, PET/CT and Combined Indexes in Stage I Non-Small Cell Lung Cancer

Masao Yui, Daisuke Takenaka, Takeshi Yoshikawa, Hiroyuki Nagata, Kaori Yamamoto, Yoshiharu Ohno, Masato Ikedo, Takahiro Ueda, Yoshiyuki Ozawa, Masahiko Nomura, Masanori Ozaki
article en

Abstract

Motivation: CEST has a potential to play a complementary role for prediction of postoperative recurrence and improve the prediction capability as compared with DWI, CEST and FDG-PET/CT in NSCLC patients. Goal(s): The goal was to compare the quantitative prediction capability for postoperative recurrence of FDG-PET/CT and MRI-based molecular information from CEST and DWI in stage I NSCLC patients. Approach: This clinical study examined CEST imaging, DWI and FDG-PET/CT, and all indexes and combined predictors were compared prediction capabilities in NSCLC. Results: Specificities and accuracies of MTRasym, ADC and combined predictors were significantly higher than those of SUVmax (p<0.05). Impact: MRI-based molecular information has better potential for prediction of postoperative recurrence than FDG-PET/CT in stage I NSCLC patients. Moreover, combined CEST and DWI information can improve prediction capability of CEST imaging in this setting.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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Comparison of Postoperative Recurrence Prediction Capability among CEST, DWI, PET/CT and Combined Indexes in Stage I Non-Small Cell Lung Cancer — Masao Yui, Daisuke Takenaka, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS