Yoshiharu Ohno1, Hisanobu Koyama2, Yasuko Fujisawa3, Takeshi Yoshikawa4, Shinichiro Seki2, Naoki Sugihara3, Kazuro Sugimura2. 1. Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan. Electronic address: yosirad@kobe-u.ac.jp. 2. Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan. 3. Toshiba Medical Systems Corporation, Otawara, Japan. 4. Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Abstract
PURPOSE: To determine the capability and influence of the mathematical method on dynamic contrast-enhanced (CE-) perfusion area detector CT (ADCT) for early prediction of treatment response as well as progression free and overall survival (PFS and OS) of non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy. MATERIALS AND METHODS: Sixty-six consecutive stage III NSCLC patients underwent dynamic CE-perfusion ADCT examinations, chemoradiotherapy and follow-up examinations. Response Evaluation Criteria in Solid Tumors (RECIST) criteria were used to divide all patients into responders and non-responders. Differences in each of the indices for all targeted lesions between measurements obtained 2 weeks prior to the first and the third course of chemotherapy were determined for all patients. ROC analyses were employed to determine the capability of perfusion indices as markers for distinguishing RECIST responders from non-responders. To evaluate their capability for early prediction of therapeutic effect, OS of perfusion index-based responders and non-responders were compared by using the Kaplan-Meier method followed by log-rank test. RESULTS: Area under the curve (Az) for total perfusion by means of the dual-input maximum slope method was significantly larger than that of pulmonary arterial perfusion using the same method (p=0.007) and of perfusion with the single-input maximum slope method (p=0.007). Mean OS demonstrated significantly difference between responder- and non-responder groups for total perfusion (p=0.02). CONCLUSION: Mathematical models have significant influence on assessment for early prediction of treatment response, disease progression and overall survival using dynamic CE-perfusion ADCT for NSCLC patients treated with chemoradiotherapy.
PURPOSE: To determine the capability and influence of the mathematical method on dynamic contrast-enhanced (CE-) perfusion area detector CT (ADCT) for early prediction of treatment response as well as progression free and overall survival (PFS and OS) of non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy. MATERIALS AND METHODS: Sixty-six consecutive stage III NSCLCpatients underwent dynamic CE-perfusion ADCT examinations, chemoradiotherapy and follow-up examinations. Response Evaluation Criteria in Solid Tumors (RECIST) criteria were used to divide all patients into responders and non-responders. Differences in each of the indices for all targeted lesions between measurements obtained 2 weeks prior to the first and the third course of chemotherapy were determined for all patients. ROC analyses were employed to determine the capability of perfusion indices as markers for distinguishing RECIST responders from non-responders. To evaluate their capability for early prediction of therapeutic effect, OS of perfusion index-based responders and non-responders were compared by using the Kaplan-Meier method followed by log-rank test. RESULTS: Area under the curve (Az) for total perfusion by means of the dual-input maximum slope method was significantly larger than that of pulmonary arterial perfusion using the same method (p=0.007) and of perfusion with the single-input maximum slope method (p=0.007). Mean OS demonstrated significantly difference between responder- and non-responder groups for total perfusion (p=0.02). CONCLUSION: Mathematical models have significant influence on assessment for early prediction of treatment response, disease progression and overall survival using dynamic CE-perfusion ADCT for NSCLCpatients treated with chemoradiotherapy.
Authors: Yoshiharu Ohno; Joon Beom Seo; Grace Parraga; Kyung Soo Lee; Warren B Gefter; Sean B Fain; Mark L Schiebler; Hiroto Hatabu Journal: Radiology Date: 2021-04-06 Impact factor: 29.146
Authors: Florent L Besson; Brice Fernandez; Sylvain Faure; Olaf Mercier; Andrei Seferian; Xavier Mignard; Sacha Mussot; Cecile le Pechoux; Caroline Caramella; Angela Botticella; Antonin Levy; Florence Parent; Sophie Bulifon; David Montani; Delphine Mitilian; Elie Fadel; David Planchard; Benjamin Besse; Maria-Rosa Ghigna-Bellinzoni; Claude Comtat; Vincent Lebon; Emmanuel Durand Journal: EJNMMI Res Date: 2020-07-30 Impact factor: 3.138