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Shimizu K, Nakata M, Saisho S, Inubushi M, Okumura N, Murakawa T, Yamashita M, Nakamura H, Sano Y, Kataoka K, Toyooka S. Predictive Value of PERCIST for Locally Advanced Non-Small Cell Lung Cancer Treated with Preoperative Induction Therapy - A Multicenter Study in Japan. Cancer Manag Res 2024; 16:965-976. [PMID: 39099761 PMCID: PMC11297483 DOI: 10.2147/cmar.s464265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/23/2024] [Indexed: 08/06/2024] Open
Abstract
Background Induction therapy followed by surgery is recommended as an alternative treatment strategy for locally advanced non-small cell lung cancer (NSCLC). Patients who achieve pathologic response after induction therapy have better outcomes than non-responders; therefore, therapeutic response must be evaluated. Recently, new approaches for monitoring therapeutic responses, which are based on 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET), have been developed. In this study, we evaluated the predictive value of Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST), which uses standardized uptake values corrected for lean body mass (SUL) and total lesion glycolysis (TLG). Methods A total of 130 patients in the Setouchi Lung Cancer Group who underwent FDG-PET imaging before and after induction therapy prior to a planned surgical resection for NSCLC between 2007 and 2016 were studied retrospectively. The pathologic responses of the primary lung tumors and metastatic lymph nodes were compared with their responses based on evaluation using PERCIST. Results Postoperative pathologic studies revealed pathologic complete response (pCR) in 42 (32.3%) patients. PERCIST was significantly correlated with pathologic response (p < 0.001). The sensitivity, specificity, and accuracy of PERCIST for predicting pCR were 16.7% (7/42), 88.6% (78/88), and 65.4% (85/130), respectively. Patients with pCR had significantly higher reduction rates in SULpeak for both primary lung tumors and metastatic lymph nodes and TLG for primary tumors than non-responders. In a multivariate Cox regression analysis, tumor site in upper lobes, reduction rate of TLG in primary tumor, and pathologic N0 were independent predictors of favorable recurrence-free survival (RFS). Conclusion Our study suggested that PERCIST, especially the rate of TLG reduction rate, are useful to predict the pathological response and prognosis after induction therapy. Although improvement is necessary, PERCIST can be a promising method of the post-induction status in lung cancer. Further research is needed to confirm our findings.
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Affiliation(s)
- Katsuhiko Shimizu
- Department of General Thoracic Surgery, Kawasaki Medical School, Kurashiki, Japan
| | - Masao Nakata
- Department of General Thoracic Surgery, Kawasaki Medical School, Kurashiki, Japan
| | - Shinsuke Saisho
- Department of General Thoracic Surgery, Kawasaki Medical School, Kurashiki, Japan
| | - Masayuki Inubushi
- Division of Nuclear Medicine, Department of Radiology, Kawasaki Medical School, Kurashiki, Japan
| | - Norihito Okumura
- Department of Thoracic Surgery, Kurashiki Central Hospital, Kurashiki, Japan
| | - Tomohiro Murakawa
- Department of Thoracic Surgery, Kansai Medical University, Osaka, Japan
| | | | - Hiroshige Nakamura
- Division of General Thoracic Surgery, Tottori University Hospital, Yonago, Japan
| | - Yoshifumi Sano
- Department of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan
| | - Kazuhiko Kataoka
- Department of Thoracic Surgery, National Hospital Organization Iwakuni Clinical Center, Iwakuni, Japan
| | - Shinichi Toyooka
- Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
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Kaida H, Kitajima K, Nakajo M, Ishibashi M, Matsunaga T, Minamimoto R, Hirata K, Nakatani K, Hung A, Hattori S, Yasuda T, Ishii K. Predicting tumor response and prognosis to neoadjuvant chemotherapy in esophageal squamous cell carcinoma patients using PERCIST: a multicenter study in Japan. Eur J Nucl Med Mol Imaging 2021; 48:3666-3682. [PMID: 33934168 DOI: 10.1007/s00259-021-05365-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 04/11/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE To investigate the usefulness of the positron emission tomography response criteria in solid tumors 1.0 (PERCIST1.0) for predicting tumor response to neoadjuvant chemotherapy and prognosis and determine whether PERCIST improvements are necessary for esophageal squamous cell carcinoma (ESCC) patients. PATIENTS AND METHODS We analyzed the cases of 177 ESCC patients and examined the association between PERCIST and their pathological responses. Associations of whole-PERCIST with progression-free survival (PFS) and overall survival (OS) were evaluated by a Kaplan-Meier analysis and Cox proportional hazards model. To investigate potential PERCIST improvements, we used the survival tree technique to understand patients' prognoses. RESULTS There were significant correlations between the pathologic response and PERCIST of primary tumor (p < 0.001). The optimal cutoff value of the primary tumors' SULpeak response to classify pathologic responses was -50.0%. The diagnostic accuracy of SULpeak response was 87.3% sensitivity, 54.1% specificity, 68.9% accuracy, positive predictive value 60.5%, and negative predictive value 84.1%. Whole-PERCIST was significantly associated with PFS and OS. The survival tree results indicated that a high reduction of the whole SULpeak response was significantly correlated with the patients' prognoses. The cutoff values for the separation of prognoses were - 52.5 for PFS and - 47.1% for OS. CONCLUSION PERCIST1.0 can help predict tumor responses and prognoses. However, 18F-FDG-PET/CT tends to underestimate residual tumors in histopathological response evaluations. Modified PERCIST, in which the partial metabolic response is further classified by the SULpeak response (-50%), might be more appropriate than PERCIST1.0 for evaluating tumor responses and stratifying high-risk patients for recurrence and poor prognosis.
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Affiliation(s)
- Hayato Kaida
- Department of Radiology, Kindai University Faculty of Medicine, 377-2, Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan.
| | - Kazuhiro Kitajima
- Department of Radiology, Division of Nuclear Medicine and PET Center, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan
| | - Masatoyo Nakajo
- Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-5-31, Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Mana Ishibashi
- Division of Radiology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, 36-1, Nishi-cho, Yonago, Tottori, 683-8504, Japan
| | - Tomoyuki Matsunaga
- Division of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Tottori University of Faculty of Medicine, 36-1, Nishi-cho, Yonago, Tottori, 683-8504, Japan
| | - Ryogo Minamimoto
- Division of Nuclear Medicine, Department of Radiology, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Kenji Hirata
- Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Kita15, Nishi 7, Kita-Ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Koya Nakatani
- Department of Diagnostic Radiology, Kurashiki Central Hospital, 1-1-1, Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Ao Hung
- Department of Biomedical Statistics, Osaka University Graduate School of Medicine, 2-2, Yamadagaoka, Suita, Osaka, 565-0871, Japan
| | - Satoshi Hattori
- Department of Biomedical Statistics, Osaka University Graduate School of Medicine, 2-2, Yamadagaoka, Suita, Osaka, 565-0871, Japan.,Institute for Open and Transdisciplinary Research Initiative, Osaka University, 2-2, Yamadagaoka, Suita, Osaka, 565-0871, Japan
| | - Takushi Yasuda
- Department of Surgery, Kindai University Faculty of Medicine, 377-2, Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan
| | - Kazunari Ishii
- Department of Radiology, Kindai University Faculty of Medicine, 377-2, Ohnohigashi, Osakasayama, Osaka, 589-8511, Japan
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