M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma
Purpose: To establish a risk classification of de novo metastatic nasopharyngeal carcinoma (mNPC) patients based on 18 F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET-CT) radiomics parameters to identify suitable candidates for locoregional radiotherapy (LRRT). M...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2022-08-01
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| Series: | Therapeutic Advances in Medical Oncology |
| Online Access: | https://doi.org/10.1177/17588359221118785 |
| _version_ | 1818085694856232960 |
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| author | Hui-Zhi Qiu Xu Zhang Sai-Lan Liu Xue-Song Sun Yi-Wen Mo Huan-Xin Lin Zi-Jian Lu Jia Guo Lin-Quan Tang Hai-Qiang Mai Li-Ting Liu Ling Guo |
| author_facet | Hui-Zhi Qiu Xu Zhang Sai-Lan Liu Xue-Song Sun Yi-Wen Mo Huan-Xin Lin Zi-Jian Lu Jia Guo Lin-Quan Tang Hai-Qiang Mai Li-Ting Liu Ling Guo |
| author_sort | Hui-Zhi Qiu |
| collection | DOAJ |
| description | Purpose: To establish a risk classification of de novo metastatic nasopharyngeal carcinoma (mNPC) patients based on 18 F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET-CT) radiomics parameters to identify suitable candidates for locoregional radiotherapy (LRRT). Methods: In all, 586 de novo mNPC patients who underwent 18 F-FDG PET-CT prior to palliative chemotherapy (PCT) were involved. A Cox regression model was performed to identify prognostic factors for overall survival (OS). Candidate PET-CT parameters were incorporated into the PET-CT parameter score (PPS). Recursive partitioning analysis (RPA) was applied to construct a risk stratification system. Results: Multivariate Cox regression analyses revealed that total lesion glycolysis of locoregional lesions (LRL-TLG), the number of bone metastases (BMs), metabolic tumor volume of distant soft tissue metastases (DSTM-MTV), pretreatment Epstein–Barr virus DNA (EBV DNA), and liver involvement were independent prognosticators for OS. The number of BMs, LRL-TLG, and DSTM-MTV were incorporated as the PPS. Eligible patients were divided into three stages by the RPA-risk stratification model: M1a (low risk, PPS low + no liver involvement), M1b (intermediate risk, PPS low + liver involvement, PPS high + low EBV DNA), and M1c (high risk, PPS high + high EBV DNA). PCT followed by LRRT displayed favorable OS rates compared to PCT alone in M1a patients ( p < 0.001). No significant survival difference was observed between PCT plus LRRT and PCT alone in M1b and M1c patients ( p > 0.05). Conclusions: The PPS-based RPA stratification model could identify suitable candidates for LRRT. Patients with stage M1a disease could benefit from LRRT. |
| first_indexed | 2024-12-10T20:13:52Z |
| format | Article |
| id | doaj.art-648a8b7fb12f44a4b52cd0d08c5cc22e |
| institution | Directory Open Access Journal |
| issn | 1758-8359 |
| language | English |
| last_indexed | 2024-12-10T20:13:52Z |
| publishDate | 2022-08-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Therapeutic Advances in Medical Oncology |
| spelling | doaj.art-648a8b7fb12f44a4b52cd0d08c5cc22e2022-12-22T01:35:15ZengSAGE PublishingTherapeutic Advances in Medical Oncology1758-83592022-08-011410.1177/17588359221118785M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinomaHui-Zhi QiuXu ZhangSai-Lan LiuXue-Song SunYi-Wen MoHuan-Xin LinZi-Jian LuJia GuoLin-Quan TangHai-Qiang MaiLi-Ting LiuLing GuoPurpose: To establish a risk classification of de novo metastatic nasopharyngeal carcinoma (mNPC) patients based on 18 F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET-CT) radiomics parameters to identify suitable candidates for locoregional radiotherapy (LRRT). Methods: In all, 586 de novo mNPC patients who underwent 18 F-FDG PET-CT prior to palliative chemotherapy (PCT) were involved. A Cox regression model was performed to identify prognostic factors for overall survival (OS). Candidate PET-CT parameters were incorporated into the PET-CT parameter score (PPS). Recursive partitioning analysis (RPA) was applied to construct a risk stratification system. Results: Multivariate Cox regression analyses revealed that total lesion glycolysis of locoregional lesions (LRL-TLG), the number of bone metastases (BMs), metabolic tumor volume of distant soft tissue metastases (DSTM-MTV), pretreatment Epstein–Barr virus DNA (EBV DNA), and liver involvement were independent prognosticators for OS. The number of BMs, LRL-TLG, and DSTM-MTV were incorporated as the PPS. Eligible patients were divided into three stages by the RPA-risk stratification model: M1a (low risk, PPS low + no liver involvement), M1b (intermediate risk, PPS low + liver involvement, PPS high + low EBV DNA), and M1c (high risk, PPS high + high EBV DNA). PCT followed by LRRT displayed favorable OS rates compared to PCT alone in M1a patients ( p < 0.001). No significant survival difference was observed between PCT plus LRRT and PCT alone in M1b and M1c patients ( p > 0.05). Conclusions: The PPS-based RPA stratification model could identify suitable candidates for LRRT. Patients with stage M1a disease could benefit from LRRT.https://doi.org/10.1177/17588359221118785 |
| spellingShingle | Hui-Zhi Qiu Xu Zhang Sai-Lan Liu Xue-Song Sun Yi-Wen Mo Huan-Xin Lin Zi-Jian Lu Jia Guo Lin-Quan Tang Hai-Qiang Mai Li-Ting Liu Ling Guo M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma Therapeutic Advances in Medical Oncology |
| title | M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma |
| title_full | M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma |
| title_fullStr | M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma |
| title_full_unstemmed | M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma |
| title_short | M1 stage subdivisions based on F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma |
| title_sort | m1 stage subdivisions based on f fdg pet ct parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma |
| url | https://doi.org/10.1177/17588359221118785 |
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