Initial sarcopenia and body composition changes as prognostic factors in cervical cancer patients treated with concurrent chemoradiation: An artificial intelligence-based volumetric study

This study aimed to investigate the influence of baseline sarcopenia and changes in body composition on survival during cervical cancer treatment. Patients diagnosed with stage IB1-IVB cervical cancer who underwent primary concurrent chemoradiation therapy (CCRT) between 2002 and 2022 were included....

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Bibliographic Details
Published in:Gynecologic oncology 2024-11, Vol.190, p.200-208
Main Authors: Lim, Hyunji, Kim, Se Ik, Kim, Min Kyung, Yoon, Soon Ho, Lee, Maria, Suh, Dong Hoon, Kim, Hee Seung, Kim, Kidong, No, Jae Hong, Chung, Hyun Hoon, Kim, Yong Beom, Park, Noh Hyun, Kim, Jae-Weon
Format: Article
Language:English
Subjects:
Adult
Aged
Artificial Intelligence
Body Composition
Cervical cancer
Chemoradiotherapy - adverse effects
Chemoradiotherapy - methods
Female
Humans
Middle Aged
Prognosis
Retrospective Studies
Sarcopenia
Sarcopenia - diagnostic imaging
Sarcopenia - etiology
Tomography, X-Ray Computed
Uterine Cervical Neoplasms - diagnostic imaging
Uterine Cervical Neoplasms - mortality
Uterine Cervical Neoplasms - pathology
Uterine Cervical Neoplasms - therapy
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Summary:This study aimed to investigate the influence of baseline sarcopenia and changes in body composition on survival during cervical cancer treatment. Patients diagnosed with stage IB1-IVB cervical cancer who underwent primary concurrent chemoradiation therapy (CCRT) between 2002 and 2022 were included. The exclusion criteria were prior radical hysterectomy, lack of pretreatment computed tomography (CT) imaging, or significant comorbidities. An artificial intelligence-based automatic segmentation program assessed body composition by analyzing CT images, defining L3 sarcopenia (L3 skeletal muscle index [SMI]
ISSN:0090-8258
1095-6859
1095-6859
DOI:10.1016/j.ygyno.2024.08.021