- ICH GCP
- Registr klinických studií v USA
- Klinická studie NCT07559123
Imaging-based PRediction of Eligibility for ChemoImmunotherapy in reSEctable NSCLC, iPRECISE (iPRECISE)
This study is for adults with resectable non-small cell lung cancer who are scheduled to receive neoadjuvant chemoimmunotherapy before surgery.
Neoadjuvant chemoimmunotherapy can help shrink lung cancer before surgery and may improve treatment outcomes. However, not all patients benefit from this treatment in the same way, and it can sometimes cause side effects, such as immune-related pneumonitis. At present, it is still difficult to predict before or during treatment which patients will have a strong response.
The purpose of this study is to find imaging features on chest computed tomography scans that may help predict how well a patient's cancer responds to neoadjuvant chemoimmunotherapy. The study will compare computed tomography findings before treatment and before surgery with pathologic findings from surgery, including pathologic complete response and major pathologic response. The study will also evaluate whether computed tomography-based imaging features are associated with treatment-related side effects and long-term outcomes such as disease progression and survival.
This is an observational study. The investigators will not assign participants to a specific cancer treatment. Participants will receive neoadjuvant chemoimmunotherapy and surgery according to standard clinical practice. Chest computed tomography scans will be obtained before treatment and before surgery as part of the study protocol. These computed tomography images will also be reconstructed using a high-resolution deep learning-based computed tomography reconstruction technique to explore whether this approach can improve the development of imaging biomarkers.
The results of this study may help develop a noninvasive imaging-based model to identify patients who are more likely to benefit from neoadjuvant chemoimmunotherapy and to better guide treatment planning for resectable non-small cell lung cancer.
Přehled studie
Postavení
Podmínky
Intervence / Léčba
Detailní popis
This is a prospective observational study designed to evaluate imaging biomarkers in patients with resectable non-small cell lung cancer who receive neoadjuvant chemoimmunotherapy before planned surgery.
Neoadjuvant chemoimmunotherapy has become an important treatment option for resectable non-small cell lung cancer. Although pathologic complete response and major pathologic response are associated with favorable outcomes, reliable noninvasive methods for predicting these responses remain limited. Imaging biomarkers derived from computed tomography may provide a quantitative and repeatable way to assess tumor burden, nodal disease, treatment response, and treatment-related lung toxicity over time.
In this study, participants will undergo chest computed tomography before starting neoadjuvant chemoimmunotherapy and again after completion of neoadjuvant treatment before surgery. If disease progression is clinically suspected before planned surgery, an additional computed tomography scan may be performed and used for response assessment. Computed tomography scans will be acquired using a standardized imaging protocol. In addition to conventional computed tomography reconstruction, high-resolution deep learning-based computed tomography reconstruction will be applied after image acquisition.
The study will evaluate imaging features of the primary tumor, lymph nodes, suspected extranodal extension, adjacent structure involvement, radiologic treatment response, and possible immune-related pneumonitis. Imaging findings will be compared with clinical data, molecular and immunohistochemical findings, and surgical pathology findings, including pathologic complete response, major pathologic response, final pathologic stage, extranodal extension, and spread through air spaces when available.
The study will also explore whether imaging biomarkers are associated with progression-free survival, overall survival, treatment-related pneumonitis, and whether high-resolution deep learning-based CT reconstruction improves imaging biomarker development compared with conventional reconstruction. The anticipated enrollment is 150 participants.
Typ studie
Zápis (Odhadovaný)
Kontakty a umístění
Studijní kontakt
- Jméno: Ho Yun Lee, Prof.
- Telefonní číslo: 82-02-3410-2502
- E-mail: hoyunlee96@gmail.com
Studijní místa
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Seoul, Jižní Korea
- Nábor
- Samsung Medical Center
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Kontakt:
- Ho Yun Lee, Prof.
- Telefonní číslo: 82-02-3410-2502
- E-mail: hoyunlee96@gmail.com
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-
Kritéria účasti
Kritéria způsobilosti
Věk způsobilý ke studiu
- Dospělý
- Starší dospělý
Přijímá zdravé dobrovolníky
Metoda odběru vzorků
Studijní populace
The study population will include adult patients with resectable non-small cell lung cancer of stage IIIA or lower who are scheduled to receive neoadjuvant chemoimmunotherapy before surgery at Samsung Medical Center. Participants will be enrolled prospectively after providing written informed consent. Treatment decisions, including the use of neoadjuvant chemoimmunotherapy and surgery, will be made according to standard clinical practice and will not be assigned by the investigators.
Participants will undergo chest computed tomography before neoadjuvant chemoimmunotherapy and before surgery as part of the study protocol. Imaging, clinical, molecular, and pathologic data will be collected to evaluate computed tomography-based imaging biomarkers associated with treatment response, pathologic response, treatment-related pneumonitis, and clinical outcomes.
Popis
Inclusion Criteria:
- Age: 18 years or older.
- Diagnosis: Histologically or cytologically confirmed non-small cell lung cancer (NSCLC).
- Staging: Resectable NSCLC of stage IIIA or lower.
- Treatment Plan: Planned to receive neoadjuvant chemoimmunotherapy before surgery according to standard clinical practice.
- Performance Status: Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1.
- Informed Consent: Able and willing to provide written informed consent after receiving a detailed explanation of the study.
Exclusion Criteria:
- No Measurable Lesion: Participants must have at least one measurable lesion (>= 10 mm on spiral/multidetector computed tomography).
- Prior Malignancy: History of another malignancy within 5 years before enrollment (excluding adequately treated basal cell skin carcinoma or cervical carcinoma in situ).
- Neurological/Psychiatric Conditions: History of clinically significant uncontrolled seizures, CNS disease, or psychiatric disorders that may interfere with study participation or consent.
- Contrast Allergy: History of severe allergic reaction to iodinated CT contrast media.
- Renal Impairment: Acute renal failure or moderate to severe renal impairment (CrCl < 45 mL/min/1.73 m² or serum creatinine > 1.5x upper limit of normal).
- Recent Surgery: Major surgery within 4 weeks of enrollment or incomplete recovery from major surgery.
- Pregnancy/Nursing: Currently pregnant or breastfeeding; women of childbearing potential without a negative baseline pregnancy test.
- Contraception: Men or women of childbearing potential unwilling to use appropriate contraception during the study.
Studijní plán
Jak je studie koncipována?
Detaily designu
Co je měření studie?
Primární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Predictive performance of computed tomography-based imaging biomarkers for pathologic complete response
Časové okno: From baseline computed tomography before neoadjuvant chemoimmunotherapy to surgical pathology assessment after surgery, up to 6 months after enrollment.
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The predictive performance of imaging biomarkers derived from contrast-enhanced chest computed tomography scans obtained before and after neoadjuvant chemoimmunotherapy will be evaluated for pathologic complete response.
Pathologic complete response will be assessed using surgical pathology findings after resection.
Predictive performance will be measured using model discrimination, including the area under the receiver operating characteristic curve.
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From baseline computed tomography before neoadjuvant chemoimmunotherapy to surgical pathology assessment after surgery, up to 6 months after enrollment.
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Sekundární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Association between computed tomography-based imaging biomarkers and progression-free survival
Časové okno: From initiation of neoadjuvant chemoimmunotherapy through disease progression, recurrence, death, or last follow-up, up to study completion.
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The association between computed tomography-based imaging biomarkers and progression-free survival will be evaluated.
Progression-free survival is defined as the time from initiation of neoadjuvant chemoimmunotherapy to disease progression, recurrence, or death, whichever occurs first.
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From initiation of neoadjuvant chemoimmunotherapy through disease progression, recurrence, death, or last follow-up, up to study completion.
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Spolupracovníci a vyšetřovatelé
Sponzor
Publikace a užitečné odkazy
Obecné publikace
- She Y, He B, Wang F, Zhong Y, Wang T, Liu Z, Yang M, Yu B, Deng J, Sun X, Wu C, Hou L, Zhu Y, Yang Y, Hu H, Dong D, Chen C, Tian J. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study. EBioMedicine. 2022 Dec;86:104364. doi: 10.1016/j.ebiom.2022.104364. Epub 2022 Nov 14.
- Greffier J, Pastor M, Si-Mohamed S, Goutain-Majorel C, Peudon-Balas A, Bensalah MZ, Frandon J, Beregi JP, Dabli D. Comparison of two deep-learning image reconstruction algorithms on cardiac CT images: A phantom study. Diagn Interv Imaging. 2024 Mar;105(3):110-117. doi: 10.1016/j.diii.2023.10.004. Epub 2023 Nov 8.
- Marinelli D, Nuccio A, Di Federico A, Ambrosi F, Bertoglio P, Faccioli E, Ferrara R, Ferro A, Giusti R, Guerrera F, Mammana M, Pittaro A, Sepulcri M, Viscardi G, Gallina FT. Improved Event-Free Survival After Complete or Major Pathologic Response in Patients With Resectable NSCLC Treated With Neoadjuvant Chemoimmunotherapy Regardless of Adjuvant Treatment: A Systematic Review and Individual Patient Data Meta-Analysis. J Thorac Oncol. 2025 Mar;20(3):285-295. doi: 10.1016/j.jtho.2024.09.1443. Epub 2024 Oct 9.
- Sorin M, Prosty C, Ghaleb L, Nie K, Katergi K, Shahzad MH, Dube LR, Atallah A, Swaby A, Dankner M, Crump T, Walsh LA, Fiset PO, Sepesi B, Forde PM, Cascone T, Provencio M, Spicer JD. Neoadjuvant Chemoimmunotherapy for NSCLC: A Systematic Review and Meta-Analysis. JAMA Oncol. 2024 May 1;10(5):621-633. doi: 10.1001/jamaoncol.2024.0057.
- Forde PM, Spicer J, Lu S, Provencio M, Mitsudomi T, Awad MM, Felip E, Broderick SR, Brahmer JR, Swanson SJ, Kerr K, Wang C, Ciuleanu TE, Saylors GB, Tanaka F, Ito H, Chen KN, Liberman M, Vokes EE, Taube JM, Dorange C, Cai J, Fiore J, Jarkowski A, Balli D, Sausen M, Pandya D, Calvet CY, Girard N; CheckMate 816 Investigators. Neoadjuvant Nivolumab plus Chemotherapy in Resectable Lung Cancer. N Engl J Med. 2022 May 26;386(21):1973-1985. doi: 10.1056/NEJMoa2202170. Epub 2022 Apr 11.
Termíny studijních záznamů
Hlavní termíny studia
Začátek studia (Aktuální)
Primární dokončení (Odhadovaný)
Dokončení studie (Odhadovaný)
Termíny zápisu do studia
První předloženo
První předloženo, které splnilo kritéria kontroly kvality
První zveřejněno (Aktuální)
Aktualizace studijních záznamů
Poslední zveřejněná aktualizace (Aktuální)
Odeslaná poslední aktualizace, která splnila kritéria kontroly kvality
Naposledy ověřeno
Více informací
Termíny související s touto studií
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