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Recruiting NCT07681245

Label-free Femtosecond Laser Imaging Combined With the Fast Lung Artificial Intelligence Model for Rapid Intraoperative Diagnosis of Lung Surgical Specimens: A Multicentre, Prospective, Parallel-workflow, Non-inferiority Study.

Observational Lung Cancer

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Femtosecond Laser Imaging, Frozen Section Diagnosis.
Who it may be relevant to
Registry conditions: Lung Cancer. Basic parameters: 18 years — 90 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

This study aims to evaluate whether femtosecond laser imaging combined with FastLung AI model can provide intraoperative diagnostic performance that is non-inferior to standard frozen section diagnosis for pulmonary nodules or suspected pulmonary tumor lesions. Patients scheduled for lung surgery and requiring intraoperative pathological assessment will be prospectively enrolled. After tumor excision, the fresh tumor specimen will be bisected through the central plane. One half will be used for standard frozen section diagnosis, and the mirrored counterpart will be used for femtosecond laser imaging. Both diagnostic results will be compared with the final paraffin-embedded pathological diagnosis as the reference standard. The results of femtosecond laser imaging will not guide intraoperative clinical decision-making.

Detailed description

This is a prospective, multicenter, paired diagnostic accuracy study designed to evaluate the non-inferiority of femtosecond laser imaging compared with standard frozen section diagnosis for intraoperative assessment of pulmonary nodules or suspected pulmonary tumor lesions.

Eligible patients with pulmonary nodules, pulmonary space-occupying lesions, or suspected pulmonary tumor lesions who are scheduled to undergo surgical resection and require intraoperative pathological assessment will be prospectively enrolled from participating centers. After surgical excision of the tumor specimen, the fresh specimen will be bisected through the central plane. One half of the specimen will be submitted for routine frozen section diagnosis, while the mirrored counterpart will be used for femtosecond laser imaging. This paired design is intended to allow spatially corresponding comparison between the two diagnostic methods while preserving routine clinical workflow.

Frozen section diagnosis will be performed according to standard intraoperative pathological procedures and will continue to guide intraoperative clinical decision-making. Femtosecond laser imaging will be performed on fresh tissue specimens for research purposes. The imaging results will be recorded for diagnostic performance evaluation but will not be used to guide intraoperative surgical decisions.

The diagnostic results of femtosecond laser imaging and frozen section diagnosis will both be compared with the final paraffin-embedded pathological diagnosis, which will serve as the reference standard. The primary objective is to determine whether the diagnostic accuracy of femtosecond laser imaging is non-inferior to that of frozen section diagnosis. Secondary objectives may include comparisons of sensitivity, specificity, positive predictive value, negative predictive value, diagnostic concordance, and intraoperative assessment time between the two methods.

Interventions

  • Diagnostic test Femtosecond Laser Imaging
    Fresh surgical specimens will be examined intraoperatively using femtosecond laser imaging. The imaging results will be recorded for diagnostic performance evaluation and compared with final paraffin pathology. The results will not guide intraoperative clinical decision-making.
  • Diagnostic test Frozen Section Diagnosis
    Fresh tumor specimens will be evaluated intraoperatively by standard frozen section pathology. After the tumor is bisected through the central plane, one half of the specimen will be submitted for frozen section diagnosis, while the mirrored counterpart will be used for femtosecond laser imaging. Frozen section diagnosis will be used for routine intraoperative clinical decision-making and will also be compared with final paraffin pathology.

Primary outcome measures

  • Non-inferiority performance threshold [Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.]
Secondary outcome measures (4)
  • Workflow turnaround time [Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.]
  • Accuracy for invasive versus non-invasive/minimally invasive adenocarcinoma-spectrum lesions. [Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.]
  • Sensitivity [Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.]
  • Specificity [Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.]

Eligibility criteria

Inclusion criteria

  • Preoperative imaging suggests a pulmonary nodule, pulmonary space-occupying lesion, or suspected pulmonary tumor lesion.
  • The participant is scheduled to undergo pulmonary wedge resection, segmentectomy, lobectomy, or other pulmonary surgery.
  • Fresh lung tissue specimens can be obtained intraoperatively for femtosecond laser imaging.
  • Intraoperative frozen section diagnosis is planned to assess the nature of the tumor lesion.
  • Corresponding postoperative paraffin-embedded pathological diagnosis can be obtained.
  • The participant or the participant's legally authorized representative has signed the written informed consent form.

Exclusion criteria

  • The intraoperative specimen is insufficient and cannot simultaneously meet the requirements for routine clinical pathological diagnosis and research-related testing.
  • The specimen shows severe carbonization, necrosis, compression, contamination, or improper preservation, and the investigator determines that effective imaging cannot be completed.
  • The femtosecond laser imaging specimen cannot be matched with the corresponding lesion assessed by final paraffin pathology.
  • Final paraffin-embedded pathological diagnosis cannot be obtained.
  • The participant withdraws informed consent.
  • Other conditions that, in the opinion of the investigator, make the participant unsuitable for this study.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

China · 5 centers
  • Dongfang Hospital — Shanghai
  • Huadong Hospital — Shanghai
  • Shanghai Chest Hospital — Shanghai
  • Tongji Hospital — Shanghai
  • Tongren Hospital — Shanghai

Publications

  • Xu X, Chung JH, Jheon S, Sung SW, Lee CT, Lee JH, Choe G. The accuracy of frozen section diagnosis of pulmonary nodules: evaluation of inflation method during intraoperative pathology consultation with cryosection. J Thorac Oncol. 2010 Jan;5(1):39-44. doi: 10.1097/JTO.0b013e3181c09f9c. PMID 19934776
  • Hollon TC, Pandian B, Adapa AR, Urias E, Save AV, Khalsa SSS, Eichberg DG, D'Amico RS, Farooq ZU, Lewis S, Petridis PD, Marie T, Shah AH, Garton HJL, Maher CO, Heth JA, McKean EL, Sullivan SE, Hervey-Jumper SL, Patil PG, Thompson BG, Sagher O, McKhann GM 2nd, Komotar RJ, Ivan ME, Snuderl M, Otten ML, Johnson TD, Sisti MB, Bruce JN, Muraszko KM, Trautman J, Freudiger CW, Canoll P, Lee H, Camelo-Pir PMID 31907460
  • Lan C, Peng Y, Bai M, Zuo H, Li Y, Wu H, Zhang T, Zhu X, He J, Guo D, Chen X, Zhao H, Gao H. Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment. NPJ Digit Med. 2025 Dec 17;9(1):32. doi: 10.1038/s41746-025-02202-z. PMID 41402452

Identifiers

NCT: NCT07681245 · FastLung · 2025SZ1002

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗