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RecruitingNCT07681245Updated Sep 4, 2026

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.

An observational study in Lung Cancer, sponsored by Shanghai Chest Hospital. Recruiting at 5 sites in China. Open to participants aged 18 Years to 90 Years. Per ClinicalTrials.gov, last updated 2026-09-04.

Sponsored by Shanghai Chest Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
294
Ages
18 Years to 90 Years
Sex
All
01

Study summary

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.

Read the 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.

02

Conditions studied

  • Lung Cancer

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Keywords

  • lung cancer
  • artificial intelligence
  • Intraoperative diagnosis
03

Who can participate

Ages eligible
18 Years to 90 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

The study population will consist of patients with pulmonary nodules, pulmonary space-occupying lesions, or suspected pulmonary tumor lesions who are scheduled to undergo surgical resection at participating centers. Eligible patients will require intraoperative pathological assessment, and fresh lung tissue specimens must be available for both femtosecond laser imaging and standard frozen section diagnosis. All participants will be prospectively enrolled according to the predefined inclusion and exclusion criteria, and the diagnostic results will be compared with the final paraffin-embedded pathological diagnosis as the reference standard.

Inclusion criteria

  1. Preoperative imaging suggests a pulmonary nodule, pulmonary space-occupying lesion, or suspected pulmonary tumor lesion.
  2. The participant is scheduled to undergo pulmonary wedge resection, segmentectomy, lobectomy, or other pulmonary surgery.
  3. Fresh lung tissue specimens can be obtained intraoperatively for femtosecond laser imaging.
  4. Intraoperative frozen section diagnosis is planned to assess the nature of the tumor lesion.
  5. Corresponding postoperative paraffin-embedded pathological diagnosis can be obtained.
  6. The participant or the participant's legally authorized representative has signed the written informed consent form.
  7. Patients had not received any antitumor treatment prior to enrollment or specimen collection, including chemotherapy, radiotherapy, targeted therapy, immunotherapy, or other systemic anticancer treatments.

Exclusion criteria

Exclusion Criteria:

  1. The intraoperative specimen is insufficient and cannot simultaneously meet the requirements for routine clinical pathological diagnosis and research-related testing.
  2. The specimen shows severe carbonization, necrosis, compression, contamination, or improper preservation, and the investigator determines that effective imaging cannot be completed.
  3. The femtosecond laser imaging specimen cannot be matched with the corresponding lesion assessed by final paraffin pathology.
  4. Final paraffin-embedded pathological diagnosis cannot be obtained.
  5. The participant withdraws informed consent.
  6. Other conditions that, in the opinion of the investigator, make the participant unsuitable for this study.
04

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
294 participants (estimated)
Target follow-up
30 Days
Patient registry
Yes

Groups and cohorts

  • Patients undergoing intraoperative pulmonary nodule diagnosis

    Patients with pulmonary nodules who are scheduled for surgical resection and require intraoperative pathological assessment. All participants will undergo femtosecond laser imaging and standard frozen section diagnosis in parallel, and both results will be compared with final paraffin pathology as the reference standard.

    Diagnostic Test: Femtosecond Laser Imaging · Diagnostic Test: Frozen Section Diagnosis

Interventions

  • Diagnostic testFemtosecond 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 testFrozen 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.

05

What researchers measure

Primary outcomes

  1. Non-inferiority performance threshold

    To determine whether FLI combined with Fast Lung achieves the prespecified non-inferiority performance threshold for benign-malignant diagnosis of the patient-level primary target lesion, using final FFPE histopathology as the reference standard.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

Secondary outcomes

  1. Workflow turnaround time

    To compare workflow turnaround time for FLI + Fast Lung and routine frozen-section pathology.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  2. Accuracy for invasive versus non-invasive/minimally invasive adenocarcinoma-spectrum lesions.

    To evaluate the accuracy of Fast Lung 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.

  3. Sensitivity

    To estimate the sensitivity of Fast Lung for malignant lesions using FFPE histopathology as the reference standard.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  4. Specificity

    To estimate the specificity of Fast Lung for benign lesions using FFPE histopathology as the reference standard.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

Other outcomes

  1. Diagnostic accuracy (ROC-AUC)

    The area under the receiver operating characteristic curve (ROC-AUC) will be used to assess the overall diagnostic accuracy of FLI-FastLung model in etermination of the benign or malignant of surgical specimens compared with final paraffin pathology as the reference standard.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  2. Performance of histological subtype diagnostic

    The performance of the FLI-FastLung model in distinguishing LUAD from LUSC will be evaluated using final paraffin pathology as the reference standard. Diagnostic performance will be quantified by area under the ROC curve (ROC-AUC), overall accuracy, sensitivity, and specificity.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  3. Performance in biopsy or small-tissue specimens

    The performance of the FLI-FastLung model in biopsy or small tissue specimens will be assessed using final paraffin pathology as the reference standard. Diagnostic performance will be quantified by area under the ROC curve (ROC-AUC), overall accuracy, sensitivity, and specificity.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  4. Diagnostic Failure Rate

    Diagnostic failure rate refers to the proportion of cases in which the FLI-FastLung system is unable to generate a valid histological classification result. A diagnostic failure is defined as the absence of a final output due to inadequate image quality, insufficient tissue input, or system processing failure.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  5. False Positive Rate

    False positive rate will be calculated as the proportion of cases incorrectly classified as positive by the FLI-FastLung model when compared with final paraffin pathology as the reference standard. The result will be derived from a confusion matrix and expressed as a percentage (%).

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  6. False Negative Rate

    False negative rate will be calculated as the proportion of cases incorrectly classified as negative by the FLI-FastLung model when compared with final paraffin pathology as the reference standard. The result will be derived from a confusion matrix and expressed as a percentage (%).

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

  7. Heatmap-pathology concordance

    Concordance between FastLung-generated heatmaps and corresponding pathological tumor regions will be evaluated using spatial overlap metrics. The primary measurement will be the Dice similarity coefficient (DSC) between model-generated heatmap regions and manually annotated pathological tumor areas. Results will be expressed as a continuous score ranging from 0 to 1.

    Time frame: From intraoperative diagnosis to final paraffin pathology confirmation, up to 30 days after surgery.

06

Study locations

1 of 5 sites recruiting
  • Dongfang Hospital
    Shanghai, Shanghai Municipality 200030, China
    Not yet recruiting
  • Huadong Hospital
    Shanghai, Shanghai Municipality 200030, China
    Not yet recruiting
  • Shanghai Chest Hospital
    Shanghai, Shanghai Municipality 200030, China
    Recruiting
  • Tongji Hospital
    Shanghai, Shanghai Municipality 200030, China
    Not yet recruiting
  • Tongren Hospital
    Shanghai, Shanghai Municipality 200030, China
    Not yet recruiting
07

References and documents

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. PubMed 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-Piragua S, Orringer DA. Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks. Nat Med. 2020 Jan;26(1):52-58. doi: 10.1038/s41591-019-0715-9. Epub 2020 Jan 6. PubMed 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. PubMed 41402452 ↗

Individual participant data

Plan to share: No — Individual participant data will not be publicly shared due to patient privacy considerations and institutional data-sharing restrictions. De-identified aggregate results may be made available in publications or upon reasonable request, in accordance with applicable regulations and institutional policies.

08

Registry details

Key details

Study ID
NCT07681245
Lead sponsor
Shanghai Chest Hospital
Collaborators
Femtosecond Applications and Research (Guangzhou)
Responsible party
Xinghua Cheng (Professor of Medicine, Shanghai Chest Hospital) — Principal investigator
First posted
Jul 2, 2026
Start date
Jul 3, 2026
Primary completion
Oct 30, 2026 (estimated)
Completion
Nov 30, 2026 (estimated)
Last update
Sep 4, 2026

Study contacts

Xinghua Cheng, Dr. PhD.
Contact
xinhuacheng@sjtu.edu.cn
17701681215

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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