Asian Thoracic Oncology Research Group expert consensus statement on the peri-operative management of non-small cell lung cancer

Lung Cancer, Год журнала: 2025, Номер 200, С. 108076 - 108076

Опубликована: Янв. 2, 2025

The peri-operative management of non-small cell lung cancer (NSCLC) in earlier stage disease has seen significant advances recent years with the incorporation immune checkpoint inhibitors and targeted therapy. However, many unanswered questions challenges remain, including application clinical trial data to routine practice. Recognising unique demographic profile Asian patients NSCLC heterogeneous healthcare systems, Thoracic Oncology Research Group (ATORG) convened a consensus meeting Singapore on 26 April 2024 discuss relevant issues spanning diagnostic testing post-neoadjuvant treatment considerations future directions. An interdisciplinary group 19 experts comprising medical oncologists, thoracic surgeons, radiation pulmonologists pathologists from Singapore, Hong Kong, Mainland China, Korea, Japan, Taiwan, India, Malaysia, Thailand, Vietnam Australia met emerging data, identify existing gaps care develop multidisciplinary, multinational expert statement tailored Asia-Pacific region.

Язык: Английский

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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections

Radiation Oncology, Год журнала: 2025, Номер 20(1)

Опубликована: Апрель 18, 2025

Delineating the internal gross tumor volume (IGTV) is crucial for treatment of non-small cell lung cancer (NSCLC). Deep learning (DL) enables automation this process; however, current studies focus mainly on multiple phases four-dimensional (4D) computed tomography (CT), which leads to indirect results. This study proposed a DL-based method automatic IGTV delineation using maximum and average intensity projections (MIP AIP, respectively) from 4D CT. We retrospectively enrolled 124 patients with NSCLC divided them into training (70%, n = 87) validation (30%, 37) cohorts. Four-dimensional CT images were acquired, corresponding MIP AIP generated. The IGTVs contoured used as ground truth (GT). or images, along (IGTVMIP-manu IGTVAIP-manu, respectively), fed DL models validation. assessed performance three segmentation models-U-net, attention U-net, V-net-using Dice similarity coefficient (DSC) 95th percentile Hausdorff distance (HD95) primary metrics. U-net model trained presented mean DSC 0.871 ± 0.048 HD95 2.958 2.266 mm, whereas achieved 0.852 0.053 3.209 2.136 mm. Among models, similar results, considerably surpassing V-net. can automate streamline contouring, enhance accuracy consistency radiotherapy planning improve patient outcomes.

Язык: Английский

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Trajectory of PD-L1 expression in a patient underwent neoadjuvant chemo-immunotherapy for resectable NSCLC

Lung Cancer, Год журнала: 2024, Номер 194, С. 107900 - 107900

Опубликована: Июль 26, 2024

Язык: Английский

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Application of the 5th WHO Guidelines for the Diagnosis of Lung Carcinoma in Small Lung Biopsies in a Tertiary Care Center: Is Insecurity of Pathologists for the Accurate Diagnosis Justified?

Diagnostics, Год журнала: 2024, Номер 14(18), С. 2090 - 2090

Опубликована: Сен. 21, 2024

The diagnosis of lung carcinoma (LC) is currently performed in small biopsies and according to the WHO classification by using limited stains spare tissue for molecular testing. This procedure, however, often causes diagnostic uncertainty among pathologists.

Язык: Английский

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