Kris Lami
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Extracting Histologic Features to Distinguish Primary and Metastatic Squamous Cell Carcinoma of the Lung Open
Lung is a common site of metastasis for squamous cell carcinoma (SqCC), and distinguishing primary lung SqCC from pulmonary metastatic SqCC is critical for clinical decision‐making, including treatment planning. However, no practical histo…
View article: AI Algorithm for Lung Adenocarcinoma Pattern Quantification (PATQUANT): International Validation and Advanced Risk Stratification Superior to Conventional Grading
AI Algorithm for Lung Adenocarcinoma Pattern Quantification (PATQUANT): International Validation and Advanced Risk Stratification Superior to Conventional Grading Open
The morphological patterns of lung adenocarcinoma (LUAD) are recognized for their prognostic significance, with ongoing debate regarding the optimal grading strategy. This study aimed to develop a clinical‐grade, fully quantitative, and au…
Explainable Cryobiopsy AI Model, CRAI, to Predict Disease Progression for Transbronchial Lung Cryobiopsies with Interstitial Pneumonia Open
Background Interstitial lung disease (ILD) encompasses diverse pulmonary disorders with varied prognoses. Current pathological diagnoses suffer from inter-observer variability,necessitating more standardized approaches. We developed an ens…
View article: Enhancing Interstitial Lung Disease Diagnoses Through Multimodal <scp>AI</scp> Integration of Histopathological and <scp>CT</scp> Image Data
Enhancing Interstitial Lung Disease Diagnoses Through Multimodal <span>AI</span> Integration of Histopathological and <span>CT</span> Image Data Open
Background and Objective The diagnosis of interstitial lung diseases (ILDs) often relies on the integration of various clinical, radiological, and histopathological data. Achieving high diagnostic accuracy in ILDs, particularly for disting…
Presence of focal usual interstitial pneumonia is a key prognostic factor in progressive pulmonary fibrosis Open
Aims Progressive pulmonary fibrosis (PPF) is a newly recognised clinical phenotype of interstitial lung diseases in the 2022 interstitial pulmonary fibrosis (IPF) guidelines. This category is based entirely on clinical and radiological fac…
Differential Gene Expression of Tumors Undergoing Lepidic-Acinar Transition in Lung Adenocarcinoma Open
Lung adenocarcinoma is the most frequent subtype of thoracic malignancy, which is itself the largest contributor to cancer mortality. The lepidic subtype is a non-invasive tumor morphology, whereas the acinar subtype represents one of the …
Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy Open
Background: When obtaining specimens from pulmonary nodules in TBLB, distinguishing between benign samples and mis-sampling from a tumor presents a challenge. Our objective is to develop a machine-learning-based classifier for TBLB specime…
Focal Usual Interstitial Pneumonia-like Fibrosis is a Core Prognostic Factor in Progressive Pulmonary Fibrosis Open
Progressive pulmonary fibrosis (PPF) is a newly recognized clinical phenotype of interstitial lung diseases in the 2022 interstitial pulmonary fibrosis (IPF) guidelines. This category is based entirely on clinical and radiological factors,…
View article: Overcoming the Interobserver Variability in Lung Adenocarcinoma Subtyping: A Clustering Approach to Establish a Ground Truth for Downstream Applications
Overcoming the Interobserver Variability in Lung Adenocarcinoma Subtyping: A Clustering Approach to Establish a Ground Truth for Downstream Applications Open
Context.— The accurate identification of different lung adenocarcinoma histologic subtypes is important for determining prognosis but can be challenging because of overlaps in the diagnostic features, leading to considerable interobserver …
View article: Deep learning for histopathological subtyping and grading of lung adenocarcinoma
Deep learning for histopathological subtyping and grading of lung adenocarcinoma Open
The histopathological distinction of lung adenocarcinoma (LADC) subtypes is subject to high inter-observer variability, which can compromise the optimal assessment of the patient prognosis. Therefore, this study developed convolutional neu…
A narrative review of digital pathology and artificial intelligence: focusing on lung cancer Open
The emergence of whole slide imaging technology allows for pathology diagnosis on a computer screen. The applications of digital pathology are expanding, from supporting remote institutes suffering from a shortage of pathologists to routin…
The Effects of TGF-β Signaling on Cancer Cells and Cancer Stem Cells in the Bone Microenvironment Open
Background: Transforming growth factor-β (TGF-β) plays a key role in bone metastasis formation; we hypothesized the possible involvement of TGF-β in the induction of cancer stem cells (CSCs) in the bone microenvironment (micro-E), which ma…