Miliary lung metastases from ROS1‑rearranged lung adenocarcinoma: A case report

Otoshi, Ryota; Sekine, Akimasa; Okihara, Koji; Katano, Takuma; Asaoka, Masato; Ikeda, Satoshi; Baba, Tomohisa; Komatsu, Shigeru; Hagiwara, Eri; Ogura, Takashi

doi:10.3892/mco.2020.2040

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…There are only few reports on the occurrence of MIPC in the existing literature. [5][6][7] MICP is characterized by uncountable discrete pulmonary micronodules, generally tiny and uniform in size (≤5 mm) and diffusely distributed throughout the lungs. 8,9 MICP may be predictive for rapid tumor progress.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence System Application in Miliary Lung Metastasis: Experience from a Rare Case

Chen¹,

Li²,

Jiang³

et al. 2021

RMHP

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Introduction: Miliary intrapulmonary carcinomatosis (MIPC) is very rare in the existing literature. We reported a lung adenocarcinoma patient presented with over 200 uniform size pulmonary nodules in all lung lobes at the initial examination. The application of artificial intelligence (AI) in lung cancer has been gradually reported, but not yet reported in MIPC. The application of AI in this rare disease is worth exploring. Patient Information: A 57-year-old woman received chest computed tomography (CT) scan because of dry cough, intermittent chest wall and back pain for 3 weeks. CT imaging found over 200 uniform size pulmonary nodules in an evenly dispersed pattern at bilateral lungs with a 38×45mm new creature at the dorsal segment of the lower lobe of the left lung. However, as a very reliable diagnostic assistant system in CT imaging of lung cancer, AI can only identify 18 nodules in such classic metastatic lung cancer case. Conclusion:This case provides classical imaging figures as textbook-like, even though there is no such classic imaging of lung metastases in the existing textbooks. This medical imaging material will impress medical students and help them learn about the disease deeply. This medical imaging material can warn patients to recognize the horror of lung cancer metastasis and has good popularization of science. This medical imaging material presents a new challenge for AI.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence System Application in Miliary Lung Metastasis: Experience from a Rare Case

Chen¹,

Li²,

Jiang³

et al. 2021

RMHP

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“…Imaging shows metastatic lymph-node tropism, often reported with less frequent extrathoracic metastatic sites than for ALK rearranged or epidermal growth factor receptor (EGFR)-mutated NSCLCs [ 28 ]. Miliary forms of lung metastases have also been described [ 29 ]. Several authors reported a heightened thromboembolic risk of ROS-1-rearranged tumors compared with NSCLCs harboring non-rearranged ROS-1 [ 30 ], and even rarer cases of thrombotic microangiopathies [ 31 ] and disseminated intravascular coagulation [ 32 ].…”

Section: Epidemiology Clinical and Histological Characteristicsmentioning

confidence: 99%

ROS-1 Fusions in Non-Small-Cell Lung Cancer: Evidence to Date

et al. 2022

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The ROS-1 gene plays a major role in the oncogenesis of numerous tumors. ROS-1 rearrangement is found in 0.9–2.6% of non-small-cell lung cancers (NSCLCs), mostly lung adenocarcinomas, with a significantly higher rate of women, non-smokers, and a tendency to a younger age. It has been demonstrated that ROS-1 is a true oncogenic driver, and tyrosine kinase inhibitors (TKIs) targeting ROS-1 can block tumor growth and provide clinical benefit for the patient. Since 2016, crizotinib has been the first-line reference therapy, with two-thirds of the patients’ tumors responding and progression-free survival lasting ~20 months. More recently developed are ROS-1-targeting TKIs that are active against resistance mechanisms appearing under crizotinib and have better brain penetration. This review summarizes current knowledge on ROS-1 rearrangement in NSCLCs, including the mechanisms responsible for ROS-1 oncogenicity, epidemiology of ROS-1-positive tumors, methods for detecting rearrangement, phenotypic, histological, and molecular characteristics, and their therapeutic management. Much of this work is devoted to resistance mechanisms and the development of promising new molecules.

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Miliary lung metastases from ROS1‑rearranged lung adenocarcinoma: A case report

Cited by 2 publications

References 10 publications

Artificial Intelligence System Application in Miliary Lung Metastasis: Experience from a Rare Case

Artificial Intelligence System Application in Miliary Lung Metastasis: Experience from a Rare Case

ROS-1 Fusions in Non-Small-Cell Lung Cancer: Evidence to Date

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