Reduced area of the normal lung on high-resolution computed tomography predicts poor survival in patients with lung cancer and combined pulmonary fibrosis and emphysema

Miyamoto, Atsushi; Kurosaki, Atsuko; Moriguchi, Shuhei; Takahashi, Yasuhiro; Ogawa, Kazumasa; Murase, Kyoko; Hanada, Shigeo; Uruga, Hironori; Takaya, Hisashi; Morokawa, Nasa; Fujii, Takeshi; Hoshino, Junichi; Kishi, Kazuma

doi:10.1016/j.resinv.2018.10.007

Cited by 8 publications

(5 citation statements)

References 41 publications

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“…CPFE as previously defined 1 was identified radiographically in 7.3% of males who underwent high-resolution CT (HRCT) of the chest (indication unknown) 41 and in 2.8% of all HRCTs done at a single center in Korea 42 . In patients with resected lung cancer, CPFE was found in 3-10% of patients 38,[43][44][45] (Table 2); however, another lung cancer screening cohort found a much lower prevalence at 0.04% 36 .…”

Section: Epidemiologymentioning

confidence: 99%

“…The most common histopathologic subtypes of lung cancer in CPFE are squamous cell carcinoma and adenocarcinoma [38][39][40]44,45,116,162,193,[195][196][197][198] . In contrast to the general epidemiology of non-small cell lung cancer with adenocarcinoma accounting for 50% of cases 199 , squamous cell carcinomas appear to be more frequent in patients with CPFE 39,40,44,45,162,193,[195][196][197][198]200 . The majority of the lung cancers were located in the lower lobes 39,195 .…”

Section: Lung Cancermentioning

confidence: 99%

“…Although individual studies differ in their conclusions 38,44,45,57,145,195,200 , a systematic review and metaanalysis concluded that the presence of CPFE is associated with worse survival in patients with nonsmall cell lung cancer 198 . 38,44,57,145,195,200 Among patients with CPFE and lung cancer, the presence of honeycombing, later cancer stage, and reduced feasibility of surgical resection are predictors of mortality 202 . The poor outcome is at least in part related to increased morbidity and mortality of cancer treatments in CPFE, which often limits standard therapy 40,43,45,196,197,200,203,204 .…”

Section: Lung Cancermentioning

confidence: 99%

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Syndrome of Combined Pulmonary Fibrosis and Emphysema: An Official ATS/ERS/JRS/ALAT Research Statement

Cottin¹,

Selman²,

Inoue³

et al. 2022

Am J Respir Crit Care Med

105

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Background. The presence of emphysema is relatively common in patients with fibrotic interstitial lung disease. This has been designated combined pulmonary fibrosis and emphysema (CPFE). The lack of consensus over definitions and diagnostic criteria has limited CPFE research. Goals.The objectives of this taskforce were to review the terminology, definition, characteristics, pathophysiology, and research priorities of CPFE, and to explore whether CPFE is a syndrome.Methods. This research statement was developed by a committee including 19 pulmonologists, 5 radiologists, 3 pathologists, 2 methodologists, and 2 patient representatives. The final document was supported by a focused systematic review that identified and summarized all recent publications related to CPFE.Results. This taskforce identified that patients with CPFE are predominantly male, with history of smoking, severe dyspnea, relatively preserved airflow rates and lung volumes on spirometry, severely impaired diffusion capacity for carbon monoxide, exertional hypoxemia, frequent pulmonary hypertension, and a dismal prognosis. The committee proposes to identify CPFE as a syndrome given the clustering of pulmonary fibrosis and emphysema, shared pathogenetic pathways, unique considerations related to disease progression, increased risk of complications (pulmonary hypertension, lung cancer, mortality), and implications for clinical trial design. There are varying features of interstitial lung disease and emphysema in CPFE. The committee offers a research definition and classification criteria, and proposes that studies on CPFE include a comprehensive description of radiologic and, when available, pathological patterns including some recently described patterns such as smoking-related interstitial fibrosis.Conclusions. This statement delineates the syndrome of CPFE and highlights research priorities.

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Section: Epidemiologymentioning

confidence: 99%

Section: Lung Cancermentioning

confidence: 99%

Section: Lung Cancermentioning

confidence: 99%

See 1 more Smart Citation

Syndrome of Combined Pulmonary Fibrosis and Emphysema: An Official ATS/ERS/JRS/ALAT Research Statement

Cottin¹,

Selman²,

Inoue³

et al. 2022

Am J Respir Crit Care Med

105

View full text Add to dashboard Cite

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“…In 2019, Miyamoto et al [23] have aimed to determine the survival of patients with lung cancer and Combined Pulmonary Fibrosis and Emphysema (CPFE) using radiologic predictors. Cox proportional hazards regression model indulging multivariate analysis was performed.…”

Section: A Related Workmentioning

confidence: 99%

“…But, it has failed to develop a computer-aided model to detect and classify the subtypes of emphysema. In the Kaplan-Meier method [23], the TNM-staging system and normal lung score are the most ideal predictors for survival rate analysis for patients with CPFE and lung cancer. Yet, it is less accurate than the evolving computer-assisted diagnostic technique.…”

Section: Breviewmentioning

confidence: 99%

Adaptive Local Ternary Pattern on Parameter Optimized-Faster Region Convolutional Neural Network for Pulmonary Emphysema Diagnosis

2021

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Emphysema is a lung disease that occurs due to abnormal alveoli expansion. This chronic disease causes difficulty in breathing which can lead to lung cancer. The progressive destruction of emphysema can be assessed by Computed Tomography (CT) scans and pulmonary function tests. The severity of the disease may extend to a stage where one can risk their life emphasizing the early detection of emphysema. Primary diagnosis can be done using spirometry and CT for early detection of the disease reducing the mortality rates. Difficulties associated with different diagnostic procedures and inter and intraobserver variations have made blooming researches on more computer-aided techniques. This paper intends to develop a computer-aided technique using the improved deep learning strategy. The initial process is image pre-processing, which is performed by histogram equalization and median filtering. Further, the Fuzzy C Means (FCM) clustering is used for segmentation. After segmentation, a new Adaptive Local Ternary Pattern (ALTP) is used for extracting the pattern descriptor, which is further utilized for classification. As a new contribution, the Parameter Optimized-Faster Region Convolutional Neural Network (PO-FRCNN) is developed for performing the diagnosis. The enhancement of pattern formation and deep classification is accomplished by the Improved Red Deer Algorithm (IRDA), which helps to tune the significant parameters that have a positive influence on the accurateness. The benchmark and real-time dataset are used for performing the experimentation. The results show that the proposed method yields the best result and can effectively diagnose emphysema when compared to state-of-the-art techniques.INDEX TERMS Adaptive local ternary pattern, fuzzy C means clustering, modified deep learning, parameter optimized-faster region convolutional neural network, pulmonary emphysema.

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The Syndrome of Combined Pulmonary Fibrosis and Emphysema

Cottin

2023

Orphan Lung Diseases

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Reduced area of the normal lung on high-resolution computed tomography predicts poor survival in patients with lung cancer and combined pulmonary fibrosis and emphysema

Cited by 8 publications

References 41 publications

Syndrome of Combined Pulmonary Fibrosis and Emphysema: An Official ATS/ERS/JRS/ALAT Research Statement

Syndrome of Combined Pulmonary Fibrosis and Emphysema: An Official ATS/ERS/JRS/ALAT Research Statement

Adaptive Local Ternary Pattern on Parameter Optimized-Faster Region Convolutional Neural Network for Pulmonary Emphysema Diagnosis

The Syndrome of Combined Pulmonary Fibrosis and Emphysema

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