Lymphangioleiomyomatosis: a metastatic lung disease

[Incidental diagnosis of lymphangioleiomyomatosis in gynecological surgery-a case series]

BACKGROUND

Lymphangioleiomyomatosis (LAM) is a rare, slow progressing, low-grade neoplasia that primarily effects young women. The disease is well known for its pulmonary involvement with cystic destruction, but extra-pulmonary disease may occur. LAM is associated with mutations in the TSC 1 or TSC 2 genes and may develop sporadically or in the context of hereditary disease tuberous sclerosis complex (TSC). Incident LAM may represent the sentinel finding of the disease.

OBJECTIVE

Raising awareness for rare extrapulmonary LAM lesions in retroperitoneum and pelvic cavity.

METHODS

Data-based research was performed for LAM in gynecological surgical specimens. H&E-stained slides were re-examined, and immunohistochemical stains were re-evaluated. Clinical data were retrieved for the presence pulmonary LAM or TSC.

RESULTS

A total of 13 cases were identified. The age of the patients ranged from 32 to 77 years, and 8/13 were ≤ 55 years. Two women had a history of pulmonary LAM and TSC. Most women underwent surgery for gynecological malignancy. On histological examination, 10/13 patients presented LAM in 1 to 9 lymph nodes with a lesion size of 0.5 to 12.0 mm, mainly located subcapsular or in the nodal parenchyma. Three of the 13 women showed extranodal involvement of the retroperitoneum, myometrium, and the hilum of the ovary. Immunohistochemically LAM was positive for HMB45, desmin, and smooth muscle actin.

CONCLUSION

LAM is a rare systemic disease that mainly involves the lungs. Nevertheless, extra-pulmonary manifestations may occur. It is important to report the incidental finding of even small foci of LAM within the pathology report. Incidental LAM may represent the sentinel lesion for pulmonary LAM and/or TSC.

Beyond the Graft: Recurrence of Interstitial Lung Diseases Post Transplant

Interstitial lung diseases (ILDs) represent a heterogenous group of lung disorders marked by inflammation and/or fibrosis of the lung parenchyma, often leading to progressive shortness of breath and end-stage respiratory failure. In the U.S., ILDs affect approximately 650,000 individuals and cause approximately 25,000-30,000 deaths annually. Lung transplantation (LTx) offers definitive treatment for advanced ILD, with improved survival attributed to advancements in immunosuppression, organ preservation, surgical techniques, and postoperative care. However, disease recurrence in transplanted lungs remains a significant concern. Understanding the risk factors and mechanisms underlying recurrence is critical for refining recipient selection and improving outcomes. This review examines ILD recurrence post LTx and its implications for lung transplantation success.

Ultra-low dose chest CT with silver filter and deep learning reconstruction significantly reduces radiation dose and retains quantitative information in the investigation and monitoring of lymphangioleiomyomatosis (LAM)

PURPOSE

Frequent CT scans to quantify lung involvement in cystic lung disease increases radiation exposure. Beam shaping energy filters can optimize imaging properties at lower radiation dosages. The aim of this study is to investigate whether use of SilverBeam filter and deep learning reconstruction algorithm allows for reduced radiation dose chest CT scanning in patients with lymphangioleiomyomatosis (LAM).

MATERIAL AND METHODS

In a single-center prospective study, 60 consecutive patients with LAM underwent chest CT at standard and ultra-low radiation doses. Standard dose scan was performed with standard copper filter and ultra-low dose scan was performed with SilverBeam filter. Scans were reconstructed using a soft tissue kernel with deep learning reconstruction (AiCE) technique and using a soft tissue kernel with hybrid iterative reconstruction (AIDR3D). Cyst scores were quantified by semi-automated software. Signal-to-noise ratio (SNR) was calculated for each reconstruction. Data were analyzed by linear correlation, paired t-test, and Bland-Altman plots.

RESULTS

Patients averaged 49.4 years and 100% were female with mean BMI 26.6 ± 6.1 kg/m2. Cyst score measured by AiCE reconstruction with SilverBeam filter correlated well with that of AIDR3D reconstruction with standard filter, with a 1.5% difference, and allowed for an 85.5% median radiation dosage reduction (0.33 mSv vs. 2.27 mSv, respectively, p < 0.001). Compared to standard filter with AIDR3D, SNR for SilverBeam AiCE images was slightly lower (3.2 vs. 3.1, respectively, p = 0.005).

CONCLUSION

SilverBeam filter with deep learning reconstruction reduces radiation dosage of chest CT, while maintaining accuracy of cyst quantification as well as image quality in cystic lung disease.

CLINICAL RELEVANCE STATEMENT

Radiation dosage from chest CT can be significantly reduced without sacrificing image quality by using silver filter in combination with a deep learning reconstructive algorithm.

KEY POINTS

• Deep learning reconstruction in chest CT had no significant effect on cyst quantification when compared to conventional hybrid iterative reconstruction. • SilverBeam filter reduced radiation dosage by 85.5% compared to standard dose chest CT. • SilverBeam filter in coordination with deep learning reconstruction maintained image quality and diagnostic accuracy for cyst quantification when compared to standard dose CT with hybrid iterative reconstruction.

Lymphangioleiomyomatosis with Tuberous Sclerosis Complex-A Case Study

Lymphangioleiomyomatosis (LAM) is characterized by lung cysts that cause lung deterioration, changes in the lymphatic system, and tumors in the kidneys. It mainly affects women of reproductive age and is a progressive disease. LAM can occur as an isolated disease or coexist with tuberous sclerosis (TSC). The source of LAM cells is unknown. Patients with confirmed LAM should be treated with an mTOR inhibitor, sirolimus, or everolimus. We present a case of LAM with TSC in a patient whose symptoms, including those in the lymph nodes and chyaloperitoneum, mainly concern the abdominal cavity.

Case report of a young male, with recurrent pneumothorax, hemoptysis and intrapulmonary cavitary lesions

RATIONALE

Primary spontaneous pneumothorax (PSP) is a manifestation of Vascular Ehlers-Danlos syndrome (vEDS) caused by heterozygous mutations in the COL3A1 gene. vEDS is a rare inherited disorder with an prevalence of one in 150,000. It can causes PSP and severe fragility of connective tissues with arterial but it remains poorly defined on clinical grounds and diagnose. Through this report, we hoped to help clinicians further understand the characteristics of vEDS.

PATIENT CONCERNS

A 22-year-old man presented with recurrent pneumothorax, hemoptysis, and chest pain. Physical examination revealed remarkable hypermobility of the small joints and translucent skin with visible veins. Chest computed tomography (CT) showed pneumothorax and multiple pulmonary cavities.

INTERVENTION AND OUTCOME

Genomic deoxyribonucleic acid (DNA) was extracted from patients. Heterozygosity was observed in all 3 novel variants. The main variant is COL3A1, c.3256-43T > G(NM_000090.3), which represents a missense mutation in collagen type III alpha 1 that can lead to vEDS. The other 2 mutations were FLNB c.4814G > A(NM_001457.3) and TSC2 c.3145G > A (NM_000548.3). These variants were validated by Sanger sequencing of their parents. COL3A1was not detected in either of the parent strains. FLNB and TSC2 were detected in his mother.

DIAGNOSES

Vascular Ehlers-Danlos syndrome.

LESSONS

Both COL3A1 and TSC2 gene mutations can cause PSP; however, to the best of our knowledge, there are no reports on these 2 gene mutations in 1 patient at the same time.

Identification of common genetic features and pathways involved in pulmonary lymphangioleiomyomatosis and ER-positive breast cancer

Accumulating evidence suggests that patients with pulmonary lymphangioleiomyomatosis (PLAM) have a markedly higher prevalence of breast cancer (BC) than the general population. However, the underlying pathophysiological mechanisms remain unclear. Therefore, in this study, we employed a bioinformatics approach to understand the association between PLAM and estrogen receptor (ER)-positive BC. The PLAM (GSE12027) and ER-positive BC (GSE42568, GSE29044, and GSE29431) datasets were obtained from the Gene Expression Omnibus database, and GEO2R was used to identify common differentially expressed genes (DEGs) between them. Functional annotation was performed, and a protein-protein interaction (PPI) network was constructed. Hub genes were identified and verified using western blotting and immunohistochemistry. We conducted an immune infiltration analysis; based on the results, selected 102 common DEGs for follow-up analysis. Functional analyses revealed that the DEGs were mostly enriched in cell proliferation, gene expression regulation, and tumor-related pathways. Four hub genes-ESR1, IL6, PLA2G4A, and CAV1-were further analyzed, and CAV1 was revealed to be associated with clinical outcomes and immune infiltration in ER-positive BC. This study proposes a common, possible pathogenesis of PLAM and ER-positive BC. These common pathways and pivotal genes may provide new directions for further mechanistic studies.