Invasive Adenocarcinoma Research Articles

Surgical outcome in patients with lung adenocarcinoma with mucin.

Mucin-producing adenocarcinoma is a less common variant of lung adenocarcinoma. Adenocarcinoma cells with mucin can spread through the airspace via mucus-mediated extension, leading to their implantation in distant normal lungs. Consequently, post-operative intrapulmonary recurrence frequently occurs. Mucin-producing adenocarcinomas include not only invasive mucinous adenocarcinoma but also papillary, acinar, and other subtypes. Despite increasing reports on surgical outcomes for invasive mucinous adenocarcinomas, the outcomes for total mucin-producing adenocarcinoma remain unclear. We clinically and pathologically evaluated 511 patients who underwent curative resection for lung adenocarcinoma at our institution. The patients were divided into adenocarcinoma with mucin and without mucin groups. Based on pathological findings, the adenocarcinoma with mucin was further classified into intracellular, extracellular, and mucus extension types. Additionally, the CT value of the tumor mass was analyzed using SYNAPSE VINCENT software. The 5year overall survival after surgery was 81.5% and 75.9% for patients with adenocarcinoma with versus without mucin (P = 0.774), respectively. The 5year intrapulmonary recurrence rate in patients with adenocarcinoma with mucin was 29.2%, significantly higher than 12.9% for patients without mucin. Mucus extension was a strong indicator (hazard ratio: 3.03) of intrapulmonary recurrence after surgery. According to SYNAPSE VINCENT analysis, a high volume rate of -400 HU indicated mucus extension. Our results demonstrated that intrapulmonary recurrence occurs approximately 2.3 times more often in adenocarcinoma with mucin than in adenocarcinoma without mucin. Mucus extension is a significant risk factor for intrapulmonary recurrence, and surgeons can predict it using SYNAPSE VINCENT analysis.

Prognostic impact of the newly revised IASLC proposed grading system for invasive lung adenocarcinoma: a systematic review and meta-analysis.

This study aimed to evaluate the prognostic value of the newly revised International Association for the Study of Lung Cancer (IASLC) grading system (2020) on the 5-year overall survival (OS) and recurrence-free survival (RFS) in patients with lung adenocarcinoma (LADC). Clinical studies that investigated the prognostic value of revised IASLC staging system in patients with LADC were retrieved from the PubMed, Web of Science, ScienceDirect, and Cochrane Library databases. This study was conducted in accordance to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and checklists. Based on inclusion and exclusion criteria, we included 12 studies for analysis. The grade of LADC was assessed by revised IASLC system, which included three grades. Compared to Grade 3 LADC, grade 1 (total [95% CI]: 1.38 [1.19, 1.60]) and grade 2 (total [95% CI]: 1.29 [1.15, 1.44]) LADC had higher 5-year OS rates. Similarly, Grade 1 (total [95% CI]: 1.76 [1.42, 2.18]) and Grade 2 (total [95% CI]: 1.51 [1.28, 1.77]) had higher 5-year RFS rates Grade 3 LADC. However, 5-year OS and RFS had no significant difference between Grade 1 and Grade 2 patients. This systematic review and meta-analysis provides evidence that the newly revised IASLC grading system is significantly associated with the prognosis of patients with LADC, where Grade 3 indicated unfavorable prognosis.

Abstract A011: Identifying surface biomarkers from colorectal cancer-derived extracellular vesicles using a bead-based approach

Abstract Colorectal cancer (CRC) accounts for the second most common cause of cancer-related mortality globally. The search for prognostic biomarkers subserving to detected cancer at an early stage, to improve tumor classification and to stratify therapeutic patient management groups is actively ongoing. Surgical resections and chemotherapeutics remain a mainstay in the cure and control of solid tumors. Despite their usefulness in the clinical scenario, shortcomings are well recognized, leading researchers to investigate for a circulating source of tumor-derived materials in biofluids, including mostly circulating tumor DNA (ctDNA), circulating tumor cells (CTCs) and extracellular vesicles (EVs). Characterization of EVs surface markers and assessment of their molecular cargo, can lead to the identification of early metastatic colorectal cancer signatures. Cell surface markers of three CRC cell lines (HCT116, DLD1 and LOVO) were characterized using flow cytometry. EVs were isolated from 48-hour serum-deprived cell lines using the polymer pull down method (20% Polyethelene glycol (PEG)). The concentration and particle size distribution of isolated EVs was checked by the NanoSight NS300. Avidin-coated Polystyrene beads were conjugated with CD9 biotin antibodies; and were used to immunoprecipitated (IP) CD9+ EVs. Following a 2-hour incubation and a series of washing steps, the PE-labelled antibodies of interest (CD9, CD63, EpCAM, Vim, CD44, CD133 and CD29) were added and read using xMAP technology. To increase the number of surface markers that can be read in tandem, IP was multiplexed using EpCAM, CD9 and CD63. This was followed by the isolation of EVs from plasma of metastatic CRC patients (N=3) using size exclusion chromatography (Izon qEV1 columns-35nm in conjunction with the automatic fraction collector) and polymer pull down. The concentration and size were assessed by Nanosight NS300 and surface markers of tumor-derived EVs were assessed using the immunoprecipitation technique on the Luminex system. Comparison of signals between EVs isolated from cell lines and matched originator cells showed that cell surface signatures in EVs match closely with their originator cells. The mean fluorescence intensities quantified cell surface marker expression in the different exosome-bead complexes. Interestingly, one of the metastatic cancer patients with invasive colorectal adenocarcinoma and lung metastasis showed EpCAM and Vimentin positivity suggesting epithelial-mesenchymal plasticity. These results show the importance of multiplexing both at the level of immunoprecipitation and at end-measurement, given the dynamics of cell surface marker changes during disease progression. The use of the mesenchymal marker; Vimentin in a panel for cell surface markers stems from studies on biotinylated cell surface markers on various cancer cell lines and identification of Vimentin in such models. Interestingly we find Vimentin on EVs surface in this study. Citation Format: Jessica Debattista, Laura Grech, Christian Scerri, Malcolm Buhagiar, Godfrey Grech. Identifying surface biomarkers from colorectal cancer-derived extracellular vesicles using a bead-based approach [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A011.

When multiple primary lung cancers express the same rare mutation: a case report

The debate continues whether the expression of the same rare genetic mutation in multiple primary lung cancers suggests intrapulmonary metastasis or truly multiple primary lung cancers. We report a case of a 54-year-old female patient who presented with multiple nodules in the right lung discovered during a routine examination, persisting for six months. The patient had three central lesions in the right lung’s upper, middle, and lower lobes. She underwent thoracoscopic wedge resection, and the postoperative pathology reported two minimally invasive adenocarcinoma and one adenocarcinoma in situ. Interestingly, genetic testing for lung cancer-related driver genes revealed the presence of the rare RET mutation in all three nodules. This led us to speculate that these nodules might have the exact origin rather than being multiple primaries. To verify this hypothesis, we conducted further testing on these nodules, including whole-exome sequencing (The NGS data was generated from the Illumina sequencing platform by Novogene Co. Ltd, Beijing, China). The results indicated that although all three nodules expressed the RET mutation, there was significant heterogeneity in the gene mutations (differences in the number of cellular mutations, substitution composition levels, and clustering analysis of the three nodules). Thus, the patient was considered to have multiple primary lung cancers. In such cases, whole-exome sequencing can distinguish whether the nodules have the exact origin.

The high-grade growth pattern of invasive lung adenocarcinoma: an update

The high-grade growth pattern of invasive lung adenocarcinoma: an update

Bilateral orthotopic lung transplantation for the patient with lung-limited invasive mucinous adenocarcinoma: a case-based literature review.

Invasive mucinous adenocarcinoma (IMA) of lung is a unique subset of adenocarcinomas characterized by an intrapulmonary aerogenous spread resulting in multicentric, multilobar, and bilateral lesions with a low frequency of distant metastasis. The treatment options for IMA are limited, and advanced IMA has a poor prognosis, with a median survival of less than a year. Lung transplantation performed in a handful of selected patients showed improved survival outcomes and clinical improvement. However, high postoperative recurrence rates have been observed and recurrence appeared to originate from the primary tumor in many cases. Techniques, such as non-sequential double lung transplantation utilizing cardiopulmonary bypass, have been performed to reduce recurrence. Here, we present the first case of bilateral lung transplantation employing cardiopulmonary bypass in a patient with stage ⅣA lung-limited IMA without lymph node or distant metastasis. At 15 months post-transplantation, the patient remains stable with no evidence of disease recurrence or organ rejection. Additionally, we describe the classification, clinical outcomes, protein expression, and genetic characteristics of IMA. IMA was previously classified as a subset of bronchioalveolar carcinoma (BAC), which is invasive and mucinous with goblet or columnar cells secreting mucin. We reviewed and summarized the lung transplantation cases reported to date for BAC. The 5-year overall survival and disease-free survival have been reported approximately 50% (range, 39-100) and 50% (range, 35-100), respectively. The literature shows these outcomes are comparable to bilateral lung transplantation performed for non-cancerous pulmonary disease.

The Correlation Between the Natural Course, Pathologic Properties With Ki-67 Expression in Lung Adenocarcinoma Presenting as Ground-Glass Nodules.

With the increasing use of lung cancer screening, the detection of ground glass nodules (GGNs) has risen. However, the natural course of GGNs and their relationship to pathologic features remains unclear. Differentiating between invasive and pre-invasive lesions based on GGN growth may improve clinical intervention timing. Ki-67, a proliferation marker, holds value in assessing tumor malignancy. This study analyzes the association between GGN growth, pathology, and Ki-67 expression to provide new insights into early-stage lung cancer management. We retrospectively evaluated 183 GGNs with at least two preoperative CT scans. Nodule location, type, natural course, and volume doubling time (VDT) were compared between invasive adenocarcinoma (IAC) and pre-IAC groups. We also assessed differences in Ki-67 expression and correlated VDT with Ki-67 levels. A total of 183 nodules were finally included; gender, nodule location, smoking history, and duration of follow-up did not differ between the IAC group and the pre-IAC group, whereas age was statistically different between the two groups. Of the 183 nodules, 52 showed growth and the predominant pathologic type was IAC, these IACs showed more PSN in nodule type, while the IAC group showed more significant differences in nodule type, nodules growth, and VDT than the pre-IAC group. There were also differences in pathologic type and VDT between different Ki-67 expression groups, and Ki-67 expression gradually increased as VDT decreased. Lung adenocarcinoma (LUAD) presenting as GGNs exhibit distinct natural courses among pathologic subtypes. VDT effectively distinguishes these growth characteristics, with IACs showing shorter VDT. The significant correlation between VDT and Ki-67 expression suggests that combining these parameters may provide valuable insights into the biological behavior and invasiveness of LUAD.

A Novel Scale for Diagnosis of Pulmonary Ground-Glass Nodules: A Multicenter and Ambispective Cohort Study.

A screening tool was devised to aid the diagnosis and treatment of ground-glass nodules (GGNs). The current ambispective cohort study included retrospective collation of 20 variables synthesizing a patient's clinical characteristics, serum tumor markers, and CT results, which allowed division into noninvasive (benign, atypical adenomatous hyperplasia, and adenocarcinoma insitu) and invasive (minimally invasive and invasive adenocarcinomas) tumors to build a prediction nomogram and GGN screening scale. The model was verified internally. A prospective cohort of patients was randomly divided by envelope method into those assessed by the GGN screening scale and those assessed via CT values. The diagnostic efficiencies were compared to allow external verification of the model. A total of 223 patients with 225 GGNs were recruited into the retrospective cohort between January 2021 and December 2022. Multivariable analysis showed sex, diameter, air bronchogram, and vessel convergence sign to be independent factors for prediction of noninvasive and invasive GGNs. Internal verification showed the model had a sensitivity of 70.7% and specificity of 75.0% with the Youden index at 0.457 and area under the curve (AUC) of 0.793 (95% CI: 0.734-0.852). Calibration curves indicated good internal stability (p = 0.357). Between January 2023 and March 2023, 147 patients with 148 GGNs were recruited into the prospective cohort. External verification showed the model had a sensitivity of 92.4% and specificity of 40.0% with the Youden index at 0.324 and AUC of 0.678 (95% CI: 0.509-0.847). Calibration curves indicated good external stability (p = 0.088). The scale was shown to have a sensitivity of 75.00%, specificity of 37.50%, positive predictive value of 91.53%, negative predictive value of 14.29%, and accuracy of 71.25%. The GGN screening scale has high sensitivity and accuracy, making it suitable for diagnosis of GGNs.

Coexistence of Intestinal Spirochetosis and Colorectal Cancer: Could the Coil be Carcinogenic?

ABSTRACT Intestinal spirochetosis (IS) is an infectious gastrointestinal disease caused by Brachyspira bacteria. We detail an exceedingly rare case of IS with concomitant invasive colorectal adenocarcinoma (CRC) in a 58-year-old man presenting with abdominal discomfort and fever. Colonoscopic evaluation revealed abnormal-appearing, nodular cecal mucosa and a 35 mm rectosigmoid mass. Histopathology confirmed IS infection and CRC. Our case report is the first to detail IS diagnosed concurrently with colorectal cancer. It highlights the necessity of a high index of suspicion for IS in patients presenting with abdominal discomfort and endoscopic evidence of irregular nodular mucosa, particularly in the setting of suspected CRC. It further details potential pathophysiologic links between IS and colorectal malignancy.

Clearance of high-risk HPV after large loop excision of the transformation zone of early-stage invasive cervical cancer or adenocarcinoma in situ is highly correlated with the absence of residual cancer

Clearance of high-risk HPV after large loop excision of the transformation zone of early-stage invasive cervical cancer or adenocarcinoma in situ is highly correlated with the absence of residual cancer

Unusual presentation of incidental atypical carcinoid tumor masquerading as carcinoid tumorlets arising from diffuse neuroendocrine cell hyperplasia (DIPNECH): A case report

Introduction: Carcinoid tumorlets are usually incidental findings in lung excisions. These neuroendocrine proliferations should be less than 5 mm, and resemble typical carcinoid (TC) lacking necrosis and elevated mitotic activity. We report a case of atypical carcinoid (AC) presenting as multiple tumors all measuring less than 5 mm, mimicking carcinoid tumorlets. Case Report: Our patient underwent a right upper lobectomy for multifocal invasive lepidic adenocarcinoma. Multiple nodules of neuroendocrine cells less than 5 mm in greatest dimension were noted within the lobectomy. Unlike carcinoid tumorlets, these nodules showed >2 mitotic figures per square millimeter and punctate necrosis. The ACs masqueraded as multiple microscopic tumor foci (greater5 mm) resembling “carcinoid tumorlets” in adjacent background lung tissue next to the adenocarcinoma. However, increased mitoses and punctate necrosis were diagnostic of AC. A background of diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) was noted, appeared to be a precursor lesion to AC, and demonstrated the DIPNECH’s preneoplastic potential to evolve directly into an AC. Conclusion: The rare possibility of AC in “tumorlet”-appearing multiple micronodules should be considered in presence of elevated mitotic activity and necrosis in background of DIPNECH.

Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence.

With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) is a critical early stage of lung cancer, necessitating accurate diagnosis for early intervention. This study applies artificial intelligence (AI) for quantitative imaging analysis to differentiate AIS from atypical adenomatous hyperplasia (AAH) and minimally invasive adenocarcinoma (MIA), aiming to enhance clinical diagnosis and prevent misdiagnosis. The study analyzed 1215 PNs with confirmed AAH, AIS, and MIA from six centers using the Shukun AI diagnostic module. Parameters evaluated included demographic data and various CT imaging metrics to identify indicators for clinical application, focusing on the mean CT value's predictive value. Significant differences were found in several parameters between AAH and AIS, with nodule mass showing the highest predictive value. When comparing AIS to MIA, total nodule volume was the best predictor, followed by the maximum CT value. The mean CT value has limited discriminative power for AIS diagnosis. Instead, the maximum CT value and maximum 3D diameter are recommended for clinical differentiation. Nodule mass and volume of solid components are strong indicators for differentiating AIS from AAH and MIA, respectively.

An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images

BackgroundThis study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic images (VMIs), and to screen the optimal virtual monochromatic energy for the clinical evaluation of GGNs.MethodsNon-enhanced chest SDCT images of patients with pulmonary GGNs in our clinic from January 2022 to December 2022 were continuously collected: adenocarcinoma in situ (AIS, n = 40); minimally invasive adenocarcinoma (MIA, n = 44) and invasive adenocarcinoma (IAC, n = 46). A commercial CAD system based on deep convolutional neural networks (DL-CAD) was used to process the CPIs, 40, 50, 60, 70, and 80 keV monochromatic images of 130 spectral CT images. AI-based histogram parameters by logistic regression analysis. The diagnostic performance was evaluated by the receiver operating characteristic (ROC) curves, and Delong’s test was used to compare the CPIs group with the VMIs group.ResultsWhen distinguishing IAC from MIA, the diagnostic efficiency of total mass was obtained at 80 keV, which was superior to those of other energy levels (P < 0.05). And Delong’s test indicated that the differences between the area-under-the-curve (AUC) values of the CPIs group and the VMIs group were not statistically significant (P > 0.05).ConclusionThe AI algorithm trained on CPIs showed consistent diagnostic performance on VMIs. When pulmonary GGNs are encountered in clinical practice, 80 keV could be the optimal virtual monochromatic energy for the identification of preoperative IAC on a non-enhanced chest CT.

Exploiting common patterns in diverse cancer types via multi-task learning

Cancer prognosis requires precision to identify high-risk patients and improve survival outcomes. Conventional methods struggle with the complexity of genetic biomarkers and diverse medical data. Our study uses deep learning to distil high-dimensional medical data into low-dimensional feature vectors exploring shared patterns across cancer types. We developed a multi-task bimodal neural network integrating RNA Sequencing and clinical data from three The Cancer Genome Atlas project datasets: Breast Invasive Carcinoma, Lung Adenocarcinoma, and Colon Adenocarcinoma. Our approach significantly improved prognosis prediction, especially for Colon Adenocarcinoma, with up to 26% increase in concordance index and 41% in the area under the precision-recall curve. External validation with Small Cell Lung Cancer achieved comparable metrics, indicating that supplementing small datasets with data from other cancers can improve performance. This work represents initial strides in using multi-task learning for prognosis prediction across cancer types, potentially revealing shared mechanisms among cancers and contributing to future applications in precision medicine.

Development of a nomogram-based model incorporating radiomic features from follow-up longitudinal lung CT images to distinguish invasive adenocarcinoma from benign lesions: a retrospective study

PurposeTo develop and validate a radiomic model for differentiating pulmonary invasive adenocarcinomas from benign lesions based on follow-up longitudinal CT images.MethodsThis is a retrospective study including 336 patients (161 with invasive adenocarcinomas and 175 with benign lesions) who underwent baseline (T0) and follow-up (T1) CT scans from January 2016 to June 2022. The patients were randomized in a 7:3 ratio into training and test sets. Radiomic features were extracted from lesion volumes of interest on longitudinal CT images at T0 and T1. Differences in radiomic features between T1 and T0 were defined as delta-radiomic features. Logistic regression was used to build models based on clinicoradiological (CR), T0, T1, and delta radiomic features and compute signatures. Finally, a nomogram based on the CR, T0, T1 and delta signatures was constructed. Model performance was evaluated for calibration, discrimination, and clinical utility.ResultsThe T1 radiomic model was superior to the other independent models. In the training set, it had an area under the curve (AUC) of 0.858), superior to the CR model (AUC 0.694), the T0 radiomic model (AUC 0.825), and the delta radiomic model (AUC 0.734). In the test set, it had an AUC of 0.817, again outperforming the CR model (AUC 0.578), the T0 radiomic model (AUC 0.789), and the delta radiomic model (AUC 0.647). The nomogram incorporating the CR, T0, T1 and delta signatures showed the best predictive performance in both the training (AUC: 0.906) and test sets (AUC: 0.856), and it exhibited excellent fit with calibration curves. Decision curve analysis provided additional validation of the clinical utility of the nomogram.ConclusionA nomogram utilizing radiomic features extracted from longitudinal CT images can enhance the discriminative capability between pulmonary invasive adenocarcinomas and benign lesions.

Exploratory evidence maps for the WHO Classification of Tumours 5th edition for lung and thymus tumors.

The WHO Classification of Tumours (WCT) guides cancer diagnosis, treatment, and research. However, research evidence in pathology continuously changes, and new evidence emerges. Correct assessment of evidence in the WCT 5th edition (WCT-5) and identification of high level of evidence (LOE) studies based on study design are needed to improve future editions. We aimed at producing exploratory evidence maps for WCT-5 Thoracic Tumours, specifically lung and thymus tumors. We extracted citations from WCT-5, and imported and coded them in EPPI-Reviewer. The maps were plotted using EPPI-Mapper. Maps displayed tumor types (columns), descriptors (rows), and LOE (bubbles using a four-color code). We included 1434 studies addressing 51 lung, and 677 studies addressing 25 thymus tumor types from WCT-5 thoracic tumours volume. Overall, 87.7% (n = 1257) and 80.8% (n = 547) references were low, and 4.1% (n = 59) and 2.2% (n = 15) high LOE for lung and thymus tumors, respectively. Invasive non-mucinous adenocarcinoma of the lung (n = 215; 15.0%) and squamous cell carcinoma of the thymus (n = 93; 13.7%) presented the highest number of references. High LOE was observed for colloid adenocarcinoma of the lung (n = 11; 18.2%) and type AB thymoma (n = 4; 1.4%). Tumor descriptors with the highest number of citations were prognosis and prediction (n = 273; 19.0%) for lung, and epidemiology (n = 186; 28.0%) for thymus tumors. LOE was generally low for lung and thymus tumors. This study represents an initial step in the WCT Evidence Gap Map (WCT-EVI-MAP) project for mapping references in WCT-5 for all tumor types to inform future WCT editions.

Data set for the reporting of lung cancer: recommendations from the International Collaboration on Cancer Reporting (ICCR).

Lung cancer is the leading cause of cancer related deaths worldwide, although some patients with early-stage disease can be cured with surgical resection. Standardised reporting of all clinically relevant pathological parameters is essential for best patient care and is also important for ongoing data collection and refinement of important pathological features that impact patient prognosis, staging and clinical care. Using the established International Collaboration on Cancer Reporting (ICCR) procedure, a representative international expert panel of nine lung pathologists as well as an oncologist was convened. Essential core elements and suggested non-core elements were identified for inclusion in the resected lung cancer pathology data set based on predetermined levels of evidence as well as consensus expert opinion. A lung cancer histopathology reporting guide was developed that includes relevant clinical, macroscopic, microscopic and ancillary testing. Critical review and discussion of current evidence was incorporated into the new data set including changes from the 2021 World Health Organisation (WHO) Classification of Thoracic Tumours, fifth edition, new requirements for grading invasive non-mucinous adenocarcinomas, assessment of response to neoadjuvant therapy and requirements for molecular testing in early-stage resected lung carcinomas. This ICCR data set represents incorporation of all relevant parameters for histology reporting of lung cancer resection specimens. Routine use of this data set is recommended for all pathology reporting of resected lung cancer and it is freely available worldwide on the ICCR website (https://www.iccr-cancer.org/datasets/published-datasets/). Widespread implementation will help to ensure consistent and comprehensive pathology reporting and data collection essential for lung cancer patient care, clinical trials and other research.

Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features.

To differentiate invasive lepidic predominant adenocarcinoma (iLPA) from adenocarcinoma in situ (AIS)/minimally invasive adenocarcinoma (MIA) of lung utilizing visual semantic and computer-aided detection (CAD)-based texture features on subjects initially diagnosed as AIS or MIA with CT-guided biopsy. From 2011 to 2017, all patients with CT-guided biopsy results of AIS or MIA who subsequently underwent resection were identified. CT scan before the biopsy was used to assess visual semantic and CAD texture features, totaling 23 semantic and 95 CAD-based quantitative texture variables. The least absolute shrinkage and selection operator (LASSO) method or forward selection was used to select the most predictive feature and combination of semantic and texture features for detection of invasive lung adenocarcinoma. Among the 33 core needle-biopsied patients with AIS/MIA pathology, 24 (72.7%) had invasive LPA and 9 (27.3%) had AIS/MIA on resection. On CT, visual semantic features included 21 (63.6%) part-solid, 5 (15.2%) pure ground glass, and 7 (21.2%) solid nodules. LASSO selected seven variables for the model, but all were not statistically significant. "Volume" was found to be statistically significant when assessing the correlation between independent variables using the backward selection technique. The LASSO selected "tumor_Perc95", "nodule surround", "small cyst-like spaces", and "volume" when assessing the correlation between independent variables. Lung biopsy results showing noninvasive LPA underestimate invasiveness. Although statistically non-significant, some semantic features showed potential for predicting invasiveness, with septal stretching absent in all noninvasive cases, and solid consistency present in a significant portion of invasive cases.

Application of 18 F-fluorodeoxyglucose PET/computed tomography in the diagnosis of infiltrative subsolid nodules in lung adenocarcinoma.

To investigate the diagnostic value of 18 F-fluorodeoxyglucose(FDG) PET/computed tomography (CT) for infiltrative subsolid nodules at different stages of lung adenocarcinoma and to explore predictive factors for invasive adenocarcinoma, providing compelling evidence for timely intervention. A retrospective analysis was conducted on PET/CT imaging data of 170 subsolid nodules lesions confirmed postoperatively as lung adenocarcinoma or precursor glandular lesions. Lesions were categorized into preinvasive lesions including atypical adenomatous hyperplasia and adenocarcinoma in situ, microinvasive adenocarcinoma, and invasive adenocarcinoma. Compared the differences in imaging features and metabolic parameters among different groups and used a multifactor logistic regression model and receiver operating characteristic curve analysis to identify predictive factors for invasive adenocarcinoma. From preinvasive lesions through microinvasive adenocarcinoma to invasive adenocarcinoma, there was a gradual increase in nodule diameter, nodule area, and proportion of part-solid nodule. Statistical significance ( P < 0.05) was observed in the rates of spiculation and pleural indentation between preinvasive lesions versus microinvasive adenocarcinoma and invasive adenocarcinoma groups. The maximum standardized uptake value and maximum standardized uptake ratio show statistically significant differences ( P < 0.05) between the invasive adenocarcinoma group and the other groups. Logistic regression analysis indicated that nodule composition, nodule diameter, and maximum standardized uptake ratio were predictive factors for invasive adenocarcinoma ( P < 0.05). For part-solid nodules, the longest diameter of the solid component has a high diagnostic value. The imaging features of 18 F-FDG PET/CT contribute to the diagnosis of infiltrative subsolid nodules at different stages of lung adenocarcinoma, providing robust evidence for timely intervention.

MA09.13 Clinical Outcome of Bilateral Invasive Mucinous Adenocarcinoma(IMA) without Mediastinal Nodal Involvement from SEER Database

MA09.13 Clinical Outcome of Bilateral Invasive Mucinous Adenocarcinoma(IMA) without Mediastinal Nodal Involvement from SEER Database