BACKGROUND: Since the popularization of computed tomography (CT) technology, the detection rate of pulmonary ground glass nodules (GGNs) with imaging follow-up as the main management method has increased significantly. The purpose of this study is to quantitatively analyze the changes of pulmonary GGNs during the follow-up process with three-dimensional reconstruction technology, explore the natural progression of pulmonary GGNs, and provide effective basis for clinical guidance for patients to conduct reasonable management of nodules. METHODS: A total of 115 cases of pulmonary GGNs with regular follow-up in the Combined Outpatient Department of Zhoushan Hospital from March 2015 to November 2022 were enrolled. Quantitative imaging features of nodules were extracted by semi-automatic segmentation of 3D Slicer software to evaluate the growth of nodules and clinical intervention during follow-up. RESULTS: The average baseline age of the patients was (56.9±10.1) yr. The mean follow-up time was (48.8±18.9) months. The two-dimensional diameter of baseline CT scan was (7.9±2.9) mm, and the maximum three-dimensional diameter was (10.1±3.4) mm. The two-dimensional diameter of the last CT scan was (9.9±4.7) mm, and the maximum three-dimensional diameter was (11.4±5.1) mm. A total of 27 cases (23.5%) showed an increase during follow-up, with a median volume doubling time of 822 days and a median mass doubling time of 1,007 days. 32 cases were surgically resected, including 6 cases of invasive adenocarcinoma (IAC), 16 cases of minimally invasive adenocarcinoma (MIA), 8 cases of adenocarcinoma in situ (AIS) and 2 cases of atypical adenomatous hyperplasia (AAH). Five nodules underwent surgical intervention due to the progression of two-dimensional diameter, which was pathologically confirmed as pre-invasive lesions, but their three-dimensional maximum diameter showed no significant change. Nodular morphology, lobulated sign, spiculated sign and vacuole signs all promoted the growth of nodules in univariate analysis. There were significant differences in age, baseline diameter, mean CT value, median CT value, 10% and 90% percentile CT number between the growth group and the stable group (P<0.05). Multivariate Logistic regression analysis showed that age and average CT value were risk factors for nodule growth (P<0.05). Receiver-operating characteristic (ROC) curve analysis results indicated that the age ≥63 years old, the baseline three-dimensional maximum diameter ≥9.2 mm, and the average CT value ≥-507.8 HU were more likely to accelerate the growth of GGNs. The maximum three-dimensional diameter ≥14.4 mm and the average CT value ≥-495.7 HU may be a higher malignant probability. CONCLUSIONS GGNs show an inert growth process, and the use of three-dimensional measurements during follow-up is of greater significance. For persistent glass grinding nodules ≥63 years old, the baseline three-dimensional maximum diameter ≥9.2 mm, and the average CT value ≥-507.8 HU are more likely to increase. However, most nodules still have good prognosis after progression, and long-term follow-up is safe.
Humans ; Middle Aged ; Lung Neoplasms/pathology* ; Imaging, Three-Dimensional ; Neoplasm Invasiveness ; Retrospective Studies ; Multiple Pulmonary Nodules/pathology* ; Adenocarcinoma/pathology*

CT screening has markedly reduced the lung cancer mortality in high-risk population and increased the detection of early-stage pulmonary neoplasms, including multiple pulmonary nodules, especially those with a ground-glass appearance on CT. Multiple primary lung cancer (MPLC) constitutes a specific subtype of lung cancer with indolent biological behaviors, which is predominantly early-stage adenocarcinoma. Although MPLC progresses slowly with rare lymphatic metastasis, existence of synchronous lesions and distributed location of these nodules still pose difficulty for the management of such patients. One single operation is usually insufficient to eradicate all neoplastic lesions, whereas repeated surgical procedures bring about another dilemma: whether clinical benefits of surgical treatment outweigh loss of pulmonary function following multiple operations. Therefore, despite the anxiety for treatment among MPLC patients, whether and how to treat the patient should be assessed meticulously. Currently there is a heated discussion upon the timing of clinical intervention, operation mode and the application of local therapy in MPLC. Based on clinical experience of our multiple disciplinary team, we have summarized and commented on the evaluation, surgical treatment, non-surgical local treatment, targeted therapy and immunotherapy of MPLC in this article to provide further insight into this field.
Humans ; Multiple Pulmonary Nodules/surgery* ; Lung Neoplasms/surgery* ; Adenocarcinoma/surgery* ; Lung/pathology* ; Tomography, X-Ray Computed

BACKGROUND: At present, more and more studies predict invasive adenocarcinoma (IAC) through three-dimensional features of pulmonary nodules, but few studies have confirmed that three-dimensional features have more advantages in diagnosing IAC than traditional two-dimensional features of pulmonary nodules. This study analyzed the differences of chest computed tomography (CT) features between IAC and minimally invasive adenocarcinoma (MIA) from three-dimensional and two-dimensional levels, and compared the ability of diagnosing IAC. The non-invasive adenocarcinoma group includes precursor glandular lesions (PGL) and minimally invasive adenocarcinoma (MIA). METHODS: The clinical data of 1,045 patients with ground glass opacity (GGO) from January to December 2019 were collected. Then the correlation between preoperative CT image characteristics and pathological results were analyzed retrospectively. The independent influencing factors for the identification of IAC were screened out according to two-dimensional and three-dimensional classification by multivariate Logistic regression and the cut-off point for the identification of IAC was found out through the receiver operating characteristic (ROC) curve. At last, the ability of diagnosing IAC was evaluated by Yoden index. RESULTS: The diameter of nodule, the diameter of solid component, the diameter of mediastinal window nodule in two-dimensional factors, and the volume of nodule, the volume of solid part and the average CT value in three-dimensional factors were independent risk factors for the diagnosis of IAC. These factors were arranged by Yoden index: solid partial volume (0.601)>nodule volume (0.536)>solid component diameter (0.525)>nodule diameter (0.518)>mediastinal window nodule diameter (0.488)>proportion of solid component volume (0.471)>1-tumor disappearance ratio (TDR) (0.468)>consolidation tumor ratio (CTR) (0.394)>average CT value (0.380). CONCLUSIONS The CT features of three-dimensional are better than two-dimensional in the diagnosis of IAC, and the size of solid components is better than the overall size of nodules.
Humans ; Lung Neoplasms/pathology* ; Retrospective Studies ; Neoplasm Invasiveness ; Multiple Pulmonary Nodules/diagnostic imaging* ; Adenocarcinoma/pathology*

Consolidation tumor ratio (CTR) is a hot issue in lung cancer imaging studies in recent years. It is defined as the proportion of the maximum consolidation diameter divided by the maximum tumor diameter in the lung window scanned by high resolution computed tomography (HRCT). Many studies have also confirmed that it can be used as an indicator to identify whether a lung tumor is benign or malignant at the early stage, the main basis on which to decide whether sublobectomy can be performed, and is an independent factor for the recurrence and prognosis of early-stage lung cancer. Especially after tumor size and CTR results of JCOG0804 and JCOG0802 trials in Japan were published, a breakthrough in the treatment method upends the conventional surgical approach, which benefits patients with early-stage lung cancer. But insufficient research data on CTR leads to the fact that an evaluation system to measure CTR is yet to be built. This paper discusses the research progress in CTR prediction of benign or malignancy of pulmonary nodules, how to choose a surgical approach, lymph node dissection, spread through air spaces (STAS) and other hot issues. It also investigates the possible indicators to predict efficacy based on CTR, summarizes and analyzes the development trend of surgical methods to treat early-stage peripheral lung cancer and challenges, to provide new ideas for clinical application.
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Humans ; Lung Neoplasms/surgery* ; Neoplasm Staging ; Lung/pathology* ; Multiple Pulmonary Nodules/pathology* ; Tomography, X-Ray Computed ; Prognosis ; Retrospective Studies

BACKGROUND: Lung cancer is the cancer with the highest mortality at home and abroad at present. The detection of lung nodules is a key step to reducing the mortality of lung cancer. Artificial intelligence-assisted diagnosis system presents as the state of the art in the area of nodule detection, differentiation between benign and malignant and diagnosis of invasive subtypes, however, a validation with clinical data is necessary for further application. Therefore, the aim of this study is to evaluate the effectiveness of artificial intelligence-assisted diagnosis system in predicting the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules. METHODS: Clinical data of 223 patients with early-stage lung adenocarcinoma appearing as pulmonary nodules admitted to the Lanzhou University Second Hospital from January 1st, 2016 to December 31th, 2021 were retrospectively analyzed, which were divided into invasive adenocarcinoma group (n=170) and non-invasive adenocarcinoma group (n=53), and the non-invasive adenocarcinoma group was subdivided into minimally invasive adenocarcinoma group (n=31) and preinvasive lesions group (n=22). The malignant probability and imaging characteristics of each group were compared to analyze their predictive ability for the invasive subtypes of early-stage lung adenocarcinoma. The concordance between qualitative diagnostic results of artificial intelligence-assisted diagnosis of the invasive subtypes of early-stage lung adenocarcinoma and postoperative pathology was then analyzed. RESULTS: In different invasive subtypes of early-stage lung adenocarcinoma, the mean CT value of pulmonary nodules (P<0.001), diameter (P<0.001), volume (P<0.001), malignant probability (P<0.001), pleural retraction sign (P<0.001), lobulation (P<0.001), spiculation (P<0.001) were significantly different. At the same time, it was also found that with the increased invasiveness of different invasive subtypes of early-stage lung adenocarcinoma, the proportion of dominant signs of each group gradually increased. On the issue of binary classification, the sensitivity, specificity, and area under the curve (AUC) values of the artificial intelligence-assisted diagnosis system for the qualitative diagnosis of invasive subtypes of early-stage lung adenocarcinoma were 81.76%, 92.45% and 0.871 respectively. On the issue of three classification, the accuracy, recall rate, F1 score, and AUC values of the artificial intelligence-assisted diagnosis system for the qualitative diagnosis of invasive subtypes of early-stage lung adenocarcinoma were 83.86%, 85.03%, 76.46% and 0.879 respectively. CONCLUSIONS Artificial intelligence-assisted diagnosis system could predict the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules, and has a certain predictive value. With the optimization of algorithms and the improvement of data, it may provide guidance for individualized treatment of patients.
Adenocarcinoma/pathology* ; Adenocarcinoma of Lung/pathology* ; Artificial Intelligence ; Humans ; Lung Neoplasms/pathology* ; Multiple Pulmonary Nodules ; Neoplasm Invasiveness ; Retrospective Studies

BACKGROUND: Localization of multiple small lung nodules is the technical difficulty of minimally invasive operation resection. However, there are few clinical studies on the preoperative localization of multiple small lung nodules. This study was designed to evaluate the clinical value of preoperative computed tomography (CT) guided microcoil localization for multiple small lung nodules compared with single small lung nodule before video-assisted thoracoscopic surgery (VATS). METHODS: A retrospective analysis of the clinical data of 235 patients with preoperative pulmonary nodules microcoil localization was performed. According to whether the nodules were single, they were divided into single nodule group (184 cases) and multiple nodules group (51 cases) (multiple nodules group). The single nodule group was positioned under CT-guided conventional methods. The multiple nodules group were CT guided localized by microcoil in batches according to priority before VATS. The success rate, complications, pathological results and localization operations related data were statistically analyzed. RESULTS: The success rate of localization in multiple nodule groups was 90.2%, there was no significant difference compared with the single nodule group (90.2% vs 94.6%, P=0.205). The occurrence rate of pneumothorax in multiple nodule group and single nodule group was no statistical difference (21.6% vs 14.1%, P=0.179), however, the operation time in the multiple nodule group was significantly longer than the single nodule group [(30.6±6.6) min vs (19.9±7.4) min, P=0.000]. There were no serious complications such as massive hemoptysis, air embolism or hemothorax. There was no conversion to thoracotomy due to failure of localizing the nodules during operation. Sub-lobectomy was the main method of operation. The majority of postoperative pathologies were non-invasive carcinomas. CONCLUSIONS For multiple small lung pulmonary nodules requiring thoracoscopic surgery, according to certain strategies, preoperative CT-guided localized by microcoil in batches according to priority before VATS is safe and effective, and worthy of promotion.
Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Lung Neoplasms ; diagnostic imaging ; pathology ; surgery ; Male ; Middle Aged ; Multiple Pulmonary Nodules ; diagnostic imaging ; pathology ; surgery ; Preoperative Period ; Retrospective Studies ; Surgery, Computer-Assisted ; Thoracic Surgery, Video-Assisted ; instrumentation ; Tomography, X-Ray Computed ; Treatment Outcome ; Tumor Burden

Adrenal Cortex Hormones ; metabolism ; Adrenergic beta-2 Receptor Agonists ; metabolism ; Humans ; Multiple Pulmonary Nodules ; diagnosis ; metabolism ; pathology ; Pulmonary Disease, Chronic Obstructive ; diagnosis ; metabolism ; pathology ; World Health Organization

The aim of this study was to propose an algorithm for three-dimensional projection onto convex sets (3D POCS) to achieve super resolution reconstruction of 3D lung computer tomography (CT) images, and to introduce multi-resolution mixed display mode to make 3D visualization of pulmonary nodules. Firstly, we built the low resolution 3D images which have spatial displacement in sub pixel level between each other and generate the reference image. Then, we mapped the low resolution images into the high resolution reference image using 3D motion estimation and revised the reference image based on the consistency constraint convex sets to reconstruct the 3D high resolution images iteratively. Finally, we displayed the different resolution images simultaneously. We then estimated the performance of provided method on 5 image sets and compared them with those of 3 interpolation reconstruction methods. The experiments showed that the performance of 3D POCS algorithm was better than that of 3 interpolation reconstruction methods in two aspects, i.e., subjective and objective aspects, and mixed display mode is suitable to the 3D visualization of high resolution of pulmonary nodules.
Algorithms ; Humans ; Imaging, Three-Dimensional ; Lung ; pathology ; Multiple Pulmonary Nodules ; diagnosis ; Tomography, X-Ray Computed

A 49-year-old Chinese woman was referred to our hospital for management of multiple lung nodules, which were incidentally detected on routine chest radiography. Chest computed tomography (CT) confirmed the presence of multiple pulmonary nodules and lung cysts. The lung cysts were located apart from the pulmonary nodules. CT-guided biopsy of the pulmonary nodule specimens confirmed the diagnosis of nodular pulmonary amyloidosis. While cavitation of existing pulmonary amyloid nodules is a well-recognised feature of nodular pulmonary amyloidosis, widespread lung cysts located apart from pulmonary nodules is rare.
Amyloidosis ; diagnosis ; pathology ; Biopsy ; Cysts ; diagnosis ; Female ; Humans ; Immunohistochemistry ; Lung ; pathology ; Middle Aged ; Multiple Pulmonary Nodules ; diagnosis ; pathology ; Radiography, Thoracic ; Tomography, X-Ray Computed

The radiological appearance of diffuse discrete pulmonary nodules associated with cryptogenic organizing pneumonia (COP) has been rarely described. We describe a case of COP in 49-year-old woman with acute myeloid leukemia who developed diffuse pulmonary nodules during the second course of induction chemotherapy. The clinical status of the patient and imaging findings suggested the presence of a pulmonary metastasis or infectious disease. A video-assisted thoracoscopic lung biopsy resulted in the unexpected diagnosis of COP as an isolated entity. Steroid therapy led to dramatic improvement of the clinical symptoms and the pulmonary lesions.
Cryptogenic Organizing Pneumonia/complications/*radiography ; Diagnosis, Differential ; Female ; Humans ; Leukemia, Myeloid, Acute/*complications/pathology ; Lung/*radiography ; Lung Neoplasms/radiography/secondary ; Middle Aged ; Multiple Pulmonary Nodules/complications/*radiography