Multiple pulmonary nodules with central cavitation.
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Four cases are discussed in which were found unusual multiple chronic pulmonary nodules: leiomyomatous hamartomas, rheumatoid nodules, multiple histoplasmomas, and possible multiple plasma cell granulomas (hyalinizing pulmonary nodules). In each case the initial impression of metastic malignancy was countered by more than 2 years' observation, during which time the lesions appeared to be benign. Histologic examination is necessary to exclude malignancy, although a definitive diagnosis may be difficult to establish.
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A case of pulmonary hyalinizing granuloma was presented. The patient was a 37-year-old male who was found to have abnormal chest roentgenograms showing multiple pulmonary nodules taken at the annual chest mass survey in October 1989. The largest nodule measured 35 mm in diameter. He was asymptomatic. No definite diagnosis was established either by brushing cytology, biopsy through bronchoscopy or percutaneous needle biopsy. No abnormalities were found in the GI tract, the urogenital system or the bone. Brain CT indicated an iso-density area surrounded by low density in the left fronto-parietal region. Two nodules of the lingula removed by open lung biopsy revealed a homogeneous cut surface. Histological diagnosis was pulmonary hyalinizing granuloma, consisting of hyalinized collagen fibers and bundles infiltrated with chronic inflammatory cells. No therapeutic effect was recognized with prednisolone. Craniotomy was performed and the brain lesion was removed. Anaplastic astrocytoma was the diagnosis. The brain lesion had no etiological correlation with pulmonary hyalinizing granuloma. Pulmonary hyalinizing granuloma itself is a rare benign disease with no specific therapy and is important in the differential diagnosis of lung diseases showing multiple pulmonary nodules.
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This paper describes the salient clinical and radiological features of two patients with lymphomatoid granulomatosis of the lungs. We have, in addition, reviewed the previously documented 22 cases in which radiographs were published along with their case histories. The commonest radiographic appearance, that of bilateral multiple pulmonary nodules, should not be mistaken for multiple metastases.
A 42-year-old woman was found to have multiple pulmonary nodules 7 years after hysterectomy for leiomyoma. Thoracotomy revealed multiple well differentiated smooth muscle masses containing epithelial inclusions. This patient is similar to others previously reported as examples of "multiple pulmonary fibroleiomyomatous hamartoma" on the basis of slow-growth, benign-appearing histology, and the presence of epithelial elements. Evidence is presented which suggests that these cases represent metastasis from well differentiated leiomyosarcomas. There is a frequent association with uterine smooth-muscle tumor, cases with equally benign-appearing histology have shown lymph node metastasis, the nonmesenchymal elements have been shown to represent engulphed bits of adjacent pulmonary tissue, and the histologic di-ferentiation of benign from malignant mesenchymal tumors is known to be unreliable in some cases. Unlike more anaplastic leiomyosarcomas, this condition may be associated with few symptoms and prolonged survival despite widespread disease.
A patient with steroid hormones or androgen producing bronchogenic adenocarcinoma was presented. Clinically he had a mediastinal mass and bilateral multiple pulmonary nodules which showed a rapid growth despite cancer chemotherapy. At postmortem examination, radioimmunoassay of the tumor tissue revealed androgen and their precursors. The mitochondria of the tumor cells resembled those of cells in the zona reticularis of the adrenal cortex.
Metastatic tumor to the lungs is one of the most important factors in the poor prognosis of primary osteosarcoma of bone. Until recently, pulmonary resection alone was the only therapeutic method available to salvage these patients. Previous investigators have reviewed a number of clinical and pathologic parameters which may possibly relate to the prognosis of osteosarcoma and the occurrence of pulmonary metastases. The pathologic features of these latter lesions have received little attention other than to state that they generally are less differentiated than the primary tumor. A review of multiple pulmonary nodules resected from 15 patients has demonstrated that 66% of all lesions were essentially identical to the primary tumor. The 5-year survival from the original amputation was 33% in this series; however, it was not possible to prognosticate a favorable outcome from the metastasis, a similar type of observation which has been made by others in relation to the primary osteosarcoma.
Amyloidosis limited to the lower respiratory tract is a relatively rare condition. Three new patients are reported, and the pertinent literature is reviewed. The available information is discussed with regard to clinical forms, diagnostic methods, therapy, and clinical course. Tracheobronchial deposition is the most frequent form of localized amyloidosis; it affects relatively younger persons and often gives rise to symptoms of airway obstruction. Bronchoscopy, although carrying a risk of bleeding, is the procedure of choice diagnostically and therapeutically. Single or multiple pulmonary nodules are usually discovered as an incidental roentgenographic finding, and surgical resection (for suspected malignancy) has resulted in cure in all cases. On rare occasions, amyloid may be deposited diffusely in the pulmonary parenchyma, leading to death from respiratory insufficiency.
A patient who had undergone amputation and adjuvant chemotherapy with methotrexate doxorubicin hydrochloride for osteosarcoma of the femur later developed granulomatous hilar and paratracheal lymphadenopathy and multiple pulmonary nodules. Biopsy of the nodules showed noncaseating granulomas typical of sarcoidosis. Hilar adenopathy and granulomatous pneumonitis have been reported following methotrexate therapy, but a roentgenographic pattern of isolated, discrete pulmonary nodules has not been described. Treatment with immunosuppressive chemotherapy may have inhibited the development of sarcoidosis, which became manifest only after cessation of the chemotherapy.
BACKGROUND: It remains uncertain for how long pure ground-glass nodules (pGGNs) detected on low-dose CT (LDCT) imaging should be followed up. Further studies with longer follow-up periods are needed to determine the optimal follow-up duration for pGGNs. RESEARCH QUESTION: What is the percentage of enlarging nodules among pGGNs that have remained stable for 10 years? STUDY DESIGN AND METHODS: This was a retrospective cohort study originating from participants with pGGNs detected on LDCT scans between 1997 and 2006 whose natural courses were reported in 2013. We re-analyzed all the follow-up data until July 2022. The study participants were followed up per our institutional guidelines until they were no longer a candidate for definitive treatment. The growth of the pGGNs was defined as an increase in the diameter of the entire nodule by ≥ 2 mm or the appearance of new solid portions within the nodules. RESULTS: A total of 89 patients with 135 pGGNs were followed up for a median of 193 months. Of 135 pGGNs, 23 (17.0%) increased in size, and the median time to the first detection of a size change was 71 months. Of the 135 pGGNs, 122 were detected on the first LDCT scan and 13 were newly detected on the follow-up CT scan. An increase in size was observed within 5 years in 8 nodules (34.8%), between 5 and 10 years in 12 nodules (52.2%), and after 10 years in three nodules (13.0%). Fifteen nodules were histologically confirmed as adenocarcinoma by surgery. Among the 76 pGGNs stable for 10 years, 3 (3.9%) increased in size. INTERPRETATION: Among pGGNs that remained stable for 10 years, 3.9% eventually grew, indicating that some pGGNs can grow even following a long period of stability. We suggest that pGGNs may need to be followed up for > 10 years to confirm growth.
Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans remains time-intensive and demanding. Currently, artificial intelligence (AI) is expected to reduce reading times, but the effect of AI on reporting times in this setting is unknown. Purpose To evaluate the impact of a commercial AI software on radiologists' reading time for pulmonary nodule assessment on chest CT scans within a real-world clinical setting. Materials and Methods This retrospective study included patients who underwent chest CT examinations at a tertiary medical center between September 2021 and May 2024. The study period was divided into pre- and post-AI phases. The primary outcome was radiology reporting time. The association between AI implementation and reporting time was evaluated using a multivariable parametric Weibull shared frailty survival model adjusted for reader function, examination type, patient location, and requesting specialty, with clustering at the radiologist level. Interaction analyses assessed heterogeneity across prespecified subgroups. An exploratory extrapolation estimated projected workforce and financial impact. Results This study included 19 433 patients (mean age, 62 years ± 14.2 [SD]; 21 814 men; 39 323 chest CT examinations, 19 190 pre-AI, and 20 133 post-AI). AI implementation was associated with faster report completion (adjusted hazard ratio, 1.17; 95% CI: 1.14, 1.21; P < .001). The adjusted median reporting time decreased from 21.3 minutes pre-AI to 18.2 minutes post-AI (14.6% reduction; P < .001). Heterogeneity was observed across reader function (P < .001), examination type (P = .048), and requesting specialty (P = .03). The largest relative reductions were observed for CT thorax electrocardiogram-gated examinations (-41.1%; P < .001) and thoracic radiologists (-25.0%; P < .001), whereas emergency department examinations showed increased median reporting time (7.1%; P < .001). At institutional scan volumes (approximately 20 000-22 000 chest CT examinations annually), exploratory modeling suggested an approximate reduction of 0.5 full-time equivalent radiologist workload. Conclusion Implementation of commercial AI-assisted pulmonary nodule assessment on chest CT scans reduced radiologist reporting time in a real-world clinical setting. © The Author(s) 2026. Published by the Radiological Society of North America under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Iwasawa in this issue.
Multiple large pulmonary nodules are an uncommon manifestation of sarcoidosis. Cavitation of these nodules has not previously been reported. An asymptomatic young white man had this unusual roentgenographic finding. Open-lung biopsy for diagnosis revealed noncaseating granulomata but did not elucidate the pathogenesis of the cavitation.