1
|
Tipaldi MA, Ronconi E, Ubaldi N, Bozzi F, Siciliano F, Zolovkins A, Orgera G, Krokidis M, Quarta Colosso G, Rossi M. Histology profiling of lung tumors: tru-cut versus full-core system for CT-guided biopsies. LA RADIOLOGIA MEDICA 2024; 129:566-574. [PMID: 38512617 PMCID: PMC11021310 DOI: 10.1007/s11547-024-01772-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/03/2024] [Indexed: 03/23/2024]
Abstract
PURPOSE We aimed to compare the diagnostic yield and procedure-related complications of two different types of systems for percutaneous CT-guided lung biopsy. MATERIAL AND METHODS All patients with a lung lesion who underwent a CT-guided lung biopsy at our institution, between January 2019 and 2021, were retrospectively analyzed. The inclusion criteria were: (a) Procedures performed using either a fully automated tru-cut or a semi-automated full-core biopsy needle, (b) CT images demonstrating the position of the needles within the lesion, (c) histopathological result of the biopsy and (d) clinical follow-up for at least 12 months and\or surgical histopathological results. A total of 400 biopsy fulfilling the inclusion criteria were selected and enrolled in the study. RESULTS Overall technical success was 100% and diagnostic accuracy was 84%. Tru-cut needles showed a significantly higher diagnostic accuracy when compared to full-core needles (91% vs. 77%, p = 0.0004) and a lower rate of pneumothorax (31% vs. 41%, p = 0.047). Due to the statistically significant different of nodules size between the two groups, we reiterated the statistical analysis splitting our population around the 20 mm cut-off for nodule size. We still observed a significant difference in diagnostic accuracy between tru-cut and full-core needles favoring the former for both smaller and larger lesions (81% vs. 71%, p = 0.025; and 92% vs. 81%; p = 0.01, respectively). CONCLUSION Our results demonstrated that the use of automated tru-cut needles is associated with higher histopathological diagnostic accuracy compared to semi-automated full-core needles for CTLB.
Collapse
Affiliation(s)
- Marcello Andrea Tipaldi
- Department of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy.
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy.
| | - Edoardo Ronconi
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Nicolò Ubaldi
- Department of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Fernando Bozzi
- Department of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Francesco Siciliano
- Department of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Aleksejs Zolovkins
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Gianluigi Orgera
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Miltiadis Krokidis
- School of Medicine, National and Kapodistrian University of Athens Areteion Hospital 76, Vas. Sophias Ave, 11528, Athens, Greece
| | - Giulio Quarta Colosso
- Department of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| | - Michele Rossi
- Department of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy
- Department of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy
| |
Collapse
|
2
|
Liu W, Ji B, Bai L, Gao S. PET/CT-aided biopsy of lung lesions enhances diagnostic efficacy, especially for lesions >3cm. Front Oncol 2024; 14:1296553. [PMID: 38357204 PMCID: PMC10865498 DOI: 10.3389/fonc.2024.1296553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024] Open
Abstract
Objectives The purpose of this study was to compare the diagnostic efficacy of PET/CT-aided CT-guided and routine CT-guided transthoracic needle biopsy for lung lesions. Methods A total of 458 patients with suspicious lung lesions were referred for CT-guided biopsy, with 227 patients assigned to the PET/CT group and 231 patients assigned to the CT group. The clinical characteristics and diagnostic yield were compared between the two groups. Furthermore, conducting subgroup analysis to evaluate the differences of diagnostic success or failure between the two groups. Results The sensitivity and diagnostic accuracy rate differed significantly (P = 0.035, P = 0.048). In the PET/CT group, the values were 95.7% and 96.3%, respectively, while in the CT group, they were 90.1% and 91.9%. When considering non-diagnostic cases, the overall diagnostic success rate increased markedly in PET/CT group (93.0% vs. 83.1%, P = 0.001). In our subgroup analysis, the PET/CT group demonstrated superiority in detecting lesions larger than 3 cm (OR, 4.81; 95CI%, 2.03 - 11.36), while showing a moderate effect in lesions smaller than 3 cm (OR, 1.09; 95CI%, 0.42 - 2.81). Significant effect modification was observed in large lesions in the PET/CT group (P for interaction = 0.023). Conclusions 18F-FDG-PET/CT enhances the diagnostic efficacy of CT-guided transthoracic needle biopsy for lung lesions, and the incremental value can be modified by lesion size, particularly when the diameter is larger than 3 cm.
Collapse
Affiliation(s)
| | | | - Lin Bai
- Department of Nuclear Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Shi Gao
- Department of Nuclear Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| |
Collapse
|
3
|
Wolf AJ, Miller PM, Burk JR, Vigness RM, Hollingsworth JW. Ability of single anesthesia for combined robotic-assisted bronchoscopy and surgical lobectomy to reduce time between detection and treatment in stage I non-small cell lung cancer. Proc AMIA Symp 2023; 36:434-438. [PMID: 37334076 PMCID: PMC10269424 DOI: 10.1080/08998280.2023.2193134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/07/2023] [Accepted: 03/15/2023] [Indexed: 06/20/2023] Open
Abstract
Background Background: Early identification, diagnosis, and treatment of lung cancer is associated with improved clinical outcomes. Robotic-assisted bronchoscopy improves the ability to diagnose early stage lung malignancies and, when combined with robotic-assisted lobectomy under single anesthesia, could reduce time from identification to intervention in early stage lung cancer in a select patient population. Methods Methods: A retrospective case-control single-center study compared patients with radiographic stage I non-small cell carcinoma (NSCCA) undergoing robotic navigational bronchoscopy and surgical resection (N = 22) with historical controls (N = 63). The primary outcome was time from initial radiographic identification of a pulmonary nodule to therapeutic intervention. Secondary outcomes included times between identification to biopsy, biopsy to surgery, and procedural complications. Results Results: Patients with suspected stage I NSCCA who received single anesthesia for diagnosis and intervention with robotic-assisted bronchoscopy and robotic-assisted lobectomy had shorter times between identification of a pulmonary nodule and intervention compared to controls (65 vs 116 days, P = 0.005). Cases had lower rates of complications (0% vs 5%) and shorter hospitalizations after surgery (3.6 vs 6.2 days, P = 0.017). Conclusion Conclusion: Our findings support that implementing a multidisciplinary thoracic oncology team and single-anesthesia biopsy-to-surgery approach in management of stage I NSCCA significantly reduced times from identification to intervention, biopsy to intervention, and length of hospital stays in management of lung cancer.
Collapse
Affiliation(s)
- Adam J. Wolf
- Texas Christian University Burnett School of Medicine, Fort Worth, Texas
| | - Paige M. Miller
- Texas Christian University Burnett School of Medicine, Fort Worth, Texas
| | - John R. Burk
- Department of Medicine, Texas Christian University Burnett School of Medicine, Fort Worth, Texas
- Department of Pulmonology and Critical Care, Texas Health Harris Methodist Hospital, Fort Worth, Texas
- Texas Pulmonary and Critical Care Consultants LLC, Fort Worth, Texas
| | - Richard M. Vigness
- Department of Thoracic Surgery, Texas Health Harris Methodist Hospital, Fort Worth, Texas
| | - John W. Hollingsworth
- Department of Medicine, Texas Christian University Burnett School of Medicine, Fort Worth, Texas
- Department of Pulmonology and Critical Care, Texas Health Harris Methodist Hospital, Fort Worth, Texas
- Texas Pulmonary and Critical Care Consultants LLC, Fort Worth, Texas
| |
Collapse
|
4
|
Borelli C, Vergara D, Simeone A, Pazienza L, Castorani G, Graziano P, Di Micco C, Quarato CMI, Sperandeo M. CT-Guided Transthoracic Biopsy of Pulmonary Lesions: Diagnostic versus Nondiagnostic Results. Diagnostics (Basel) 2022; 12:diagnostics12020359. [PMID: 35204450 PMCID: PMC8871309 DOI: 10.3390/diagnostics12020359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/22/2022] [Accepted: 01/28/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: Despite the high accuracy of CT-guided transthoracic biopsy for diagnosis of pulmonary lesions, in a certain amount of cases biopsy results may indicate the presence of nonspecific findings or insufficient material. We aimed to investigate the effectiveness of CT-guided transthoracic biopsy of pulmonary lesions in providing a specific diagnosis and to analyze the variables affecting biopsy results. (2) Methods: In this retrospective study, a total of 170 patients undergoing 183 CT-guided transthoracic biopsies of pulmonary lesions were included. The clinical, radiological and pathological data were reviewed to classify biopsy results as diagnostic or nondiagnostic and to identify which variables were associated with the two groups. (3) Results: The biopsy results were diagnostic in 150 cases (82.0%), of which 131 (87.3%) positive for malignancy and 19 (12.7%) with specific benign lesions, and nondiagnostic in 33 cases (18.0%). Twenty-two of the thirty-three (66.7%) nondiagnostic cases were finally determined as malignancies and eleven (33.3%) as benign lesions. In the diagnostic group, all the 131 biopsies positive for malignancy were confirmed to be malignant at final diagnosis (87.3%); of 19 biopsies with specific benign lesions, 13 cases were confirmed to be benign (8.7%), whereas six cases had a final diagnosis of malignancy (4%). Multivariate analysis showed increased risk of nondiagnostic biopsy for lesions ≤ 20 mm (p = 0.006) and lesions with final diagnosis of benignity (p = 0.001). (4) Conclusions: CT-guided transthoracic lung biopsy is an effective technique for the specific diagnosis of pulmonary lesions, with a relatively acceptable proportion of nondiagnostic cases. Small lesion size and final benign diagnosis are risk factors for nondiagnostic biopsy results.
Collapse
Affiliation(s)
- Cristina Borelli
- Unit of Radiology, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy; (D.V.); (A.S.); (L.P.); (G.C.)
- Correspondence:
| | - Doriana Vergara
- Unit of Radiology, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy; (D.V.); (A.S.); (L.P.); (G.C.)
| | - Anna Simeone
- Unit of Radiology, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy; (D.V.); (A.S.); (L.P.); (G.C.)
| | - Luca Pazienza
- Unit of Radiology, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy; (D.V.); (A.S.); (L.P.); (G.C.)
| | - Giulia Castorani
- Unit of Radiology, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy; (D.V.); (A.S.); (L.P.); (G.C.)
| | - Paolo Graziano
- Unit of Patology, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy;
| | - Concetta Di Micco
- Unit of Oncology, IRCCS Fondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy;
| | | | - Marco Sperandeo
- Unit of Interventional and Diagnostic Ultrasound of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy;
| |
Collapse
|