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Cinar HG, Memis KB, Oztepe MF, Fatihoglu E, Aydin S, Kantarci M. Effectiveness of Apparent Diffusion Coefficient Values in Predicting Pathologic Subtypes and Grade in Non-Small-Cell Lung Cancer. Diagnostics (Basel) 2024; 14:1795. [PMID: 39202283 PMCID: PMC11354131 DOI: 10.3390/diagnostics14161795] [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: 07/13/2024] [Revised: 08/08/2024] [Accepted: 08/14/2024] [Indexed: 09/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVE The aim of this study is to evaluate the effectiveness of apparent diffusion coefficient (ADC) values in predicting pathologic subtypes and grade in non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS From January 2018 to March 2020, 48 surgically diagnosed NSCLC cases were included in this study. To obtain ADC values, ADC maps were constructed, and a region of interest was put on the tumor. The values were measured three times from different places of the lesion, and the mean value of these measurements was recorded. All MRI scans were evaluated by two radiologists in consensus. RESULTS A total of 14 cases were squamous cell cancer, 32 cases were adenocarcinoma, and 2 cases were large cell carcinoma. The mean ADC values of adenocarcinoma, squamous cell carcinoma, and large cell cancer were 1.51 ± 0.19 × 10-3 mm2/s, 1.32 ± 0.15 × 10-3 mm2/s, and 1.39 ± 0.25 × 10-3 mm2/s, respectively. There were 11 grade 1, 27 grade 2, and 10 grade 3 NSCLC cases. The mean ADC value was 1.44 ± 0.14 × 10-3 mm2/s in grade 1 tumors, 1.25 ± 0.10 × 10-3 mm2/s in grade 2 tumors, and 1.07 ± 0.15 × 10-3 mm2/s in grade 3 tumors. The cut-off value to discriminate grade 2 from grade 1 tumors was 1.31 ± 0.11 × 10-3 mm2/s (85% sensitivity, 75% specificity). The cut-off value to discriminate grade 3 from grade 2 tumors was 1.11 ± 0.15 × 10-3 mm2/s (87% sensitivity, 69% specificity). CONCLUSIONS ADC values can accurately predict NSCLC histopathologic subtypes and tumor grade.
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Affiliation(s)
- Hasibe Gokce Cinar
- Department of Pediatric Radiology, Etlik City Hospital, 06170 Ankara, Turkey;
| | - Kemal Bugra Memis
- Department of Radiology, Erzincan Binali Yildirim University, 24100 Erzincan, Turkey; (K.B.M.); (E.F.); (M.K.)
| | - Muhammet Firat Oztepe
- Department of Radiology, Batman Training and Research Hospital, 72000 Batman, Turkey;
| | - Erdem Fatihoglu
- Department of Radiology, Erzincan Binali Yildirim University, 24100 Erzincan, Turkey; (K.B.M.); (E.F.); (M.K.)
| | - Sonay Aydin
- Department of Radiology, Erzincan Binali Yildirim University, 24100 Erzincan, Turkey; (K.B.M.); (E.F.); (M.K.)
| | - Mecit Kantarci
- Department of Radiology, Erzincan Binali Yildirim University, 24100 Erzincan, Turkey; (K.B.M.); (E.F.); (M.K.)
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Liu J, Xia X, Zou Q, Xie X, Lei Y, Wan Q, Li X. Diagnostic performance of diffusion-weighted imaging versus 18F-FDG PET/CT in differentiating pulmonary lesions: an updated meta-analysis of comparative studies. BMC Med Imaging 2023; 23:37. [PMID: 36899303 PMCID: PMC10007793 DOI: 10.1186/s12880-023-00990-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/23/2023] [Indexed: 03/12/2023] Open
Abstract
OBJECTIVE To compare the diagnostic accuracy of diffusion-weighted imaging (DWI) and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for differentiating pulmonary nodules and masses. METHODS We systematically searched six databases, including PubMed, EMBASE, the Cochrane Library, and three Chinese databases, to identify studies that used both DWI and PET/CT to differentiate pulmonary nodules. The diagnostic performance of DWI and PET/CT was compared and pooled sensitivity and specificity were calculated along with 95% confidence intervals (CIs). The Quality Assessment of Diagnostic Accuracy Studies 2 was used to assess the quality of the included studies, and STATA 16.0 software was utilized to perform statistical analysis. RESULTS Overall, 10 studies that enrolled a total of 871 patients with 948 pulmonary nodules were included in this meta-analysis. DWI had greater pooled sensitivity (0.85 [95% CI 0.77-0.90]) and specificity (0.91 [95% CI 0.82-0.96]) than PET/CT (sensitivity, 0.82 [95% CI 0.70-0.90]); specificity, (0.81, [95% CI 0.72-0.87]). The area under the curve of DWI and PET/CT were 0.94 (95% CI 0.91-0.96) and 0.87 (95% CI 0.84-0.90) (Z = 1.58, P > 0.05), respectively. The diagnostic odds ratio of DWI (54.46, [95% CI 17.98-164.99]) was superior to that of PET/CT (15.77, [95% CI 8.19-30.37]). The Deeks' funnel plot asymmetry test showed no publication bias. The Spearman correlation coefficient test revealed no significant threshold effect. Lesion diameter and reference standard could be potential causes for the heterogeneity of both DWI and PET/CT studies, and quantitative or semi-quantitative parameters used would be a potential source of bias for PET/CT studies. CONCLUSION As a radiation-free technique, DWI may have similar performance compare with PET/CT in differentiating malignant pulmonary nodules or masses from benign ones.
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Affiliation(s)
- Jieqiong Liu
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China
| | - Xiaoying Xia
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China
| | - Qiao Zou
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China
| | - Xiaobin Xie
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China
| | - Yongxia Lei
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China
| | - Qi Wan
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China.
| | - Xinchun Li
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Yanjiangxilu No 151, Guangzhou, 510120, China.
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State of the Art: Lung Cancer Staging Using Updated Imaging Modalities. Bioengineering (Basel) 2022; 9:bioengineering9100493. [PMID: 36290461 PMCID: PMC9598500 DOI: 10.3390/bioengineering9100493] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Lung cancer is among the most common mortality causes worldwide. This scientific article is a comprehensive review of current knowledge regarding screening, subtyping, imaging, staging, and management of treatment response for lung cancer. The traditional imaging modality for screening and initial lung cancer diagnosis is computed tomography (CT). Recently, a dual-energy CT was proven to enhance the categorization of variable pulmonary lesions. The National Comprehensive Cancer Network (NCCN) recommends usage of fluorodeoxyglucose positron emission tomography (FDG PET) in concert with CT to properly stage lung cancer and to prevent fruitless thoracotomies. Diffusion MR is an alternative to FDG PET/CT that is radiation-free and has a comparable diagnostic performance. For response evaluation after treatment, FDG PET/CT is a potent modality which predicts survival better than CT. Updated knowledge of lung cancer genomic abnormalities and treatment regimens helps to improve the radiologists’ skills. Incorporating the radiologic experience is crucial for precise diagnosis, therapy planning, and surveillance of lung cancer.
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Volumetric analysis of intravoxel incoherent motion diffusion-weighted imaging in preoperative assessment of non-small cell lung cancer. Jpn J Radiol 2022; 40:903-913. [PMID: 35507139 DOI: 10.1007/s11604-022-01279-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/05/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To evaluate the potential of intravoxel incoherent motion (IVIM) and apparent diffusion coefficient (ADC) in the prediction of tumor grade, lymph node metastasis and pleural invasion of non-small cell lung cancer (NSCLC) before surgery. MATERIALS AND METHODS 65 patients diagnosed with NSCLC by surgery were enrolled. IVIM-DWI (10 b-values, 0-1000 s/mm2) was performed before surgery. The mean and minimum ADC (ADCmean, ADCmin) and IVIM parameters D, D* and f were independently measured and calculated by 2 radiologists by drawing regions of interest (ROIs) including the solid component of the whole tumor. Intraclass correlation coefficients (ICCs) were analysed. Spearman analysis was used to determine the correlation between IVIM parameters and tumor differentiation. Independent sample t-tests (normal distribution) or Mann-Whitney U tests (non-normal distribution) were used to compare the differences between the parameters in moderately-well and poorly differentiated groups, with and without lymph node metastasis and pleural invasion groups. Receiver operating characteristic (ROC) curves were generated. RESULTS The ADCmean, ADCmin, D and f values were negatively correlated with the pathological grades of tumor (P < 0.05). The ADCmean and D values of patients with poor differentiation and lymph node metastasis were significantly lower than that of patients with moderately-well differentiation and without lymph node metastasis (P < 0.001-0.012). The D value was significantly lower and f value was significantly higher among patients with pleural invasion than those without (P = 0.033 and < 0.001). ROC analysis showed that the area under the ROC curve (AUC) was larger for D in predicting the degree of differentiation (0.832) and lymph node metastasis (0.806), and higher for f in predicting pleural invasion (0.832). CONCLUSIONS IVIM is useful for predicting the tumor differentiation, lymph node metastasis and pleural invasion in NSCLC patients before surgery.
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Bak SH, Kim C, Kim CH, Ohno Y, Lee HY. Magnetic resonance imaging for lung cancer: a state-of-the-art review. PRECISION AND FUTURE MEDICINE 2022. [DOI: 10.23838/pfm.2021.00170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Usuda K, Ishikawa M, Iwai S, Yamagata A, Iijima Y, Motono N, Matoba M, Doai M, Hirata K, Uramoto H. Pulmonary Nodule and Mass: Superiority of MRI of Diffusion-Weighted Imaging and T2-Weighted Imaging to FDG-PET/CT. Cancers (Basel) 2021; 13:cancers13205166. [PMID: 34680313 PMCID: PMC8533899 DOI: 10.3390/cancers13205166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 09/25/2021] [Accepted: 10/12/2021] [Indexed: 12/01/2022] Open
Abstract
Simple Summary Although diffusion-weighted imaging (DWI) can be valuable for differential diagnosis of lung cancer from benign pulmonary nodules and masses (PNMs), the diagnostic capability may not be perfect. This study’s purpose was to compare the diagnostic efficacy of 18-fluoro-2-deoxy-glucose positron emission tomography–computed tomography (FDG-PET/CT) and magnetic resonance imaging (MRI) of DWI and T2-weighted imaging (T2WI) in PNMs. There were 278 lung cancers and 50 benign PNMs that were examined by FDG-PET/CT and MRI. The sensitivity of the maximum standardized uptake value (SUVmax) was significantly lower than that of the apparent diffusion coefficient (ADC) and the T2 contrast ratio (T2 CR). The accuracy of SUVmax was significantly lower than that of ADC and that of T2 CR. The sensitivity and accuracy of MRI were significantly higher than those of FDG-PET/CT. MRI can replace FDG-PET/CT for differential diagnosis of PNMs. Abstract The purpose of this retrospective study was to compare the diagnostic efficacy of FDG-PET/CT and MRI in discriminating malignant from benign pulmonary nodules and masses (PNMs). There were 278 lung cancers and 50 benign PNMs that were examined by FDG-PET/CT and MRI. The T2 contrast ratio (T2 CR) was designated as the ratio of T2 signal intensity of PNM divided by T2 signal intensity of the rhomboid muscle. The optimal cut-off values (OCVs) for differential diagnosis were 3.605 for maximum standardized uptake value (SUVmax), 1.459 × 10−3 mm2/s for apparent diffusion coefficient (ADC), and 2.46 for T2 CR. Areas under the receiver operating characteristics curves were 67.5% for SUVmax, 74.3% for ADC, and 72.4% for T2 CR, respectively. The sensitivity (0.658) of SUVmax was significantly lower than that (0.838) of ADC (p < 0.001) and that (0.871) of T2 CR (p < 0.001). The specificity (0.620) of SUVmax was that the same as (0.640) ADC and (0.640) of T2 CR. The accuracy (0.652) of SUVmax was significantly lower than that (0.808) of ADC (p < 0.001) and that (0.835) of T2 CR (p < 0.001). The sensitivity and accuracy of DWI and T2WI in MRI were significantly higher than those of FDG-PET/CT. Ultimately, MRI can replace FDG PET/CT for differential diagnosis of PNMs saving healthcare systems money while not sacrificing the quality of care.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
- Shimada Hospital, Fukui 910-0855, Japan
- Correspondence: ; Tel.: +81-76-286-2211; Fax: +81-76-286-1207
| | - Masahito Ishikawa
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
| | - Aika Yamagata
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
| | - Yoshihito Iijima
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.M.); (M.D.)
| | - Mariko Doai
- Department of Radiology, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.M.); (M.D.)
| | - Keiya Hirata
- MRI Center, Kanazawa Medical University Hospital, Ishikawa 920-0293, Japan;
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (A.Y.); (Y.I.); (N.M.); (H.U.)
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Novel Insights of T2-Weighted Imaging: Significance for Discriminating Lung Cancer from Benign Pulmonary Nodules and Masses. Cancers (Basel) 2021; 13:cancers13153713. [PMID: 34359616 PMCID: PMC8345147 DOI: 10.3390/cancers13153713] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/20/2021] [Accepted: 07/21/2021] [Indexed: 12/25/2022] Open
Abstract
Diffusion-weighted imaging is useful for discriminating lung cancer from benign pulmonary nodules and masses (BPNMs), however the diagnostic capability is not perfect. The aim of this research was to clarify whether T2-weighted imaging (T2WI) is efficient in discriminating lung cancer from BPNMs, especially from pulmonary abscesses. A T2 contrast ratio (T2 CR) for a pulmonary nodule is defined as the ratio of T2 signal intensity of a pulmonary nodule divided by the T2 signal intensity of the rhomboid muscle. There were 52 lung cancers and 40 inflammatory BPNMs (mycobacteria disease 12, pneumonia 13, pulmonary abscess 9, other 6) and seven non-inflammatory BPNMs. The T2 CR (2.14 ± 0.63) of lung cancers was significantly lower than that (2.68 ± 1.04) of BPNMs (p = 0.0021). The T2 CR of lung cancers was significantly lower than that (2.93 ± 0.26) of pulmonary abscesses (p = 0.011). When the optical cutoff value of T2 CR was set as 2.44, the sensitivity was 0.827 (43/52), the specificity 0.596 (28/47), the accuracy 0.717 (71/99), the positive predictive value 0.694 (43/62), and the negative predictive value 0.757 (28/37). T2 CR of T2WI is useful in discriminating lung cancer from BPNMs. Pulmonary abscesses, which show strong restricted diffusion in DWI, can be differentiated from lung cancers using T2WI.
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Yamada A, Araki Y, Tanaka Y, Otsuki S, Yamada A, Moriyama M, Katagiri S, Suguro T, Asano M, Yoshizawa S, Akahane D, Furuya N, Fujimoto H, Okabe S, Gotoh M, Suzuki K, Saito K, Gotoh A. Relevance of diffusion-weighted imaging with background body signal suppression for staging, prognosis, morphology, treatment response, and apparent diffusion coefficient in plasma-cell neoplasms: A single-center, retrospective study. PLoS One 2021; 16:e0253025. [PMID: 34242226 PMCID: PMC8270139 DOI: 10.1371/journal.pone.0253025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022] Open
Abstract
Accurate staging and evaluation of therapeutic effects are important in managing plasma-cell neoplasms. Diffusion-weighted imaging with body signal suppression magnetic resonance imaging (DWIBS-MRI) allows for acquisition of whole-body volumetric data without radiation exposure. This study aimed to investigate the usefulness of DWIBS-MRI in plasma-cell neoplasms. We retrospectively analyzed 29 and 8 Japanese patients with multiple myeloma and monoclonal gammopathy of undetermined significance, respectively, who underwent DWIBS-MRI. We conducted a histogram analysis of apparent diffusion coefficient values. The correlations between each histogram parameter and staging, cell maturation, prognosis, and treatment response were evaluated. We found that the apparent diffusion coefficient values in patients with monoclonal gammopathy of undetermined significance were lower than those in patients with multiple myeloma. Pretreatment apparent diffusion coefficient values of immature myeloma were lower than those of mature myeloma. Moreover, these values decreased in proportion to stage progression in Durie-Salmon classification system but showed no significant correlation with other staging systems or prognosis. Patients were stratified as responder, stable, and non-responder based on the International Myeloma Working Group criteria. The magnitude of changes in apparent diffusion coefficients differed significantly between responders and non-responders (0.154 ± 0.386 ×10-3 mm2/s vs. -0.307 ± 0.424 ×10-3 mm2/s, p = 0.003). Although its usefulness has yet to be established, DWIBS-MRI combined with apparent diffusion coefficient measurement allowed for excellent response evaluation in patients with multiple myeloma. Furthermore, apparent diffusion coefficient analysis using DWIBS-MRI may be useful in predicting cell maturation and total tumor volume.
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Affiliation(s)
- Akiko Yamada
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Yoichi Araki
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Yuko Tanaka
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Shunsuke Otsuki
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Arisa Yamada
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Mitsuru Moriyama
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | | | - Tamiko Suguro
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Michiyo Asano
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | | | - Daigo Akahane
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Nahoko Furuya
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Hiroaki Fujimoto
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Seiichi Okabe
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Moritaka Gotoh
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Kunihito Suzuki
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Kazuhiro Saito
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Akihiko Gotoh
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
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Usuda K, Iwai S, Yamagata A, Iijima Y, Motono N, Doai M, Matoba M, Hirata K, Uramoto H. How to Discriminate Lung Cancer From Benign Pulmonary Nodules and Masses? Usefulness of Diffusion-Weighted Magnetic Resonance Imaging With Apparent Diffusion Coefficient and Inside/Wall Apparent Diffusion Coefficient Ratio. CLINICAL MEDICINE INSIGHTS-ONCOLOGY 2021; 15:11795549211014863. [PMID: 34285624 PMCID: PMC8267030 DOI: 10.1177/11795549211014863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 04/12/2021] [Indexed: 11/16/2022]
Abstract
Background: Although diffusion-weighted imaging (DWI) is useful for differential diagnosis between lung cancers and benign pulmonary nodules and masses (BPNMs), it is difficult to differentiate pulmonary abscesses from lung cancers because pulmonary abscesses show restricted diffusion. With this research we will present how to assess the total apparent diffusion coefficient (ADC) and inside/wall ADC ratio for these pulmonary nodules and masses (PNMs). Methods: The pulmonary lesions were divided into next 3 groups. There were 40 lung cancers, 41 inflammatory benign PNMs (mycobacteria disease 13, pneumonia 12, pulmonary abscess 10, other 6) and 7 noninflammatory benign PNMs. Definitions were as follows: wall ADC = ADC value in outer one-third of the lesion; inside ADC = ADC value in central two-thirds of the lesion: inside/wall ADC ratio = ratio of inside ADC/wall ADC. Results: Mean total ADC (1.26 ± 0.32 × 10−3 mm2/s) of the lung cancers was remarkably lower than that (1.53 ± 0.53) of the BPNMs. The mean total ADC values were 1.26 ± 0.32 in lung cancer, 1.45 ± 0.47 in inflammatory BPNM and 2.04 ± 0.63 in noninflammatory BPNM, and there were significant differences among them. The mean inside ADC value (1.33 ± 0.32) of the lung cancers was remarkably higher than that (0.94 ± 0.42) of the pulmonary abscesses. The mean inside/wall ADC ratio (1.20 ± 0.28) of the lung cancers was remarkably higher than that (0.74 ± 0.14) of the pulmonary abscesses. Conclusions: Although ADC of DWI could differentiate lung cancer from BPNM, the inside/wall ADC ratio of DWI is efficient for differentiation between lung cancer and lung abscess. The inside/wall ADC ratio of DWI strengthens a weak point of DWI.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Japan
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Japan
| | - Aika Yamagata
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Japan
| | - Yoshihito Iijima
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Japan
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Japan
| | - Mariko Doai
- Department of Radiology, Kanazawa Medical University, Uchinada, Japan
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Uchinada, Japan
| | - Keiya Hirata
- MRI Center, General Hospital, Kanazawa Medical University, Uchinada, Japan
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Japan
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Whole-Lesion Apparent Diffusion Coefficient Histogram Analysis: Significance for Discriminating Lung Cancer from Pulmonary Abscess and Mycobacterial Infection. Cancers (Basel) 2021; 13:cancers13112720. [PMID: 34072867 PMCID: PMC8198705 DOI: 10.3390/cancers13112720] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/01/2021] [Accepted: 05/28/2021] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Diffusion-weighted magnetic resonance imaging (DWI) can differentiate malignant from benign pulmonary nodules and masses. However, it is difficult to differentiate pulmonary abscesses and mycobacterium infections (PAMIs) from lung cancers because PAMIs show restricted diffusion in DWI. The purpose of this study was to establish the role of ADC histogram for differentiating lung cancer from PAMI. There were 41 lung cancers and 19 PAMIs. Parameters more than 60% of AUC were ADC, maximal ADC, mean ADC, median ADC, most frequency ADC, kurtosis of ADC, and volume of lesion. There were significant differences between lung cancer and PAMI in ADC, mean ADC, median ADC, and most frequency ADC. ADC histogram has the potential to be a valuable tool to differentiate PAMI from lung cancer. Abstract Diffusion-weighted magnetic resonance imaging (DWI) can differentiate malignant from benign pulmonary nodules. However, it is difficult to differentiate pulmonary abscesses and mycobacterial infections (PAMIs) from lung cancers because PAMIs show restricted diffusion in DWI. The study purpose is to establish the role of ADC histogram for differentiating lung cancer from PAMI. There were 41 lung cancers (25 adenocarcinomas, 16 squamous cell carcinomas), and 19 PAMIs (9 pulmonary abscesses, 10 mycobacterial infections). Parameters more than 60% of the area under the ROC curve (AUC) were ADC, maximal ADC, mean ADC, median ADC, most frequency ADC, kurtosis of ADC, and volume of lesion. There were significant differences between lung cancer and PAMI in ADC, mean ADC, median ADC, and most frequency ADC. The ADC (1.19 ± 0.29 × 10−3 mm2/s) of lung cancer obtained from a single slice was significantly lower than that (1.44 ± 0.54) of PAMI (p = 0.0262). In contrast, mean, median, or most frequency ADC of lung cancer which was obtained in the ADC histogram was significantly higher than the value of each parameter of PAMI. ADC histogram could discriminate PAMIs from lung cancers by showing that AUCs of several parameters were more than 60%, and that several parameters of ADC of PAMI were significantly lower than those of lung cancer. ADC histogram has the potential to be a valuable tool to differentiate PAMI from lung cancer.
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Imaging characteristics of nontuberculous mycobacterial pulmonary nodules. ACTA ACUST UNITED AC 2021; 59:369-374. [PMID: 33946136 DOI: 10.2478/rjim-2021-0016] [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: 02/11/2021] [Indexed: 11/20/2022]
Abstract
Introduction: Nontuberculous mycobacteriosis (NTM) of the lungs can develop nodules. In order to clarify some of the characteristics of lung NTM nodules, we examined volume doubling time (VDT) and maximum standardized uptake value (SUVmax) in positron emission tomography (PET) of pathologically diagnosed NTM nodules.Methods: From November 2012 to August 2018, clinical and radiological information were retrospectively investigated in 8 patients who were surgically resected and diagnosed as NTM. These eight patients were followed up until November 2020 and were confirmed to have no appearance of lung cancer or reappearance of lung NTM nodules. The VDT was calculated using the Schwartz formula.Results: The median maximum diameter of the nodule at the time of the first CT scan was 16.0 (range: 9.9-20.0) mm. The median maximum diameter of the nodule on CT performed before the surgical biopsy was 18.8 (range: 10.4-32.8) mm. The median doubling time calculated from these results was 203 (range: 20-568) days. Caseous granulomas and acid-fast bacilli were histologically confirmed in all 8 patients. Culture of excised nodules revealed Mycobacterium intracellulare in 5 patients and Mycobacterium avium in 3 patients. Six patients received PET, and median SUVmax was: 7.0 (range: 3.3-21.0). Median VDT was around 200 days. Some patients had irregular-shaped nodules.Conclusions: CT/PET-CT characteristics of lung nodules are not reliable in differentiating lung NTM nodules from malignant ones. To avoid unnecessary resection, it may be better to collect various information on imaging findings in the nodule itself and in opacities other than the nodule.
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Tanaka Y, Ohno Y, Hanamatsu S, Obama Y, Ueda T, Ikeda H, Iwase A, Fukuba T, Hattori H, Murayama K, Yoshikawa T, Takenaka D, Koyama H, Toyama H. State-of-the-art MR Imaging for Thoracic Diseases. Magn Reson Med Sci 2021; 21:212-234. [PMID: 33952785 PMCID: PMC9199970 DOI: 10.2463/mrms.rev.2020-0184] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Since thoracic MR imaging was first used in a clinical setting, it has been suggested that MR imaging has limited clinical utility for thoracic diseases, especially lung diseases, in comparison with x-ray CT and positron emission tomography (PET)/CT. However, in many countries and states and for specific indications, MR imaging has recently become practicable. In addition, recently developed pulmonary MR imaging with ultra-short TE (UTE) and zero TE (ZTE) has enhanced the utility of MR imaging for thoracic diseases in routine clinical practice. Furthermore, MR imaging has been introduced as being capable of assessing pulmonary function. It should be borne in mind, however, that these applications have so far been academically and clinically used only for healthy volunteers, but not for patients with various pulmonary diseases in Japan or other countries. In 2020, the Fleischner Society published a new report, which provides consensus expert opinions regarding appropriate clinical indications of pulmonary MR imaging for not only oncologic but also pulmonary diseases. This review article presents a brief history of MR imaging for thoracic diseases regarding its technical aspects and major clinical indications in Japan 1) in terms of what is currently available, 2) promising but requiring further validation or evaluation, and 3) developments warranting research investigations in preclinical or patient studies. State-of-the-art MR imaging can non-invasively visualize lung structural and functional abnormalities without ionizing radiation and thus provide an alternative to CT. MR imaging is considered as a tool for providing unique information. Moreover, prospective, randomized, and multi-center trials should be conducted to directly compare MR imaging with conventional methods to determine whether the former has equal or superior clinical relevance. The results of these trials together with continued improvements are expected to update or modify recommendations for the use of MRI in near future.
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Affiliation(s)
- Yumi Tanaka
- Department of Radiology, Fujita Health University School of Medicine
| | - Yoshiharu Ohno
- Department of Radiology, Fujita Health University School of Medicine.,Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine
| | - Satomu Hanamatsu
- Department of Radiology, Fujita Health University School of Medicine
| | - Yuki Obama
- Department of Radiology, Fujita Health University School of Medicine
| | - Takahiro Ueda
- Department of Radiology, Fujita Health University School of Medicine
| | - Hirotaka Ikeda
- Department of Radiology, Fujita Health University School of Medicine
| | - Akiyoshi Iwase
- Department of Radiology, Fujita Health University Hospital
| | - Takashi Fukuba
- Department of Radiology, Fujita Health University Hospital
| | - Hidekazu Hattori
- Department of Radiology, Fujita Health University School of Medicine
| | - Kazuhiro Murayama
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine
| | | | | | | | - Hiroshi Toyama
- Department of Radiology, Fujita Health University School of Medicine
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13
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Usuda K, Ishikawa M, Iwai S, Iijima Y, Motono N, Matoba M, Doai M, Hirata K, Uramoto H. Combination Assessment of Diffusion-Weighted Imaging and T2-Weighted Imaging Is Acceptable for the Differential Diagnosis of Lung Cancer from Benign Pulmonary Nodules and Masses. Cancers (Basel) 2021; 13:cancers13071551. [PMID: 33800560 PMCID: PMC8037373 DOI: 10.3390/cancers13071551] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/23/2021] [Accepted: 03/25/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary The purpose of this study is to determine whether the combination assessment of DWI and T2WI improves the diagnostic ability for differential diagnosis of lung cancer from benign pulmonary nodules and masses (BPNMs). As using the OCV (1.470 × 10−3 mm2/s) for ADC, the sensitivity was 83.9% (220/262), the specificity 63.4% (33/52), and the accuracy 80.6% (253/314). As using the OCV (2.45) for T2 CR, the sensitivity was 89.7% (235/262), the specificity 61.5% (32/52), and the accuracy 85.0% (267/314). In 212 PNMs which were judged to be malignant by both DWI and T2WI, 203 PNMs (95.8%) were lung cancers. In 33 PNMs which were judged to be benign by both DWI and T2WI, 23 PNMs (69.7%) were BPNMs. The combined assessment of DWI and T2WI could judge PNMs more precisely and would be acceptable for differential diagnosis of PNMs. Abstract The purpose of this study is to determine whether the combination assessment of DWI and T2-weighted imaging (T2WI) improves the diagnostic ability for differential diagnosis of lung cancer from benign pulmonary nodules and masses (BPNMs). The optimal cut-off value (OCV) for differential diagnosis was set at 1.470 × 10−3 mm2/s for apparent diffusion coefficient (ADC), and at 2.45 for T2 contrast ratio (T2 CR). The ADC (1.24 ± 0.29 × 10−3 mm2/s) of lung cancer was significantly lower than that (1.69 ± 0.58 × 10−3 mm2/s) of BPNM. The T2 CR (2.01 ± 0.52) of lung cancer was significantly lower than that (2.74 ± 1.02) of BPNM. As using the OCV for ADC, the sensitivity was 83.9% (220/262), the specificity 63.4% (33/52), and the accuracy 80.6% (253/314). As using the OCV for T2 CR, the sensitivity was 89.7% (235/262), the specificity 61.5% (32/52), and the accuracy 85.0% (267/314). In 212 PNMs which were judged to be malignant by both DWI and T2WI, 203 PNMs (95.8%) were lung cancers. In 33 PNMs which were judged to be benign by both DWI and T2WI, 23 PNMs (69.7%) were BPNMs. The combined assessment of DWI and T2WI could judge PNMs more precisely and would be acceptable for differential diagnosis of PNMs.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (Y.I.); (N.M.); (H.U.)
- Correspondence: ; Tel.: +81-76-286-2211; Fax: +81-76-286-1207
| | - Masahito Ishikawa
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (Y.I.); (N.M.); (H.U.)
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (Y.I.); (N.M.); (H.U.)
| | - Yoshihito Iijima
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (Y.I.); (N.M.); (H.U.)
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (Y.I.); (N.M.); (H.U.)
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.M.); (M.D.)
| | - Mariko Doai
- Department of Radiology, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.M.); (M.D.)
| | - Keiya Hirata
- MRI Center, Kanazawa Medical University Hospital, Ishikawa 920-0293, Japan;
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Ishikawa 920-0293, Japan; (M.I.); (S.I.); (Y.I.); (N.M.); (H.U.)
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Usuda K, Iwai S, Yamagata A, Iijima Y, Motono N, Matoba M, Doai M, Yamada S, Ueda Y, Hirata K, Uramoto H. Diffusion-weighted whole-body imaging with background suppression (DWIBS) is effective and economical for detection of metastasis or recurrence of lung cancer. Thorac Cancer 2021; 12:676-684. [PMID: 33476488 PMCID: PMC7919163 DOI: 10.1111/1759-7714.13820] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/16/2020] [Accepted: 12/16/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Diffusion-weighted whole-body imaging with background suppression (DWIBS) is used for the diagnosis and staging of cancers. The medical cost of an MR examination including DWIBS is $123, which is 80% less expensive than the cost ($798) of F18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) examination. METHODS This study examined the efficacy of DWIBS for relapses after lung cancer resection. A total of 55 patients who had pulmonary resection of lung cancer, postoperative computed tomography (CT) every six months, and DWIBS and FDG-PET/CT (every year) were enrolled in this study. If a metastatic lesion was detected on CT scan, DWIBS and FDG-PET/CT were also used. RESULTS A total of 55 patients who underwent pulmonary resections for lung cancer, and had CT, DWIBS and FDG-PET/CT examination during follow-up after pulmonary resection were enrolled in this study. Lung cancer in 32 patients relapsed. Postoperative radiographic examinations revealed pulmonary metastases in 17 patients, bone metastases in seven, liver metastases in five, lymph node metastases in five, pleural metastases in four, metastases to the chest wall in two, brain metastases in two, adrenal gland metastasis in one, and renal metastasis in one. The mean apparent diffusion coefficient (ADC) value of the relapse was 0.9 to 1.70 × 10-3 mm2 /s. The accuracy 0.98 (54/55) of DWIBS for detecting multiple metastatic lesions was likely to be higher than 0.94 (52/55) of CT or 0.94 (52/55) of FDG-PET/CT, but there were no significant differences. CONCLUSIONS DWIBS can detect multiple metastatic lesions throughout the entire body and differentiate malignancy from benignity in only one examination. DWIBS has benefits of diagnostic accuracy and is less expensive in medical costs for the detection of a relapse. DWIBS could potentially replace FDG-PET/CT after lung cancer resection.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Aika Yamagata
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Yoshihito Iijima
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Kahoku-gun, Japan
| | - Mariko Doai
- Department of Radiology, Kanazawa Medical University, Kahoku-gun, Japan
| | - Sohsuke Yamada
- Department of Pathology and Laboratory Medicine, Kanazawa Medical University, Kahoku-gun, Japan
| | - Yoshimichi Ueda
- Department of Pathophysiological and Experimental Pathology, Kanazawa Medical University, Kahoku-gun, Japan
| | - Keiya Hirata
- MRI Center, Kanazawa Medical University, Kahoku-gun, Japan
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
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Usuda K, Iwai S, Yamagata A, Iijima Y, Motono N, Matoba M, Doai M, Yamada S, Ueda Y, Hirata K, Uramoto H. Differentiation between suture recurrence and suture granuloma after pulmonary resection for lung cancer by diffusion-weighted magnetic resonance imaging or FDG-PET / CT. Transl Oncol 2020; 14:100992. [PMID: 33338879 PMCID: PMC7749404 DOI: 10.1016/j.tranon.2020.100992] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 12/05/2020] [Accepted: 12/07/2020] [Indexed: 12/28/2022] Open
Abstract
There has been no publication which supports the usefulness of DWI differentiating for suture recurrence and suture granuloma after resection for lung cancer. We presented efficacy of DWI or FDG-PET/CT for an assessment of suture lesions after resection for lung cancer. Thirteen suture recurrences and 15 suture granulomas were examined. There were 24 adenocarcinomas and 4 squamous cell carcinomas, and 26 partial resections and 2 segmentectomies. The period of time (907±907 days) between surgery and suture recurrence was not significantly longer than that (546±547 days) between surgery and suture granuloma. Diffusion detectability scores (a 5-point scale) of suture recurrences was significantly higher than that of suture granulomas. The ADC value (1.35±0.24 × 10-3mm2/sec) of suture recurrences was significantly lower than that (1.85±0.60 × 10-3mm2/sec) of suture granulomas. The SUVmax (6.1 ± 5.0) of suture recurrences was not significantly higher than that (4.2 ± 2.5) of suture granulmas. The sensitivity of 85% (11/13) with DWI was not significantly higher than 69% (9/13) with FDG-PET/CT for suture recurrences. The specificity of 73% (11/15) with DWI was not significantly higher than the 60% (9/15) with FDG-PET/CT for suture granulomas. The accuracy of 79% (22/28) with DWI was not significantly higher than that of 64% (18/28) with FDG-PET/CT for suture recurrences and granulomas. DWI can differentiate suture granuloma from suture recurrence after resection of lung cancer. DWI is more useful than FDG-PET/CT for the differentiation between suture recurrence and suture granuloma after resection for lung cancer.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan.
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Aika Yamagata
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Yoshihito Iijima
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Mariko Doai
- Department of Radiology, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Sohsuke Yamada
- Department of Pathology and Laboratory Medicine, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Yoshimichi Ueda
- Department of Pathophysiological and Experimental Pathology, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
| | - Keiya Hirata
- MRI Center, Kanazawa Medical University Hospital, Uchinada, Ishikawa, 920-0293 Japan
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Uchinada, Ishikawa, 920-0293 Japan
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16
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Wu Q, Zhong L, Xie X. The value of four imaging modalities to distinguish malignant from benign solitary pulmonary nodules: a study based on 73 cohorts incorporating 7956 individuals. Clin Transl Oncol 2020; 23:296-310. [PMID: 32548796 DOI: 10.1007/s12094-020-02418-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/02/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Solitary pulmonary nodules (SPNs) frequently bother oncologists. The differentiation of malignant from benign nodules with non-invasive approach remains a tough challenge. This study was designed to assess the diagnostic accuracy of dynamic computed tomography (CT), dynamic magnetic resonance imaging (MRI), fluorine 18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET), and technetium 99 m (99mTc) depreotide single photon emission computed tomography (SPECT) for SPNs. METHODS Electronic databases of MEDLINE, PubMed, EMBASE, and Cochrane Library were searched to identify relevant trials. The primary evaluation index of diagnostic accuracy was areas under the summary receiver-operating characteristic (SROC) curve. The results were analyzed utilizing Stata 12.0 statistical software. RESULTS Seventy-three trials incorporating 7956 individuals were recruited. Sensitivities, specificities, positive likelihood ratios, negative likelihood ratios, diagnostic score, diagnostic odds ratios, and areas under the SROC curve with 95% confidence intervals were, respectively, 0.92 (0.89-0.95), 0.64 (0.54-0.74), 2.60 (1.98-3.42), 0.12 (0.08-0.17), 3.10 (2.62-3.59), 22.24 (13.67-36.17), and 0.91 (0.88-0.93) for CT; 0.92 (0.86-0.95), 0.85 (0.77-0.90), 6.01 (3.90-9.24), 0.10 (0.06-0.17), 4.12 (3.41-4.82), 61.39 (30.41-123.93), and 0.94 (0.92-0.96) for MRI; 0.90 (0.86-0.93), 0.73 (0.65-0.79), 3.28 (2.56-4.20), 0.14 (0.10-0.19), 3.16 (2.69-3.64), 23.68 (14.74-38.05), and 0.90 (0.87-0.92) for 18F-FDG PET; and 0.93 (0.88-0.96), 0.70 (0.56-0.81), 3.12 (2.03-4.81), 0.10 (0.06-0.17), 3.43 (2.63-4.22), 30.74 (13.84-68.27), and 0.93 (0.91-0.95) for 99mTc-depreotide SPECT. CONCLUSION The dynamic MRI, dynamic CT, 18F-FDG PET, and 99mTc-depreotide SPECT were favorable non-invasive approaches to distinguish malignant SPNs from benign. Moreover, from the viewpoint of cost-effectiveness and avoiding radiation, the dynamic MRI was recommendable for SPNs.
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Affiliation(s)
- Q Wu
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Chazhong Road No 20, Fuzhou, 350005, Fujian, China
| | - L Zhong
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Chazhong Road No 20, Fuzhou, 350005, Fujian, China.,Department of Medical Oncology, The Second Hospital of Longyan, Fujian, 364000, China
| | - X Xie
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Chazhong Road No 20, Fuzhou, 350005, Fujian, China.
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Jiang J, Fu Y, Hu X, Cui L, Hong Q, Gu X, Yin J, Cai R, Xu G. The value of diffusion-weighted imaging based on monoexponential and biexponential models for the diagnosis of benign and malignant lung nodules and masses. Br J Radiol 2020; 93:20190400. [PMID: 32163295 PMCID: PMC10993207 DOI: 10.1259/bjr.20190400] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 02/29/2020] [Accepted: 03/09/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES The objective is to compare the efficacy of diffusion-weighted imaging (DWI) parameters of mean and minimum apparent diffusion coefficient (ADCmean and ADCmin) and intravoxel incoherent motion (IVIM) in the differentiation of benign and malignant lung nodules and masses. METHODS Lung lesions measured larger than 1.5 cm on CT were included between August 2015 and September 2018. DWI (10 b-values, 0-1000 s/mm2) scans were performed, and the data were post-processed to derive the ADCmean, ADCmin and IVIM parameters of true diffusion coefficient (D), pseudodiffusion coefficient (D*) and perfusion fraction (f). An independent sample t-test or Mann-Whitney U test was used to compare benign and malignant parameters. Receiver operating characteristic curves were generated and a Z test was used. RESULTS 121 patients were finally enrolled, each with one lesion. Examined 121 lesions were malignant in 88 (72.7%) and benign in 33 (27.3%). The ADCmean of malignant pulmonary nodules was significantly lower than that of benign pulmonary nodules (t = 3.156, p = 0.006), whereas the other parameters revealed no significant differences (p = 0.162-0.690). Receiver operating characteristic curve analysis revealed that an ADCmean threshold value of 1.43 × 10-3 mm2/s yielded 88.57% sensitivity and 64.29% specificity. While for lung masses, the ADCmean, ADCmin, D and D* values in malignant pulmonary masses were significantly lower (P﹤0.001-0.011). Among them, the D value exhibited the best diagnostic performance when the threshold of D was 1.23 × 10-3mm2/s, which yielded a sensitivity of 90.57% and a specificity of 89.47% (Z = 2.230, 3.958, 2.877 and p = 0.026, ﹤0.001 and 0.004, respectively). CONCLUSION ADC is the most robust parameter to differentiate benign and malignant lung nodules, whereas D is the most robust parameter to differentiate benign and malignant lung masses. ADVANCES IN KNOWLEDGE This is the first study to compare all the quantitative parameters of DWI and IVIM mentioned in the literatures for assessing lung lesions; Second, we divided the lesions into lung nodules and lung masses with the size of 3 cm as the boundary.
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Affiliation(s)
- Jianqin Jiang
- Department of Radiology, Yancheng City No.1 People's
Hospital, Yancheng,
China
| | - Yigang Fu
- Department of Radiology, Yancheng City No.1 People's
Hospital, Yancheng,
China
| | - Xiaoyun Hu
- Department of Radiology, Wuxi People's Hospital,
Wuxi, China
| | - Lei Cui
- Department of Radiology, Second Affiliated Hospital of Nantong
University, Nantong,
China
| | - Qin Hong
- Department of Radiology, Yancheng City No.1 People's
Hospital, Yancheng,
China
| | - Xiaowen Gu
- Department of Radiology, Suzhou Municipal
Hospital, Suzhou,
China
| | - Jianbing Yin
- Department of Radiology, Second Affiliated Hospital of Nantong
University, Nantong,
China
| | - Rongfang Cai
- Department of Radiology, Second Affiliated Hospital of Nantong
University, Nantong,
China
| | - Gaofeng Xu
- Department of Radiology, Yancheng City No.1 People's
Hospital, Yancheng,
China
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18
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Relationships and Qualitative Evaluation Between Diffusion-Weighted Imaging and Pathologic Findings of Resected Lung Cancers. Cancers (Basel) 2020; 12:cancers12051194. [PMID: 32397172 PMCID: PMC7281509 DOI: 10.3390/cancers12051194] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 05/01/2020] [Accepted: 05/06/2020] [Indexed: 12/14/2022] Open
Abstract
For detecting malignant tumors, diffusion-weighted magnetic resonance imaging (DWI) as well as fluoro-2-deoxy-glucose positron emission tomography/computed tomography (FDG-PET/CT) are available. It is not definitive how DWI correlates the pathological findings of lung cancer. The aim of this study is to evaluate the relationships between DWI findings and pathologic findings. In this study, 226 patients with resected lung cancers were enrolled. DWI was performed on each patient before surgery. There were 167 patients with adenocarcinoma, 44 patients with squamous cell carcinoma, and 15 patients with other cell types. Relationships between the apparent diffusion coefficient (ADC) of DWI and the pathology were analyzed. When the optimal cutoff value (OCV) of ADC for diagnosing malignancy was 1.70 × 10−3 mm2/s, the sensitivity of DWI was 92.0% (208/226). The sensitivity was 33.3% (3/9) in mucinous adenocarcinoma. The ADC value (1.31 ± 0.32 × 10−3 mm2/s) of adenocarcinoma was significantly higher than that (1.17 ± 0.29 × 10−3 mm2/s) of squamous cell carcinoma (p = 0.012), or (0.93 ± 0.14 × 10−3 mm2/s) of small cell carcinoma (p = 0.0095). The ADC value (1.91 ± 0.36 × 10−3 mm2/s) of mucinous adenocarcinoma was significantly higher than that (1.25 ± 0.25 × 10−3 mm2/s) of adenocarcinoma with mucin and that (1.24 ± 0.30 × 10−3 mm2/s) of other cell types. The ADC (1.11 ± 0.26 × 10−3 mm2/s) of lung cancer with necrosis was significantly lower than that (1.32 ± 0.33 × 10−3 mm2/s) of lung cancer without necrosis. The ADC of mucinous adenocarcinoma was significantly higher than those of adenocarcinoma of other cell types. The ADC of lung cancer was likely to decrease according to cell differentiation decreasing. The sensitivity of DWI for lung cancer was 92% and this result shows that DWI is valuable for the evaluation of lung cancer. Lung cancer could be evaluated qualitatively using DWI.
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19
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Zhang S, Gu X, Liu J, Kumar Ps S, Fang X, Yin J, Jiang J, Qian C, Hu X, Cui L. A primary analysis on measuring repeatability of the maximum diameter between CT and MR imaging for lung cancers. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2020; 28:333-344. [PMID: 32083610 DOI: 10.3233/xst-190613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To investigate the measurement reproducibility of the maximum diameter on MRI routine sequence (T1WI, T2WI, DWI) and CT in peripheral and central lung cancer, and to provide reference standard for evaluating treatment responses for lung cancer. METHODS 53 patients with lung cancer underwent CT and 3.0T MR scanning. The maximum diameter was measured according to the RECIST1.1 standard on images of CT (lung and enhanced mediastinal window), MRI T2-BLADE, axial T1-VIBE and DWIb0, DWIb300, DWIb800, respectively. The reproducibility of the diameters was analyzed with intraclass correlation coefficient (ICC), and the distribution of measurement points with the Bland-Altman method. The difference analysis was assessed by paired samples t-test and nonparametric rank sum test, P < 0.05 is considered statistically significant. RESULTS Reproducibility of diameters derived from routine MRI and CT was good (ICC > 0.75). For peripheral lung cancer, there was no significant difference in diameters between CT and MRI. While for central lung cancer, there was significant difference in diameters measured between using CT and each MRI sequence. However, the diameters derived from T1-VIBE and T2-BLADE were not significantly different from all DWI sequences. CONCLUSIONS For peripheral lung cancer, the measurement on CT and routine MRI sequences can potentially replace each other after comprehensive consideration of examination purposes, but for central lung cancer, alternative use of CT and MRI in evaluating treatment responses for lung cancer should needs extra attention. The diameter measurement of lung cancer on DWI is consistent with that on T1WI and T2WI, suggesting that DWI can provide functional and morphological information.
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Affiliation(s)
- Shuqing Zhang
- The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Xiaowen Gu
- Suzhou Municipal Hospital, Suzhou, Jiangsu Province, China
| | - Jia Liu
- The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Sanjeev Kumar Ps
- Department of Medical Imaging, Parexel International Corporation, Billerica, Massachusetts 01821, USA
| | - Xiangming Fang
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu Province, China
| | - Jianbing Yin
- The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Jianqin Jiang
- Yancheng City No.1 People's Hospital, Tinghu District, Yancheng, Jiangsu, China
| | - Cheng Qian
- The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Xiaoyun Hu
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu Province, China
| | - Lei Cui
- The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
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Diffusion-Weighted Imaging Can Differentiate between Malignant and Benign Pleural Diseases. Cancers (Basel) 2019; 11:cancers11060811. [PMID: 31212757 PMCID: PMC6627409 DOI: 10.3390/cancers11060811] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/01/2019] [Accepted: 06/03/2019] [Indexed: 12/12/2022] Open
Abstract
It is not clear whether magnetic resonance imaging (MRI) is useful for the assessment of pleural diseases. The aim of this study is to determine whether diffusion-weighted magnetic resonance imaging (DWI) can differentiate malignant pleural mesothelioma (MPM) from pleural dissemination of lung cancer, empyema or pleural effusion. The DWI was calibrated with the b value of 0 and 800 s/mm2. There were 11 MPMs (8 epithelioid and 3 biphasic), 10 pleural disseminations of lung cancer, 10 empyemas, and 12 pleural effusions. The apparent diffusion coefficient (ADC) of the pleural diseases was 1.22 ± 0.25 × 10−3 mm2/s in the MPMs, 1.31 ± 0.49 × 10−3 mm2/s in the pleural disseminations, 2.01 ± 0.45 × 10−3 mm2/s in the empyemas and 3.76 ± 0.62 × 10−3 mm2/s in the pleural effusions. The ADC of the MPMs and the pleural disseminations were significantly lower than the ADC of the empyemas and the pleural effusions. Concerning the diffusion pattern of DWI, all 11 MPMs showed strong continuous diffusion, 9 of 10 pleural disseminations showed strong scattered diffusion and 1 pleural dissemination showed strong continuous diffusion, all 10 empyemas showed weak continuous diffusion, and all 12 pleural effusions showed no decreased diffusion. DWI can evaluate pleural diseases morphologically and qualitatively, and thus differentiate between malignant and benign pleural diseases.
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Diffusion-weighted magnetic resonance imaging is useful for the response evaluation of chemotherapy and/or radiotherapy to recurrent lesions of lung cancer. Transl Oncol 2019; 12:699-704. [PMID: 30856554 PMCID: PMC6411607 DOI: 10.1016/j.tranon.2019.02.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 02/12/2019] [Accepted: 02/14/2019] [Indexed: 12/18/2022] Open
Abstract
Diffusion-weighted magnetic resonance imaging (DWI) has been reported to be useful for the assessment of lung cancer staging. It is uncertain whether DWI is more accurate for the response evaluation of chemotherapy and/or radiotherapy compared to computed tomography (CT). The purpose of this study is to compare the response evaluation of DWI for chemotherapy and/or radiotherapy to recurrent tumors of lung cancer with that of CT which is a standard tool in RECIST (Response Evaluation Criteria in Solid Tumours). Forty-one patients who agreed to this project and had CT scan and DWI examinations within a month of each other every six months for at least 2 years after pulmonary resection of primary lung cancer were enrolled in this study. Of the patients, 24 patients had metastases or recurrences, and CT and DWI were performed for assessment of the response evaluation of chemotherapy and/or radiotherapy to recurrent lesions. They were followed up for at least two years after the relapse. The response evaluation by CT using RECIST were PR in five patients, SD in two, and PD in the remaining 17 patients. On the other hand, the response evaluation by DWI were CR in four patients, PR in two patients, SD in one, and PD in the remaining 17 patients. Follow-up studies revealed the response evaluation by DWI were correct. Functional evaluation of DWI is better than that of CT for the response evaluation of chemotherapy and/or radiotherapy to recurrent tumors of lung cancer.
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Koo CW, Lu A, Takahashi EA, Simmons CL, Geske JR, Wigle D, Peikert T. Can MRI contribute to pulmonary nodule analysis? J Magn Reson Imaging 2018; 49:e256-e264. [PMID: 30575193 DOI: 10.1002/jmri.26587] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 11/07/2018] [Accepted: 11/08/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND There is no accurate method distinguishing different types of pulmonary nodules. PURPOSE To investigate whether multiparametric 3T MRI biomarkers can distinguish malignant from benign pulmonary nodules, differentiate different types of neoplasms, and compare MRI-derived measurements with values from commonly used noninvasive imaging modalities. STUDY TYPE Prospective. SUBJECTS Sixty-eight adults with pulmonary nodules undergoing resection. SEQUENCES Respiratory triggered diffusion-weighted imaging (DWI), periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) fat saturated T2 -weighted imaging, T1 -weighted 3D volumetric interpolated breath-hold examination (VIBE) using CAIPIRINHA (controlled aliasing in parallel imaging results in a higher acceleration). ASSESSMENT/STATISTICS Apparent diffusion coefficient (ADC), T1 , T2 , T1 and T2 normalized to muscle (T1 /M and T2 /M), and dynamic contrast enhancement (DCE) values were compared with histology to determine whether they could distinguish malignant from benign nodules and discern primary from secondary malignancies using logistic regression. Predictability of primary neoplasm types was assessed using two-sample t-tests. MRI values were compared with positron emission tomography / computed tomography (PET/CT) to examine if they correlated with standardized uptake value (SUV) or CT Hounsfield unit (HU). Intra- and interreader agreements were assessed using intraclass correlations. RESULTS Forty-nine of 74 nodules were malignant. There was a significant association between ADC and malignancy (odds ratio 4.47, P < 0.05). ADC ≥1.3 μm2 /ms predicted malignancy. ADC, T1 , and T2 together predicted malignancy (P = 0.003). No MRI parameter distinguished primary from metastatic neoplasms. T2 predicted PET positivity (P = 0.016). T2 and T1 /M correlated with SUV (P < 0.05). Of 18 PET-negative malignant nodules, 12 (67%) had an ADC ≥1.3 μm2 /ms. With the exception of T2 , all noncontrast MRI parameters distinguished adenocarcinomas from carcinoid tumors (P < 0.05). T1 , T2 , T1 /M, and T2 /M correlated with HU and therefore can predict nodule density. Combined with ADC, washout enhancement, arrival time (AT), peak enhancement intensity (PEI), Ktrans , Kep , Ve collectively were predictive of malignancy (P = 0.012). Combined washin, washout, time to peak (TTP), AT, and PEI values predicted malignancy (P = 0.043). There was good observer agreement for most noncontrast MRI biomarkers. DATA CONCLUSION MRI can contribute to pulmonary nodule analysis. Multiparametric MRI might be better than individual MRI biomarkers in pulmonary nodule risk stratification. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Chi Wan Koo
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aiming Lu
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - Jennifer R Geske
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Dennis Wigle
- Department of Surgery, Division of Thoracic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Tobias Peikert
- Department of Medicine, Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, Minnesota, USA
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Basso Dias A, Zanon M, Altmayer S, Sartori Pacini G, Henz Concatto N, Watte G, Garcez A, Mohammed TL, Verma N, Medeiros T, Marchiori E, Irion K, Hochhegger B. Fluorine 18-FDG PET/CT and Diffusion-weighted MRI for Malignant versus Benign Pulmonary Lesions: A Meta-Analysis. Radiology 2018; 290:525-534. [PMID: 30480492 DOI: 10.1148/radiol.2018181159] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Purpose To perform a meta-analysis of the literature to compare the diagnostic performance of fluorine 18 fluorodeoxyglucose PET/CT and diffusion-weighted (DW) MRI in the differentiation of malignant and benign pulmonary nodules and masses. Materials and Methods Published English-language studies on the diagnostic accuracy of PET/CT and/or DW MRI in the characterization of pulmonary lesions were searched in relevant databases through December 2017. The primary focus was on studies in which joint DW MRI and PET/CT were performed in the entire study population, to reduce interstudy heterogeneity. For DW MRI, lesion-to-spinal cord signal intensity ratio and apparent diffusion coefficient were evaluated; for PET/CT, maximum standard uptake value was evaluated. The pooled sensitivities, specificities, diagnostic odds ratios, and areas under the receiver operating characteristic curve (AUCs) for PET/CT and DW MRI were determined along with 95% confidence intervals (CIs). Results Thirty-seven studies met the inclusion criteria, with a total of 4224 participants and 4463 lesions (3090 malignant lesions [69.2%]). In the primary analysis of joint DW MRI and PET/CT studies (n = 6), DW MRI had a pooled sensitivity and specificity of 83% (95% CI: 75%, 89%) and 91% (95% CI: 80%, 96%), respectively, compared with 78% (95% CI: 70%, 84%) (P = .01 vs DW MRI) and 81% (95% CI: 72%, 88%) (P = .056 vs DW MRI) for PET/CT. DW MRI yielded an AUC of 0.93 (95% CI: 0.90, 0.95), versus 0.86 (95% CI: 0.83, 0.89) for PET/CT (P = .001). The diagnostic odds ratio of DW MRI (50 [95% CI: 19, 132]) was superior to that of PET/CT (15 [95% CI: 7, 32]) (P = .006). Conclusion The diagnostic performance of diffusion-weighted MRI is comparable or superior to that of fluorine 18 fluorodeoxyglucose PET/CT in the differentiation of malignant and benign pulmonary lesions. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by Schiebler in this issue.
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Affiliation(s)
- Adriano Basso Dias
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Matheus Zanon
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Stephan Altmayer
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Gabriel Sartori Pacini
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Natália Henz Concatto
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Guilherme Watte
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Anderson Garcez
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Tan-Lucien Mohammed
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Nupur Verma
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Tássia Medeiros
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Edson Marchiori
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Klaus Irion
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
| | - Bruno Hochhegger
- From the Medical Imaging Research Laboratory, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av Independência 75, Porto Alegre, Brazil 90020160 (A.B.D., M.Z., S.A., G.S.P., G.W., B.H.); Department of Diagnostic Methods, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil (A.B.D., M.Z., S.A., G.S.P., B.H.); Department of Radiology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (N.H.C.); Post-graduate Program in Collective Health, University of Vale do Rio dos Sinos, São Leopoldo, Brazil (A.G.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (T.L.M., N.V.); Department of Radiology, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (T.M., B.H.); Department of Radiology, Federal University of Rio de Janeiro Medical School, Rio de Janeiro, Brazil (E.M.); and Department of Radiology, Central Manchester University Hospitals, NHS Foundation Trust-Trust Headquarters, Cobbett House, Manchester Royal Infirmary, Manchester, England (K.I.)
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Sasamori H, Uno K, Wu J. Usefulness of both PET/CT with F18-FDG and whole-body diffusion-weighted imaging in cancer screening: a preliminary report. Ann Nucl Med 2018; 33:78-85. [PMID: 30298377 DOI: 10.1007/s12149-018-1307-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 10/04/2018] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Positron emission tomography/computed tomography (PET/CT) with fluorodeoxyglucose (F18-FDG) is useful for the detection of malignant lesions, including metastatic lesions, and this technique is widely used in cancer screening. However, this approach may occasionally yield false-positive and false-negative findings. At our PET center, to increase the accuracy of PET/CT, we use PET/CT and whole-body diffusion-weighted imaging (WB-DWI) together. This study aimed to assess the usefulness of this combination. METHODS We examined 29 subjects with confirmed diagnosis. All of them had undergone PET/CT and WB-DWI on the same day. Twenty-seven of them also underwent ultrasonography, blood testing, and upper gastrointestinal series on the same day and two fecal occult blood tests on another day. WB-DWI was performed on a 1.5-T MRI unit with a b value of 0 and 800 or 1000 s/mm2. For all 29 cases, PET/CT and WB-DWI were classified to be positive or negative, and the diagnostic ability was calculated for each modality. RESULTS Among the 29 subjects, 17 had malignant tumors and 12 had benign tumors or no abnormalities. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of PET/CT were 65%, 25%, 55%, 33%, and 48%, respectively; while the corresponding values for WB-DWI were 59%, 100%, 100%, 63%, and 76%, respectively. By considering the result to be negative when PET/CT findings were positive but WB-DWI findings were negative, specificity increased from 25 to 100%, and accuracy increased from 48 to 76%. On the other hand, by considering the result to be positive when the findings of either PET/CT or WB-DWI were positive, sensitivity increased from 65 to 76%, and accuracy increased from 48 to 55%. CONCLUSIONS Our results suggest that using both PET/CT and WB-DWI together can increase accuracy in cancer screening. However, this approach was not able to detect malignant lesions in some cases, indicating that there were limitations with imaging certain organs. Therefore, it is important to further understand the features of PET/CT and WB-DWI and use them appropriately for each organ. Additionally, given that the study sample was relatively small, further research is needed to validate these findings.
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Affiliation(s)
- Hiroto Sasamori
- Gaien Higashi Clinic, 2F Yotuya Medical Building, 20 Samon-cho, Shinjuku-ku, Tokyo, Japan.
| | - Kimiichi Uno
- Gaien Higashi Clinic, 2F Yotuya Medical Building, 20 Samon-cho, Shinjuku-ku, Tokyo, Japan
| | - Jin Wu
- Gaien Higashi Clinic, 2F Yotuya Medical Building, 20 Samon-cho, Shinjuku-ku, Tokyo, Japan
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Diffusion-weighted MRI in solitary pulmonary lesions: associations between apparent diffusion coefficient and multiple histopathological parameters. Sci Rep 2018; 8:11248. [PMID: 30050167 PMCID: PMC6062570 DOI: 10.1038/s41598-018-29534-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 07/12/2018] [Indexed: 01/20/2023] Open
Abstract
Apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) has gained wide attention as potential tool for differentiating between malignant and benign solitary pulmonary lesions (SPLs). The overall effects of multiple histopathological parameters on ADC have not been elucidated, which may help to explain the overlapping of ADC between malignant and benign SPLs. The study sought to explore associations between ADC and histopathological parameters in SPLs, and to compare diagnostic capability of ADC among different types of SPLs. Multiple histopathological parameters (cell density, nuclear-to-cytoplasm ratio, necrotic fraction, presence of mucus and grade of differentiation) were quantified in 52 malignant and 13 benign SPLs with surgical pathology available. Cell density (β = −0.40) and presence of mucus (β = 0.77) were independently correlated with ADC in malignant SPLs. The accurate diagnosis rate of squamous carcinomas, adenocarcinomas without mucus and malignant tumors with mucus was 100%, 82% and 0%, respectively. Our study suggested that cell density and presence of mucus are independently correlated with ADC in malignant SPLs. Squamous carcinoma maybe more accurately diagnosed as malignancy by ADC value. Malignant SPLs with mucus and adenocarcinomas with low cell density should be kept in mind in differentiating SPLs using ADC because of insufficient diagnostic capability.
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FDG-PET/CT and diffusion-weighted imaging for resected lung cancer: correlation of maximum standardized uptake value and apparent diffusion coefficient value with prognostic factors. Med Oncol 2018; 35:66. [PMID: 29633024 PMCID: PMC5891543 DOI: 10.1007/s12032-018-1128-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 04/06/2018] [Indexed: 12/15/2022]
Abstract
Diffusion-weighted magnetic resonance imaging (DWI) is useful for detecting malignant tumors and the assessment of lymph nodes, as FDG-PET/CT is. But it is not clear how DWI influences the prognosis of lung cancer patients. The focus of this study is to evaluate the correlations between maximum standardized uptake value (SUVmax) of FDG-PET/CT and apparent diffusion coefficient (ADC) value of DWI with known prognostic factors in resected lung cancer. A total of 227 patients with resected lung cancers were enrolled in this study. FEG-PET/CT and DWI were performed in each patient before surgery. There were 168 patients with adenocarcinoma, 44 patients with squamous cell carcinoma, and 15 patients with other cell types. SUVmax was a factor that was correlated to T factor, N factor, or cell differentiation. ADC of lung cancer was a factor that was not correlated to T factor, or N factor. There was a significantly weak inverse relationship between SUVmax and ADC (Correlation coefficient r = − 0.227). In analysis of survival, there were significant differences between the categories of sex, age, pT factor, pN factor, cell differentiation, cell type, and SUVmax. Univariate analysis revealed that SUVmax, pN factor, age, cell differentiation, cell type, sex, and pT factor were significant factors. Multivariate analysis revealed that SUVmax and pN factor were independent significant prognostic factors. SUVmax was a significant prognostic factor that is correlated to T factor, N factor, or cell differentiation, but ADC was not. SUVmax may be more useful for predicting the prognosis of lung cancer than ADC values.
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Diagnostic Performance of DWI With Multiple Parameters for Assessment and Characterization of Pulmonary Lesions: A Meta-Analysis. AJR Am J Roentgenol 2018; 210:58-67. [PMID: 29091006 DOI: 10.2214/ajr.17.18257] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Usuda K, Funazaki A, Maeda R, Sekimura A, Motono N, Matoba M, Uramoto H. Economic Benefits and Diagnostic Quality of Diffusion-Weighted Magnetic Resonance Imaging for Primary Lung Cancer. Ann Thorac Cardiovasc Surg 2017; 23:275-280. [PMID: 28978865 DOI: 10.5761/atcs.ra.17-00097] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
This paper focuses on the latest research of diffusion-weighted magnetic resonance imaging (DWI), and deals with economic benefits, diagnostic benefits, and prospects of DWI for lung cancer. The medical cost of a magnetic resonance imaging (MRI) is 81%-84% cheaper than that of 18-fluoro-2-deoxy-glucose positron emission tomography/computed tomography (FDG-PET/CT). DWI is reported to be useful for differential diagnosis of malignancy or benignity for neoplasm in various organs. Diagnostic efficacy by DWI for pulmonary nodules and masses and the evaluation of N factor and M factor in lung cancer are equivalent to or more than that of FDG-PET/CT. The diagnostic capability of whole-body DWI (WB-DWI) for the staging of clinically operable lung cancers is equivalent to that of FDG-PET/CT and brain MRI, and WB-DWI is now becoming a more main stream procedure. Although the diagnostic performance of DWI for lung cancer may be equivalent to that of FDG-PET/CT, prospective randomized controlled trial for comparison of diagnostic efficacy between FDG-PET/CT and DWI for lung cancer is necessary for an accurate comparison. DWI may have an advantage in the aspect of the cost and diagnostic efficacy in lung cancer management.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
| | - Aika Funazaki
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
| | - Ryo Maeda
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
| | - Atsushi Sekimura
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Ishikawa, Japan
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Karaman A, Durur-Subasi I, Alper F, Durur-Karakaya A, Subasi M, Akgun M. Is it better to include necrosis in apparent diffusion coefficient (ADC) measurements? The necrosis/wall ADC ratio to differentiate malignant and benign necrotic lung lesions: Preliminary results. J Magn Reson Imaging 2017; 46:1001-1006. [PMID: 28152254 DOI: 10.1002/jmri.25649] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 01/12/2017] [Accepted: 01/12/2017] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To determine whether the use of necrosis/wall apparent diffusion coefficient (ADC) ratios in the differentiation of necrotic lung lesions is more reliable than measuring the wall alone. MATERIALS AND METHODS In this retrospective study, a total of 76 patients (54 males and 22 females, 71% vs. 29%, with a mean age of 53 ± 18 years, range, 18-84) were enrolled, 33 of whom had lung carcinoma and 43 had a benign necrotic lung lesion. A 3T scanner was used. The calculation of the necrosis/wall ADC ratio was based on ADC values measured from necrosis and the wall of the lesions by diffusion-weighted imaging (DWI). Statistical analyses were performed with the independent samples t-test and receiver operating characteristic analysis. Intraobserver and interobserver reliability were calculated for ADC values of wall and necrosis. RESULTS The mean necrosis/wall ADC ratio was 1.67 ± 0.23 for malignant lesions and 0.75 ± 0.19 for benign lung lesions (P < 0.001). To estimate malignancy the area under the curve (AUC) values for necrosis ADC, wall ADC, and the necrosis/wall ADC ratio were 0.720, 0.073, and 0.997, respectively. A wall/necrosis ADC ratio cutoff value of 1.12 demonstrated a 100% sensitivity and 98% specificity in the estimation of malignancy. Positive predictive value was 100%, and negative predictive value 98% and diagnostic accuracy 99%. There was a good intraobserver and interobserver reliability for wall and necrosis. CONCLUSION The necrosis/wall ADC ratio appears to be a reliable and promising tool for discriminating lung carcinoma from benign necrotic lung lesions than measuring the wall alone. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1001-1006.
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Affiliation(s)
- Adem Karaman
- Ataturk University, Faculty of Medicine, Department of Radiology, Erzurum, Turkey
| | - Irmak Durur-Subasi
- Diskapi Yildirim Beyazit Training and Research Hospital, Clinic of Radiology, Ankara, Turkey
| | - Fatih Alper
- Ataturk University, Faculty of Medicine, Department of Radiology, Erzurum, Turkey
| | - Afak Durur-Karakaya
- Istanbul Medipol University, Faculty of Medicine, Department of Radiology, Istanbul, Turkey
| | - Mahmut Subasi
- Turkiye Yuksek Ihtısas Training and Research Hospital, Clinic of Thoracic Surgery and Lung Transplantation, Ankara, Turkey
| | - Metin Akgun
- Ataturk University, Faculty of Medicine, Department of Chest Diseases, Erzurum, Turkey
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Das SK, Yang DJ, Wang JL, Zhang C, Yang HF. Non-Gaussian diffusion imaging for malignant and benign pulmonary nodule differentiation: a preliminary study. Acta Radiol 2017; 58:19-26. [PMID: 27055919 DOI: 10.1177/0284185116639763] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Accepted: 02/07/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Diffusion-weighted imaging (DWI) derived apparent diffusion coefficient (ADC) has demonstrated inconsistent results in pulmonary nodule differentiation. Diffusion kurtosis imaging (DKI), which quantifies non-Gaussian diffusion, is believed to better characterize tissue micro-structure than conventional DWI. PURPOSE To assess the feasibility of DKI in human lungs and to compare its diagnostic value with standard DWI in differentiating malignancies from benign pulmonary nodules. MATERIAL AND METHODS Thirty-five pulmonary nodules in 32 consecutive patients were evaluated by DKI by using 3b-values of 0, 500, and 1000 s/mm2 and conventional DWI with b values of 0 and 800 s/mm2. Two observers independently evaluated and compared diagnostic accuracy of mean kurtosis (MK) and ADC values in differentiating malignancies from benign pulmonary nodules. The intra- and inter-observer repeatability (intra-class correlation coefficient [ICC]) were also assessed for each derived measures. RESULTS The diagnostic accuracy, and the area under curve (AUC) in differentiating malignancies from benign pulmonary nodule, were not significantly higher for MK (Obs. 1a: 85.70%, 0.87; Obs. 1b: 80.00%, 0.80; and Obs. 2: 82.80%, 0.91) as compared to ADC (Obs. 1a: 77.14%, 0.81; Obs. 1b: 80.00%, 0.85; and Obs. 2: 77.14%, 0.85 respectively). The intra- and inter-observer agreement (ICC) for malignant and benign lesions was substantial for each reading. CONCLUSION The initial results of this study indicate the feasibility of DKI in human lungs. However, there was no significant benefit of DKI derived MK values over ADC for malignant and benign pulmonary nodule differentiation.
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Affiliation(s)
- Sushant Kumar Das
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, PR China
| | - Dong Jun Yang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, PR China
| | - Jin Liang Wang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, PR China
| | - Chuan Zhang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, PR China
| | - Han Feng Yang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, PR China
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Deng Y, Li X, Lei Y, Liang C, Liu Z. Use of diffusion-weighted magnetic resonance imaging to distinguish between lung cancer and focal inflammatory lesions: a comparison of intravoxel incoherent motion derived parameters and apparent diffusion coefficient. Acta Radiol 2016; 57:1310-1317. [PMID: 25972370 DOI: 10.1177/0284185115586091] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Using imaging techniques to diagnose malignant and inflammatory lesions in the lung can be challenging. Purpose To compare intravoxel incoherent motion (IVIM) and apparent diffusion coefficient (ADC) magnetic resonance imaging (MRI) analysis in their ability to discriminate lung cancer from focal inflammatory lung lesions. Material and Methods Thirty-eight patients with lung masses were included: 30 lung cancers and eight inflammatory lesions. Patients were imaged with 3.0T MRI diffusion weighted imaging (DWI) using 10 b values (range, 0-1000 s/mm2). Tissue diffusivity ( D), pseudo-diffusion coefficient ( D*), and perfusion fraction ( f) were calculated using segmented biexponential analysis. ADC (total) was calculated with monoexponential fitting of the DWI data. D, D*, f, and ADC were compared between lung cancer and inflammatory lung lesions. Receiver operating characteristic analysis was performed for all DWI parameters. Results The ADC was significantly higher for inflammatory lesions than for lung cancer ([1.21 ± 0.20] × 10-3 mm2/s vs. [0.97 ± 0.15] × 10-3 mm2/s; P = 0.004). By IVIM, f was found to be significantly higher in inflammatory lesions than lung cancer ([46.10 ± 12.92] % vs. [29.29 ± 10.89] %; P = 0.005). There was no difference in D and D* between lung cancer and inflammatory lesions ( P = 0.747 and 0.124, respectively). f showed comparable diagnostic performance with ADC in differentiating lung cancer from inflammatory lung lesions, with areas under the curve of 0.833 and 0.826, sensitivity 80.0% and 73.3%, and specificity 75.0% and 87.5%, respectively. Conclusion The IVIM parameter f value provides comparable diagnostic performance with ADC and could be used as a surrogate marker for differentiating lung cancer from inflammatory lesions.
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Affiliation(s)
- Yu Deng
- Southern Medical University, Guangzhou, PR China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, PR China
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Xinchun Li
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Yongxia Lei
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Changhong Liang
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, PR China
| | - Zaiyi Liu
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, PR China
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Usuda K, Maeda S, Motono N, Ueno M, Tanaka M, Machida Y, Matoba M, Watanabe N, Tonami H, Ueda Y, Sagawa M. Diffusion Weighted Imaging Can Distinguish Benign from Malignant Mediastinal Tumors and Mass Lesions: Comparison with Positron Emission Tomography. Asian Pac J Cancer Prev 2016; 16:6469-75. [PMID: 26434861 DOI: 10.7314/apjcp.2015.16.15.6469] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diffusion-weighted magnetic resonance imaging (DWI) makes it possible to detect malignant tumors based on the diffusion of water molecules. It is uncertain whether DWI is more useful than positron emission tomography-computed tomography (PET-CT) for distinguishing benign from malignant mediastinal tumors and mass lesions. MATERIALS AND METHODS Sixteen malignant mediastinal tumors (thymomas 7, thymic cancers 3, malignant lymphomas 3, malignant germ cell tumors 2, and thymic carcinoid 1) and 12 benign mediastinal tumors or mass lesions were assessed in this study. DWI and PET-CT were performed before biopsy or surgery. RESULTS The apparent diffusion coefficient (ADC) value (1.51±0.46x10(-3) mm2/sec) of malignant mediastinal tumors was significantly lower than that (2.96±0.86x10(-3) mm2/sec) of benign mediastinal tumors and mass lesions (P<0.0001). Maximum standardized uptake value (SUVmax) (11.30±11.22) of malignant mediastinal tumors was significantly higher than that (2.53±3.92) of benign mediastinal tumors and mass lesions (P=0.0159). Using the optimal cutoff value (OCV) 2.21x10(-3) mm2/sec for ADC and 2.93 for SUVmax, the sensitivity (100%) by DWI was not significantly higher than that (93.8%) by PET-CT for malignant mediastinal tumors. The specificity (83.3%) by DWI was not significantly higher than that (66.7%) for benign mediastinal tumors and mass lesions. The accuracy (92.9%) by DWI was not significantly higher than that (82.1%) by PET-CT for mediastinal tumors and mass lesions. CONCLUSIONS There was no significant difference between diagnostic capability of DWI and that of PET-CT for distinguishing mediastinal tumors and mass lesions. DWI is useful in distinguishing benign from malignant mediastinal tumors and mass lesions.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Daigaku, Uchinada, Ishikawa, Japan E-mail :
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Usuda K, Maeda S, Motono N, Ueno M, Tanaka M, Machida Y, Matoba M, Watanabe N, Tonami H, Ueda Y, Sagawa M. Diagnostic Performance of Diffusion - Weighted Imaging for Multiple Hilar and Mediastinal Lymph Nodes with FDG Accumulation. Asian Pac J Cancer Prev 2015; 16:6401-6. [DOI: 10.7314/apjcp.2015.16.15.6401] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Karaman A, Durur-Subasi I, Alper F, Araz O, Subasi M, Demirci E, Albayrak M, Polat G, Akgun M, Karabulut N. Correlation of diffusion MRI with the Ki-67 index in non-small cell lung cancer. Radiol Oncol 2015; 49:250-5. [PMID: 26401130 PMCID: PMC4577221 DOI: 10.1515/raon-2015-0032] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Accepted: 07/09/2015] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The primary objective of the study was to evaluate the association between the minimum apparent diffusion coefficient (ADCmin) and Ki-67, an index for cellular proliferation, in non-small cell lung cancers. Also, we aimed to assess whether ADCmin values differ between tumour subtypes and tissue sampling method. METHODS The patients who had diffusion weighted magnetic resonance imaging (DW-MRI) were enrolled retrospectively. The correlation between ADCmin and the Ki-67 index was evaluated. RESULTS Ninety three patients, with a mean age 65 ± 11 years, with histopathologically proven adenocarcinoma and squamous cell carcinoma of the lungs and had technically successful DW-MRI were included in the study. The numbers of tumour subtypes were 47 for adenocarcinoma and 46 for squamous cell carcinoma. There was a good negative correlation between ADCmin values and the Ki-67 proliferation index (r = -0.837, p < 0.001). The mean ADCmin value was higher and the mean Ki-67 index was lower in adenocarcinomas compared to squamous cell carcinoma (p < 0.0001). There was no statistical difference between tissue sampling methods. CONCLUSIONS Because ADCmin shows a good but negative correlation with Ki-67 index, it provides an opportunity to evaluate tumours and their aggressiveness and may be helpful in the differentiation of subtypes non-invasively.
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Affiliation(s)
- Adem Karaman
- Department of Radiology, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Irmak Durur-Subasi
- Department of Radiology, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Fatih Alper
- Department of Radiology, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Omer Araz
- Department of Pulmonary Diseases, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Mahmut Subasi
- Department of Thoracic Surgery, Erzurum Regional Training and Research Hospital, Erzurum, Turkey
| | - Elif Demirci
- Department of Pathology, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Mevlut Albayrak
- Department of Pathology, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Gökhan Polat
- Department of Radiology, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Metin Akgun
- Department of Pulmonary Diseases, Ataturk University, Medical Faculty, Erzurum, Turkey
| | - Nevzat Karabulut
- Department of Radiology, Pamukkale University, Medical Faculty, Denizli, Turkey
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Sun JH, Jiang L, Guo F, Zhang XS. Diagnostic significance of apparent diffusion coefficient values with diffusion weighted MRI in breast cancer: a meta- analysis. Asian Pac J Cancer Prev 2015; 15:8271-7. [PMID: 25339017 DOI: 10.7314/apjcp.2014.15.19.8271] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
AIMS Apparent diffusion coefficient (ADC) values of nodes in diffusion-weighted imaging (DWI) are widely used in differentiating metastatic from non-metastatic lymph nodes. The purpose of this meta-analysis was to demonstrate whether DWI could contribute to the precise diagnosis of breast cancer (BC) with and without lymph node metastasis (LNM). MATERIALS AND METHODS English and Chinese electronic databases were searched for relevant studies followed by a comprehensive literature search. Two reviewers independently assessed the methodological quality of the included trials based on the quality assessment of diagnostic accuracy studies (QUADAS). Summary odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were calculated. RESULTS Final analysis of 624 BC subjects (patients with LNM = 254, patients without LNM = 370) were incorporated into the current meta-analysis from 9 eligible cohort studies. Combined ORs of ADCs suggested that ADC values in BC patients without LNM were higher than in patients with LNM (OR=0.56, 95%CI: 0.11-1.01, p=0.015). Subgroup analysis stratified by country indicated a low ADC value in BC patients with LNM rather than those without LNM among Chinese (OR=1.27, 95%CI: 0.89-1.66, p<0.001), Italians (OR=0.75, 95%CI: 0.13-1.38, p=0.018), and Egyptians (OR=1.27, 95%CI: 0.71-1.84, p<0.001). The findings of subgroup analysis by MRI machine type revealed that ADC values from diffusion MRI may be potential diagnostic indicators for BC using Non-Philips 1.5T (OR=1.10, 95%CI: 0.84-1.36, p<0.001). CONCLUSIONS The main findings of our meta-analysis demonstrated that increased signal intensity on DWI and decreased signals on ADC are helpful in diagnosis of BC patients with or without LNM. DWI could therefore be an important imaging investigation in patients suspected of BC.
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Affiliation(s)
- Jiang-Hong Sun
- Department of Radiology, Harbin Medical University Cancer Hospital, China E-mail :
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Usuda K, Sagawa M, Motomo N, Ueno M, Tanaka M, Machida Y, Maeda S, Matoba M, Tonami H, Ueda Y, Sakuma T. Recurrence and metastasis of lung cancer demonstrate decreased diffusion on diffusion-weighted magnetic resonance imaging. Asian Pac J Cancer Prev 2015; 15:6843-8. [PMID: 25169535 DOI: 10.7314/apjcp.2014.15.16.6843] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diffusion-weighted magnetic resonance imaging (DWI) is reported to be useful for detecting malignant lesions. The purpose of this study is to clarify characteristics of imaging, detection rate and sensitivity of DWI for recurrence or metastasis of lung cancer. METHODS A total of 36 lung cancer patients with recurrence or metastasis were enrolled in this study. While 16 patients underwent magnetic resonance imaging (MRI), computed tomography (CT) and positron emission tomography-computed tomography (PET-CT), 17 underwent MRI and CT, and 3 underwent MRI and PET-CT. RESULTS Each recurrence or metastasis showed decreased diffusion, which was easily recognized in DWI. The detection rate for recurrence or metastasis was 100% (36/36) in DWI, 89% (17/19) in PET-CT and 82% (27/33) in CT. Detection rate of DWI was significantly higher than that of CT (p=0.0244) but not significantly higher than that of PET-CT (p=0.22). When the optimal cutoff value of the apparent diffusion coefficient value was set as 1.70?10-3 mm2/sec, the sensitivity of DWI for diagnosing recurrence or metastasis of lung cancer was 95.6%. CONCLUSIONS DWI is useful for detection of recurrence and metastasis of lung cancer.
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Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University,Uchinada, Ishikawa, Japan E-mail :
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Shen G, Jia Z, Deng H. Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis. Eur Radiol 2015; 26:556-66. [PMID: 26003791 DOI: 10.1007/s00330-015-3840-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2014] [Revised: 04/27/2015] [Accepted: 05/08/2015] [Indexed: 02/05/2023]
Abstract
OBJECTIVES The potential performance of apparent diffusion coefficient (ADC) values for distinguishing malignant and benign pulmonary lesions, further characterizing the subtype of lung cancer was assessed. METHODS PubMed, EMBASE, Cochrane Library, EBSCO, and three Chinese databases were searched to identify eligible studies on diffusion-weighted imaging (DWI) of focal pulmonary lesions. ADC values of malignant and benign lesions were extracted by lesion type and statistically pooled based on a linear mixed model. Further analysis for subtype of lung cancer was also performed. The methodological quality was assessed using the quality assessment of diagnostic accuracy studies tool. RESULTS Thirty-four articles involving 2086 patients were included. Malignant pulmonary lesions have significantly lower ADC values than benign lesions [1.21 (95% CI, 1.19-1.22) mm(2)/s vs. 1.76 (95% CI, 1.72-1.80) mm(2)/s; P < 0.05]. There is a significant difference between ADC values of small cell lung cancer and non-small cell lung cancer (P < 0.05), while the differences were not significant among histological subtypes of lung cancer. The methodological quality was relatively high, and the data points from Begg's test indicated that there was probably no obvious publication bias. CONCLUSIONS The ADC value is helpful for distinguishing malignant and benign pulmonary lesions and provides a promising method for differentiation of SCLC from NSCLC. KEY POINTS • This meta-analysis assesses the role of DWI in pulmonary lesions. • Differentiation and classification subtype of lung cancer is essential for treatment decision-making. • ADC values can help distinguish between malignant and benign lesions. • ADC values might help characterize the subtype of lung cancer.
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Affiliation(s)
- Guohua Shen
- Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, People's Republic of China.
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, People's Republic of China.
| | - Houfu Deng
- Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, People's Republic of China
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