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Li Q, Xu WY, Sun NN, Feng QX, Zhu ZN, Hou YJ, Sang ZT, Li FY, Li BW, Xu H, Liu XS, Zhang YD. MRI versus Dual-Energy CT in Local-Regional Staging of Gastric Cancer. Radiology 2024; 312:e232387. [PMID: 39012251 DOI: 10.1148/radiol.232387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Background Preoperative local-regional tumor staging of gastric cancer (GC) is critical for appropriate treatment planning. The comparative accuracy of multiparametric MRI (mpMRI) versus dual-energy CT (DECT) for staging of GC is not known. Purpose To compare the diagnostic accuracy of personalized mpMRI with that of DECT for local-regional T and N staging in patients with GC receiving curative surgical intervention. Materials and Methods Patients with GC who underwent gastric mpMRI and DECT before gastrectomy with lymphadenectomy were eligible for this single-center prospective noninferiority study between November 2021 and September 2022. mpMRI comprised T2-weighted imaging, multiorientational zoomed diffusion-weighted imaging, and extradimensional volumetric interpolated breath-hold examination dynamic contrast-enhanced imaging. Dual-phase DECT images were reconstructed at 40 keV and standard 120 kVp-like images. Using gastrectomy specimens as the reference standard, the diagnostic accuracy of mpMRI and DECT for T and N staging was compared by six radiologists in a pairwise blinded manner. Interreader agreement was assessed using the weighted κ and Kendall W statistics. The McNemar test was used for head-to-head accuracy comparisons between DECT and mpMRI. Results This study included 202 participants (mean age, 62 years ± 11 [SD]; 145 male). The interreader agreement of the six readers for T and N staging of GC was excellent for both mpMRI (κ = 0.89 and 0.85, respectively) and DECT (κ = 0.86 and 0.84, respectively). Regardless of reader experience, higher accuracy was achieved with mpMRI than with DECT for both T (61%-77% vs 50%-64%; all P < .05) and N (54%-68% vs 51%-58%; P = .497-.005) staging, specifically T1 (83% vs 65%) and T4a (78% vs 68%) tumors and N1 (41% vs 24%) and N3 (64% vs 45%) nodules (all P < .05). Conclusion Personalized mpMRI was superior in T staging and noninferior or superior in N staging compared with DECT for patients with GC. Clinical trial registration no. NCT05508126 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Méndez and Martín-Garre in this issue.
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Affiliation(s)
- Qiong Li
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Wei-Yue Xu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Na-Na Sun
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Qiu-Xia Feng
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Zhen-Ning Zhu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Ya-Jun Hou
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Zi-Tong Sang
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Feng-Yuan Li
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Bo-Wen Li
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Hao Xu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Xi-Sheng Liu
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
| | - Yu-Dong Zhang
- From the Departments of Radiology (Q.L., W.Y.X., N.N.S., Q.X.F., Z.N.Z., Y.J.H., Z.T.S., X.S.L., Y.D.Z.) and General Surgery (F.Y.L., B.W.L., H.X.), the First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Rd, Nanjing 210009, China
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Méndez RJ, Martín-Garre S. MRI for Local-Regional Staging of Gastric Cancer: A Promising Approach. Radiology 2024; 312:e241384. [PMID: 39012248 DOI: 10.1148/radiol.241384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Affiliation(s)
- Ramiro J Méndez
- From the Department of Radiology, Hospital Clínico San Carlos, C. Martín Lagos S/N, 28040 Madrid, Spain; and Department of Radiology, Rehabilitation, and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Susana Martín-Garre
- From the Department of Radiology, Hospital Clínico San Carlos, C. Martín Lagos S/N, 28040 Madrid, Spain; and Department of Radiology, Rehabilitation, and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
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Liu QM, Chen Y, Fan WJ, Wu XH, Zhang ZW, Lu BL, Ma YR, Liu YY, Wu YZ, Yu SP, Wen ZQ. Value of orthogonal axial MR images in preoperative T staging of gastric cancer. Abdom Radiol (NY) 2024:10.1007/s00261-024-04322-8. [PMID: 38755454 DOI: 10.1007/s00261-024-04322-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 05/18/2024]
Abstract
PURPOSE To assess the value of orthogonal axial images (OAI) of MRI in gastric cancer T staging. METHODS This retrospective study enrolled 133 patients (median age, 63 [range, 24-85] years) with gastric adenocarcinoma who underwent both CT and MRI followed by surgery. MRI lacking or incorporating OAI and CT images were evaluated, respectively. Diagnostic performance (accuracy, sensitivity, and specificity) for each T stage, overall diagnostic accuracy and rates of over- and understaging were quantified employing pathological T stage as a reference standard. The McNemar's test was performed to compare the overall accuracy. RESULTS Among patients with pT1-pT4 disease, MRI with OAI (accuracy: 88.7-94.7%, sensitivity: 66.7-93.0%, specificity: 91.5-100.0%) exhibited superior diagnostic performance compared to MRI without OAI (accuracy: 81.2-88.7%, sensitivity: 46.2-83.1%, specificity: 85.5-99.1%) and CT (accuracy: 88.0-92.5%, sensitivity: 53.3-90.1%, specificity: 88.7-98.1%). The overall accuracy of MRI with OAI was significantly higher (83.5%) than that of MRI without OAI (67.7%) (p < .001). However, there was no significant difference in the overall accuracy of MRI with OAI and CT (78.9%) (p = .35). The over- and understaging rates of MRI with OAI (12.0, 4.5%) were lower than those of MRI without OAI (21.8, 10.5%) and CT (12.8, 8.3%). CONCLUSION OAI play a pivotal role in the T staging of gastric cancer. MRI incorporating OAI demonstrated commendable performance for gastric cancer T-staging, with a slight tendency toward its superiority over CT.
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Affiliation(s)
- Quan-Meng Liu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Wen-Jie Fan
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518017, China
| | - Xue-Han Wu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518017, China
| | - Zhi-Wen Zhang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Bao-Lan Lu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yu-Ru Ma
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yi-Yan Liu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yun-Zhu Wu
- MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, 210031, China
| | - Shen-Ping Yu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
| | - Zi-Qiang Wen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
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Wang N, Yan X, Zhang Z, Liu L, Zhu J, Huang X, Nie F. Whether the use of intravenous contrast-enhanced ultrasound can improve the accuracy of T stage diagnosis of gastric cancer? Clin Hemorheol Microcirc 2024; 86:433-440. [PMID: 37980652 DOI: 10.3233/ch-231949] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
OBJECTIVE To explore whether the use of intravenous contrast-enhanced ultrasound (CEUS) can improve the diagnostic accuracy of T stage of gastric cancer on the basis of oral contrast-enhanced ultrasound (OCEUS). METHODS Eighty-one patients with gastric cancer who underwent preoperative CEUS. Criteria for T staging was AJCC Stage 8th Edition. To compare the diagnostic accuracy, sensitivity and specificity of OCEUS and CEUS for T staging of gastric cancer using pathological results as the gold standard. RESULTS There were differences in the diagnostic accuracy of T2 (P = 0.048), T3(P = 0.002) and T4 (P = 0.000) between OCEUS and CEUS. And there was no difference in diagnostic accuracy for T1 (P = 0.118). CEUS significantly improved diagnostic sensitivity and specificity in T3 (42.86% to 61.90% for sensitivity, 86.96% to 93.75% for specificity), and T4 (64.71% to 76.47% for sensitivity, 78.33% to 95.74% for specificity). CONCLUSION Compared with OCEUS, CEUS did improve the diagnostic accuracy of T2, T3, and T4 stages of gastric cancer.
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Affiliation(s)
- Nan Wang
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China
- Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Xueliang Yan
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
| | - Zhiqi Zhang
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
| | - Luping Liu
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China
- Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Ju Zhu
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China
- Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Xiao Huang
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China
- Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Fang Nie
- Ultrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China
- Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
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Giandola T, Maino C, Marrapodi G, Ratti M, Ragusi M, Bigiogera V, Talei Franzesi C, Corso R, Ippolito D. Imaging in Gastric Cancer: Current Practice and Future Perspectives. Diagnostics (Basel) 2023; 13:diagnostics13071276. [PMID: 37046494 PMCID: PMC10093088 DOI: 10.3390/diagnostics13071276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/19/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
Gastric cancer represents one of the most common oncological causes of death worldwide. In order to treat patients in the best possible way, the staging of gastric cancer should be accurate. In this regard, endoscopy ultrasound (EUS) has been considered the reference standard for tumor (T) and nodal (N) statuses in recent decades. However, thanks to technological improvements, computed tomography (CT) has gained an important role, not only in the assessment of distant metastases (M status) but also in T and N staging. In addition, magnetic resonance imaging (MRI) can contribute to the detection and staging of primary gastric tumors thanks to its excellent soft tissue contrast and multiple imaging sequences without radiation-related risks. In addition, MRI can help with the detection of liver metastases, especially small lesions. Finally, positron emission tomography (PET) is still considered a useful diagnostic tool for the staging of gastric cancer patients, with a focus on nodal metastases and peritoneal carcinomatosis. In addition, it may play a role in the treatment of gastric cancer in the coming years thanks to the introduction of new labeling peptides. This review aims to summarize the most common advantages and pitfalls of EUS, CT, MRI and PET in the TNM staging of gastric cancer patients.
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Prevalence of nodal metastases in the individual lymph node stations for different T-stages in gastric cancer: a systematic review. Updates Surg 2023; 75:281-290. [PMID: 35962278 PMCID: PMC9852106 DOI: 10.1007/s13304-022-01347-w] [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: 03/20/2022] [Accepted: 07/30/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Gastrectomy with lymph node dissection is the cornerstone of curative treatment of gastric cancer. Extent of lymphadenectomy may differ depending on T-stage, as the rate of lymph node metastases may differ. The objective of this systematic review is to investigate and compare the prevalence of nodal metastases in the individual lymph node stations between different T-stages. METHODS Data reporting and structure of this systematic review follows the PRISMA checklist. The Medline and PubMed databases were systematically searched. The search included the following Mesh terms: "Stomach Neoplasms", "Lymphatic Metastasis" and "Lymph Node Excision". The primary outcome was the highest prevalence of nodal metastases per T-stage. RESULTS The initial search resulted in 175 eligible articles. Five articles met the inclusion criteria and were accordingly analyzed. Concerning the lymph node stations 1 to 7, the lymph nodes along the lesser gastric curvature (station 3) show the highest metastases rate (T1: 5.5%, T2: 21.9%, T3: 41.9%, T4: 71.0%). Concerning the lymph node stations 8 to 20, the lymph nodes around the common hepatic artery (station 8) show the highest metastases rate (T1: 0.8%, T2: 7.9%, T3: 14.0%, T4: 28.2%). CONCLUSION An overall low prevalence of nodal metastases in the individual lymph node stations in early, T1 gastric carcinomas and an overall high prevalence in more advanced, T3 and T4 gastric carcinomas endorse a more tailored approach based on the different gastric T-stages. In addition, a less extensive lymphadenectomy seems justified in early T1 carcinoma. SYNOPSIS This systematic review provides an overview of the prevalence of nodal metastases for the individual lymph node stations between different T-stages, showing an overall low prevalence in early, T1 gastric carcinomas and an overall high prevalence in the more advanced, T3 and T4 gastric carcinomas.
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Muacevic A, Adler JR, Aswani Y, Bairy A, Narvel H. Obstructive Jaundice as the Initial Manifestation of Gastric Adenocarcinoma. Cureus 2022; 14:e32478. [PMID: 36644047 PMCID: PMC9835852 DOI: 10.7759/cureus.32478] [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] [Accepted: 12/12/2022] [Indexed: 12/15/2022] Open
Abstract
A 52-year-old female presented with epigastric pain, yellowing of the sclera, and vomiting for three weeks. Laboratory investigations revealed markedly elevated serum bilirubin and alkaline phosphatase levels, accompanied by a modest rise in transaminases. A clinical diagnosis of obstructive jaundice was established. Ultrasound of the abdomen depicted a mass in the region of the head of the pancreas. Contrast-enhanced computed tomography (CECT) of the abdomen revealed an infiltrative gastric mass spreading across the gastroduodenal junction and involving the ampulla of Vater. Owing to comorbid conditions and widespread lymphadenopathy, a palliative gastrojejunostomy with excision biopsy was performed. Histopathology confirmed an undifferentiated gastric adenocarcinoma.
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Liang Y, Guo W, Li C, Shen G, Tan H, Sun P, Chen Z, Huang H, Li Z, Li Z, Ren Y, Li G, Hu Y. Tumor-Targeted Polydopamine-Based Nanoparticles for Multimodal Mapping Following Photothermal Therapy of Metastatic Lymph Nodes. Int J Nanomedicine 2022; 17:4659-4675. [PMID: 36199474 PMCID: PMC9528963 DOI: 10.2147/ijn.s367975] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/07/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose Lymphadenectomy with lymph node (LN) mapping is essential for surgical removal of solid tumors. Existing agents do not provide accurate multimodal mapping and antitumor therapy for metastatic LNs; therefore, we fabricated a polydopamine (PDA) nanoparticle (NP)-based tumor-targeted LN mapping agent capable of multimodal mapping and guided photothermal therapy (PTT) for metastatic LNs. Materials and Methods PDA NPs modified with polyethylene glycol (PEG) were obtained by polymerization under alkaline conditions. The PEG-PDA NPs were loaded with the circular tripeptide Arg-Gly-Asp (cRGD) to achieve tumor-targeting capacity and with the fluorescent dye IR820 and magnetic resonance imaging (MRI) contrast Gd(NH2)2 for in situ detection. The resulting cRGD-PEG-PDA@IR820/Gd(NH2)2 (cRGD-PPIG) NPs were tested for their biosafety and metastatic LN mapping ability. They were drained specifically into LNs and selectively taken up by gastric MKN45 cells via αvβ3 integrin-mediated endocytosis. Results This phenomenon enabled MR/optical/near-infrared fluorescence multimodal metastatic LN mapping, guiding the creation of accurate and highly efficient PTT for gastric cancer metastatic LNs in mice. Conclusion In summary, we fabricated tumor-targeted cRGD-PPIG NPs with MR/optical/near-infrared fluorescence multimodal metastatic LN mapping capacity for surgery and efficient PTT guidance post-surgery.
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Affiliation(s)
- Yanrui Liang
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Weihong Guo
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Chuangji Li
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Guodong Shen
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Haoxian Tan
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Peiwen Sun
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhian Chen
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Huilin Huang
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhenhao Li
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhenyuan Li
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yingxin Ren
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Guoxin Li
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
- Correspondence: Guoxin Li; Yanfeng Hu, Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Ave, Baiyun District, Guangzhou, 510515, People’s Republic of China, Tel +86-20-6164-1681; +86-20-6164-1682, Fax +86-20-6164-1681, Email ;
| | - Yanfeng Hu
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
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Xu M, Liu S, Li L, Qiao X, Ji C, Tan L, Zhou Z. Development and validation of multivariate models integrating preoperative clinicopathological and radiographic findings to predict HER2 status in gastric cancer. Sci Rep 2022; 12:14177. [PMID: 35986169 PMCID: PMC9391326 DOI: 10.1038/s41598-022-18433-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/11/2022] [Indexed: 12/24/2022] Open
Abstract
AbstractThe combination of trastuzumab and chemotherapy is recommended as first-line therapy for patients with human epidermal growth factor receptor 2 (HER2) positive advanced gastric cancers (GCs). Successful trastuzumab-induced targeted therapy should be based on the assessment of HER2 overexpression. This study aimed to evaluate the feasibility of multivariate models based on hematological parameters, endoscopic biopsy, and computed tomography (CT) findings for assessing HER2 overexpression in GC. This retrospective study included 183 patients with GC, and they were divided into primary (n = 137) and validation (n = 46) cohorts at a ratio of 3:1. Hematological parameters, endoscopic biopsy, CT morphological characteristics, and CT value-related and texture parameters of all patients were collected and analyzed. The mean corpuscular hemoglobin concentration value, morphological type, 3 CT value-related parameters, and 22 texture parameters in three contrast-enhanced phases differed significantly between the two groups (all p < 0.05). Multivariate models based on the regression analysis and support vector machine algorithm achieved areas under the curve of 0.818 and 0.879 in the primary cohort, respectively. The combination of hematological parameters, CT morphological characteristics, CT value-related and texture parameters could predict HER2 overexpression in GCs with satisfactory diagnostic efficiency. The decision curve analysis confirmed the clinical utility.
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Chen S, Yu Y, Li T, Ruan W, Wang J, Peng Q, Yu Y, Cao T, Xue W, Liu X, Chen Z, Yu J, Fan JB. A novel DNA methylation signature associated with lymph node metastasis status in early gastric cancer. Clin Epigenetics 2022; 14:18. [PMID: 35115040 PMCID: PMC8811982 DOI: 10.1186/s13148-021-01219-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 12/13/2021] [Indexed: 11/16/2022] Open
Abstract
Background Lymph node metastasis (LNM) is an important factor for both treatment and prognosis of early gastric cancer (EGC). Current methods are insufficient to evaluate LNM in EGC due to suboptimal accuracy. Herein, we aim to identify methylation signatures for LNM of EGC, facilitate precision diagnosis, and guide treatment modalities. Methods For marker discovery, genome-wide methylation sequencing was performed in a cohort (marker discovery) using 47 fresh frozen (FF) tissue samples. The identified signatures were subsequently characterized for model development using formalin-fixed paraffin-embedded (FFPE) samples by qPCR assay in a second cohort (model development cohort, n = 302, training set: n = 151, test set: n = 151). The performance of the established model was further validated using FFPE samples in a third cohorts (validation cohort, n = 130) and compared with image-based diagnostics, conventional clinicopathology-based model (conventional model), and current standard workups. Results Fifty LNM-specific methylation signatures were identified de novo and technically validated. A derived 3-marker methylation model for LNM diagnosis was established that achieved an AUC of 0.87 and 0.88, corresponding to the specificity of 80.9% and 85.7%, sensitivity of 80.6% and 78.1%, and accuracy of 80.8% and 83.8% in the test set of model development cohort and validation cohort, respectively. Notably, this methylation model outperformed computed tomography (CT)-based imaging with a superior AUC (0.88 vs. 0.57, p < 0.0001) and individual clinicopathological features in the validation cohort. The model integrated with clinicopathological features demonstrated further enhanced AUCs of 0.89 in the same cohort. The 3-marker methylation model and integrated model reduced 39.4% and 41.5% overtreatment as compared to standard workups, respectively. Conclusions A novel 3-marker methylation model was established and validated that shows diagnostic potential to identify LNM in EGC patients and thus reduce unnecessary gastrectomy in EGC. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01219-x.
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Affiliation(s)
- Shang Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Yanqi Yu
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Tao Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Weimei Ruan
- AnchorDx Medical Co., Ltd, Unit 502, No. 8, 3rd Luoxuan Road, International Bio-Island, Guangzhou, 510300, China
| | - Jun Wang
- AnchorDx Medical Co., Ltd, Unit 502, No. 8, 3rd Luoxuan Road, International Bio-Island, Guangzhou, 510300, China
| | - Quanzhou Peng
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.,Department of Pathology, Shenzhen People's Hospital, Shennan Dong Lu, Luohu District, Shenzhen, 518002, China
| | - Yingdian Yu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Tianfeng Cao
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Wenyuan Xue
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Xin Liu
- AnchorDx, Inc., 46305 Landing Pkwy, Fremont, CA, 94538, USA
| | - Zhiwei Chen
- AnchorDx Medical Co., Ltd, Unit 502, No. 8, 3rd Luoxuan Road, International Bio-Island, Guangzhou, 510300, China.,AnchorDx, Inc., 46305 Landing Pkwy, Fremont, CA, 94538, USA
| | - Jiang Yu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Jian-Bing Fan
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China. .,AnchorDx Medical Co., Ltd, Unit 502, No. 8, 3rd Luoxuan Road, International Bio-Island, Guangzhou, 510300, China.
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11
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Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics. Int J Mol Sci 2022; 23:ijms23031339. [PMID: 35163262 PMCID: PMC8835851 DOI: 10.3390/ijms23031339] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/22/2022] [Accepted: 01/22/2022] [Indexed: 02/08/2023] Open
Abstract
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at many different frequencies, at home and at work. Epidemiological studies indicate that there is a positive relationship between residential/domestic and occupational exposure to extremely low frequency electromagnetic fields and some types of cancer, although some other studies indicate no relationship. In this review, after an introduction on the MF definition and a description of natural/anthropogenic sources, the epidemiology of residential/domestic and occupational exposure to MFs and cancer is reviewed, with reference to leukemia, brain, and breast cancer. The in vivo and in vitro effects of MFs on cancer are reviewed considering both human and animal cells, with particular reference to the involvement of reactive oxygen species (ROS). MF application on cancer diagnostic and therapy (theranostic) are also reviewed by describing the use of different magnetic resonance imaging (MRI) applications for the detection of several cancers. Finally, the use of magnetic nanoparticles is described in terms of treatment of cancer by nanomedical applications for the precise delivery of anticancer drugs, nanosurgery by magnetomechanic methods, and selective killing of cancer cells by magnetic hyperthermia. The supplementary tables provide quantitative data and methodologies in epidemiological and cell biology studies. Although scientists do not generally agree that there is a cause-effect relationship between exposure to MF and cancer, MFs might not be the direct cause of cancer but may contribute to produce ROS and generate oxidative stress, which could trigger or enhance the expression of oncogenes.
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12
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Accuracy of Endoscopic Ultrasonography for Gastric Cancer Staging. CURRENT HEALTH SCIENCES JOURNAL 2022; 48:88-94. [PMID: 35911933 PMCID: PMC9289590 DOI: 10.12865/chsj.48.01.13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 01/12/2022] [Indexed: 12/13/2022]
Abstract
Gastric cancer remains a health problem, with treatment indications varying with the TNM stage. We aimed in this study to highlight the role of EUS in GC patients and also to calculate the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of EUS for T and N staging in our group of patients with this disease. In this study, we included 41 GC patients, and individual values for every T stage accuracy, sensitivity, specificity, PPV, NPV, correct staging, understaging, and overstaging were calculated. EUS overall accuracy for T staging was 58.53%, with the highest sensitivity reached for the T4 stage, 95.83%. For N+vs. N-staging, EUS accuracy was 68.29%, with a sensitivity of 75% and a specificity of 44.44%. The positive and negative predicted values for the presence or absence of nodal disease were 82.75%, respectively 33.33%. In conclusion, this study confirmed the importance of EUS for the assessment of GC T and N stage and highlighted the role of this tool in the detection of liver micrometastasis unrevealed by other imaging techniques like abdominal ultrasound or MSCT.
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13
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Development and evaluation of a ceMDCT-based preoperative risk stratification model to predict disease-free survival after radical surgery in patients with gastric cancer. Abdom Radiol (NY) 2021; 46:4079-4089. [PMID: 33811513 DOI: 10.1007/s00261-021-03049-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 03/04/2021] [Accepted: 03/09/2021] [Indexed: 02/06/2023]
Abstract
PURPOSE To develop and evaluate a preoperative risk stratification model for predicting disease-free survival (DFS) based on contrast-enhanced multidetector computed tomography (ceMDCT) images in patients with gastric cancer (GC) undergoing radical surgery. METHODS We retrospectively enrolled patients with GC who underwent ceMDCT followed by radical surgery. A preoperative risk stratification model was constructed (including risk factor selection, risk status scoring, and risk level assignment) using Cox proportional hazard regression and log-rank analyses in the training cohort; the model was tested in the validation cohort. A nomogram was used to compare the preoperative risk stratification model with a postoperative DFS prediction model. RESULTS A total of 462 patients (training/validation: 271/191) were included. The ceMDCT features of T category (score of 0 or 2), N category (0, 1, 2, or 3), extramural vessel invasion (0 or 2), and tumor location (0 or 1) were selected to construct the preoperative risk stratification model, with 4 risk levels defined based on risk score. There were significant differences in DFS among the risk levels in both cohorts (p < 0.001). The predictive value of the preoperative model was similar to that of the postoperative model, with concordance indices of 0.791 (95% CI, 0.743-0.837) and 0.739 (95% CI, 0.666-0.812), respectively, in the training cohort and 0.762 (95% CI, 0.696-0.828) and 0.738 (95% CI, 0.684-0.792), respectively, in the validation cohort. CONCLUSION A preoperative risk stratification model based on ceMDCT images could be used to predict DFS and thus classify GC cases into various risk levels.
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Zhang Y, Zhang J, Yang L, Huang S. A meta-analysis of the utility of transabdominal ultrasound for evaluation of gastric cancer. Medicine (Baltimore) 2021; 100:e26928. [PMID: 34397938 PMCID: PMC8360412 DOI: 10.1097/md.0000000000026928] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 07/27/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Clinical discovery/staging of gastric cancer (GC) is crucial in designing the treatment strategies and largely decides GC patients' survival. Endoscopic ultrasonography (EUS) and computed tomography (CT) are 2 useful GC diagnosis tools. High doses of radiation associated with CT make its use limited, while the process of EUS is stressful, time-consuming, and challenging. Transabdominal ultrasound (TAUS) is a promising candidate to address these shortcomings. This study aimed to meta-analyze the diagnostic accuracy and sensitivity of TAUS in discriminating between advanced and early GCs, as well as compare its utility with other imaging techniques.Methods: Literature searches were conducted using PubMed, Web of Science, Embase, and Cochrane Library databases up to 2019. Data were analyzed using RevMan software (Cochrane Collaboration, Oxford, UK), and pooled estimates of accuracy, sensitivity, and other features were acquired. Seven papers were eventually selected for meta-analysis. RESULTS TAUS had distinct diagnostic efficacies for early and advanced GC patients. The accuracy and sensitivity were significantly higher in the advanced group. A high color Doppler vascularity index and a lesion larger than 1 cm were 2 features of advanced GC. Moreover, TAUS had a comparable (but slightly higher) accuracy than CT and EUS. CONCLUSIONS TAUS is more accurate and sensitive in diagnosing advanced GC compared to early GC. More features of advanced GC are required to improve the recognition ability. At least, TAUS can be considered as a complementary imaging diagnostic tool to CT and EUS.
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Affiliation(s)
- Yuqin Zhang
- Department of Radiology, Second People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Minhou County, China
| | | | - Liu Yang
- Unimed Scientific Inc., Wuxi, China
| | - Songxiong Huang
- Health Management Center, Second People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, No. 282, Wusi Road, Minhou County, China
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15
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Potential survival benefits of open over laparoscopic radical gastrectomy for gastric cancer patients beyond three years after surgery: result from multicenter in-depth analysis based on propensity matching. Surg Endosc 2021; 36:1456-1465. [PMID: 34085095 PMCID: PMC8758649 DOI: 10.1007/s00464-021-08430-0] [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: 11/07/2020] [Accepted: 03/03/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND The oncologic efficacy of laparoscopic versus open surgery for advanced distal gastric cancer (ADGC) beyond 3 years after surgery remain obscure. METHODS A total of 1256 patients with ADGC at two teaching institutions in China from April 2007 to December 2014 were enrolled. The general data of the two groups were identified to enable rigorous estimation of propensity scores. Restricted mean survival time (RMST) and Landmark analysis was used to compare survival. RESULTS After matching 461 patients each in the open distal gastrectomy (ODG) and laparoscopic distal gastrectomy (LDG) groups, they were included into analysis. The 3- and 5-year overall survival (OS) and disease-free survival were comparable in two groups. RMST-stratified analysis showed that the 3-year RMST of ODG group was similar to that of LDG group in patients with cT4a (- 1.38 years, p = 0.163) or with cT4a and tumor size > 5 cm, whereas the 5-year RMST had significant differences between groups in cT4a patients(- 8.36 years, P = 0.005) or cT4a and tumor size > 5 cm patients(4.67 years, P = 0.042). In patients with cT4a and tumors > 5 cm, the number of peritoneal recurrences was significantly fewer in the ODG group than in the LDG group (4 vs. 17, P = 0.033), and the peritoneal recurrence time and multiple-site recurrence time were both later in the ODG group. CONCLUSION By reducing recurrence, ODG achieves a better survival for GC patients with serous infiltration and tumors larger than 5 cm beyond 3 years after surgery. The present findings can serve as a reference for surgical options and the setting of follow-up time point for clinical studies.
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16
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Ao S, Wang Y, Song Q, Ye Y, Lyu G. Current status and future perspectives on neoadjuvant therapy in gastric cancer. Chin J Cancer Res 2021; 33:181-192. [PMID: 34158738 PMCID: PMC8181872 DOI: 10.21147/j.issn.1000-9604.2021.02.06] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 04/07/2021] [Indexed: 12/12/2022] Open
Abstract
Gastric cancer, with high morbidity and mortality rates, is one of the most heterogeneous tumors. Radical gastrectomy and postoperative chemotherapy are the standard treatments. However, the safety and efficacy of neoadjuvant therapy (NAT) need to be confirmed by many trials before implementation, creating a bottleneck in development. Although clinical benefits of NAT have been observed, a series of problems remain to be solved. Before therapy, more contributing factors should be offered for choice in the intended population and ideal regimens. Enhanced computed tomography (CT) scanning is usually applied to evaluate effectiveness according to Response Evaluation Criteria in Solid Tumors (RECIST), yet CT scanning results sometimes differ from pathological responses. After NAT, the appropriate time for surgery is still empirically defined. Our review aims to discuss the abovementioned issues regarding NAT for GC, including indications, selection of regimens, lesion assessment and NAT-surgery interval time.
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Affiliation(s)
- Sheng Ao
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
- Department of Gastrointestinal Surgery, Peking University People’s Hospital, Beijing 100044, China
| | - Yuchen Wang
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Qingzhi Song
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Yingjiang Ye
- Department of Gastrointestinal Surgery, Peking University People’s Hospital, Beijing 100044, China
| | - Guoqing Lyu
- Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518000, China
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Lin M, Chen QY, Zheng CH, Li P, Xie JW, Wang JB, Lin JX, Huang CM. Effect of Preoperative Tumour Under-Staging on the Long-Term Survival of Patients Undergoing Radical Gastrectomy for Gastric Cancer. Cancer Res Treat 2021; 53:1123-1133. [PMID: 33677846 PMCID: PMC8524019 DOI: 10.4143/crt.2020.651] [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: 07/02/2020] [Accepted: 03/04/2021] [Indexed: 11/21/2022] Open
Abstract
Purpose This study aimed to evaluate the effect of preoperative tumor staging deviation (PTSD) on the long-term survival of patients undergoing radical gastrectomy for gastric cancer (RGGC). Materials and Methods Clinicopathological data of 2,346 patients who underwent RGGC were retrospectively analyzed. The preoperative tumor-lymph node-metastasis (TNM) under-staging group (uTNM) comprised patients who had earlier preoperative TNM than postoperative TNM, and the no preoperative under-staging group (nTNM) comprised the remaining patients. Results There were 1,031 uTNM (44.0%) and 1,315 nTNM cases (56.0%). Cox prognostic analysis revealed that PTSD independently affected the overall survival (OS) after surgery. The 5-year OS was lower in the uTNM group (41.8%) than in the nTNM group (71.6%). The patients less than 65 years old, with lower American Society of Anaesthesiologists score, 2–5 cm tumor located at the lower stomach, and cT1 or cN0 preoperative staging would more likely undergo D1+ lymph node dissection (LND) in uTNM (p < 0.05). Logistic analyses revealed that tumor size > 2 cm and body mass index ≤ 22.72 kg/m2 were independent risk factors of preoperative TNM tumor under-staging in patients with cT1N0M0 staging (p < 0.05). Conclusion Underestimated tumor staging is not rare, which possibly results in inadequate LND and affects the long-term survival for patients undergoing RGGC. D2 LND should be carefully performed in patients who are predisposed to this underestimation.
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Affiliation(s)
- Mi Lin
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Qi-Yue Chen
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Chao-Hui Zheng
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Ping Li
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Jian-Wei Xie
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Jia-Bin Wang
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Jian-Xian Lin
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Chang-Ming Huang
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.,Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China
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Zhang Z, Zheng B, Chen W, Xiong H, Jiang C. Accuracy of 18F-FDG PET/CT and CECT for primary staging and diagnosis of recurrent gastric cancer: A meta-analysis. Exp Ther Med 2021; 21:164. [PMID: 33456531 PMCID: PMC7792481 DOI: 10.3892/etm.2020.9595] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 10/08/2020] [Indexed: 02/06/2023] Open
Abstract
Contrast-enhanced computed tomography (CECT) is commonly used for staging and diagnosing recurrent gastric cancer. Recently, 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)/CT gained popularity as a diagnostic tool owing to advantages including dual functional and anatomical imaging, which may facilitate early diagnosis. The diagnostic performance of 18F-FDG PET/CT and CECT has been assessed in several studies but with variable results. Therefore, the present meta-analysis aimed to evaluate the accuracy of 18F-FDG PET/CT and CECT for primary TNM staging and the diagnosis of recurrent gastric cancers. A systematic search of the PubMed Central, Medline, Scopus, Cochrane and Embase databases from inception until January 2020 was performed. The Quality Assessment of Diagnostic Accuracy Study-2 tool was used to determine the quality of the selected studies. Pooled estimates of sensitivity and specificity were calculated. A total of 58 studies comprising 9,997 patients were included. Most studies had a low risk of bias. The sensitivity and specificity for nodal staging of gastric cancer were 49% (95% CI, 37-61%) and 92% (95% CI, 86-96%) for 18F-FDG PET/CT, respectively, and 67% (95% CI, 57-76%) and 86% (95% CI, 81-89%) for CECT, respectively. For metastasis staging, the sensitivity and specificity were 56% (95% CI, 40-71%) and 97% (95% CI, 87-99%) for 18F-FDG PET/CT, respectively, and 59% (95% CI, 41-75%) and 96% (95% CI, 83-99%) for CECT, respectively. For diagnosing cancer recurrence, the pooled sensitivity and specificity were 81% (95% CI, 72-88%) and 83% (95% CI, 74-89%) for 18F-FDG PET/CT, respectively, and 59% (95% CI, 41-75%) and 96% (95% CI, 83-99%) for CECT, respectively. Both 18F-FDG PET/CT and CECT were deemed highly useful for diagnosing recurrent gastric cancer due to their high sensitivities and specificities. However, these techniques cannot be used to exclude or confirm the presence of lymph node metastases or recurrent gastric cancer tumors, but can be used for the confirmation of distal metastasis.
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Affiliation(s)
- Zhicheng Zhang
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Bo Zheng
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Wei Chen
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Hui Xiong
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
| | - Caiming Jiang
- Department of Radiology, The Ninth People's Hospital of Chongqing, Chongqing 400700, P.R. China
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Endoscopic Ultrasound vs. Computed Tomography for Gastric Cancer Staging: A Network Meta-Analysis. Diagnostics (Basel) 2021; 11:diagnostics11010134. [PMID: 33467164 PMCID: PMC7829791 DOI: 10.3390/diagnostics11010134] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/14/2021] [Accepted: 01/14/2021] [Indexed: 12/19/2022] Open
Abstract
Gastric cancer preoperative staging is of outmost importance to assure proper management of the disease. Providing a relevant clinical stage relies on different imaging methods such as computed tomography (CT) or endoscopic ultrasound (EUS). We aimed to perform a network meta-analysis for gastric cancer clinical stage diagnostic tests, thus comparing the diagnostic accuracy of EUS vs. multidetector CT (MDCT) and EUS vs. EUS + MDCT. We plotted study estimates of pooled sensitivity and specificity on forest plots and summary receiver operating characteristic space to explore between-study variation in the performance of EUS, MDCT and EUS + MDCT for T1–T4, N0–N3, M0–M1 when data were available. Exploratory analyses were undertaken in RevMan 5. We included twelve studies with 2047 patients. Our results suggest that EUS was superior to MDCT in preoperative T1 and N staging. MDCT is more specific for the M stage but no significant difference in sensitivity was obtained. When comparing EUS vs. EUS + MDCT for T1 both sensitivity and specificity were not relevant. No significant differences were observed in T2–T4 stages. Even though EUS helped differentiate between the presence of invaded nodules, N stages should be carefully assessed by both methods since there is not sufficient data.
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Soydan L, Demir AA, Torun M, Cikrikcioglu MA. Use of Diffusion-Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient in Gastric Cancer Staging. Curr Med Imaging 2021; 16:1278-1289. [PMID: 32108000 DOI: 10.2174/1573405616666200218124926] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 01/08/2020] [Accepted: 01/23/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND The apparent diffusion coefficient (ADC), the quantitative parameter of diffusion-weighted magnetic resonance imaging (DW-MRI), is a measure for this restricted diffusion, and its role in gastric cancer (GC) including distinguishing malignant segments from healthy gastric wall, metastatic perigastric lymph nodes from benign nodes and evaluating response of GC to neoadjuvant chemotherapy has been investigated in previous studies. Evidence suggests that ADC may also be of help in assessment of aggressiveness and preoperative staging of gastric cancer, which needs to be explored in further studies. OBJECTIVE To investigate the role of DW-MRI and its quantitative parameter, ADC in staging of gastric cancer. METHODS Forty-six patients (28 male, 18 female, mean age 62 years) with non-metastatic biopsy- proven GC who underwent abdominal DW-MRI before surgery were included in this retrospective study. Tumor invasion depth (T-stage) and nodal involvement (N-stage) were evaluated using signal increase on DW-MRI, and tumor ADC was measured. Diagnostic performance of these results was assessed by comparing them with postsurgical histopathology based on 8th TNM classification. RESULTS Sensitivity, specificity, and accuracy of DW-MRI in T-staging were 92.1%, 75%, 89.1% for ≤T2 vs. ≥T3; and 75%, 88.5%, 82.6% for ≤T3 vs. T4. However, sensitivity, specificity, and accuracy of DW-MRI in N-staging were 89.3%, 88.9%, 89.1% for ≤N1 vs. ≥N2; and 73.7%, 96.3%, 86.9% for ≤N2 vs. N3, respectively. Relative preoperative ADC values correlated with pT staging (r=-0.397, p=0.006). There was also a statistically significant difference of relative ADC values between ≤T3 and T4 stages, and a cut-off of 0.64 s/mm2 could differentiate these stages with an odds ratio of 7.714 (95% confidence interval, 1.479-40.243). The area under the receiver operating characteristic curve for differentiating ≤T3 and T4 stages was 0.725. CONCLUSION DW-MRI may contribute to the clinical staging of non-metastatic GC. In particular, relative ADC of DW-MRI can distinguish T4 gastric cancer from less advanced T-stages.
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Affiliation(s)
- Levent Soydan
- Department of Radiology, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey
| | - Ali Aslan Demir
- Department of Radiology, Fulya Imaging Center, Istanbul, Turkey
| | - Mehmet Torun
- Department of Surgery, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey
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Wang S, Feng C, Dong D, Li H, Zhou J, Ye Y, Liu Z, Tian J, Wang Y. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study. Med Phys 2020; 47:4862-4871. [PMID: 32592224 DOI: 10.1002/mp.14350] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/24/2020] [Accepted: 06/17/2020] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Preoperative and noninvasive prognosis evaluation remains challenging for gastric cancer. Novel preoperative prognostic biomarkers should be investigated. This study aimed to develop multidetector-row computed tomography (MDCT)-guided prognostic models to direct follow-up strategy and improve prognosis. METHODS A retrospective dataset of 353 gastric cancer patients were enrolled from two centers and allocated to three cohorts: training cohort (n = 166), internal validation cohort (n = 83), and external validation cohort (n = 104). Quantitative radiomic features were extracted from MDCT images. The least absolute shrinkage and selection operator penalized Cox regression was adopted to construct a radiomic signature. A radiomic nomogram was established by integrating the radiomic signature and significant clinical risk factors. We also built a preoperative tumor-node-metastasis staging model for comparison. All models were evaluated considering the abilities of risk stratification, discrimination, calibration, and clinical use. RESULTS In the two validation cohorts, the established four-feature radiomic signature showed robust risk stratification power (P = 0.0260 and 0.0003, log-rank test). The radiomic nomogram incorporated radiomic signature, extramural vessel invasion, clinical T stage, and clinical N stage, outperforming all the other models (concordance index = 0.720 and 0.727) with good calibration and decision benefits. Also, the 2-yr disease-free survival (DFS) prediction was most effective (time-dependent area under curve = 0.771 and 0.765). Moreover, subgroup analysis indicated that the radiomic signature was more sensitive in risk stratifying patients with advanced clinical T/N stage. CONCLUSIONS The proposed MDCT-guided radiomic signature was verified as a prognostic factor for gastric cancer. The radiomic nomogram was a noninvasive auxiliary model for preoperative individualized DFS prediction, holding potential in promoting treatment strategy and clinical prognosis.
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Affiliation(s)
- Siwen Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Caizhen Feng
- Department of Radiology, Peking University People's Hospital, Beijing, 100044, China
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hailin Li
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jing Zhou
- Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Yingjiang Ye
- Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Zaiyi Liu
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China
| | - Yi Wang
- Department of Radiology, Peking University People's Hospital, Beijing, 100044, China
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22
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De Cobelli F, Palumbo D, Albarello L, Rosati R, Giganti F. Esophagus and Stomach: Is There a Role for MR Imaging? Magn Reson Imaging Clin N Am 2020; 28:1-15. [PMID: 31753229 DOI: 10.1016/j.mric.2019.08.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
MR imaging has been increasingly used in the diagnostic work-up of benign and malignant conditions of the gastroesophageal tract. The use of an adequate MR imaging protocol is crucial, although standardization of imaging studies is still far from being implemented. Research on MR imaging-based biomarkers show promising results in assessing tumor aggressiveness and prognosis, and in the evaluation of response to treatment, both in esophageal and gastric cancers.
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Affiliation(s)
- Francesco De Cobelli
- Department of Radiology, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
| | - Diego Palumbo
- Department of Radiology, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Luca Albarello
- Vita-Salute San Raffaele University, Milan, Italy; Department of Pathology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Riccardo Rosati
- Vita-Salute San Raffaele University, Milan, Italy; Department of Gastrointestinal Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK; Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, 3(rd) Floor, Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK
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23
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Wang S, Sun S, Liu X, Ge N, Wang G, Guo J, Liu W, Hu J. Endoscopic diagnosis of gastrointestinal melanoma. Scand J Gastroenterol 2020; 55:330-337. [PMID: 32191553 DOI: 10.1080/00365521.2020.1734074] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Background: Gastrointestinal (GI) melanoma can be diagnosed by endoscopy combined with biopsy and subsequent pathological examination. However, the disease may be misdiagnosed due to the limited awareness of GI melanoma.Objective: We aimed to describe characteristics of GI melanoma that can be detected by endoscopy and endoscopic ultrasound (EUS).Methods: We retrospectively analyzed patients with GI melanoma diagnosed by endoscopic biopsy or postoperative pathology between August 2008 and January 2017. Images of endoscopic examinations, including endoscopy and EUS, were reviewed to characterize GI melanomas.Results: A total of 21 patients (9 males, 12 females) with GI melanoma were enrolled in this study. Several types of melanoma were identified: anorectal melanoma (n = 15), esophageal melanoma (n = 3), gastric melanoma (n = 2), and melanoma of the small intestine (n = 1). EUS was performed for one case of esophageal melanoma, one case of gastric melanoma, and seven cases of anorectal melanoma.Conclusions: GI melanoma is a rare disease. Most GI melanomas showed typical endoscopic manifestations, including black plaques. EUS is a reliable tool for evaluating the depth of infiltration of GI melanoma.
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Affiliation(s)
- Sheng Wang
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Siyu Sun
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Xiang Liu
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Nan Ge
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Guoxin Wang
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Jintao Guo
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Wen Liu
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Jinlong Hu
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
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24
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Yuan Y, Chen L, Ren S, Wang Z, Chen Y, Jin A, Li S, Fang X, Wang T, Bian Y, Yang Q, Bai C, Hao Q, Lu J. Diagnostic performance in T staging for patients with esophagogastric junction cancer using high-resolution MRI: a comparison with conventional MRI at 3 tesla. Cancer Imaging 2019; 19:83. [PMID: 31801587 PMCID: PMC6894201 DOI: 10.1186/s40644-019-0269-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 11/22/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND To investigate and compare the diagnostic performance in T staging for patients with esophagogastric junction cancer using high-resolution magnetic resonance imaging (HR MRI), as compared with conventional MRI at 3 Tesla. METHODS A total of 118 patients with pathologically confirmed esophagogastric junction cancer were included and underwent multiparameter HR MRI (Cohort 1, 62 patients) or conventional MRI (Cohort 2, 56 patients). T2-weighted, T1-weighted, diffusion-weighted and contrast-enhanced T1-weighted images of each patient were evaluated by two radiologists who determined the preoperative T staging by consensus. Using pathologic staging as the gold standard, the consistency between HR MRI and pathology and between conventional MRI and pathology in T staging was calculated and compared. The overall accuracy, overstatement and understatement of HR MRI and conventional MRI in T staging of patients with esophagogastric junction cancer were computed and compared. Moreover, the diagnostic performance of HR MRI and conventional MRI in T staging (≤ T1 and ≥ T4) of patients with esophagogastric junction cancer were evaluated. RESULTS There were no significant differences in age (p = 0.465) and sex (p = 0.175) between Cohorts 1 and 2. Excellent agreement was observed in the T staging of patients with esophagogastric junction cancer between pathology and HR MRI (kappa = 0.813), while moderate agreement was observed between pathology and conventional MRI (kappa = 0.486). Significant differences were observed in overall accuracy (88.7% vs 64.3%, p = 0.002) and understatement (1.6% vs 26.8%, p < 0.001) but not for overstatement (9.7% vs 8.9%, p = 0.889) in T staging between HR MRI and conventional MRI techniques. For differentiating the T stages of ≤ T1 from ≥ T2 and the T stages of ≤ T3 from ≥ T4, no significant differences were observed between the imaging techniques. CONCLUSIONS HR MRI has good diagnostic performance and may serve as an alternative technique in the T staging of patients with esophagogastric junction cancer in clinical practice.
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Affiliation(s)
- Yuan Yuan
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Shengnan Ren
- Department of Nuclear medicine, Changhai Hospital of Shanghai, Shanghai, China
| | - Zhen Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Yukun Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Aiguo Jin
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Shuai Li
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Xu Fang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Tiegong Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Yun Bian
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Qingsong Yang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Chenguang Bai
- Department of Pathology, Changhai Hospital of Shanghai, Shanghai, China
| | - Qiang Hao
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
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25
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Chen W, Wang S, Dong D, Gao X, Zhou K, Li J, Lv B, Li H, Wu X, Fang M, Tian J, Xu M. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics. Front Oncol 2019; 9:1265. [PMID: 31824847 PMCID: PMC6883384 DOI: 10.3389/fonc.2019.01265] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 11/01/2019] [Indexed: 12/14/2022] Open
Abstract
Objective: To develop and evaluate a diffusion-weighted imaging (DWI)-based radiomic nomogram for lymph node metastasis (LNM) prediction in advanced gastric cancer (AGC) patients. Overall Study: This retrospective study was conducted with 146 consecutively included pathologically confirmed AGC patients from two centers. All patients underwent preoperative 3.0 T magnetic resonance imaging (MRI) examination. The dataset was allocated to a training cohort (n = 71) and an internal validation cohort (n = 47) from one center along with an external validation cohort (n = 28) from another. A summary of 1,305 radiomic features were extracted per patient. The least absolute shrinkage and selection operator (LASSO) logistic regression and learning vector quantization (LVQ) methods with cross-validations were adopted to select significant features in a radiomic signature. Combining the radiomic signature and independent clinical factors, a radiomic nomogram was established. The MRI-reported N staging and the MRI-derived model were built for comparison. Model performance was evaluated considering receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA). Results: A two-feature radiomic signature was found significantly associated with LNM (p < 0.01, training and internal validation cohorts). A radiomic nomogram was established by incorporating the clinical minimum apparent diffusion coefficient (ADC) and MRI-reported N staging. The radiomic nomogram showed a favorable classification ability with an area under ROC curve of 0.850 [95% confidence interval (CI), 0.758–0.942] in the training cohort, which was then confirmed with an AUC of 0.857 (95% CI, 0.714–1.000) in internal validation cohort and 0.878 (95% CI, 0.696–1.000) in external validation cohort. Meanwhile, the specificity, sensitivity, and accuracy were 0.846, 0.853, and 0.851 in internal validation cohort, and 0.714, 0.952, and 0.893 in external validation cohort, compensating for the MRI-reported N staging and MRI-derived model. DCA demonstrated good clinical use of radiomic nomogram. Conclusions: This study put forward a DWI-based radiomic nomogram incorporating the radiomic signature, minimum ADC, and MRI-reported N staging for individualized preoperative detection of LNM in patients with AGC.
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Affiliation(s)
- Wujie Chen
- First College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Siwen Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xuning Gao
- First College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Kefeng Zhou
- First College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiaying Li
- First College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Bin Lv
- First College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Hailin Li
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xiangjun Wu
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Mengjie Fang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, China
| | - Maosheng Xu
- First College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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26
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Chen J, Zhou C, He M, Zhen Z, Wang J, Hu X. A Meta-Analysis And Systematic Review Of Accuracy Of Endoscopic Ultrasound For N Staging Of Gastric Cancers. Cancer Manag Res 2019; 11:8755-8764. [PMID: 31632135 PMCID: PMC6774993 DOI: 10.2147/cmar.s200318] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 09/12/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Endoscopic ultrasonography (EUS) is widely used as a staging modality for gastric cancer. However, the results of studies on the use of EUS for N staging in gastric cancer vary. This study aimed at studying the overall diagnostic accuracy of EUS for N staging of gastric cancer. METHODS Published studies were identified through searching the MEDLINE, Web of Science, EMBASE, SpringerLink and ScienceDirect databases. A bivariate random effect model was used to estimate the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). A hierarchical summary receiver operating characteristic curves (HSROC) based on the pooled data was also computed. RESULTS Fifty studies (5223 patients) were included in this analysis. The pooled sensitivity, specificity, PLR, NLR and DOR of EUS for N staging were 0.82 (95% CI 0.78 to 0.85), 0.68 (0.63 to 0.73), 2.6 (2.2 to 3.0), 0.27 (0.22 to 0.32), and 10 (8 to 12), respectively. The area under the HSROC was 0.83. CONCLUSION The EUS may provide a clinically useful tool to guide physicians in the N staging of gastric cancer. However, physicians must note that the EUS has a relatively low specificity.
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Affiliation(s)
- Jiafei Chen
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Chaoyang Zhou
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Min He
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Zhiming Zhen
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Jie Wang
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Xiaofei Hu
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
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27
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Tang L, Wang XJ, Baba H, Giganti F. Gastric cancer and image-derived quantitative parameters: Part 2-a critical review of DCE-MRI and 18F-FDG PET/CT findings. Eur Radiol 2019; 30:247-260. [PMID: 31392480 PMCID: PMC6890619 DOI: 10.1007/s00330-019-06370-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/31/2019] [Accepted: 07/12/2019] [Indexed: 12/13/2022]
Abstract
Abstract There is yet no consensus on the application of functional imaging and qualitative image interpretation in the management of gastric cancer. In this second part, we will discuss the role of image-derived quantitative parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in gastric cancer, as both techniques have been shown to be promising and useful tools in the clinical decision making of this disease. We will focus on different aspects including aggressiveness assessment, staging and Lauren type discrimination, prognosis prediction and response evaluation. Although both the number of articles and the patients enrolled in the studies were rather small, there is evidence that quantitative parameters from DCE-MRI such as Ktrans, Ve, Kep and AUC could be promising image-derived surrogate parameters for the management of gastric cancer. Data from 18F-FDG PET/CT studies showed that standardised uptake value (SUV) is significantly associated with the aggressiveness, treatment response and prognosis of this disease. Along with the results from diffusion-weighted MRI and contrast-enhanced multidetector computed tomography presented in Part 1 of this critical review, there are additional image-derived quantitative parameters from DCE-MRI and 18F-FDG PET/CT that hold promise as effective tools in the diagnostic pathway of gastric cancer. Key Points • Quantitative analysis from DCE-MRI and18F-FDG PET/CT allows the extrapolation of multiple image-derived parameters. • Data from DCE-MRI (Ktrans, Ve, Kep and AUC) and 18F-FDG PET/CT (SUV) are non-invasive, quantitative image-derived parameters that hold promise in the evaluation of the aggressiveness, treatment response and prognosis of gastric cancer.
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Affiliation(s)
- Lei Tang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital, Beijing, China
| | - Xue-Juan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Nuclear Medicine, Peking University Cancer Hospital, Beijing, China
| | - Hideo Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK. .,Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, 3rd Floor, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
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28
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Borggreve AS, Goense L, Brenkman HJF, Mook S, Meijer GJ, Wessels FJ, Verheij M, Jansen EPM, van Hillegersberg R, van Rossum PSN, Ruurda JP. Imaging strategies in the management of gastric cancer: current role and future potential of MRI. Br J Radiol 2019; 92:20181044. [PMID: 30789792 DOI: 10.1259/bjr.20181044] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Accurate preoperative staging of gastric cancer and the assessment of tumor response to neoadjuvant treatment is of importance for treatment and prognosis. Current imaging techniques, mainly endoscopic ultrasonography (EUS), computed tomography (CT) and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), have their limitations. Historically, the role of magnetic resonance imaging (MRI) in gastric cancer has been limited, but with the continuous technical improvements, MRI has become a more potent imaging technique for gastrointestinal malignancies. The accuracy of MRI for T- and N-staging of gastric cancer is similar to EUS and CT, making MRI a suitable alternative to other imaging strategies. There is limited evidence on the performance of MRI for M-staging of gastric cancer specifically, but MRI is widely used for diagnosing liver metastases and shows potential for diagnosing peritoneal seeding. Recent pilot studies showed that treatment response assessment as well as detection of lymph node metastases and systemic disease might benefit from functional MRI (e.g. diffusion weighted imaging and dynamic contrast enhancement). Regarding treatment guidance, additional value of MRI might be expected from its role in better defining clinical target volumes and setup verification with MR-guided radiation treatment.
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Affiliation(s)
- Alicia S Borggreve
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands.,2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Lucas Goense
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands.,2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Hylke J F Brenkman
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Stella Mook
- 2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Gert J Meijer
- 2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Frank J Wessels
- 3 Department of Radiology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Marcel Verheij
- 4 Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek (NKI-AVL) , Amsterdam , Netherlands
| | - Edwin P M Jansen
- 4 Department of Radiation Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek (NKI-AVL) , Amsterdam , Netherlands
| | - Richard van Hillegersberg
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Peter S N van Rossum
- 2 Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
| | - Jelle P Ruurda
- 1 Department of Surgery, University Medical Center Utrecht, Utrecht University , Utrecht , Netherlands
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29
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Giganti F, Tang L, Baba H. Gastric cancer and imaging biomarkers: Part 1 - a critical review of DW-MRI and CE-MDCT findings. Eur Radiol 2018; 29:1743-1753. [PMID: 30280246 PMCID: PMC6420485 DOI: 10.1007/s00330-018-5732-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Revised: 08/13/2018] [Accepted: 08/28/2018] [Indexed: 12/17/2022]
Abstract
Abstract The current standard of care for gastric cancer imaging includes heterogeneity in image acquisition techniques and qualitative image interpretation. In addition to qualitative assessment, several imaging techniques, including diffusion-weighted magnetic resonance imaging (DW-MRI), contrast-enhanced multidetector computed tomography (CE-MDCT), dynamic-contrast enhanced MRI and 18F-fluorodeoxyglucose positron emission tomography, can allow quantitative analysis. However, so far there is no consensus regarding the application of functional imaging in the management of gastric cancer. The aim of this article is to specifically review two promising biomarkers for gastric cancer with reasonable spatial resolution: the apparent diffusion coefficient (ADC) from DW-MRI and textural features from CE-MDCT. We searched MEDLINE/ PubMed for manuscripts published from inception to 6 February 2018. Initially, we searched for (gastric cancer OR gastric tumour) AND diffusion weighted magnetic resonance imaging. Then, we searched for (gastric cancer OR gastric tumour) AND texture analysis AND computed tomography. We collated the results from the studies related to this query. There is evidence that: (1) the ADC is a promising biomarker for the evaluation of the aggressiveness (T and N stage), treatment response and prognosis of gastric cancer; (2) textural features are related to the degree of differentiation, Lauren classification, treatment response and prognosis of gastric cancer. We conclude that these imaging biomarkers hold promise as effective additional tools in the diagnostic pathway of gastric cancer and may facilitate the multidisciplinary work between the radiologist and clinician, and across different institutions, to provide a greater biological understanding of gastric cancer. Key Points • Quantitative imaging is the extraction of quantifiable features from medical images for the assessment of normal or pathological conditions and represents a promising area for gastric cancer. • Quantitative analysis from CE-MDCT and DW-MRI allows the extrapolation of multiple imaging biomarkers. • ADC from DW-MRI and CE- MDCT-based texture features are non-invasive, quantitative imaging biomarkers that hold promise in the evaluation of the aggressiveness, treatment response and prognosis of gastric cancer.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK. .,Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St, London, W1W 7TS, UK.
| | - Lei Tang
- Department of Radiology, Peking University Cancer Hospital, Beijing, China
| | - Hideo Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
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30
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CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers. Sci Rep 2018; 8:11844. [PMID: 30087428 PMCID: PMC6081398 DOI: 10.1038/s41598-018-30352-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 07/27/2018] [Indexed: 02/06/2023] Open
Abstract
To investigate the ability of CT texture analysis to assess and predict the expression statuses of E-cadherin, Ki67, VEGFR2 and EGFR in gastric cancers, the enhanced CT images of 139 patients with gastric cancer were retrospectively reviewed. The region of interest was manually drawn along the margin of the lesion on the largest slice in the arterial and venous phases, which yielded a series of texture parameters. Our results showed that the standard deviation, width, entropy, entropy (H), correlation and contrast from the arterial and venous phases were significantly correlated with the E-cadherin expression level in gastric cancers (all P < 0.05). The skewness from the arterial phase and the mean and autocorrelation from the venous phase were negatively correlated with the Ki67 expression level in gastric cancers (all P < 0.05). The width, entropy and contrast from the venous phase were positively correlated with the VEGFR2 expression level in gastric cancers (all P < 0.05). No significant correlation was found between the texture features and EGFR expression level. CT texture analysis, which had areas under the receiver operating characteristic curve (AUCs) ranging from 0.612 to 0.715, holds promise in predicting E-cadherin, Ki67 and VEGFR2 expression levels in gastric cancers.
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Label-free imaging for T staging of gastric carcinoma by multiphoton microscopy. Lasers Med Sci 2018; 33:871-882. [DOI: 10.1007/s10103-018-2442-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2017] [Accepted: 01/08/2018] [Indexed: 12/17/2022]
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Strong VE, Russo A, Yoon SS, Brennan MF, Coit DG, Zheng CH, Li P, Huang CM. Comparison of Young Patients with Gastric Cancer in the United States and China. Ann Surg Oncol 2017; 24:3964-3971. [DOI: 10.1245/s10434-017-6073-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
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Comparison of DWI and 18F-FDG PET/CT for assessing preoperative N-staging in gastric cancer: evidence from a meta-analysis. Oncotarget 2017; 8:84473-84488. [PMID: 29137440 PMCID: PMC5663612 DOI: 10.18632/oncotarget.21055] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 09/08/2017] [Indexed: 12/18/2022] Open
Abstract
The diagnostic values of diffusion weighted imaging (DWI) and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for N-staging of gastric cancer (GC) were identified and compared. After a systematic search to identify relevant articles, meta-analysis was used to summarize the sensitivities, specificities, and areas under curves (AUCs) for DWI and PET/CT. To better understand the diagnostic utility of DWI and PET/CT for N-staging, the performance of multi-detector computed tomography (MDCT) was used as a reference. Fifteen studies were analyzed. The pooled sensitivity, specificity, and AUC with 95% confidence intervals of DWI were 0.79 (0.73–0.85), 0.69 (0.61–0.77), and 0.81 (0.77–0.84), respectively. For PET/CT, the corresponding values were 0.52 (0.39–0.64), 0.88 (0.61–0.97), and 0.66 (0.62–0.70), respectively. Comparison of the two techniques revealed DWI had higher sensitivity and AUC, but no difference in specificity. DWI exhibited higher sensitivity but lower specificity than MDCT, and 18F-FDG PET/CT had lower sensitivity and equivalent specificity. Overall, DWI performed better than 18F-FDG PET/CT for preoperative N-staging in GC. When the efficacy of MDCT was taken as a reference, DWI represented a complementary imaging technique, while 18F-FDG PET/CT had limited utility for preoperative N-staging.
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Luo M, Lv Y, Guo X, Song H, Su G, Chen B. Value and impact factors of multidetector computed tomography in diagnosis of preoperative lymph node metastasis in gastric cancer: A PRISMA-compliant systematic review and meta-analysis. Medicine (Baltimore) 2017; 96:e7769. [PMID: 28816957 PMCID: PMC5571694 DOI: 10.1097/md.0000000000007769] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Multidetector computed tomography (MDCT) exhibited wide ranges of sensitivities and specificities for lymph node assessment of gastric cancer (GC) in several individual studies. This present meta-analysis was carried out to evaluate the value of MDCT in diagnosis of preoperative lymph node metastasis (LNM) and to explore the impact factors that might explain the heterogeneity of its diagnostic accuracy in GC. METHODS A comprehensive search was conducted to collect all the relevant studies about the value of MDCT in assessing LNM of GC within the PubMed, Cochrane library and Embase databases up to Feb 2, 2016. Two investigators independently screened the studies, extracted data, and evaluated the quality of included studies. The sensitivity, specificity, and area under ROC curve (AUC) were pooled to estimate the overall accuracy of MDCT. Meta-regression and subgroup analysis were carried out to identify the possible factors influencing the heterogeneity of the accuracy. RESULTS A total of 27 studies with 6519 subjects were finally included. Overall, the pooled sensitivity, specificity, and AUC were 0.67 (95% CI: 0.56-0.77), 0.86 (95% CI: 0.81-0.90), and 0.86 (95% CI: 0.83-0.89), respectively. Meta-regression revealed that MDCT section thickness, proportion of serosal invasion, and publication year were the main significant impact factors in sensitivity, and MDCT section thickness, multiplanar reformation (MPR), and reference standard were the main significant impact factors in specificity. After the included studies were divided into 2 groups (Group A: studies with proportion of serosa-invasive GC subjects ≥50%; Group B: studies with proportion of serosa-invasive GC subjects <50%), the pooled sensitivity in Group A was significantly higher than in Group B (0.84 [95% CI: 0.75-0.90] vs 0.55 [95% CI: 0.41-0.68], P < .01). For early gastric cancer (EGC), the pooled sensitivity, specificity, and AUC were 0.34 (95% CI: 0.15-0.61), 0.91 (95% CI: 0.84-0.95), and 0.83 (95% CI: 0.80-0.86), respectively. CONCLUSION To summarize, MDCT tends to be adequate to assess preoperative LNM in serosa-invasive GC, but insufficient for non-serosa-invasive GC (particularly for EGC) owing to its low sensitivity. Proportion of serosa-invasive GC subjects, MDCT section thickness, MPR, and reference standard are the main factors influencing its diagnostic accuracy.
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Affiliation(s)
- Mingxu Luo
- Department of Gastrointestinal Surgery, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian
| | - You Lv
- Department of Gastrointestinal Surgery, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian
| | - Xiuyu Guo
- Department of Radiology, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian
| | - Hongmei Song
- Department of Oncology, Renmin Hospital of Shiyan, Hubei University of Medicine, Shiyan, Hubei, China
| | - Guoqiang Su
- Department of Gastrointestinal Surgery, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian
| | - Bo Chen
- Department of Gastrointestinal Surgery, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian
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Liu S, Zhang Y, Xia J, Chen L, Guan W, Guan Y, Ge Y, He J, Zhou Z. Predicting the nodal status in gastric cancers: The role of apparent diffusion coefficient histogram characteristic analysis. Magn Reson Imaging 2017; 42:144-151. [PMID: 28734955 DOI: 10.1016/j.mri.2017.07.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 07/08/2017] [Accepted: 07/13/2017] [Indexed: 02/07/2023]
Abstract
PURPOSE To explore the application of histogram analysis in preoperative T and N staging of gastric cancers, with a focus on characteristic parameters of apparent diffusion coefficient (ADC) maps. MATERIALS AND METHODS Eighty-seven patients with gastric cancers underwent diffusion weighted magnetic resonance imaging (b=0, 1000s/mm2), which generated ADC maps. Whole-volume histogram analysis was performed on ADC maps and 7 characteristic parameters were obtained. All those patients underwent surgery and postoperative pathologic T and N stages were determined. RESULTS Four parameters, including skew, kurtosis, s-sDav and sample number, showed significant differences among gastric cancers at different T and N stages. Most parameters correlated with T and N stages significantly and worked in differentiating gastric cancers at different T or N stages. Especially skew yielded a sensitivity of 0.758, a specificity of 0.810, and an area under the curve (AUC) of 0.802 for differentiating gastric cancers with and without lymph node metastasis (P<0.001). All the parameters, except AUClow, showed good or excellent inter-observer agreement with intra-class correlation coefficients ranging from 0.710 to 0.991. CONCLUSION Characteristic parameters derived from whole-volume ADC histogram analysis could help assessing preoperative T and N stages of gastric cancers.
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Affiliation(s)
- Song Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Yujuan Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Jie Xia
- Department of Oncology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Ling Chen
- Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Wenxian Guan
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Yue Guan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210046, China
| | - Yun Ge
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210046, China.
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
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Li CF, Zheng J, Xue YW. The value of contrast-enhanced computed tomography in predicting gastric cancer recurrence and metastasis. Cancer Biomark 2017; 19:327-333. [PMID: 28482620 DOI: 10.3233/cbm-160528] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Chun-Feng Li
- A Gastrointestinal Surgical Ward, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China
- A Gastrointestinal Surgical Ward, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China
| | - Jian Zheng
- A Gastrointestinal Surgical Ward, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China
- A Gastrointestinal Surgical Ward, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China
| | - Ying-Wei Xue
- Department of Diagnostic Radiology, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China
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Nie RC, Yuan SQ, Chen XJ, Chen S, Xu LP, Chen YM, Zhu BY, Sun XW, Zhou ZW, Chen YB. Endoscopic ultrasonography compared with multidetector computed tomography for the preoperative staging of gastric cancer: a meta-analysis. World J Surg Oncol 2017; 15:113. [PMID: 28577563 PMCID: PMC5457601 DOI: 10.1186/s12957-017-1176-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 05/22/2017] [Indexed: 02/07/2023] Open
Abstract
Background The current study sought to perform a meta-analysis to compare the preoperative staging of endoscopic ultrasonography (EUS) and multidetector computed tomography (MDCT) in gastric carcinoma. Methods Articles published between January 1, 2000, and April 1, 2016, that compared EUS with MDCT were included, and data were presented as 2 × 2 tables. The sensitivities, specificities and summary receiver operating characteristic (ROC) curves for T and N staging were calculated using a bivariate mixed effects model. Data were weighted by generic variance and then pooled by random-effects modeling. Results Eight studies comprising 1736 patients were included in this meta-analysis. For T1 staging, the sensitivity value for EUS (82%) was significantly higher than that for MDCT (41%) (relative risk (RR): 2.06, 95% confidence interval (CI) 1.07–3.94; P = 0.030). For lymph node involvement, the sensitivity value for EUS (91%) was also significantly higher than that for MDCT (77%) (RR 1.14, 95% CI 1.05–1.23; P = 0.001). However, the specificity values of both EUS and MDCT were quite low, at 49 and 63%, respectively. No significant differences in T2–4 staging between EUS and MDCT were noted. Conclusion This meta-analysis indicates that EUS may be superior to MDCT in preoperative T1 and N staging. Additionally, the low specificity values of EUS and MDCT for N staging merits attention.
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Affiliation(s)
- Run-Cong Nie
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Shu-Qiang Yuan
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Xiao-Jiang Chen
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Shi Chen
- Department of Gastric Surgery, The 6th Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Li-Pu Xu
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Yong-Ming Chen
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Bao-Yan Zhu
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Xiao-Wei Sun
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Zhi-Wei Zhou
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China
| | - Ying-Bo Chen
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 E Dongfeng Road, Guangzhou, Guangdong, 510060, China.
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Giganti F, Marra P, Ambrosi A, Salerno A, Antunes S, Chiari D, Orsenigo E, Esposito A, Mazza E, Albarello L, Nicoletti R, Staudacher C, Del Maschio A, De Cobelli F. Pre-treatment MDCT-based texture analysis for therapy response prediction in gastric cancer: Comparison with tumour regression grade at final histology. Eur J Radiol 2017; 90:129-137. [PMID: 28583623 DOI: 10.1016/j.ejrad.2017.02.043] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 02/25/2017] [Accepted: 02/27/2017] [Indexed: 02/07/2023]
Abstract
PURPOSE An accurate prediction of tumour response to therapy is fundamental in oncology, so as to prompt personalised treatment options if needed. The aim of this study was to investigate the ability of preoperative texture analysis from multi-detector computed tomography (MDCT) in the prediction of the response rate to neo-adjuvant therapy in patients with gastric cancer. MATERIAL AND METHODS Thirty-four patients with biopsy-proven gastric cancer were examined by MDCT before neo-adjuvant therapy, and treated with radical surgery after treatment completion. Tumour regression grade (TRG) at final histology was also assessed. Image features from texture analysis were quantified, with and without filters for fine to coarse textures. Patients with TRG 1-3 were considered responders while TRG 4-5 as non- responders. The response rate to neo-adjuvant therapy was assessed both at univariate and multivariate analysis. RESULTS Fourteen parameters were significantly different between the two subgroups at univariate analysis; in particular, entropy and compactness (higher in responders) and uniformity (lower in responders). According to our model, the following parameters could identify non-responders at multivariate analysis: entropy (≤6.86 with a logarithm of Odds Ratio - Log OR -: 4.11; p=0.003); range (>158.72; Log OR: 3.67; p=0.010) and root mean square (≤3.71; Log OR: 4.57; p=0.005). Entropy and three-dimensional volume were not significantly correlated (r=0.06; p=0.735). CONCLUSION Pre-treatment texture analysis can potentially provide important information regarding the response rate to neo-adjuvant therapy for gastric cancer, improving risk stratification.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
| | - Paolo Marra
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | | | - Annalaura Salerno
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Sofia Antunes
- Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy
| | - Damiano Chiari
- Vita-Salute San Raffaele University, Milan, Italy; Department of Surgery, San Raffaele Scientific Institute, Milan, Italy
| | - Elena Orsenigo
- Department of Surgery, San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Esposito
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Elena Mazza
- Department of Oncology, San Raffaele Scientific Institute, Milan, Italy
| | - Luca Albarello
- Pathology Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Roberto Nicoletti
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy
| | - Carlo Staudacher
- Vita-Salute San Raffaele University, Milan, Italy; Department of Surgery, San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Del Maschio
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Francesco De Cobelli
- Department of Radiology and Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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Giganti F, Ambrosi A, Chiari D, Orsenigo E, Esposito A, Mazza E, Albarello L, Staudacher C, Del Maschio A, De Cobelli F. Apparent diffusion coefficient by diffusion-weighted magnetic resonance imaging as a sole biomarker for staging and prognosis of gastric cancer. Chin J Cancer Res 2017; 29:118-126. [PMID: 28536490 PMCID: PMC5422413 DOI: 10.21147/j.issn.1000-9604.2017.02.04] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Objective To investigate the role of apparent diffusion coefficient (ADC) from diffusion-weighted magnetic resonance imaging (DW-MRI) when applied to the 7th TNM classification in the staging and prognosis of gastric cancer (GC). Methods Between October 2009 and May 2014, a total of 89 patients with non-metastatic, biopsy proven GC underwent 1.5T DW-MRI, and then treated with radical surgery. Tumor ADC was measured retrospectively and compared with final histology following the 7th TNM staging (local invasion, nodal involvement and according to the different groups — stage I, II and III). Kaplan-Meier curves were also generated. The follow-up period is updated to May 2016. Results Median follow-up period was 33 months and 45/89 (51%) deaths from GC were observed. ADC was significantly different both for local invasion and nodal involvement (P<0.001). Considering final histology as the reference standard, a preoperative ADC cut-off of 1.80×10–3 mm2/s could distinguish between stages I and II and an ADC value of ≤1.36×10–3 mm2/s was associated with stage III (P<0.001). Kaplan-Meier curves demonstrated that the survival rates for the three prognostic groups were significantly different according to final histology and ADC cut-offs (P<0.001).
Conclusions ADC is different according to local invasion, nodal involvement and the 7th TNM stage groups for GC, representing a potential, additional prognostic biomarker. The addition of DW-MRI could aid in the staging and risk stratification of GC.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Ambrosi
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy
| | - Damiano Chiari
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Elena Orsenigo
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Esposito
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Elena Mazza
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy
| | - Luca Albarello
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy
| | - Carlo Staudacher
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Del Maschio
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Francesco De Cobelli
- Department of Radiology and Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
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Giganti F, Antunes S, Salerno A, Ambrosi A, Marra P, Nicoletti R, Orsenigo E, Chiari D, Albarello L, Staudacher C, Esposito A, Del Maschio A, De Cobelli F. Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker. Eur Radiol 2016; 27:1831-1839. [PMID: 27553932 DOI: 10.1007/s00330-016-4540-y] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 06/17/2016] [Accepted: 08/01/2016] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To investigate the association between preoperative texture analysis from multidetector computed tomography (MDCT) and overall survival in patients with gastric cancer. METHODS Institutional review board approval and informed consent were obtained. Fifty-six patients with biopsy-proved gastric cancer were examined by MDCT and treated with surgery. Image features from texture analysis were quantified, with and without filters for fine to coarse textures. The association with survival time was assessed using Kaplan-Meier and Cox analysis. RESULTS The following parameters were significantly associated with a negative prognosis, according to different thresholds: energy [no filter] - Logarithm of relative risk (Log RR): 3.25; p = 0.046; entropy [no filter] (Log RR: 5.96; p = 0.002); entropy [filter 1.5] (Log RR: 3.54; p = 0.027); maximum Hounsfield unit value [filter 1.5] (Log RR: 3.44; p = 0.027); skewness [filter 2] (Log RR: 5.83; p = 0.004); root mean square [filter 1] (Log RR: - 2.66; p = 0.024) and mean absolute deviation [filter 2] (Log RR: - 4.22; p = 0.007). CONCLUSIONS Texture analysis could increase the performance of a multivariate prognostic model for risk stratification in gastric cancer. Further evaluations are warranted to clarify the clinical role of texture analysis from MDCT. KEY POINTS • Textural analysis from computed tomography can be applied in gastric cancer. • Preoperative non-invasive texture features are related to prognosis in gastric cancer. • Texture analysis could help to evaluate the aggressiveness of this tumour.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
- San Raffaele Vita-Salute University, Milan, Italy.
| | - Sofia Antunes
- Centre for Experimental Imaging, San Raffaele Scientific Institute, Milan, Italy
| | - Annalaura Salerno
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- San Raffaele Vita-Salute University, Milan, Italy
| | | | - Paolo Marra
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- San Raffaele Vita-Salute University, Milan, Italy
| | - Roberto Nicoletti
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Elena Orsenigo
- Department of Surgery, San Raffaele Scientific Institute, Milan, Italy
| | - Damiano Chiari
- San Raffaele Vita-Salute University, Milan, Italy
- Department of Surgery, San Raffaele Scientific Institute, Milan, Italy
| | - Luca Albarello
- Pathology Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Carlo Staudacher
- San Raffaele Vita-Salute University, Milan, Italy
- Department of Surgery, San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Esposito
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- San Raffaele Vita-Salute University, Milan, Italy
| | - Alessandro Del Maschio
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- San Raffaele Vita-Salute University, Milan, Italy
| | - Francesco De Cobelli
- Department of Radiology and Centre for Experimental Imaging San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- San Raffaele Vita-Salute University, Milan, Italy
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Abstract
Due to the advances in imaging technology, the diagnosis, staging, and efficacy evaluation of gastric cancer by imaging are continuously improving. This paper comprehensively analyzes different imaging methods in cancer research, focusing on new imaging techniques for the diagnosis and treatment of gastric cancer, their advantages and limitations in clinical application, and the opportunities and challenges. Radiologists can take the initiative to collaborate with relevant clinical departments through a multidisciplinary platform with an open mind in the face of various problems presented clinically, understand the requirements for standardized diagnosis and treatment of gastric cancer, and fully communicate with imaging equipment providers and engineering and technical personnel to explore more methods and indicators to improve the diagnosis of this malignancy.
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Malmstrøm ML, Săftoiu A, Vilmann P, Klausen TW, Gögenur I. Endoscopic ultrasound for staging of colonic cancer proximal to the rectum: A systematic review and meta-analysis. Endosc Ultrasound 2016; 5:307-314. [PMID: 27803903 PMCID: PMC5070288 DOI: 10.4103/2303-9027.191610] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Background and Objectives: Treatment of colonic cancer patients is highly dependent on the depth of tumor invasion (T-stage) as well as the extension of lymph node involvement (N-stage). We aimed to systematically review the accuracy of endoscopic ultrasound (EUS) for staging of colonic cancer proximal to the rectum. Patients and Methods: Men and women with colonic adenocarcinomas were included in the study. EUS staging was compared to histopathology as the gold standard. Outcome measures were T- and N-staging accuracies. Articles were searched in PubMed, Web of Science, The Cochrane Library, and EMBASE. Results: Six studies were identified comparing EUS staging of colonic cancer to histopathology. The pooled-staging sensitivity and specificity were 0.90 and 0.98 for T1 tumors, 0.67 and 0.96 for T2 tumors, and 0.97 and 0.83 for T3/T4 tumors, respectively. Sensitivity and specificity for N + disease were 0.59 and 0.78, respectively. Conclusions: EUS is a feasible method for T-staging of cancers of the colon proximal to the rectum. The accuracy of lymph node staging needs to be verified by prospective multicenter studies including larger patient populations.
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Affiliation(s)
- Marie Louise Malmstrøm
- Department of Surgery, Endoscopy Unit, Herlev University Hospital, Herlev, Denmark, Romania
| | - Adrian Săftoiu
- Department of Surgery, Endoscopy Unit, Herlev University Hospital, Herlev, Denmark, Romania; Research Center of Gastroenterology and Hepatology, University of Medicine and Pharmacy of Craiova, Craiova, Romania
| | - Peter Vilmann
- Department of Surgery, Endoscopy Unit, Herlev University Hospital, Herlev, Denmark, Romania
| | | | - Ismail Gögenur
- Department of Surgery, Zealand University Hospital, University of Copenhagen, Køge, Denmark, Romania
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