The role of MRI in the diagnosis and treatment of gastric cancer

Zhang, Yingjing; Yu, Jianchun

doi:10.5152/dir.2019.19375

Cited by 60 publications

(46 citation statements)

References 68 publications

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“…All patients enrolled in the study underwent laparoscopic radical gastrectomy with D2 lymph node dissection after NT. Preoperative staging work‐up included gastroscopy with biopsy, abdominal CT scan and endoscopic ultrasonography and/or abdominal magnetic resonance imaging 31 . In our center, we systematically perform routine nutritional risk screening and assessment for each patient at hospital admission.…”

Section: Methodsmentioning

confidence: 99%

“…Preoperative staging workup included gastroscopy with biopsy, abdominal CT scan and endoscopic ultrasonography and/or abdominal magnetic resonance imaging. 31 In our center, we systematically perform routine nutritional risk screening and assessment for each patient at hospital admission. All subjects were routinely screened for nutritional risk within 24 h of admission using Nutritional Risk Screening (NRS) 2002, and patients with scores ≥ 3 were considered at risk.…”

Section: Patientsmentioning

confidence: 99%

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Marked loss of adipose tissue during neoadjuvant therapy as a predictor for poor prognosis in patients with gastric cancer: A retrospective cohort study

Zhang

Jiang

et al. 2021

J Human Nutrition Diet

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Background:The influence of body composition changes during neoadjuvant treatment (NT) on long-term survival in patients with gastric cancer (GC) undergoing radical gastrectomy remains unclear. The present study aimed to explore the association between changes in body composition during NT and survival in patients with GC.Methods: GC patients treated with NT and radical gastrectomy between 2015 and 2018 were included in this retrospective study. Skeletal muscle mass, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were measured by computer tomography before and after NT. Body composition changes during NT were compared with Kaplan-Meier curves. Univariate and multivariate regression analyses were applied to determine the predictors of overall survival (OS) and disease-free survival (DFS).Results: In total, 157 GC patients were studied. A marked loss of adipose tissue was associated with poor nutritional status. The median follow-up time for all patients was 25 months. Patients with marked VAT loss (≥ 35.7%) during NT had significantly shorter OS (p = 0.028) and DFS (p = 0.03). Similarly, poorer OS (p = 0.033) and DFS (p = 0.003) were observed in patients with marked SAT loss (≥ 30.1%) during NT. Changes in skeletal muscle mass and body weight during NT were not associated with survival. Marked VAT loss accompanied by marked SAT loss was an independent predictor of OS (hazards ratio = 2.447; p = 0.045) and DFS (hazards ratio = 2.674; p = 0.018). Conclusions: Patients with locally advanced GC have a worse survival when they experienced marked loss of adipose tissue during NT.

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Section: Methodsmentioning

confidence: 99%

Section: Patientsmentioning

confidence: 99%

Marked loss of adipose tissue during neoadjuvant therapy as a predictor for poor prognosis in patients with gastric cancer: A retrospective cohort study

Zhang

Jiang

et al. 2021

J Human Nutrition Diet

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“…MRI is broadly applied to the diagnosis of liver metastases, as well as displaying capability for the diagnosis of peritoneal seeding [162]. The treatment response evaluation and the detection of lymph node metastases could take advantage of imaging biomarkers derived from functional MRI in the future [163].…”

Section: Imaging Strategiesmentioning

confidence: 99%

Gastric Cancer: Epidemiology, Risk Factors, Classification, Genomic Characteristics and Treatment Strategies

Machlowska

Baj

Sitarz

et al. 2020

IJMS

819

573

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Gastric cancer (GC) is one of the most common malignancies worldwide and it is the fourth leading cause of cancer-related death. GC is a multifactorial disease, where both environmental and genetic factors can have an impact on its occurrence and development. The incidence rate of GC rises progressively with age; the median age at diagnosis is 70 years. However, approximately 10% of gastric carcinomas are detected at the age of 45 or younger. Early-onset gastric cancer is a good model to study genetic alterations related to the carcinogenesis process, as young patients are less exposed to environmental carcinogens. Carcinogenesis is a multistage disease process specified by the progressive development of mutations and epigenetic alterations in the expression of various genes, which are responsible for the occurrence of the disease.

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“…CT is the most conventional noninvasive preoperative assessment of GC, but it is reported that CT is not capable of measuring the depth of early GC or the rest normal tissue in deeper layer of gastric wall and most of the early GC were not able to detect due to its poor soft tissue resolution (5-7). However, magnetic resonance imaging (MRI) is a promising technique with high soft tissue resolution used in the evaluation of GC (8). Currently, no worldwide criteria have been de ned with regard to T1 stage lesions (8)(9).…”

Section: Introductionmentioning

confidence: 99%

“…However, magnetic resonance imaging (MRI) is a promising technique with high soft tissue resolution used in the evaluation of GC (8). Currently, no worldwide criteria have been de ned with regard to T1 stage lesions (8)(9). The majority of the previous studies described visible lesions that were enhanced in tissues that did not exceed the submucosal layer as T1 stage according to MRI (10)(11)(12)(13)(14).…”

Section: Introductionmentioning

confidence: 99%

Differentiating T1a-T1b from T2 in Gastric Cancer Lesions with Three Different Measurement Approaches Based on Contrast-enhanced T1W Imaging at 3.0 Tesla

Yuan

Ren²,

Wang

et al. 2021

Preprint

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Background To explore the diagnostic value of three different measurement approaches in differentiating T1a-T1b from T2 gastric cancer (GC) lesions. Methods A total of 95 consecutive patients who performed preoperative MRI with T1a-T2 stage were retrospectively enrolled between January 2017 and November 2020. The parameters MRI T stage (subjective evaluation), thickness, maximum area and volume of the lesions were evaluated by two radiologists. Specific indices including AUC, optimal cutoff (if required), sensitivity, specificity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), positive predictive value (PPV) and negative predictive value (NPV) of MRI T stage, thickness, maximum area and volume for differentiating T1a-T1b from T2 staged lesions were calculated. The ROC curves were compared by the Delong test. Decision curve analysis (DCA) was used to evaluate the clinical benefit. Results The ROC curves for thickness (AUC = 0.926), maximum area (AUC = 0.902) and volume (AUC = 0.897) were all significantly better than those of the MRI T stage (AUC = 0.807) in differentiating T1a-T1b from T2 lesions, with p values of 0.004, 0.034 and 0.041, respectively. The values corresponding to the thickness (including AUC, sensitivity, specificity, accuracy, PPV, NPV, PLR and NLR) were all higher than those corresponding to the MRI T stage, maximum area and volume. The DCA curves indicated that the parameter thickness could provide the highest clinical benefit if the threshold probability was above 35%. Conclusions Thickness may provide an efficient approach to rapidly distinguish T1a-T1b from T2 staged GC lesions.

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The role of MRI in the diagnosis and treatment of gastric cancer

Cited by 60 publications

References 68 publications

Marked loss of adipose tissue during neoadjuvant therapy as a predictor for poor prognosis in patients with gastric cancer: A retrospective cohort study

Marked loss of adipose tissue during neoadjuvant therapy as a predictor for poor prognosis in patients with gastric cancer: A retrospective cohort study

Gastric Cancer: Epidemiology, Risk Factors, Classification, Genomic Characteristics and Treatment Strategies

Differentiating T1a-T1b from T2 in Gastric Cancer Lesions with Three Different Measurement Approaches Based on Contrast-enhanced T1W Imaging at 3.0 Tesla

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