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Colon cancer microsatellite instability influences computed tomography assessment of regional lymph node morphology and diagnostic performance.
Kim, Yong Tae; Min, Ji Hye; Choi, Kyue-Hee; Kim, Honsoul.
Afiliação
  • Kim YT; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Min JH; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Choi KH; Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Kim H; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea. Electronic address: pine0205@hanmail.net.
Eur J Radiol ; 154: 110396, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35709643
ABSTRACT

PURPOSE:

To elucidate whether a high level of microsatellite instability (MSI-high) in colon cancer influences the CT assessment of regional lymph node (rLN) morphology and diagnostic performance on predicting pathological node-negative (pN0) patients.

METHOD:

We retrospectively reviewed 507 patients with cecal/proximal ascending colon cancer (age, 63.0 ± 11.6 years; MSI-stable, n = 398; MSI-high, n = 109) who underwent right hemicolectomy between July 1, 2009, and December 31, 2018. Preoperative CT images were assessed for number of rLNs, long/short diameter of the largest rLN, and CT LN grade (CTN0, low probability of metastasis; CTN1, borderline; CTN2, high probability). Sensitivity, specificity, positive predictive value and negative predictive value for predicting pN0 was calculated. Multivariable logistic regression analysis was performed. Statistical significance was defined as P < 0.05.

RESULTS:

A study population of 507 patients (mean age ± standard deviation, 63.0 ± 11.6; 264 women) were evaluated. In patients with rLN metastasis, the rLN long axis (pN1 P = 0.013, pN2 P = 0.039) and short axis (pN1 P = 0.001, pN2 P = 0.009) were both longer in MSI-high tumors compared with MSI-stable tumors. High specificity for predicting pN0 was only achieved in MSI-high tumors [sensitivityMSI-stable = 58.3% (n = 137/235), specificityMSI-stable = 71.2% (n = 116/163); sensitivityMSI-high = 38.4% (n = 33/86), specificityMSI-high = 91.3% (n = 21/23)]. Multivariable logistic regression indicated MSI-high (P < 0.001, odds ratio = 3.701), smaller LN long axis (P = 0.023, odds ratio = 0.905), and lower CT LN grade (CTN0 P = 0.009, odds ratio = 2.987; CTN1 P = 0.014, odds ratio = 2.195) as significant parameters in predicting pN0.

CONCLUSION:

MSI-high colon cancer is associated with larger rLNs and high specificity for predicting pN0 on CT assessment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo / Instabilidade de Microssatélites Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo / Instabilidade de Microssatélites Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article