2016
DOI: 10.1016/j.ygyno.2016.05.010
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Preoperative nomogram for prediction of microscopic parametrial infiltration in patients with FIGO stage IB cervical cancer treated with radical hysterectomy

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Cited by 29 publications
(23 citation statements)
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“…Disruption of the cervical stromal ring on magnetic resonance imaging (MRI) is strongly predictive of microscopic parametrial infiltration in patients with early invasive cervical cancer (76,77). The patients with this MRI finding, if submitted to primary surgery, usually receive adjuvant radiotherapy or CCRT.…”
Section: Resultsmentioning
confidence: 99%
“…Disruption of the cervical stromal ring on magnetic resonance imaging (MRI) is strongly predictive of microscopic parametrial infiltration in patients with early invasive cervical cancer (76,77). The patients with this MRI finding, if submitted to primary surgery, usually receive adjuvant radiotherapy or CCRT.…”
Section: Resultsmentioning
confidence: 99%
“…Several authors have reported that cervical tumors in elderly women are prone to grow endophytically because the squamocolumnar junction is within the canal, and they have a higher incidence of PMI even when their tumors are 2 to 3 cm or less in size. 20,27,28 Kong et al 29 have reported that postmenopausal women had smaller tumor volumes (10.1 cm 3 in the premenopausal group vs 7.8 cm 3 in the postmenopausal group, P = 0.017) and lower FIGO stage compared with those in premenopausal women. However, the current study emphasizes that independently of menopausal status, endophytic growth is one of the most important preoperative features reflecting deep infiltration and PMI, which might be unrecognized in pelvic examination.…”
Section: Discussionmentioning
confidence: 97%
“…Nomograms have recently been developed to assess an individual probability of a certain event with validated indications in other gynecological malignancies [ 31 , 32 ]. Kong et al recently described such a nomogram for patients with stage IB disease [ 33 ]. Their model includes four parameters combining biological and imaging criteria to accurately predict parametrial invasion preoperatively.…”
Section: Discussionmentioning
confidence: 99%