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Successful pregnancy after mucinous cystic neoplasm with invasive carcinoma of the pancreas in a patient with polycystic ovarian syndrome: a case report.

ABSTRACT: The incidence of invasive cancer within a mucinous cystic neoplasm of the pancreas varies between 6 and 36%. Polycystic ovarian syndrome is a disorder characterized by hyperandrogenism and anovulatory infertility. One surgical treatment that can restore endocrine balance and ovulation in polycystic ovarian syndrome is partial ovarian destruction. Successful pregnancies following preconception pancreaticoduodenectomies (Whipple procedures) and chemoradiation to treat pancreatic neoplasms have been reported rarely but none were diagnosed with pre-cancer polycystic ovarian syndrome-associated infertility. Gemcitabine is an antimetabolite drug used for the treatment of pancreatic cancer that can have profound detrimental effects on oogenesis and ovarian function. Whether the ovarian destructive property of gemcitabine could act as a method to restore ovulation potential in polycystic ovarian syndrome is unknown.A 40-year-old white American woman with a history of pancreatic cancer treatment with a Whipple procedure and chemoradiation with gemcitabine had a successful pregnancy after years of pre-cancerous anovulatory infertility and polycystic ovarian syndrome. She received no fertility agents and delivered full term via a spontaneous vaginal delivery with no pregnancy complications.Gemcitabine treatment for pancreatic cancer may result in resumption of ovulation in women with polycystic ovarian syndrome and these women should be counseled accordingly.

SUBMITTER: Holloman C

PROVIDER: S-EPMC5504786 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

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Project description:PurposeThis study aimed to develop and verify a multi-phase (MP) computed tomography (CT)-based radiomics nomogram to differentiate pancreatic serous cystic neoplasms (SCNs) from mucinous cystic neoplasms (MCNs), and to compare the diagnostic efficacy of radiomics models for different phases of CT scans.Materials and methodsA total of 170 patients who underwent surgical resection between January 2011 and December 2018, with pathologically confirmed pancreatic cystic neoplasms (SCN=115, MCN=55) were included in this single-center retrospective study. Radiomics features were extracted from plain scan (PS), arterial phase (AP), and venous phase (VP) CT scans. Algorithms were performed to identify the optimal features to build a radiomics signature (Radscore) for each phase. All features from these three phases were analyzed to develop the MP-Radscore. A combined model comprised the MP-Radscore and imaging features from which a nomogram was developed. The accuracy of the nomogram was evaluated using receiver operating characteristic (ROC) curves, calibration tests, and decision curve analysis.ResultsFor each scan phase, 1218 features were extracted, and the optimal ones were selected to construct the PS-Radscore (11 features), AP-Radscore (11 features), and VP-Radscore (12 features). The MP-Radscore (14 features) achieved better performance based on ROC curve analysis than any single phase did [area under the curve (AUC), training cohort: MP-Radscore 0.89, PS-Radscore 0.78, AP-Radscore 0.83, VP-Radscore 0.85; validation cohort: MP-Radscore 0.88, PS-Radscore 0.77, AP-Radscore 0.83, VP-Radscore 0.84]. The combination nomogram performance was excellent, surpassing those of all other nomograms in both the training cohort (AUC, 0.91) and validation cohort (AUC, 0.90). The nomogram also performed well in the calibration and decision curve analyses.ConclusionsRadiomics for arterial and venous single-phase models outperformed the plain scan model. The combination nomogram that incorporated the MP-Radscore, tumor location, and cystic number had the best discriminatory performance and showed excellent accuracy for differentiating SCN from MCN.

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Successful pregnancy after mucinous cystic neoplasm with invasive carcinoma of the pancreas in a patient with polycystic ovarian syndrome: a case report.

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