000 | 01678 a2200505 4500 | ||
---|---|---|---|
005 | 20250517080351.0 | ||
264 | 0 | _c20161213 | |
008 | 201612s 0 0 eng d | ||
022 | _a1878-4046 | ||
024 | 7 |
_a10.1016/j.acra.2016.01.001 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aSun, Yanqin | |
245 | 0 | 0 |
_aThe Volume-metabolic Combined Parameters from (18)F-FDG PET/CT May Help Predict the Outcomes of Cervical Carcinoma. _h[electronic resource] |
260 |
_bAcademic radiology _cMay 2016 |
||
300 |
_a605-10 p. _bdigital |
||
500 | _aPublication Type: Journal Article | ||
650 | 0 | 4 | _aAdult |
650 | 0 | 4 | _aAged |
650 | 0 | 4 | _aAged, 80 and over |
650 | 0 | 4 |
_aCarcinoma, Squamous Cell _xdiagnostic imaging |
650 | 0 | 4 | _aFemale |
650 | 0 | 4 | _aFluorodeoxyglucose F18 |
650 | 0 | 4 | _aFollow-Up Studies |
650 | 0 | 4 |
_aGlycolysis _xphysiology |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 | _aMiddle Aged |
650 | 0 | 4 |
_aMultimodal Imaging _xmethods |
650 | 0 | 4 | _aNeoadjuvant Therapy |
650 | 0 | 4 |
_aPositron-Emission Tomography _xmethods |
650 | 0 | 4 | _aPrognosis |
650 | 0 | 4 | _aProportional Hazards Models |
650 | 0 | 4 | _aRadiopharmaceuticals |
650 | 0 | 4 | _aRetrospective Studies |
650 | 0 | 4 | _aSurvival Rate |
650 | 0 | 4 |
_aTomography, X-Ray Computed _xmethods |
650 | 0 | 4 | _aTreatment Outcome |
650 | 0 | 4 | _aTumor Burden |
650 | 0 | 4 |
_aUterine Cervical Neoplasms _xdiagnostic imaging |
650 | 0 | 4 |
_aWhole Body Imaging _xmethods |
650 | 0 | 4 | _aYoung Adult |
700 | 1 | _aLu, Peiou | |
700 | 1 | _aYu, Lijuan | |
773 | 0 |
_tAcademic radiology _gvol. 23 _gno. 5 _gp. 605-10 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.acra.2016.01.001 _zAvailable from publisher's website |
999 |
_c25710979 _d25710979 |