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IVUS计算

IRC_NewDev
he 2024-09-23 15:20:07 +08:00
parent e9bb71f5c9
commit 8c51ae350c
4 changed files with 367 additions and 157 deletions
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35
IRaCIS.Core.Application/IRaCIS.Core.Application.xml
View File

@ -2721,6 +2721,12 @@
<param name="calculateType"></param>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.CalculatePatchDataStatisticsAndPVA(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<summary>
计算斑块数据统计和PVA数据
</summary>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.VerifyVisitTaskQuestions(IRaCIS.Core.Application.Service.Reading.Dto.VerifyVisitTaskQuestionsInDto)">
<summary>
验证访视提交
@ -2728,40 +2734,23 @@
<param name="inDto"></param>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetEEM(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetPlaque1PVA(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<summary>
计算NTAV的EEM
获取斑块1-PAV
</summary>
<param name="inDto"></param>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetEEMLumenSum(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetPlaque2PVA(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<summary>
获取(EEM-Lumen)求和
获取斑块2-PAV
</summary>
<param name="inDto"></param>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetNTAVEEMLumenSumOrRetraceImageCount(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetPlaque3PVA(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<summary>
计算NTAV的（EEM-Lumen）求和/回撤中的图像数
</summary>
<param name="inDto"></param>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetPAV(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<summary>
冠状动脉粥样硬化体积百分比（PAV）
</summary>
<remarks>
（EEM-Lumen）求和/EEM求和✖️100，单位%
</remarks>
<param name="inDto"></param>
<returns></returns>
</member>
<member name="M:IRaCIS.Core.Application.Service.ReadingCalculate.IVUSCalculateService.GetNTAV(IRaCIS.Core.Application.Service.Reading.Dto.ReadingCalculateDto)">
<summary>
总动脉粥样硬化体积（NTAV）
获取斑块3-PAV
</summary>
<param name="inDto"></param>
<returns></returns>

362
IRaCIS.Core.Application/Service/ReadingCalculate/IVUSCalculateService.cs
View File

@ -2,8 +2,10 @@
using IRaCIS.Core.Application.ViewModel;
using IRaCIS.Core.Domain.Share;
using IRaCIS.Core.Infra.EFCore.Common;
using MassTransit;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Extensions.Logging;
using Microsoft.IdentityModel.Tokens;
namespace IRaCIS.Core.Application.Service.ReadingCalculate
{
@ -82,7 +84,7 @@ namespace IRaCIS.Core.Application.Service.ReadingCalculate
//public async Task<FileResult> GetMeasuredValueTemplate(GetMeasuredValueTemplateInDto inDto)
//{
//}
#region 获取阅片报告
@ -449,23 +451,20 @@ namespace IRaCIS.Core.Application.Service.ReadingCalculate
#region 计算 这里顺序非常重要 后面计算的值要依赖前面计算的结果
var needAddList = new List<ReadingTaskQuestionAnswer>();
// 计算斑块数据统计和PVA数据
await this.CalculatePatchDataStatisticsAndPVA(inDto);
List<ReadingCalculateData> calculateList = new List<ReadingCalculateData>()
{
// EEM求和
new ReadingCalculateData (){QuestionType=QuestionType.EEMSum,GetDecimalNullFun=GetEEM},
// 斑块1-PAV
new ReadingCalculateData (){QuestionType=QuestionType.Plaque1PVA,GetDecimalNullFun=GetPlaque1PVA},
// (EEM-Lumen)求和
new ReadingCalculateData (){QuestionType=QuestionType.EEMLumenSum,GetDecimalNullFun=GetEEMLumenSum},
// 斑块2-PAV
new ReadingCalculateData (){QuestionType=QuestionType.Plaque2PVA,GetDecimalNullFun=GetPlaque2PVA},
// 计算NTAV的（EEM-Lumen）求和/回撤中的图像数
new ReadingCalculateData (){QuestionType=QuestionType.NTAVEEMLumenSumOrRetraceImageCount,GetDecimalNullFun=GetNTAVEEMLumenSumOrRetraceImageCount},
// 斑块3-PAV
new ReadingCalculateData (){QuestionType=QuestionType.Plaque3PVA,GetDecimalNullFun=GetPlaque3PVA},
// 冠状动脉粥样硬化体积百分比（PAV）
new ReadingCalculateData (){QuestionType=QuestionType.PAV,GetDecimalNullFun=GetPAV},
// 总动脉粥样硬化体积（NTAV）
new ReadingCalculateData (){QuestionType=QuestionType.NTAV,GetDecimalNullFun=GetNTAV},
@ -562,8 +561,177 @@ namespace IRaCIS.Core.Application.Service.ReadingCalculate
}
/// <summary>
/// 计算斑块数据统计和PVA数据
/// </summary>
/// <returns></returns>
public async Task CalculatePatchDataStatisticsAndPVA(ReadingCalculateDto inDto)
{
// 斑块的表格问题Id
var questionInfo = inDto.QuestionInfo.Where(x => x.LesionType == LesionType.PatchDataStatistics).FirstOrDefault();
// pAV 问题信息
var pAVquestionInfo = inDto.QuestionInfo.Where(x => x.LesionType == LesionType.PAV).FirstOrDefault();
// 测量值集合
var matchValuesAnswerList = inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).ToList();
// 获取编号
var nums = matchValuesAnswerList.SelectMany(x => x.TableQuestionList).Where(x => x.QuestionMark == QuestionMark.PlaqueNumber).Select(x => int.Parse(x.Answer)).Distinct().OrderBy(x => x).ToList();
List<ReadingTableAnswerRowInfo> tableAnsweRowInfos = new List<ReadingTableAnswerRowInfo>();
List<ReadingTableQuestionAnswer> tableAnswers = new List<ReadingTableQuestionAnswer>();
foreach (var item in nums)
{
var newRowId = NewId.NextGuid();
var thisnumTableRows = inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).Where(x => x.TableQuestionList.Any(y => y.QuestionMark == QuestionMark.PlaqueNumber && y.Answer == item.ToString())).ToList();
// 斑块数据统计
tableAnsweRowInfos.Add(new ReadingTableAnswerRowInfo()
{
Id = newRowId,
QuestionId = questionInfo!.QuestionId,
VisitTaskId = inDto.VisitTaskId,
TrialId = inDto.TrialId,
RowIndex = item,
IsCurrentTaskAdd = true,
BlindName = inDto.BlindName,
OrderMark = questionInfo.OrderMark,
FristAddTaskNum = inDto.VisitTaskNum,
FristAddTaskId = inDto.VisitTaskId,
RowMark = questionInfo.OrderMark + decimal.Parse(item.ToString()).GetLesionMark()
});
// 斑块
tableAnswers.Add(new ReadingTableQuestionAnswer()
{
Answer = item.ToString(),
Id = NewId.NextGuid(),
QuestionId = questionInfo!.QuestionId,
TrialId = inDto.TrialId,
VisitTaskId = inDto.VisitTaskId,
RowId = newRowId,
RowIndex = item,
TableQuestionId = await _readingTableQuestionTrialRepository.Where(x => x.ReadingQuestionId == questionInfo.QuestionId && x.QuestionMark == QuestionMark.PlaqueNumber).Select(x => x.Id).FirstOrDefaultAsync(),
});
#region 数据计算
var emm = thisnumTableRows.SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.ElasticArea).Select(x => x.Answer.IsNullOrEmptyReturn0()).Sum().ToString();
var EEMLumen = thisnumTableRows.SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.ElasticAreaDiffValue).Select(x => x.Answer.IsNullOrEmptyReturn0()).Sum().ToString();
var pav = "";
if (emm != null && EEMLumen != null)
{
var emmNum = decimal.Round(decimal.Parse(emm ?? "0"));
var EEMLumenNum = decimal.Round(decimal.Parse(EEMLumen ?? "0"));
if (emmNum != 0)
{
pav = (EEMLumenNum * 100 / emmNum).ToString();
}
}
if (inDto.DigitPlaces != -1)
{
emm = decimal.Round(decimal.Parse(emm ?? "0"), inDto.DigitPlaces).ToString("F" + inDto.DigitPlaces.ToString());
EEMLumen = decimal.Round(decimal.Parse(EEMLumen ?? "0"), inDto.DigitPlaces).ToString("F" + inDto.DigitPlaces.ToString());
pav = decimal.Round(decimal.Parse(pav ?? "0"), inDto.DigitPlaces).ToString("F" + inDto.DigitPlaces.ToString());
}
#endregion
#region 冠状动脉粥样硬化体积百分比（PAV）
var newPAVRowId = NewId.NextGuid();
// 斑块数据统计
tableAnsweRowInfos.Add(new ReadingTableAnswerRowInfo()
{
Id = newPAVRowId,
QuestionId = pAVquestionInfo!.QuestionId,
VisitTaskId = inDto.VisitTaskId,
TrialId = inDto.TrialId,
RowIndex = item,
IsCurrentTaskAdd = true,
BlindName = inDto.BlindName,
OrderMark = pAVquestionInfo.OrderMark,
FristAddTaskNum = inDto.VisitTaskNum,
FristAddTaskId = inDto.VisitTaskId,
RowMark = pAVquestionInfo.OrderMark + decimal.Parse(item.ToString()).GetLesionMark()
});
// 斑块
tableAnswers.Add(new ReadingTableQuestionAnswer()
{
Answer = item.ToString(),
Id = NewId.NextGuid(),
QuestionId = pAVquestionInfo!.QuestionId,
TrialId = inDto.TrialId,
VisitTaskId = inDto.VisitTaskId,
RowId = newPAVRowId,
RowIndex = item,
TableQuestionId = await _readingTableQuestionTrialRepository.Where(x => x.ReadingQuestionId == pAVquestionInfo.QuestionId && x.QuestionMark == QuestionMark.PlaqueNumber).Select(x => x.Id).FirstOrDefaultAsync(),
});
// PAV
tableAnswers.Add(new ReadingTableQuestionAnswer()
{
Answer = pav,
Id = NewId.NextGuid(),
QuestionId = pAVquestionInfo!.QuestionId,
TrialId = inDto.TrialId,
VisitTaskId = inDto.VisitTaskId,
RowId = newPAVRowId,
RowIndex = item,
TableQuestionId = await _readingTableQuestionTrialRepository.Where(x => x.ReadingQuestionId == pAVquestionInfo.QuestionId && x.QuestionMark == QuestionMark.PAV).Select(x => x.Id).FirstOrDefaultAsync(),
});
#endregion
// EMM 求和
tableAnswers.Add(new ReadingTableQuestionAnswer()
{
Answer = emm,
QuestionId = questionInfo!.QuestionId,
TrialId = inDto.TrialId,
VisitTaskId = inDto.VisitTaskId,
RowId = newRowId,
RowIndex = item,
TableQuestionId = await _readingTableQuestionTrialRepository.Where(x => x.ReadingQuestionId == questionInfo.QuestionId && x.QuestionMark == QuestionMark.EEMSum).Select(x => x.Id).FirstOrDefaultAsync(),
});
// (EEM-Lumen)求和
tableAnswers.Add(new ReadingTableQuestionAnswer()
{
Answer = EEMLumen,
Id = NewId.NextGuid(),
QuestionId = questionInfo!.QuestionId,
TrialId = inDto.TrialId,
VisitTaskId = inDto.VisitTaskId,
RowId = newRowId,
RowIndex = item,
TableQuestionId = await _readingTableQuestionTrialRepository.Where(x => x.ReadingQuestionId == questionInfo.QuestionId && x.QuestionMark == QuestionMark.EEMSubtractLumenSum).Select(x => x.Id).FirstOrDefaultAsync(),
});
}
await _readingTableAnswerRowInfoRepository.BatchDeleteNoTrackingAsync(x => (x.QuestionId == questionInfo.QuestionId || x.QuestionId == pAVquestionInfo.QuestionId) && x.VisitTaskId == inDto.VisitTaskId);
await _readingTableQuestionAnswerRepository.BatchDeleteNoTrackingAsync(x => (x.QuestionId == questionInfo.QuestionId || x.QuestionId == pAVquestionInfo.QuestionId) && x.VisitTaskId == inDto.VisitTaskId);
await _readingTableAnswerRowInfoRepository.AddRangeAsync(tableAnsweRowInfos);
await _readingTableQuestionAnswerRepository.AddRangeAsync(tableAnswers);
await _readingTableQuestionAnswerRepository.SaveChangesAsync();
}
/// <summary>
/// 验证访视提交
@ -576,98 +744,132 @@ namespace IRaCIS.Core.Application.Service.ReadingCalculate
}
/// <summary>
/// 计算NTAV的EEM
/// 获取斑块1-PAV
/// </summary>
/// <param name="inDto"></param>
/// <returns></returns>
public async Task<decimal?> GetEEM(ReadingCalculateDto inDto)
public async Task<decimal?> GetPlaque1PVA(ReadingCalculateDto inDto)
{
if (inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).Count() == 0)
{
return null;
}
return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.ElasticArea).Select(x => x.Answer.IsNullOrEmptyReturn0()).Sum();
return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.PAV).SelectMany(x => x.TableRowInfoList).Where(x=>x.TableQuestionList.Any(y=>y.QuestionMark==QuestionMark.PlaqueNumber&&y.Answer.IsNullOrEmptyReturn0()==1)).SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.PAV).Select(x=>x.Answer).FirstIsNullReturnEmpty().IsNullOrEmptyReturn0();
}
/// <summary>
/// 获取(EEM-Lumen)求和
/// 获取斑块2-PAV
/// </summary>
/// <param name="inDto"></param>
/// <returns></returns>
public async Task<decimal?> GetEEMLumenSum(ReadingCalculateDto inDto)
public async Task<decimal?> GetPlaque2PVA(ReadingCalculateDto inDto)
{
if (inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).Count() == 0)
{
return null;
}
return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.ElasticAreaDiffValue).Select(x => x.Answer.IsNullOrEmptyReturn0()).Sum();
return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.PAV).SelectMany(x => x.TableRowInfoList).Where(x => x.TableQuestionList.Any(y => y.QuestionMark == QuestionMark.PlaqueNumber && y.Answer.IsNullOrEmptyReturn0() == 2)).SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.PAV).Select(x => x.Answer).FirstIsNullReturnEmpty().IsNullOrEmptyReturn0();
}
/// <summary>
/// 计算NTAV的（EEM-Lumen）求和/回撤中的图像数
/// 获取斑块3-PAV
/// </summary>
/// <param name="inDto"></param>
/// <returns></returns>
public async Task<decimal?> GetNTAVEEMLumenSumOrRetraceImageCount(ReadingCalculateDto inDto)
public async Task<decimal?> GetPlaque3PVA(ReadingCalculateDto inDto)
{
var eEMLumenSum = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.EEMLumenSum).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
var retracedFramesNumber = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.RetracedFramesNumber).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
if (eEMLumenSum == 0 || retracedFramesNumber == 0)
{
return null;
}
return eEMLumenSum / retracedFramesNumber;
return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.PAV).SelectMany(x => x.TableRowInfoList).Where(x => x.TableQuestionList.Any(y => y.QuestionMark == QuestionMark.PlaqueNumber && y.Answer.IsNullOrEmptyReturn0() == 3)).SelectMany(x => x.TableQuestionList)
.Where(x => x.QuestionMark == QuestionMark.PAV).Select(x => x.Answer).FirstIsNullReturnEmpty().IsNullOrEmptyReturn0();
}
/// <summary>
/// 冠状动脉粥样硬化体积百分比（PAV）
/// </summary>
/// <remarks>
/// （EEM-Lumen）求和/EEM求和✖️100，单位%
/// </remarks>
/// <param name="inDto"></param>
/// <returns></returns>
public async Task<decimal?> GetPAV(ReadingCalculateDto inDto)
{
var eEMLumenSum = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.EEMLumenSum).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
var eEMSum = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.EEMSum).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
///// <summary>
///// 计算NTAV的EEM
///// </summary>
///// <param name="inDto"></param>
///// <returns></returns>
//public async Task<decimal?> GetEEM(ReadingCalculateDto inDto)
//{
// if (inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).Count() == 0)
// {
// return null;
// }
// return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).SelectMany(x => x.TableQuestionList)
// .Where(x => x.QuestionMark == QuestionMark.ElasticArea).Select(x => x.Answer.IsNullOrEmptyReturn0()).Sum();
if (eEMSum == 0)
{
return null;
}
else
{
return eEMLumenSum / eEMSum * 100;
}
}
//}
/// <summary>
/// 总动脉粥样硬化体积（NTAV）
/// </summary>
/// <param name="inDto"></param>
/// <returns></returns>
public async Task<decimal?> GetNTAV(ReadingCalculateDto inDto)
{
var result = await GetNTAVEEMLumenSumOrRetraceImageCount(inDto);
///// <summary>
///// 获取(EEM-Lumen)求和
///// </summary>
///// <param name="inDto"></param>
///// <returns></returns>
//public async Task<decimal?> GetEEMLumenSum(ReadingCalculateDto inDto)
//{
// if (inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).Count() == 0)
// {
// return null;
// }
// return inDto.QuestionInfo.Where(x => x.LesionType == LesionType.MatchValues).SelectMany(x => x.TableRowInfoList).SelectMany(x => x.TableQuestionList)
// .Where(x => x.QuestionMark == QuestionMark.ElasticAreaDiffValue).Select(x => x.Answer.IsNullOrEmptyReturn0()).Sum();
var medianFrame = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.MedianFrame).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
if (result == null || medianFrame == 0)
{
return null;
}
else
{
return result.Value * medianFrame;
}
}
//}
///// <summary>
///// 计算NTAV的（EEM-Lumen）求和/回撤中的图像数
///// </summary>
///// <param name="inDto"></param>
///// <returns></returns>
//public async Task<decimal?> GetNTAVEEMLumenSumOrRetraceImageCount(ReadingCalculateDto inDto)
//{
// var eEMLumenSum = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.EEMLumenSum).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
// var retracedFramesNumber = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.RetracedFramesNumber).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
// if (eEMLumenSum == 0 || retracedFramesNumber == 0)
// {
// return null;
// }
// return eEMLumenSum / retracedFramesNumber;
//}
///// <summary>
///// 冠状动脉粥样硬化体积百分比（PAV）
///// </summary>
///// <remarks>
///// （EEM-Lumen）求和/EEM求和✖️100，单位%
///// </remarks>
///// <param name="inDto"></param>
///// <returns></returns>
//public async Task<decimal?> GetPAV(ReadingCalculateDto inDto)
//{
// var eEMLumenSum = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.EEMLumenSum).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
// var eEMSum = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.EEMSum).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
// if (eEMSum == 0)
// {
// return null;
// }
// else
// {
// return eEMLumenSum / eEMSum * 100;
// }
//}
///// <summary>
///// 总动脉粥样硬化体积（NTAV）
///// </summary>
///// <param name="inDto"></param>
///// <returns></returns>
//public async Task<decimal?> GetNTAV(ReadingCalculateDto inDto)
//{
// var result = await GetNTAVEEMLumenSumOrRetraceImageCount(inDto);
// var medianFrame = inDto.QuestionInfo.Where(x => x.QuestionType == QuestionType.MedianFrame).Select(x => x.Answer).FirstOrDefault().IsNullOrEmptyReturn0();
// if (result == null || medianFrame == 0)
// {
// return null;
// }
// else
// {
// return result.Value * medianFrame;
// }
//}
#region 将上一次的访视病灶添加到这一次

16
IRaCIS.Core.Application/Service/ReadingCalculate/OCTCalculateService.cs
View File

@ -449,17 +449,17 @@ namespace IRaCIS.Core.Application.Service.ReadingCalculate
List<ReadingCalculateData> calculateList = new List<ReadingCalculateData>()
{
// 匹配动脉段最小FCT
new ReadingCalculateData (){QuestionType=QuestionType.MinFCT,GetDecimalNullFun=GetAllMinFCT},
//// 匹配动脉段最小FCT
//new ReadingCalculateData (){QuestionType=QuestionType.MinFCT,GetDecimalNullFun=GetAllMinFCT},
// 平均最小FCT
new ReadingCalculateData (){QuestionType=QuestionType.AverageMinFCT,GetDecimalNullFun=GetAvgMinFCT},
// // 平均最小FCT
// new ReadingCalculateData (){QuestionType=QuestionType.AverageMinFCT,GetDecimalNullFun=GetAvgMinFCT},
// 脂质角度平均值
new ReadingCalculateData (){QuestionType=QuestionType.AvgLipidAngle,GetDecimalNullFun=GetAvgMinLipidAngle},
// // 脂质角度平均值
// new ReadingCalculateData (){QuestionType=QuestionType.AvgLipidAngle,GetDecimalNullFun=GetAvgMinLipidAngle},
// 脂质角度最大值
new ReadingCalculateData (){QuestionType=QuestionType.MaxLipidAngle,GetDecimalNullFun=GetAllMaxLipidAngle},
// // 脂质角度最大值
// new ReadingCalculateData (){QuestionType=QuestionType.MaxLipidAngle,GetDecimalNullFun=GetAllMaxLipidAngle},

111
IRaCIS.Core.Domain.Share/Reading/ReadEnum.cs
View File

@ -1777,19 +1777,29 @@ public enum SUVChangeVSBaseline
TriggeringIRECSIT = 8,
/// <summary>
/// FCT
/// 斑块数据统计
/// </summary>
FCT = 101,
PatchDataStatistics = 101,
/// <summary>
/// 各匹配片段测量值
/// </summary>
MatchValues = 102,
/// <summary>
/// 冠状动脉粥样硬化体积百分比（PAV）
/// </summary>
PAV = 103,
/// <summary>
/// 脂质角度
/// </summary>
LipidAngle = 103,
LipidAngle =111,
/// <summary>
/// FCT
/// </summary>
FCT = 112,
}
@ -2066,6 +2076,26 @@ public enum SUVChangeVSBaseline
/// </summary>
ElasticAreaDiffValue = 1003,
/// <summary>
/// 斑块编号
/// </summary>
PlaqueNumber = 1004,
/// <summary>
/// EEM求和
/// </summary>
EEMSum = 1005,
/// <summary>
/// (EEM-Lumen)求和
/// </summary>
EEMSubtractLumenSum = 1006,
/// <summary>
/// 冠状动脉粥样硬化体积百分比（PAV）
/// </summary>
PAV = 1007,
/// <summary>
/// FCT第一次测量值
/// </summary>
@ -2096,6 +2126,26 @@ public enum SUVChangeVSBaseline
/// </summary>
LipidAngle = 1016,
/// <summary>
/// 匹配动脉段最小FCT
/// </summary>
MiniMumFCT = 1017,
/// <summary>
/// 平均最小FCT
/// </summary>
AvgMinFCT=1018,
/// <summary>
/// 脂质角度平均值
/// </summary>
AvgLipidAngle = 1019,
/// <summary>
/// 脂质角度最大值
/// </summary>
MaxAvgLipidAngle = 1020,
}
@ -2458,65 +2508,34 @@ public enum SUVChangeVSBaseline
ImageQualityProblem = 67,
/// <summary>
/// 回撤中的图像帧数
/// 斑块1-PAV
/// </summary>
RetracedFramesNumber = 1003,
Plaque1PVA = 1003,
/// <summary>
/// 队列分析图像帧数的中位数
/// 斑块2-PAV
/// </summary>
MedianFrame = 1004,
Plaque2PVA = 1004,
/// <summary>
/// EEM求和
/// 斑块3-PAV
/// </summary>
EEMSum = 1005,
Plaque3PVA = 1005,
/// <summary>
/// (EEM-Lumen)求和
/// 斑块1-匹配动脉段最小FCT
/// </summary>
EEMLumenSum = 1006,
Plaque1MinFCT = 1006,
/// <summary>
/// 计算NTAV的（EEM-Lumen）求和/回撤中的图像数
/// 斑块2-匹配动脉段最小FCT
/// </summary>
NTAVEEMLumenSumOrRetraceImageCount = 1007,
Plaque2MinFCT = 1007,
/// <summary>
/// 冠状动脉粥样硬化体积百分比（PAV）
/// 斑块3-匹配动脉段最小FCT
/// </summary>
PAV = 1008,
/// <summary>
/// 总动脉粥样硬化体积（NTAV）
/// </summary>
NTAV = 1009,
/// <summary>
/// 匹配动脉段最小的FCT
/// </summary>
MinFCT = 1010,
/// <summary>
/// 平均最小FCT
/// </summary>
AverageMinFCT = 1011,
/// <summary>
/// 脂质角度
/// </summary>
LipidAngle = 1012,
/// <summary>
/// 脂质角度平均值
/// </summary>
AvgLipidAngle = 1013,
/// <summary>
/// 脂质角度最大值
/// </summary>
MaxLipidAngle = 1014,
Plaque3MinFCT = 1008,
}